mirror of
https://github.com/ostris/ai-toolkit.git
synced 2026-04-28 18:21:16 +00:00
Fixed some mismatched weights by adjusting tolerance. The mismatch ironically made the models better lol
This commit is contained in:
@@ -58,7 +58,7 @@
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"cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc1.weight": "te_text_model.encoder.layers.11.mlp.fc1.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc2.bias": "te_text_model.encoder.layers.11.mlp.fc2.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc2.weight": "te_text_model.encoder.layers.11.mlp.fc2.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.k_proj.bias": "te_text_model.encoder.layers.2.self_attn.k_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.k_proj.bias": "te_text_model.encoder.layers.11.self_attn.k_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.k_proj.weight": "te_text_model.encoder.layers.11.self_attn.k_proj.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.out_proj.bias": "te_text_model.encoder.layers.11.self_attn.out_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.out_proj.weight": "te_text_model.encoder.layers.11.self_attn.out_proj.weight",
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@@ -74,7 +74,7 @@
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"cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc1.weight": "te_text_model.encoder.layers.2.mlp.fc1.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc2.bias": "te_text_model.encoder.layers.2.mlp.fc2.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc2.weight": "te_text_model.encoder.layers.2.mlp.fc2.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.k_proj.bias": "te_text_model.encoder.layers.3.self_attn.k_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.k_proj.bias": "te_text_model.encoder.layers.2.self_attn.k_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.k_proj.weight": "te_text_model.encoder.layers.2.self_attn.k_proj.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.out_proj.bias": "te_text_model.encoder.layers.2.self_attn.out_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.out_proj.weight": "te_text_model.encoder.layers.2.self_attn.out_proj.weight",
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@@ -90,7 +90,7 @@
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"cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc1.weight": "te_text_model.encoder.layers.3.mlp.fc1.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc2.bias": "te_text_model.encoder.layers.3.mlp.fc2.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc2.weight": "te_text_model.encoder.layers.3.mlp.fc2.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.k_proj.bias": "te_text_model.encoder.layers.11.self_attn.k_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.k_proj.bias": "te_text_model.encoder.layers.3.self_attn.k_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.k_proj.weight": "te_text_model.encoder.layers.3.self_attn.k_proj.weight",
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"cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.out_proj.bias": "te_text_model.encoder.layers.3.self_attn.out_proj.bias",
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"cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.out_proj.weight": "te_text_model.encoder.layers.3.self_attn.out_proj.weight",
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@@ -446,11 +446,11 @@
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"first_stage_model.quant_conv.weight": "vae_quant_conv.weight",
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"model.diffusion_model.input_blocks.0.0.bias": "unet_conv_in.bias",
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"model.diffusion_model.input_blocks.0.0.weight": "unet_conv_in.weight",
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"model.diffusion_model.input_blocks.1.0.emb_layers.1.bias": "unet_down_blocks.0.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.1.0.emb_layers.1.bias": "unet_down_blocks.0.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.1.0.emb_layers.1.weight": "unet_down_blocks.0.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.1.0.in_layers.0.bias": "unet_down_blocks.0.resnets.0.norm1.bias",
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"model.diffusion_model.input_blocks.1.0.in_layers.0.weight": "unet_down_blocks.0.resnets.0.norm1.weight",
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"model.diffusion_model.input_blocks.1.0.in_layers.2.bias": "unet_down_blocks.0.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.1.0.in_layers.2.bias": "unet_down_blocks.0.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.1.0.in_layers.2.weight": "unet_down_blocks.0.resnets.0.conv1.weight",
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"model.diffusion_model.input_blocks.1.0.out_layers.0.bias": "unet_down_blocks.0.resnets.0.norm2.bias",
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"model.diffusion_model.input_blocks.1.0.out_layers.0.weight": "unet_down_blocks.0.resnets.0.norm2.weight",
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@@ -482,31 +482,31 @@
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"model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.weight": "unet_down_blocks.0.attentions.0.transformer_blocks.0.norm2.weight",
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"model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.bias": "unet_down_blocks.0.attentions.0.transformer_blocks.0.norm3.bias",
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"model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.0.attentions.0.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.input_blocks.10.0.emb_layers.1.bias": "unet_down_blocks.3.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.10.0.emb_layers.1.weight": "unet_time_embedding.linear_2.weight",
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"model.diffusion_model.input_blocks.10.0.emb_layers.1.bias": "unet_down_blocks.3.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.10.0.emb_layers.1.weight": "unet_down_blocks.3.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.10.0.in_layers.0.bias": "unet_down_blocks.3.resnets.0.norm1.bias",
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"model.diffusion_model.input_blocks.10.0.in_layers.0.weight": "unet_down_blocks.3.resnets.0.norm1.weight",
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"model.diffusion_model.input_blocks.10.0.in_layers.2.bias": "unet_down_blocks.3.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.10.0.in_layers.2.bias": "unet_down_blocks.3.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.10.0.in_layers.2.weight": "unet_down_blocks.3.resnets.0.conv1.weight",
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"model.diffusion_model.input_blocks.10.0.out_layers.0.bias": "unet_down_blocks.3.resnets.0.norm2.bias",
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"model.diffusion_model.input_blocks.10.0.out_layers.0.weight": "unet_down_blocks.3.resnets.0.norm2.weight",
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"model.diffusion_model.input_blocks.10.0.out_layers.3.bias": "unet_down_blocks.3.resnets.0.conv2.bias",
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"model.diffusion_model.input_blocks.10.0.out_layers.3.weight": "unet_down_blocks.3.resnets.0.conv2.weight",
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"model.diffusion_model.input_blocks.11.0.emb_layers.1.bias": "unet_down_blocks.3.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.11.0.emb_layers.1.weight": "unet_down_blocks.3.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.11.0.emb_layers.1.bias": "unet_down_blocks.3.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.11.0.emb_layers.1.weight": "unet_down_blocks.3.resnets.1.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.11.0.in_layers.0.bias": "unet_down_blocks.3.resnets.1.norm1.bias",
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"model.diffusion_model.input_blocks.11.0.in_layers.0.weight": "unet_down_blocks.3.resnets.1.norm1.weight",
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"model.diffusion_model.input_blocks.11.0.in_layers.2.bias": "unet_down_blocks.3.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.11.0.in_layers.2.bias": "unet_down_blocks.3.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.11.0.in_layers.2.weight": "unet_down_blocks.3.resnets.1.conv1.weight",
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"model.diffusion_model.input_blocks.11.0.out_layers.0.bias": "unet_down_blocks.3.resnets.1.norm2.bias",
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"model.diffusion_model.input_blocks.11.0.out_layers.0.weight": "unet_down_blocks.3.resnets.1.norm2.weight",
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"model.diffusion_model.input_blocks.11.0.out_layers.3.bias": "unet_down_blocks.3.resnets.1.conv2.bias",
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"model.diffusion_model.input_blocks.11.0.out_layers.3.weight": "unet_down_blocks.3.resnets.1.conv2.weight",
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"model.diffusion_model.input_blocks.2.0.emb_layers.1.bias": "unet_down_blocks.0.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.2.0.emb_layers.1.bias": "unet_down_blocks.0.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.2.0.emb_layers.1.weight": "unet_down_blocks.0.resnets.1.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.2.0.in_layers.0.bias": "unet_down_blocks.0.resnets.1.norm1.bias",
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"model.diffusion_model.input_blocks.2.0.in_layers.0.weight": "unet_down_blocks.0.resnets.1.norm1.weight",
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"model.diffusion_model.input_blocks.2.0.in_layers.2.bias": "unet_down_blocks.0.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.2.0.in_layers.2.bias": "unet_down_blocks.0.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.2.0.in_layers.2.weight": "unet_down_blocks.0.resnets.1.conv1.weight",
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"model.diffusion_model.input_blocks.2.0.out_layers.0.bias": "unet_down_blocks.0.resnets.1.norm2.bias",
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"model.diffusion_model.input_blocks.2.0.out_layers.0.weight": "unet_down_blocks.0.resnets.1.norm2.weight",
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@@ -540,11 +540,11 @@
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"model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.0.attentions.1.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.input_blocks.3.0.op.bias": "unet_down_blocks.0.downsamplers.0.conv.bias",
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"model.diffusion_model.input_blocks.3.0.op.weight": "unet_down_blocks.0.downsamplers.0.conv.weight",
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"model.diffusion_model.input_blocks.4.0.emb_layers.1.bias": "unet_down_blocks.1.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.4.0.emb_layers.1.bias": "unet_down_blocks.1.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.4.0.emb_layers.1.weight": "unet_down_blocks.1.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.4.0.in_layers.0.bias": "unet_down_blocks.1.resnets.0.norm1.bias",
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"model.diffusion_model.input_blocks.4.0.in_layers.0.weight": "unet_down_blocks.1.resnets.0.norm1.weight",
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"model.diffusion_model.input_blocks.4.0.in_layers.2.bias": "unet_down_blocks.1.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.4.0.in_layers.2.bias": "unet_down_blocks.1.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.4.0.in_layers.2.weight": "unet_down_blocks.1.resnets.0.conv1.weight",
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"model.diffusion_model.input_blocks.4.0.out_layers.0.bias": "unet_down_blocks.1.resnets.0.norm2.bias",
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"model.diffusion_model.input_blocks.4.0.out_layers.0.weight": "unet_down_blocks.1.resnets.0.norm2.weight",
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@@ -578,11 +578,11 @@
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"model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.weight": "unet_down_blocks.1.attentions.0.transformer_blocks.0.norm2.weight",
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"model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.bias": "unet_down_blocks.1.attentions.0.transformer_blocks.0.norm3.bias",
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"model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.1.attentions.0.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.input_blocks.5.0.emb_layers.1.bias": "unet_down_blocks.1.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.5.0.emb_layers.1.bias": "unet_down_blocks.1.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.5.0.emb_layers.1.weight": "unet_down_blocks.1.resnets.1.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.5.0.in_layers.0.bias": "unet_down_blocks.1.resnets.1.norm1.bias",
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"model.diffusion_model.input_blocks.5.0.in_layers.0.weight": "unet_down_blocks.1.resnets.1.norm1.weight",
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"model.diffusion_model.input_blocks.5.0.in_layers.2.bias": "unet_down_blocks.1.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.5.0.in_layers.2.bias": "unet_down_blocks.1.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.5.0.in_layers.2.weight": "unet_down_blocks.1.resnets.1.conv1.weight",
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"model.diffusion_model.input_blocks.5.0.out_layers.0.bias": "unet_down_blocks.1.resnets.1.norm2.bias",
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"model.diffusion_model.input_blocks.5.0.out_layers.0.weight": "unet_down_blocks.1.resnets.1.norm2.weight",
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@@ -616,11 +616,11 @@
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"model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.1.attentions.1.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.input_blocks.6.0.op.bias": "unet_down_blocks.1.downsamplers.0.conv.bias",
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"model.diffusion_model.input_blocks.6.0.op.weight": "unet_down_blocks.1.downsamplers.0.conv.weight",
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"model.diffusion_model.input_blocks.7.0.emb_layers.1.bias": "unet_down_blocks.2.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.7.0.emb_layers.1.bias": "unet_down_blocks.2.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.7.0.emb_layers.1.weight": "unet_down_blocks.2.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.7.0.in_layers.0.bias": "unet_down_blocks.2.resnets.0.norm1.bias",
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"model.diffusion_model.input_blocks.7.0.in_layers.0.weight": "unet_down_blocks.2.resnets.0.norm1.weight",
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"model.diffusion_model.input_blocks.7.0.in_layers.2.bias": "unet_down_blocks.2.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.7.0.in_layers.2.bias": "unet_down_blocks.2.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.7.0.in_layers.2.weight": "unet_down_blocks.2.resnets.0.conv1.weight",
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"model.diffusion_model.input_blocks.7.0.out_layers.0.bias": "unet_down_blocks.2.resnets.0.norm2.bias",
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"model.diffusion_model.input_blocks.7.0.out_layers.0.weight": "unet_down_blocks.2.resnets.0.norm2.weight",
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@@ -654,11 +654,11 @@
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.0.norm2.weight",
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.bias": "unet_down_blocks.2.attentions.0.transformer_blocks.0.norm3.bias",
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.input_blocks.8.0.emb_layers.1.bias": "unet_down_blocks.2.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.8.0.emb_layers.1.bias": "unet_down_blocks.2.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.8.0.emb_layers.1.weight": "unet_down_blocks.2.resnets.1.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.8.0.in_layers.0.bias": "unet_down_blocks.2.resnets.1.norm1.bias",
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"model.diffusion_model.input_blocks.8.0.in_layers.0.weight": "unet_down_blocks.2.resnets.1.norm1.weight",
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"model.diffusion_model.input_blocks.8.0.in_layers.2.bias": "unet_down_blocks.2.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.8.0.in_layers.2.bias": "unet_down_blocks.2.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.8.0.in_layers.2.weight": "unet_down_blocks.2.resnets.1.conv1.weight",
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"model.diffusion_model.input_blocks.8.0.out_layers.0.bias": "unet_down_blocks.2.resnets.1.norm2.bias",
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"model.diffusion_model.input_blocks.8.0.out_layers.0.weight": "unet_down_blocks.2.resnets.1.norm2.weight",
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@@ -692,11 +692,11 @@
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"model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.2.attentions.1.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.input_blocks.9.0.op.bias": "unet_down_blocks.2.downsamplers.0.conv.bias",
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"model.diffusion_model.input_blocks.9.0.op.weight": "unet_down_blocks.2.downsamplers.0.conv.weight",
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"model.diffusion_model.middle_block.0.emb_layers.1.bias": "unet_mid_block.resnets.0.conv1.bias",
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"model.diffusion_model.middle_block.0.emb_layers.1.weight": "unet_down_blocks.3.resnets.1.time_emb_proj.weight",
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"model.diffusion_model.middle_block.0.emb_layers.1.bias": "unet_mid_block.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.middle_block.0.emb_layers.1.weight": "unet_mid_block.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.middle_block.0.in_layers.0.bias": "unet_mid_block.resnets.0.norm1.bias",
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"model.diffusion_model.middle_block.0.in_layers.0.weight": "unet_mid_block.resnets.0.norm1.weight",
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"model.diffusion_model.middle_block.0.in_layers.2.bias": "unet_mid_block.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.middle_block.0.in_layers.2.bias": "unet_mid_block.resnets.0.conv1.bias",
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"model.diffusion_model.middle_block.0.in_layers.2.weight": "unet_mid_block.resnets.0.conv1.weight",
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"model.diffusion_model.middle_block.0.out_layers.0.bias": "unet_mid_block.resnets.0.norm2.bias",
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"model.diffusion_model.middle_block.0.out_layers.0.weight": "unet_mid_block.resnets.0.norm2.weight",
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@@ -728,11 +728,11 @@
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"model.diffusion_model.middle_block.1.transformer_blocks.0.norm2.weight": "unet_mid_block.attentions.0.transformer_blocks.0.norm2.weight",
|
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"model.diffusion_model.middle_block.1.transformer_blocks.0.norm3.bias": "unet_mid_block.attentions.0.transformer_blocks.0.norm3.bias",
|
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"model.diffusion_model.middle_block.1.transformer_blocks.0.norm3.weight": "unet_mid_block.attentions.0.transformer_blocks.0.norm3.weight",
|
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"model.diffusion_model.middle_block.2.emb_layers.1.bias": "unet_mid_block.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.middle_block.2.emb_layers.1.weight": "unet_up_blocks.0.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.middle_block.2.emb_layers.1.bias": "unet_mid_block.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.middle_block.2.emb_layers.1.weight": "unet_mid_block.resnets.1.time_emb_proj.weight",
|
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"model.diffusion_model.middle_block.2.in_layers.0.bias": "unet_mid_block.resnets.1.norm1.bias",
|
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"model.diffusion_model.middle_block.2.in_layers.0.weight": "unet_mid_block.resnets.1.norm1.weight",
|
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"model.diffusion_model.middle_block.2.in_layers.2.bias": "unet_mid_block.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.middle_block.2.in_layers.2.bias": "unet_mid_block.resnets.1.conv1.bias",
|
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"model.diffusion_model.middle_block.2.in_layers.2.weight": "unet_mid_block.resnets.1.conv1.weight",
|
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"model.diffusion_model.middle_block.2.out_layers.0.bias": "unet_mid_block.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.middle_block.2.out_layers.0.weight": "unet_mid_block.resnets.1.norm2.weight",
|
||||
@@ -742,11 +742,11 @@
|
||||
"model.diffusion_model.out.0.weight": "unet_conv_norm_out.weight",
|
||||
"model.diffusion_model.out.2.bias": "unet_conv_out.bias",
|
||||
"model.diffusion_model.out.2.weight": "unet_conv_out.weight",
|
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"model.diffusion_model.output_blocks.0.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.0.conv1.bias",
|
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"model.diffusion_model.output_blocks.0.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.1.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.0.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.0.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.0.0.in_layers.0.bias": "unet_up_blocks.0.resnets.0.norm1.bias",
|
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"model.diffusion_model.output_blocks.0.0.in_layers.0.weight": "unet_up_blocks.0.resnets.0.norm1.weight",
|
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"model.diffusion_model.output_blocks.0.0.in_layers.2.bias": "unet_up_blocks.0.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.0.0.in_layers.2.bias": "unet_up_blocks.0.resnets.0.conv1.bias",
|
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"model.diffusion_model.output_blocks.0.0.in_layers.2.weight": "unet_up_blocks.0.resnets.0.conv1.weight",
|
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"model.diffusion_model.output_blocks.0.0.out_layers.0.bias": "unet_up_blocks.0.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.0.0.out_layers.0.weight": "unet_up_blocks.0.resnets.0.norm2.weight",
|
||||
@@ -754,11 +754,11 @@
|
||||
"model.diffusion_model.output_blocks.0.0.out_layers.3.weight": "unet_up_blocks.0.resnets.0.conv2.weight",
|
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"model.diffusion_model.output_blocks.0.0.skip_connection.bias": "unet_up_blocks.0.resnets.0.conv_shortcut.bias",
|
||||
"model.diffusion_model.output_blocks.0.0.skip_connection.weight": "unet_up_blocks.0.resnets.0.conv_shortcut.weight",
|
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"model.diffusion_model.output_blocks.1.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.1.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.2.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.1.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.1.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.1.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.1.0.in_layers.0.bias": "unet_up_blocks.0.resnets.1.norm1.bias",
|
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"model.diffusion_model.output_blocks.1.0.in_layers.0.weight": "unet_up_blocks.0.resnets.1.norm1.weight",
|
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"model.diffusion_model.output_blocks.1.0.in_layers.2.bias": "unet_up_blocks.0.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.1.0.in_layers.2.bias": "unet_up_blocks.0.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.1.0.in_layers.2.weight": "unet_up_blocks.0.resnets.1.conv1.weight",
|
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"model.diffusion_model.output_blocks.1.0.out_layers.0.bias": "unet_up_blocks.0.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.1.0.out_layers.0.weight": "unet_up_blocks.0.resnets.1.norm2.weight",
|
||||
@@ -766,11 +766,11 @@
|
||||
"model.diffusion_model.output_blocks.1.0.out_layers.3.weight": "unet_up_blocks.0.resnets.1.conv2.weight",
|
||||
"model.diffusion_model.output_blocks.1.0.skip_connection.bias": "unet_up_blocks.0.resnets.1.conv_shortcut.bias",
|
||||
"model.diffusion_model.output_blocks.1.0.skip_connection.weight": "unet_up_blocks.0.resnets.1.conv_shortcut.weight",
|
||||
"model.diffusion_model.output_blocks.10.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.10.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.0.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.10.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.10.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.1.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.10.0.in_layers.0.bias": "unet_up_blocks.3.resnets.1.norm1.bias",
|
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"model.diffusion_model.output_blocks.10.0.in_layers.0.weight": "unet_up_blocks.3.resnets.1.norm1.weight",
|
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"model.diffusion_model.output_blocks.10.0.in_layers.2.bias": "unet_up_blocks.3.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.10.0.in_layers.2.bias": "unet_up_blocks.3.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.10.0.in_layers.2.weight": "unet_up_blocks.3.resnets.1.conv1.weight",
|
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"model.diffusion_model.output_blocks.10.0.out_layers.0.bias": "unet_up_blocks.3.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.10.0.out_layers.0.weight": "unet_up_blocks.3.resnets.1.norm2.weight",
|
||||
@@ -804,11 +804,11 @@
|
||||
"model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.3.attentions.1.transformer_blocks.0.norm2.weight",
|
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"model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.3.attentions.1.transformer_blocks.0.norm3.bias",
|
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"model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.3.attentions.1.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.11.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.2.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.11.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.1.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.11.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.11.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.2.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.11.0.in_layers.0.bias": "unet_up_blocks.3.resnets.2.norm1.bias",
|
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"model.diffusion_model.output_blocks.11.0.in_layers.0.weight": "unet_up_blocks.3.resnets.2.norm1.weight",
|
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"model.diffusion_model.output_blocks.11.0.in_layers.2.bias": "unet_up_blocks.3.resnets.2.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.11.0.in_layers.2.bias": "unet_up_blocks.3.resnets.2.conv1.bias",
|
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"model.diffusion_model.output_blocks.11.0.in_layers.2.weight": "unet_up_blocks.3.resnets.2.conv1.weight",
|
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"model.diffusion_model.output_blocks.11.0.out_layers.0.bias": "unet_up_blocks.3.resnets.2.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.11.0.out_layers.0.weight": "unet_up_blocks.3.resnets.2.norm2.weight",
|
||||
@@ -842,11 +842,11 @@
|
||||
"model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.3.attentions.2.transformer_blocks.0.norm2.weight",
|
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"model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.3.attentions.2.transformer_blocks.0.norm3.bias",
|
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"model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.3.attentions.2.transformer_blocks.0.norm3.weight",
|
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"model.diffusion_model.output_blocks.2.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.2.conv1.bias",
|
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"model.diffusion_model.output_blocks.2.0.emb_layers.1.weight": "unet_mid_block.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.2.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.2.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.2.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.2.0.in_layers.0.bias": "unet_up_blocks.0.resnets.2.norm1.bias",
|
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"model.diffusion_model.output_blocks.2.0.in_layers.0.weight": "unet_up_blocks.0.resnets.2.norm1.weight",
|
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"model.diffusion_model.output_blocks.2.0.in_layers.2.bias": "unet_up_blocks.0.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.2.0.in_layers.2.bias": "unet_up_blocks.0.resnets.2.conv1.bias",
|
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"model.diffusion_model.output_blocks.2.0.in_layers.2.weight": "unet_up_blocks.0.resnets.2.conv1.weight",
|
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"model.diffusion_model.output_blocks.2.0.out_layers.0.bias": "unet_up_blocks.0.resnets.2.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.2.0.out_layers.0.weight": "unet_up_blocks.0.resnets.2.norm2.weight",
|
||||
@@ -856,11 +856,11 @@
|
||||
"model.diffusion_model.output_blocks.2.0.skip_connection.weight": "unet_up_blocks.0.resnets.2.conv_shortcut.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.conv.bias": "unet_up_blocks.0.upsamplers.0.conv.bias",
|
||||
"model.diffusion_model.output_blocks.2.1.conv.weight": "unet_up_blocks.0.upsamplers.0.conv.weight",
|
||||
"model.diffusion_model.output_blocks.3.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.3.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.3.0.emb_layers.1.weight": "unet_up_blocks.1.resnets.0.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.3.0.in_layers.0.bias": "unet_up_blocks.1.resnets.0.norm1.bias",
|
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"model.diffusion_model.output_blocks.3.0.in_layers.0.weight": "unet_up_blocks.1.resnets.0.norm1.weight",
|
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"model.diffusion_model.output_blocks.3.0.in_layers.2.bias": "unet_up_blocks.1.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.3.0.in_layers.2.bias": "unet_up_blocks.1.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.3.0.in_layers.2.weight": "unet_up_blocks.1.resnets.0.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.3.0.out_layers.0.bias": "unet_up_blocks.1.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.3.0.out_layers.0.weight": "unet_up_blocks.1.resnets.0.norm2.weight",
|
||||
@@ -894,11 +894,11 @@
|
||||
"model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.1.attentions.0.transformer_blocks.0.norm2.weight",
|
||||
"model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.1.attentions.0.transformer_blocks.0.norm3.bias",
|
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"model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.1.attentions.0.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.4.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.emb_layers.1.weight": "unet_up_blocks.1.resnets.1.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.4.0.in_layers.0.bias": "unet_up_blocks.1.resnets.1.norm1.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.in_layers.0.weight": "unet_up_blocks.1.resnets.1.norm1.weight",
|
||||
"model.diffusion_model.output_blocks.4.0.in_layers.2.bias": "unet_up_blocks.1.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.in_layers.2.bias": "unet_up_blocks.1.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.in_layers.2.weight": "unet_up_blocks.1.resnets.1.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.4.0.out_layers.0.bias": "unet_up_blocks.1.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.out_layers.0.weight": "unet_up_blocks.1.resnets.1.norm2.weight",
|
||||
@@ -932,11 +932,11 @@
|
||||
"model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.1.attentions.1.transformer_blocks.0.norm2.weight",
|
||||
"model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.1.attentions.1.transformer_blocks.0.norm3.bias",
|
||||
"model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.1.attentions.1.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.5.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.2.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.emb_layers.1.weight": "unet_up_blocks.1.resnets.2.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.5.0.in_layers.0.bias": "unet_up_blocks.1.resnets.2.norm1.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.in_layers.0.weight": "unet_up_blocks.1.resnets.2.norm1.weight",
|
||||
"model.diffusion_model.output_blocks.5.0.in_layers.2.bias": "unet_up_blocks.1.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.in_layers.2.bias": "unet_up_blocks.1.resnets.2.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.in_layers.2.weight": "unet_up_blocks.1.resnets.2.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.5.0.out_layers.0.bias": "unet_up_blocks.1.resnets.2.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.out_layers.0.weight": "unet_up_blocks.1.resnets.2.norm2.weight",
|
||||
@@ -972,11 +972,11 @@
|
||||
"model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.1.attentions.2.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.5.2.conv.bias": "unet_up_blocks.1.upsamplers.0.conv.bias",
|
||||
"model.diffusion_model.output_blocks.5.2.conv.weight": "unet_up_blocks.1.upsamplers.0.conv.weight",
|
||||
"model.diffusion_model.output_blocks.6.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.emb_layers.1.weight": "unet_up_blocks.2.resnets.0.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.6.0.in_layers.0.bias": "unet_up_blocks.2.resnets.0.norm1.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.in_layers.0.weight": "unet_up_blocks.2.resnets.0.norm1.weight",
|
||||
"model.diffusion_model.output_blocks.6.0.in_layers.2.bias": "unet_up_blocks.2.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.in_layers.2.bias": "unet_up_blocks.2.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.in_layers.2.weight": "unet_up_blocks.2.resnets.0.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.6.0.out_layers.0.bias": "unet_up_blocks.2.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.out_layers.0.weight": "unet_up_blocks.2.resnets.0.norm2.weight",
|
||||
@@ -1010,11 +1010,11 @@
|
||||
"model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.2.attentions.0.transformer_blocks.0.norm2.weight",
|
||||
"model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.2.attentions.0.transformer_blocks.0.norm3.bias",
|
||||
"model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.2.attentions.0.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.7.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.emb_layers.1.weight": "unet_up_blocks.2.resnets.1.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.7.0.in_layers.0.bias": "unet_up_blocks.2.resnets.1.norm1.bias",
|
||||
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|
||||
"model.diffusion_model.output_blocks.7.0.in_layers.2.bias": "unet_up_blocks.2.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.in_layers.2.bias": "unet_up_blocks.2.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.in_layers.2.weight": "unet_up_blocks.2.resnets.1.conv1.weight",
|
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|
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"model.diffusion_model.output_blocks.7.0.out_layers.0.weight": "unet_up_blocks.2.resnets.1.norm2.weight",
|
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@@ -1048,11 +1048,11 @@
|
||||
"model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.2.attentions.1.transformer_blocks.0.norm2.weight",
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"model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.2.attentions.1.transformer_blocks.0.norm3.bias",
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"model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.2.attentions.1.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.output_blocks.8.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.2.conv1.bias",
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"model.diffusion_model.output_blocks.8.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.2.time_emb_proj.bias",
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"model.diffusion_model.output_blocks.8.0.emb_layers.1.weight": "unet_up_blocks.2.resnets.2.time_emb_proj.weight",
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"model.diffusion_model.output_blocks.8.0.in_layers.2.bias": "unet_up_blocks.2.resnets.2.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.8.0.in_layers.2.bias": "unet_up_blocks.2.resnets.2.conv1.bias",
|
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|
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"model.diffusion_model.output_blocks.8.0.out_layers.0.weight": "unet_up_blocks.2.resnets.2.norm2.weight",
|
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@@ -1088,11 +1088,11 @@
|
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"model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.2.attentions.2.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.output_blocks.8.2.conv.bias": "unet_up_blocks.2.upsamplers.0.conv.bias",
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"model.diffusion_model.output_blocks.8.2.conv.weight": "unet_up_blocks.2.upsamplers.0.conv.weight",
|
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"model.diffusion_model.output_blocks.9.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.0.conv1.bias",
|
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"model.diffusion_model.output_blocks.9.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.2.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.9.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.9.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.output_blocks.9.0.in_layers.0.bias": "unet_up_blocks.3.resnets.0.norm1.bias",
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"model.diffusion_model.output_blocks.9.0.in_layers.0.weight": "unet_up_blocks.3.resnets.0.norm1.weight",
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"model.diffusion_model.output_blocks.9.0.in_layers.2.bias": "unet_up_blocks.3.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.9.0.in_layers.2.bias": "unet_up_blocks.3.resnets.0.conv1.bias",
|
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"model.diffusion_model.output_blocks.9.0.in_layers.2.weight": "unet_up_blocks.3.resnets.0.conv1.weight",
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"model.diffusion_model.output_blocks.9.0.out_layers.0.bias": "unet_up_blocks.3.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.9.0.out_layers.0.weight": "unet_up_blocks.3.resnets.0.norm2.weight",
|
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@@ -1129,7 +1129,7 @@
|
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"model.diffusion_model.time_embed.0.bias": "unet_time_embedding.linear_1.bias",
|
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"model.diffusion_model.time_embed.0.weight": "unet_time_embedding.linear_1.weight",
|
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"model.diffusion_model.time_embed.2.bias": "unet_time_embedding.linear_2.bias",
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"model.diffusion_model.time_embed.2.weight": "unet_mid_block.resnets.1.time_emb_proj.weight"
|
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"model.diffusion_model.time_embed.2.weight": "unet_time_embedding.linear_2.weight"
|
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},
|
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"ldm_diffusers_shape_map": {
|
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"first_stage_model.decoder.mid.attn_1.k.weight": [
|
||||
|
||||
@@ -484,11 +484,11 @@
|
||||
"first_stage_model.quant_conv.weight": "vae_quant_conv.weight",
|
||||
"model.diffusion_model.input_blocks.0.0.bias": "unet_conv_in.bias",
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"model.diffusion_model.input_blocks.0.0.weight": "unet_conv_in.weight",
|
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"model.diffusion_model.input_blocks.1.0.emb_layers.1.bias": "unet_down_blocks.0.resnets.0.conv1.bias",
|
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"model.diffusion_model.input_blocks.1.0.emb_layers.1.bias": "unet_down_blocks.0.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.input_blocks.1.0.emb_layers.1.weight": "unet_down_blocks.0.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.input_blocks.1.0.in_layers.0.bias": "unet_down_blocks.0.resnets.0.norm1.bias",
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"model.diffusion_model.input_blocks.1.0.in_layers.0.weight": "unet_down_blocks.0.resnets.0.norm1.weight",
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"model.diffusion_model.input_blocks.1.0.in_layers.2.bias": "unet_down_blocks.0.resnets.0.conv1.bias",
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"model.diffusion_model.input_blocks.1.0.in_layers.2.weight": "unet_down_blocks.0.resnets.0.conv1.weight",
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|
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"model.diffusion_model.input_blocks.1.0.out_layers.0.weight": "unet_down_blocks.0.resnets.0.norm2.weight",
|
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@@ -520,31 +520,31 @@
|
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"model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.weight": "unet_down_blocks.0.attentions.0.transformer_blocks.0.norm2.weight",
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"model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.bias": "unet_down_blocks.0.attentions.0.transformer_blocks.0.norm3.bias",
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"model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.0.attentions.0.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.input_blocks.10.0.emb_layers.1.bias": "unet_down_blocks.3.resnets.0.conv1.bias",
|
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"model.diffusion_model.input_blocks.10.0.emb_layers.1.weight": "unet_time_embedding.linear_2.weight",
|
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"model.diffusion_model.input_blocks.10.0.emb_layers.1.bias": "unet_down_blocks.3.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.input_blocks.10.0.emb_layers.1.weight": "unet_down_blocks.3.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.input_blocks.10.0.in_layers.0.bias": "unet_down_blocks.3.resnets.0.norm1.bias",
|
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|
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"model.diffusion_model.input_blocks.10.0.in_layers.2.bias": "unet_down_blocks.3.resnets.0.conv1.bias",
|
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"model.diffusion_model.input_blocks.10.0.out_layers.0.bias": "unet_down_blocks.3.resnets.0.norm2.bias",
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"model.diffusion_model.input_blocks.10.0.out_layers.3.bias": "unet_down_blocks.3.resnets.0.conv2.bias",
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"model.diffusion_model.input_blocks.10.0.out_layers.3.weight": "unet_down_blocks.3.resnets.0.conv2.weight",
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"model.diffusion_model.input_blocks.11.0.emb_layers.1.weight": "unet_down_blocks.3.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.input_blocks.11.0.emb_layers.1.bias": "unet_down_blocks.3.resnets.1.time_emb_proj.bias",
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"model.diffusion_model.input_blocks.11.0.out_layers.3.weight": "unet_down_blocks.3.resnets.1.conv2.weight",
|
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"model.diffusion_model.input_blocks.2.0.emb_layers.1.bias": "unet_down_blocks.0.resnets.1.conv1.bias",
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|
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"model.diffusion_model.input_blocks.2.0.in_layers.0.weight": "unet_down_blocks.0.resnets.1.norm1.weight",
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"model.diffusion_model.input_blocks.2.0.in_layers.2.bias": "unet_down_blocks.0.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.input_blocks.2.0.in_layers.2.bias": "unet_down_blocks.0.resnets.1.conv1.bias",
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"model.diffusion_model.input_blocks.2.0.in_layers.2.weight": "unet_down_blocks.0.resnets.1.conv1.weight",
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"model.diffusion_model.input_blocks.2.0.out_layers.0.bias": "unet_down_blocks.0.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.input_blocks.2.0.out_layers.0.weight": "unet_down_blocks.0.resnets.1.norm2.weight",
|
||||
@@ -578,11 +578,11 @@
|
||||
"model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.0.attentions.1.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.input_blocks.3.0.op.bias": "unet_down_blocks.0.downsamplers.0.conv.bias",
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"model.diffusion_model.input_blocks.3.0.op.weight": "unet_down_blocks.0.downsamplers.0.conv.weight",
|
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"model.diffusion_model.input_blocks.4.0.emb_layers.1.bias": "unet_down_blocks.1.resnets.0.conv1.bias",
|
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"model.diffusion_model.input_blocks.4.0.emb_layers.1.bias": "unet_down_blocks.1.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.input_blocks.4.0.emb_layers.1.weight": "unet_down_blocks.1.resnets.0.time_emb_proj.weight",
|
||||
"model.diffusion_model.input_blocks.4.0.in_layers.0.bias": "unet_down_blocks.1.resnets.0.norm1.bias",
|
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"model.diffusion_model.input_blocks.4.0.in_layers.0.weight": "unet_down_blocks.1.resnets.0.norm1.weight",
|
||||
"model.diffusion_model.input_blocks.4.0.in_layers.2.bias": "unet_down_blocks.1.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.input_blocks.4.0.in_layers.2.bias": "unet_down_blocks.1.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.input_blocks.4.0.in_layers.2.weight": "unet_down_blocks.1.resnets.0.conv1.weight",
|
||||
"model.diffusion_model.input_blocks.4.0.out_layers.0.bias": "unet_down_blocks.1.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.input_blocks.4.0.out_layers.0.weight": "unet_down_blocks.1.resnets.0.norm2.weight",
|
||||
@@ -616,11 +616,11 @@
|
||||
"model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.weight": "unet_down_blocks.1.attentions.0.transformer_blocks.0.norm2.weight",
|
||||
"model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.bias": "unet_down_blocks.1.attentions.0.transformer_blocks.0.norm3.bias",
|
||||
"model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.1.attentions.0.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.input_blocks.5.0.emb_layers.1.bias": "unet_down_blocks.1.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.input_blocks.5.0.emb_layers.1.bias": "unet_down_blocks.1.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.input_blocks.5.0.emb_layers.1.weight": "unet_down_blocks.1.resnets.1.time_emb_proj.weight",
|
||||
"model.diffusion_model.input_blocks.5.0.in_layers.0.bias": "unet_down_blocks.1.resnets.1.norm1.bias",
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"model.diffusion_model.input_blocks.5.0.in_layers.0.weight": "unet_down_blocks.1.resnets.1.norm1.weight",
|
||||
"model.diffusion_model.input_blocks.5.0.in_layers.2.bias": "unet_down_blocks.1.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.input_blocks.5.0.in_layers.2.bias": "unet_down_blocks.1.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.input_blocks.5.0.in_layers.2.weight": "unet_down_blocks.1.resnets.1.conv1.weight",
|
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"model.diffusion_model.input_blocks.5.0.out_layers.0.bias": "unet_down_blocks.1.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.input_blocks.5.0.out_layers.0.weight": "unet_down_blocks.1.resnets.1.norm2.weight",
|
||||
@@ -654,11 +654,11 @@
|
||||
"model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.1.attentions.1.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.input_blocks.6.0.op.bias": "unet_down_blocks.1.downsamplers.0.conv.bias",
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"model.diffusion_model.input_blocks.6.0.op.weight": "unet_down_blocks.1.downsamplers.0.conv.weight",
|
||||
"model.diffusion_model.input_blocks.7.0.emb_layers.1.bias": "unet_down_blocks.2.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.input_blocks.7.0.emb_layers.1.bias": "unet_down_blocks.2.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.input_blocks.7.0.emb_layers.1.weight": "unet_down_blocks.2.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.input_blocks.7.0.in_layers.0.bias": "unet_down_blocks.2.resnets.0.norm1.bias",
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|
||||
"model.diffusion_model.input_blocks.7.0.in_layers.2.bias": "unet_down_blocks.2.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.input_blocks.7.0.in_layers.2.bias": "unet_down_blocks.2.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.input_blocks.7.0.in_layers.2.weight": "unet_down_blocks.2.resnets.0.conv1.weight",
|
||||
"model.diffusion_model.input_blocks.7.0.out_layers.0.bias": "unet_down_blocks.2.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.input_blocks.7.0.out_layers.0.weight": "unet_down_blocks.2.resnets.0.norm2.weight",
|
||||
@@ -692,11 +692,11 @@
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.0.norm2.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.bias": "unet_down_blocks.2.attentions.0.transformer_blocks.0.norm3.bias",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.input_blocks.8.0.emb_layers.1.bias": "unet_down_blocks.2.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.input_blocks.8.0.emb_layers.1.bias": "unet_down_blocks.2.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.input_blocks.8.0.emb_layers.1.weight": "unet_down_blocks.2.resnets.1.time_emb_proj.weight",
|
||||
"model.diffusion_model.input_blocks.8.0.in_layers.0.bias": "unet_down_blocks.2.resnets.1.norm1.bias",
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"model.diffusion_model.input_blocks.8.0.in_layers.0.weight": "unet_down_blocks.2.resnets.1.norm1.weight",
|
||||
"model.diffusion_model.input_blocks.8.0.in_layers.2.bias": "unet_down_blocks.2.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.input_blocks.8.0.in_layers.2.bias": "unet_down_blocks.2.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.input_blocks.8.0.in_layers.2.weight": "unet_down_blocks.2.resnets.1.conv1.weight",
|
||||
"model.diffusion_model.input_blocks.8.0.out_layers.0.bias": "unet_down_blocks.2.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.input_blocks.8.0.out_layers.0.weight": "unet_down_blocks.2.resnets.1.norm2.weight",
|
||||
@@ -730,11 +730,11 @@
|
||||
"model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm3.weight": "unet_down_blocks.2.attentions.1.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.input_blocks.9.0.op.bias": "unet_down_blocks.2.downsamplers.0.conv.bias",
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||||
"model.diffusion_model.input_blocks.9.0.op.weight": "unet_down_blocks.2.downsamplers.0.conv.weight",
|
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"model.diffusion_model.middle_block.0.emb_layers.1.bias": "unet_mid_block.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.middle_block.0.emb_layers.1.weight": "unet_down_blocks.3.resnets.1.time_emb_proj.weight",
|
||||
"model.diffusion_model.middle_block.0.emb_layers.1.bias": "unet_mid_block.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.middle_block.0.emb_layers.1.weight": "unet_mid_block.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.middle_block.0.in_layers.0.bias": "unet_mid_block.resnets.0.norm1.bias",
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"model.diffusion_model.middle_block.0.in_layers.2.bias": "unet_mid_block.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.middle_block.0.in_layers.2.bias": "unet_mid_block.resnets.0.conv1.bias",
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"model.diffusion_model.middle_block.0.in_layers.2.weight": "unet_mid_block.resnets.0.conv1.weight",
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|
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"model.diffusion_model.middle_block.0.out_layers.0.weight": "unet_mid_block.resnets.0.norm2.weight",
|
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@@ -766,11 +766,11 @@
|
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"model.diffusion_model.middle_block.1.transformer_blocks.0.norm2.weight": "unet_mid_block.attentions.0.transformer_blocks.0.norm2.weight",
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"model.diffusion_model.middle_block.1.transformer_blocks.0.norm3.bias": "unet_mid_block.attentions.0.transformer_blocks.0.norm3.bias",
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"model.diffusion_model.middle_block.1.transformer_blocks.0.norm3.weight": "unet_mid_block.attentions.0.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.middle_block.2.emb_layers.1.bias": "unet_mid_block.resnets.1.conv1.bias",
|
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"model.diffusion_model.middle_block.2.emb_layers.1.weight": "unet_up_blocks.0.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.middle_block.2.emb_layers.1.bias": "unet_mid_block.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.middle_block.2.emb_layers.1.weight": "unet_mid_block.resnets.1.time_emb_proj.weight",
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"model.diffusion_model.middle_block.2.in_layers.0.bias": "unet_mid_block.resnets.1.norm1.bias",
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"model.diffusion_model.middle_block.2.in_layers.0.weight": "unet_mid_block.resnets.1.norm1.weight",
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"model.diffusion_model.middle_block.2.in_layers.2.bias": "unet_mid_block.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.middle_block.2.in_layers.2.bias": "unet_mid_block.resnets.1.conv1.bias",
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"model.diffusion_model.middle_block.2.in_layers.2.weight": "unet_mid_block.resnets.1.conv1.weight",
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|
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"model.diffusion_model.middle_block.2.out_layers.0.weight": "unet_mid_block.resnets.1.norm2.weight",
|
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@@ -780,11 +780,11 @@
|
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"model.diffusion_model.out.0.weight": "unet_conv_norm_out.weight",
|
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"model.diffusion_model.out.2.bias": "unet_conv_out.bias",
|
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"model.diffusion_model.out.2.weight": "unet_conv_out.weight",
|
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"model.diffusion_model.output_blocks.0.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.0.conv1.bias",
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"model.diffusion_model.output_blocks.0.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.0.time_emb_proj.bias",
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"model.diffusion_model.output_blocks.0.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.output_blocks.0.0.in_layers.0.bias": "unet_up_blocks.0.resnets.0.norm1.bias",
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"model.diffusion_model.output_blocks.0.0.in_layers.0.weight": "unet_up_blocks.0.resnets.0.norm1.weight",
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"model.diffusion_model.output_blocks.0.0.in_layers.2.bias": "unet_up_blocks.0.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.0.0.in_layers.2.bias": "unet_up_blocks.0.resnets.0.conv1.bias",
|
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"model.diffusion_model.output_blocks.0.0.in_layers.2.weight": "unet_up_blocks.0.resnets.0.conv1.weight",
|
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"model.diffusion_model.output_blocks.0.0.out_layers.0.bias": "unet_up_blocks.0.resnets.0.norm2.bias",
|
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"model.diffusion_model.output_blocks.0.0.out_layers.0.weight": "unet_up_blocks.0.resnets.0.norm2.weight",
|
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@@ -792,11 +792,11 @@
|
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"model.diffusion_model.output_blocks.0.0.out_layers.3.weight": "unet_up_blocks.0.resnets.0.conv2.weight",
|
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"model.diffusion_model.output_blocks.0.0.skip_connection.bias": "unet_up_blocks.0.resnets.0.conv_shortcut.bias",
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"model.diffusion_model.output_blocks.0.0.skip_connection.weight": "unet_up_blocks.0.resnets.0.conv_shortcut.weight",
|
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"model.diffusion_model.output_blocks.1.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.1.conv1.bias",
|
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"model.diffusion_model.output_blocks.1.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.2.time_emb_proj.weight",
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"model.diffusion_model.output_blocks.1.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.1.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.1.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.1.0.in_layers.0.bias": "unet_up_blocks.0.resnets.1.norm1.bias",
|
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"model.diffusion_model.output_blocks.1.0.in_layers.0.weight": "unet_up_blocks.0.resnets.1.norm1.weight",
|
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"model.diffusion_model.output_blocks.1.0.in_layers.2.bias": "unet_up_blocks.0.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.1.0.in_layers.2.bias": "unet_up_blocks.0.resnets.1.conv1.bias",
|
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"model.diffusion_model.output_blocks.1.0.in_layers.2.weight": "unet_up_blocks.0.resnets.1.conv1.weight",
|
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"model.diffusion_model.output_blocks.1.0.out_layers.0.bias": "unet_up_blocks.0.resnets.1.norm2.bias",
|
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"model.diffusion_model.output_blocks.1.0.out_layers.0.weight": "unet_up_blocks.0.resnets.1.norm2.weight",
|
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@@ -804,11 +804,11 @@
|
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"model.diffusion_model.output_blocks.1.0.out_layers.3.weight": "unet_up_blocks.0.resnets.1.conv2.weight",
|
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"model.diffusion_model.output_blocks.1.0.skip_connection.bias": "unet_up_blocks.0.resnets.1.conv_shortcut.bias",
|
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"model.diffusion_model.output_blocks.1.0.skip_connection.weight": "unet_up_blocks.0.resnets.1.conv_shortcut.weight",
|
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"model.diffusion_model.output_blocks.10.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.1.conv1.bias",
|
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"model.diffusion_model.output_blocks.10.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.10.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.1.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.10.0.in_layers.0.bias": "unet_up_blocks.3.resnets.1.norm1.bias",
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"model.diffusion_model.output_blocks.10.0.in_layers.0.weight": "unet_up_blocks.3.resnets.1.norm1.weight",
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"model.diffusion_model.output_blocks.10.0.in_layers.2.bias": "unet_up_blocks.3.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.10.0.in_layers.2.bias": "unet_up_blocks.3.resnets.1.conv1.bias",
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"model.diffusion_model.output_blocks.10.0.in_layers.2.weight": "unet_up_blocks.3.resnets.1.conv1.weight",
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"model.diffusion_model.output_blocks.10.0.out_layers.0.bias": "unet_up_blocks.3.resnets.1.norm2.bias",
|
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"model.diffusion_model.output_blocks.10.0.out_layers.0.weight": "unet_up_blocks.3.resnets.1.norm2.weight",
|
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@@ -842,11 +842,11 @@
|
||||
"model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.3.attentions.1.transformer_blocks.0.norm2.weight",
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"model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.3.attentions.1.transformer_blocks.0.norm3.bias",
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"model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.3.attentions.1.transformer_blocks.0.norm3.weight",
|
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"model.diffusion_model.output_blocks.11.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.2.conv1.bias",
|
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"model.diffusion_model.output_blocks.11.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.2.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.11.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.2.time_emb_proj.weight",
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"model.diffusion_model.output_blocks.11.0.in_layers.0.bias": "unet_up_blocks.3.resnets.2.norm1.bias",
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"model.diffusion_model.output_blocks.11.0.in_layers.2.bias": "unet_up_blocks.3.resnets.2.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.11.0.in_layers.2.bias": "unet_up_blocks.3.resnets.2.conv1.bias",
|
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"model.diffusion_model.output_blocks.11.0.in_layers.2.weight": "unet_up_blocks.3.resnets.2.conv1.weight",
|
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"model.diffusion_model.output_blocks.11.0.out_layers.0.bias": "unet_up_blocks.3.resnets.2.norm2.bias",
|
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"model.diffusion_model.output_blocks.11.0.out_layers.0.weight": "unet_up_blocks.3.resnets.2.norm2.weight",
|
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@@ -880,11 +880,11 @@
|
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"model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.3.attentions.2.transformer_blocks.0.norm2.weight",
|
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"model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.3.attentions.2.transformer_blocks.0.norm3.bias",
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"model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.3.attentions.2.transformer_blocks.0.norm3.weight",
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"model.diffusion_model.output_blocks.2.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.2.conv1.bias",
|
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"model.diffusion_model.output_blocks.2.0.emb_layers.1.weight": "unet_mid_block.resnets.0.time_emb_proj.weight",
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"model.diffusion_model.output_blocks.2.0.emb_layers.1.bias": "unet_up_blocks.0.resnets.2.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.2.0.emb_layers.1.weight": "unet_up_blocks.0.resnets.2.time_emb_proj.weight",
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"model.diffusion_model.output_blocks.2.0.in_layers.0.bias": "unet_up_blocks.0.resnets.2.norm1.bias",
|
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"model.diffusion_model.output_blocks.2.0.in_layers.2.bias": "unet_up_blocks.0.resnets.2.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.2.0.in_layers.2.bias": "unet_up_blocks.0.resnets.2.conv1.bias",
|
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"model.diffusion_model.output_blocks.2.0.in_layers.2.weight": "unet_up_blocks.0.resnets.2.conv1.weight",
|
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"model.diffusion_model.output_blocks.2.0.out_layers.0.bias": "unet_up_blocks.0.resnets.2.norm2.bias",
|
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"model.diffusion_model.output_blocks.2.0.out_layers.0.weight": "unet_up_blocks.0.resnets.2.norm2.weight",
|
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@@ -894,11 +894,11 @@
|
||||
"model.diffusion_model.output_blocks.2.0.skip_connection.weight": "unet_up_blocks.0.resnets.2.conv_shortcut.weight",
|
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"model.diffusion_model.output_blocks.2.1.conv.bias": "unet_up_blocks.0.upsamplers.0.conv.bias",
|
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"model.diffusion_model.output_blocks.2.1.conv.weight": "unet_up_blocks.0.upsamplers.0.conv.weight",
|
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"model.diffusion_model.output_blocks.3.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.0.conv1.bias",
|
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"model.diffusion_model.output_blocks.3.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.3.0.emb_layers.1.weight": "unet_up_blocks.1.resnets.0.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.3.0.in_layers.0.bias": "unet_up_blocks.1.resnets.0.norm1.bias",
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"model.diffusion_model.output_blocks.3.0.in_layers.0.weight": "unet_up_blocks.1.resnets.0.norm1.weight",
|
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"model.diffusion_model.output_blocks.3.0.in_layers.2.bias": "unet_up_blocks.1.resnets.0.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.3.0.in_layers.2.bias": "unet_up_blocks.1.resnets.0.conv1.bias",
|
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"model.diffusion_model.output_blocks.3.0.in_layers.2.weight": "unet_up_blocks.1.resnets.0.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.3.0.out_layers.0.bias": "unet_up_blocks.1.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.3.0.out_layers.0.weight": "unet_up_blocks.1.resnets.0.norm2.weight",
|
||||
@@ -932,11 +932,11 @@
|
||||
"model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.1.attentions.0.transformer_blocks.0.norm2.weight",
|
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"model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.1.attentions.0.transformer_blocks.0.norm3.bias",
|
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"model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.1.attentions.0.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.4.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.1.conv1.bias",
|
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"model.diffusion_model.output_blocks.4.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.emb_layers.1.weight": "unet_up_blocks.1.resnets.1.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.4.0.in_layers.0.bias": "unet_up_blocks.1.resnets.1.norm1.bias",
|
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"model.diffusion_model.output_blocks.4.0.in_layers.0.weight": "unet_up_blocks.1.resnets.1.norm1.weight",
|
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"model.diffusion_model.output_blocks.4.0.in_layers.2.bias": "unet_up_blocks.1.resnets.1.time_emb_proj.bias",
|
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"model.diffusion_model.output_blocks.4.0.in_layers.2.bias": "unet_up_blocks.1.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.in_layers.2.weight": "unet_up_blocks.1.resnets.1.conv1.weight",
|
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"model.diffusion_model.output_blocks.4.0.out_layers.0.bias": "unet_up_blocks.1.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.4.0.out_layers.0.weight": "unet_up_blocks.1.resnets.1.norm2.weight",
|
||||
@@ -970,11 +970,11 @@
|
||||
"model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.1.attentions.1.transformer_blocks.0.norm2.weight",
|
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"model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.1.attentions.1.transformer_blocks.0.norm3.bias",
|
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"model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.1.attentions.1.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.5.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.2.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.emb_layers.1.bias": "unet_up_blocks.1.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.emb_layers.1.weight": "unet_up_blocks.1.resnets.2.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.5.0.in_layers.0.bias": "unet_up_blocks.1.resnets.2.norm1.bias",
|
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"model.diffusion_model.output_blocks.5.0.in_layers.0.weight": "unet_up_blocks.1.resnets.2.norm1.weight",
|
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"model.diffusion_model.output_blocks.5.0.in_layers.2.bias": "unet_up_blocks.1.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.in_layers.2.bias": "unet_up_blocks.1.resnets.2.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.in_layers.2.weight": "unet_up_blocks.1.resnets.2.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.5.0.out_layers.0.bias": "unet_up_blocks.1.resnets.2.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.5.0.out_layers.0.weight": "unet_up_blocks.1.resnets.2.norm2.weight",
|
||||
@@ -1010,11 +1010,11 @@
|
||||
"model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.1.attentions.2.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.5.2.conv.bias": "unet_up_blocks.1.upsamplers.0.conv.bias",
|
||||
"model.diffusion_model.output_blocks.5.2.conv.weight": "unet_up_blocks.1.upsamplers.0.conv.weight",
|
||||
"model.diffusion_model.output_blocks.6.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.emb_layers.1.weight": "unet_up_blocks.2.resnets.0.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.6.0.in_layers.0.bias": "unet_up_blocks.2.resnets.0.norm1.bias",
|
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"model.diffusion_model.output_blocks.6.0.in_layers.0.weight": "unet_up_blocks.2.resnets.0.norm1.weight",
|
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"model.diffusion_model.output_blocks.6.0.in_layers.2.bias": "unet_up_blocks.2.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.in_layers.2.bias": "unet_up_blocks.2.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.in_layers.2.weight": "unet_up_blocks.2.resnets.0.conv1.weight",
|
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"model.diffusion_model.output_blocks.6.0.out_layers.0.bias": "unet_up_blocks.2.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.6.0.out_layers.0.weight": "unet_up_blocks.2.resnets.0.norm2.weight",
|
||||
@@ -1048,11 +1048,11 @@
|
||||
"model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.2.attentions.0.transformer_blocks.0.norm2.weight",
|
||||
"model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.2.attentions.0.transformer_blocks.0.norm3.bias",
|
||||
"model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.2.attentions.0.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.7.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.emb_layers.1.weight": "unet_up_blocks.2.resnets.1.time_emb_proj.weight",
|
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"model.diffusion_model.output_blocks.7.0.in_layers.0.bias": "unet_up_blocks.2.resnets.1.norm1.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.in_layers.0.weight": "unet_up_blocks.2.resnets.1.norm1.weight",
|
||||
"model.diffusion_model.output_blocks.7.0.in_layers.2.bias": "unet_up_blocks.2.resnets.1.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.in_layers.2.bias": "unet_up_blocks.2.resnets.1.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.in_layers.2.weight": "unet_up_blocks.2.resnets.1.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.7.0.out_layers.0.bias": "unet_up_blocks.2.resnets.1.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.7.0.out_layers.0.weight": "unet_up_blocks.2.resnets.1.norm2.weight",
|
||||
@@ -1086,11 +1086,11 @@
|
||||
"model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm2.weight": "unet_up_blocks.2.attentions.1.transformer_blocks.0.norm2.weight",
|
||||
"model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3.bias": "unet_up_blocks.2.attentions.1.transformer_blocks.0.norm3.bias",
|
||||
"model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.2.attentions.1.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.8.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.2.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.8.0.emb_layers.1.bias": "unet_up_blocks.2.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.8.0.emb_layers.1.weight": "unet_up_blocks.2.resnets.2.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.8.0.in_layers.0.bias": "unet_up_blocks.2.resnets.2.norm1.bias",
|
||||
"model.diffusion_model.output_blocks.8.0.in_layers.0.weight": "unet_up_blocks.2.resnets.2.norm1.weight",
|
||||
"model.diffusion_model.output_blocks.8.0.in_layers.2.bias": "unet_up_blocks.2.resnets.2.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.8.0.in_layers.2.bias": "unet_up_blocks.2.resnets.2.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.8.0.in_layers.2.weight": "unet_up_blocks.2.resnets.2.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.8.0.out_layers.0.bias": "unet_up_blocks.2.resnets.2.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.8.0.out_layers.0.weight": "unet_up_blocks.2.resnets.2.norm2.weight",
|
||||
@@ -1126,11 +1126,11 @@
|
||||
"model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm3.weight": "unet_up_blocks.2.attentions.2.transformer_blocks.0.norm3.weight",
|
||||
"model.diffusion_model.output_blocks.8.2.conv.bias": "unet_up_blocks.2.upsamplers.0.conv.bias",
|
||||
"model.diffusion_model.output_blocks.8.2.conv.weight": "unet_up_blocks.2.upsamplers.0.conv.weight",
|
||||
"model.diffusion_model.output_blocks.9.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.9.0.emb_layers.1.bias": "unet_up_blocks.3.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.9.0.emb_layers.1.weight": "unet_up_blocks.3.resnets.0.time_emb_proj.weight",
|
||||
"model.diffusion_model.output_blocks.9.0.in_layers.0.bias": "unet_up_blocks.3.resnets.0.norm1.bias",
|
||||
"model.diffusion_model.output_blocks.9.0.in_layers.0.weight": "unet_up_blocks.3.resnets.0.norm1.weight",
|
||||
"model.diffusion_model.output_blocks.9.0.in_layers.2.bias": "unet_up_blocks.3.resnets.0.time_emb_proj.bias",
|
||||
"model.diffusion_model.output_blocks.9.0.in_layers.2.bias": "unet_up_blocks.3.resnets.0.conv1.bias",
|
||||
"model.diffusion_model.output_blocks.9.0.in_layers.2.weight": "unet_up_blocks.3.resnets.0.conv1.weight",
|
||||
"model.diffusion_model.output_blocks.9.0.out_layers.0.bias": "unet_up_blocks.3.resnets.0.norm2.bias",
|
||||
"model.diffusion_model.output_blocks.9.0.out_layers.0.weight": "unet_up_blocks.3.resnets.0.norm2.weight",
|
||||
@@ -1167,7 +1167,7 @@
|
||||
"model.diffusion_model.time_embed.0.bias": "unet_time_embedding.linear_1.bias",
|
||||
"model.diffusion_model.time_embed.0.weight": "unet_time_embedding.linear_1.weight",
|
||||
"model.diffusion_model.time_embed.2.bias": "unet_time_embedding.linear_2.bias",
|
||||
"model.diffusion_model.time_embed.2.weight": "unet_mid_block.resnets.1.time_emb_proj.weight"
|
||||
"model.diffusion_model.time_embed.2.weight": "unet_time_embedding.linear_2.weight"
|
||||
},
|
||||
"ldm_diffusers_shape_map": {
|
||||
"first_stage_model.decoder.mid.attn_1.k.weight": [
|
||||
|
||||
@@ -58,7 +58,7 @@
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc1.weight": "te0_text_model.encoder.layers.11.mlp.fc1.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc2.bias": "te0_text_model.encoder.layers.11.mlp.fc2.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc2.weight": "te0_text_model.encoder.layers.11.mlp.fc2.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.k_proj.bias": "te0_text_model.encoder.layers.2.self_attn.k_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.k_proj.bias": "te0_text_model.encoder.layers.11.self_attn.k_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.k_proj.weight": "te0_text_model.encoder.layers.11.self_attn.k_proj.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.out_proj.bias": "te0_text_model.encoder.layers.11.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.out_proj.weight": "te0_text_model.encoder.layers.11.self_attn.out_proj.weight",
|
||||
@@ -74,7 +74,7 @@
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc1.weight": "te0_text_model.encoder.layers.2.mlp.fc1.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc2.bias": "te0_text_model.encoder.layers.2.mlp.fc2.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc2.weight": "te0_text_model.encoder.layers.2.mlp.fc2.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.k_proj.bias": "te0_text_model.encoder.layers.3.self_attn.k_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.k_proj.bias": "te0_text_model.encoder.layers.2.self_attn.k_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.k_proj.weight": "te0_text_model.encoder.layers.2.self_attn.k_proj.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.out_proj.bias": "te0_text_model.encoder.layers.2.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.out_proj.weight": "te0_text_model.encoder.layers.2.self_attn.out_proj.weight",
|
||||
@@ -90,7 +90,7 @@
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.3.mlp.fc1.weight": "te0_text_model.encoder.layers.3.mlp.fc1.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.3.mlp.fc2.bias": "te0_text_model.encoder.layers.3.mlp.fc2.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.3.mlp.fc2.weight": "te0_text_model.encoder.layers.3.mlp.fc2.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.k_proj.bias": "te0_text_model.encoder.layers.11.self_attn.k_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.k_proj.bias": "te0_text_model.encoder.layers.3.self_attn.k_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.k_proj.weight": "te0_text_model.encoder.layers.3.self_attn.k_proj.weight",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.out_proj.bias": "te0_text_model.encoder.layers.3.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.out_proj.weight": "te0_text_model.encoder.layers.3.self_attn.out_proj.weight",
|
||||
@@ -221,7 +221,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.1.mlp.c_proj.bias": "te1_text_model.encoder.layers.1.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.1.mlp.c_proj.weight": "te1_text_model.encoder.layers.1.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.10.attn.out_proj.bias": "te1_text_model.encoder.layers.10.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.10.attn.out_proj.weight": "te1_text_model.encoder.layers.2.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.10.attn.out_proj.weight": "te1_text_model.encoder.layers.10.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.10.ln_1.bias": "te1_text_model.encoder.layers.10.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.10.ln_1.weight": "te1_text_model.encoder.layers.10.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.10.ln_2.bias": "te1_text_model.encoder.layers.10.layer_norm2.bias",
|
||||
@@ -231,7 +231,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.10.mlp.c_proj.bias": "te1_text_model.encoder.layers.10.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.10.mlp.c_proj.weight": "te1_text_model.encoder.layers.10.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.11.attn.out_proj.bias": "te1_text_model.encoder.layers.11.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.11.attn.out_proj.weight": "te1_text_model.encoder.layers.3.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.11.attn.out_proj.weight": "te1_text_model.encoder.layers.11.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.11.ln_1.bias": "te1_text_model.encoder.layers.11.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.11.ln_1.weight": "te1_text_model.encoder.layers.11.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.11.ln_2.bias": "te1_text_model.encoder.layers.11.layer_norm2.bias",
|
||||
@@ -241,7 +241,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.11.mlp.c_proj.bias": "te1_text_model.encoder.layers.11.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.11.mlp.c_proj.weight": "te1_text_model.encoder.layers.11.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.12.attn.out_proj.bias": "te1_text_model.encoder.layers.12.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.12.attn.out_proj.weight": "te1_text_model.encoder.layers.4.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.12.attn.out_proj.weight": "te1_text_model.encoder.layers.12.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.12.ln_1.bias": "te1_text_model.encoder.layers.12.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.12.ln_1.weight": "te1_text_model.encoder.layers.12.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.12.ln_2.bias": "te1_text_model.encoder.layers.12.layer_norm2.bias",
|
||||
@@ -251,7 +251,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.12.mlp.c_proj.bias": "te1_text_model.encoder.layers.12.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.12.mlp.c_proj.weight": "te1_text_model.encoder.layers.12.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.13.attn.out_proj.bias": "te1_text_model.encoder.layers.13.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.13.attn.out_proj.weight": "te1_text_model.encoder.layers.5.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.13.attn.out_proj.weight": "te1_text_model.encoder.layers.13.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.13.ln_1.bias": "te1_text_model.encoder.layers.13.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.13.ln_1.weight": "te1_text_model.encoder.layers.13.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.13.ln_2.bias": "te1_text_model.encoder.layers.13.layer_norm2.bias",
|
||||
@@ -271,7 +271,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.14.mlp.c_proj.bias": "te1_text_model.encoder.layers.14.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.14.mlp.c_proj.weight": "te1_text_model.encoder.layers.14.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.15.attn.out_proj.bias": "te1_text_model.encoder.layers.15.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.15.attn.out_proj.weight": "te1_text_model.encoder.layers.6.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.15.attn.out_proj.weight": "te1_text_model.encoder.layers.15.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.15.ln_1.bias": "te1_text_model.encoder.layers.15.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.15.ln_1.weight": "te1_text_model.encoder.layers.15.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.15.ln_2.bias": "te1_text_model.encoder.layers.15.layer_norm2.bias",
|
||||
@@ -321,7 +321,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.19.mlp.c_proj.bias": "te1_text_model.encoder.layers.19.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.19.mlp.c_proj.weight": "te1_text_model.encoder.layers.19.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.2.attn.out_proj.bias": "te1_text_model.encoder.layers.2.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.2.attn.out_proj.weight": "te1_text_model.encoder.layers.7.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.2.attn.out_proj.weight": "te1_text_model.encoder.layers.2.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.2.ln_1.bias": "te1_text_model.encoder.layers.2.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.2.ln_1.weight": "te1_text_model.encoder.layers.2.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.2.ln_2.bias": "te1_text_model.encoder.layers.2.layer_norm2.bias",
|
||||
@@ -431,7 +431,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.29.mlp.c_proj.bias": "te1_text_model.encoder.layers.29.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.29.mlp.c_proj.weight": "te1_text_model.encoder.layers.29.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.3.attn.out_proj.bias": "te1_text_model.encoder.layers.3.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.3.attn.out_proj.weight": "te1_text_model.encoder.layers.8.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.3.attn.out_proj.weight": "te1_text_model.encoder.layers.3.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.3.ln_1.bias": "te1_text_model.encoder.layers.3.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.3.ln_1.weight": "te1_text_model.encoder.layers.3.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.3.ln_2.bias": "te1_text_model.encoder.layers.3.layer_norm2.bias",
|
||||
@@ -461,7 +461,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.31.mlp.c_proj.bias": "te1_text_model.encoder.layers.31.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.31.mlp.c_proj.weight": "te1_text_model.encoder.layers.31.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.4.attn.out_proj.bias": "te1_text_model.encoder.layers.4.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.4.attn.out_proj.weight": "te1_text_model.encoder.layers.9.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.4.attn.out_proj.weight": "te1_text_model.encoder.layers.4.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.4.ln_1.bias": "te1_text_model.encoder.layers.4.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.4.ln_1.weight": "te1_text_model.encoder.layers.4.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.4.ln_2.bias": "te1_text_model.encoder.layers.4.layer_norm2.bias",
|
||||
@@ -471,7 +471,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.4.mlp.c_proj.bias": "te1_text_model.encoder.layers.4.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.4.mlp.c_proj.weight": "te1_text_model.encoder.layers.4.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.5.attn.out_proj.bias": "te1_text_model.encoder.layers.5.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.5.attn.out_proj.weight": "te1_text_model.encoder.layers.10.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.5.attn.out_proj.weight": "te1_text_model.encoder.layers.5.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.5.ln_1.bias": "te1_text_model.encoder.layers.5.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.5.ln_1.weight": "te1_text_model.encoder.layers.5.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.5.ln_2.bias": "te1_text_model.encoder.layers.5.layer_norm2.bias",
|
||||
@@ -481,7 +481,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.5.mlp.c_proj.bias": "te1_text_model.encoder.layers.5.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.5.mlp.c_proj.weight": "te1_text_model.encoder.layers.5.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.6.attn.out_proj.bias": "te1_text_model.encoder.layers.6.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.6.attn.out_proj.weight": "te1_text_model.encoder.layers.11.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.6.attn.out_proj.weight": "te1_text_model.encoder.layers.6.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.6.ln_1.bias": "te1_text_model.encoder.layers.6.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.6.ln_1.weight": "te1_text_model.encoder.layers.6.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.6.ln_2.bias": "te1_text_model.encoder.layers.6.layer_norm2.bias",
|
||||
@@ -491,7 +491,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.6.mlp.c_proj.bias": "te1_text_model.encoder.layers.6.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.6.mlp.c_proj.weight": "te1_text_model.encoder.layers.6.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.7.attn.out_proj.bias": "te1_text_model.encoder.layers.7.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.7.attn.out_proj.weight": "te1_text_model.encoder.layers.12.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.7.attn.out_proj.weight": "te1_text_model.encoder.layers.7.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.7.ln_1.bias": "te1_text_model.encoder.layers.7.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.7.ln_1.weight": "te1_text_model.encoder.layers.7.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.7.ln_2.bias": "te1_text_model.encoder.layers.7.layer_norm2.bias",
|
||||
@@ -501,7 +501,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.7.mlp.c_proj.bias": "te1_text_model.encoder.layers.7.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.7.mlp.c_proj.weight": "te1_text_model.encoder.layers.7.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.8.attn.out_proj.bias": "te1_text_model.encoder.layers.8.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.8.attn.out_proj.weight": "te1_text_model.encoder.layers.13.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.8.attn.out_proj.weight": "te1_text_model.encoder.layers.8.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.8.ln_1.bias": "te1_text_model.encoder.layers.8.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.8.ln_1.weight": "te1_text_model.encoder.layers.8.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.8.ln_2.bias": "te1_text_model.encoder.layers.8.layer_norm2.bias",
|
||||
@@ -511,7 +511,7 @@
|
||||
"conditioner.embedders.1.model.transformer.resblocks.8.mlp.c_proj.bias": "te1_text_model.encoder.layers.8.mlp.fc2.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.8.mlp.c_proj.weight": "te1_text_model.encoder.layers.8.mlp.fc2.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.9.attn.out_proj.bias": "te1_text_model.encoder.layers.9.self_attn.out_proj.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.9.attn.out_proj.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.4.attn2.to_out.0.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.9.attn.out_proj.weight": "te1_text_model.encoder.layers.9.self_attn.out_proj.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.9.ln_1.bias": "te1_text_model.encoder.layers.9.layer_norm1.bias",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.9.ln_1.weight": "te1_text_model.encoder.layers.9.layer_norm1.weight",
|
||||
"conditioner.embedders.1.model.transformer.resblocks.9.ln_2.bias": "te1_text_model.encoder.layers.9.layer_norm2.bias",
|
||||
@@ -1013,7 +1013,7 @@
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn1.to_v.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.4.attn1.to_v.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn2.to_k.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.4.attn2.to_k.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn2.to_out.0.bias": "unet_down_blocks.2.attentions.0.transformer_blocks.4.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn2.to_out.0.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.5.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn2.to_out.0.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.4.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn2.to_q.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.4.attn2.to_q.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn2.to_v.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.4.attn2.to_v.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.4.ff.net.0.proj.bias": "unet_down_blocks.2.attentions.0.transformer_blocks.4.ff.net.0.proj.bias",
|
||||
@@ -1033,7 +1033,7 @@
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.5.attn1.to_v.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.5.attn1.to_v.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.5.attn2.to_k.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.5.attn2.to_k.weight",
|
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.5.attn2.to_out.0.bias": "unet_down_blocks.2.attentions.0.transformer_blocks.5.attn2.to_out.0.bias",
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|
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.5.attn2.to_out.0.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.5.attn2.to_out.0.weight",
|
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.5.attn2.to_q.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.5.attn2.to_q.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.5.attn2.to_v.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.5.attn2.to_v.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.5.ff.net.0.proj.bias": "unet_down_blocks.2.attentions.0.transformer_blocks.5.ff.net.0.proj.bias",
|
||||
@@ -1053,7 +1053,7 @@
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.6.attn1.to_v.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.6.attn1.to_v.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.6.attn2.to_k.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.6.attn2.to_k.weight",
|
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.6.attn2.to_out.0.bias": "unet_down_blocks.2.attentions.0.transformer_blocks.6.attn2.to_out.0.bias",
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.6.attn2.to_out.0.weight": "te1_text_model.encoder.layers.15.self_attn.out_proj.weight",
|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.6.attn2.to_out.0.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.6.attn2.to_out.0.weight",
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|
||||
"model.diffusion_model.input_blocks.7.1.transformer_blocks.6.attn2.to_v.weight": "unet_down_blocks.2.attentions.0.transformer_blocks.6.attn2.to_v.weight",
|
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"model.diffusion_model.input_blocks.7.1.transformer_blocks.6.ff.net.0.proj.bias": "unet_down_blocks.2.attentions.0.transformer_blocks.6.ff.net.0.proj.bias",
|
||||
@@ -1369,7 +1369,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight",
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"model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.bias",
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"model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.0.attn2.to_out.0.weight",
|
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"model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight",
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"model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight",
|
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"model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight",
|
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"model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.bias",
|
||||
@@ -1409,7 +1409,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.2.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.2.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.2.attn2.to_k.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.2.attn2.to_out.0.bias",
|
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"model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.8.attn2.to_out.0.weight",
|
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"model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.2.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.2.attn2.to_q.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.2.attn2.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.2.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.2.ff.net.0.proj.bias",
|
||||
@@ -1429,7 +1429,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.3.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.3.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.3.attn2.to_k.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.3.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.5.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.3.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.3.attn2.to_q.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.3.attn2.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.3.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.3.ff.net.0.proj.bias",
|
||||
@@ -1449,7 +1449,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.4.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.4.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.4.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.4.attn2.to_k.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.4.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.4.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.4.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.6.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.4.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.4.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.4.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.4.attn2.to_q.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.4.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.4.attn2.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.4.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.4.ff.net.0.proj.bias",
|
||||
@@ -1469,7 +1469,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.5.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.5.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.5.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.5.attn2.to_k.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.5.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.5.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.5.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.4.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.5.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.5.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.5.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.5.attn2.to_q.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.5.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.5.attn2.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.5.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.5.ff.net.0.proj.bias",
|
||||
@@ -1489,7 +1489,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.6.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.6.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.6.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.6.attn2.to_k.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.6.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.6.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.6.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.7.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.6.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.6.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.6.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.6.attn2.to_q.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.6.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.6.attn2.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.6.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.6.ff.net.0.proj.bias",
|
||||
@@ -1509,7 +1509,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.7.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.7.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.7.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.7.attn2.to_k.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.7.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.7.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.7.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.9.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.7.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.7.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.7.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.7.attn2.to_q.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.7.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.7.attn2.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.7.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.7.ff.net.0.proj.bias",
|
||||
@@ -1529,7 +1529,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.8.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.8.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.8.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.8.attn2.to_k.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.8.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.8.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.8.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.8.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.8.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.8.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.8.attn2.to_q.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.8.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.8.attn2.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.8.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.8.ff.net.0.proj.bias",
|
||||
@@ -1549,7 +1549,7 @@
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.9.attn1.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.9.attn1.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.9.attn2.to_k.weight": "unet_mid_block.attentions.0.transformer_blocks.9.attn2.to_k.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.9.attn2.to_out.0.bias": "unet_mid_block.attentions.0.transformer_blocks.9.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.9.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.2.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.9.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.9.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.9.attn2.to_q.weight": "unet_mid_block.attentions.0.transformer_blocks.9.attn2.to_q.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.9.attn2.to_v.weight": "unet_mid_block.attentions.0.transformer_blocks.9.attn2.to_v.weight",
|
||||
"model.diffusion_model.middle_block.1.transformer_blocks.9.ff.net.0.proj.bias": "unet_mid_block.attentions.0.transformer_blocks.9.ff.net.0.proj.bias",
|
||||
@@ -2037,7 +2037,7 @@
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn1.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.0.attn1.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn2.to_k.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.0.attn2.to_k.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn2.to_out.0.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.0.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.3.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.0.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn2.to_q.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.0.attn2.to_q.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn2.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.0.attn2.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.0.ff.net.0.proj.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.0.ff.net.0.proj.bias",
|
||||
@@ -2117,7 +2117,7 @@
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn1.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.4.attn1.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn2.to_k.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.4.attn2.to_k.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn2.to_out.0.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.4.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.5.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.4.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn2.to_q.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.4.attn2.to_q.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn2.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.4.attn2.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.4.ff.net.0.proj.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.4.ff.net.0.proj.bias",
|
||||
@@ -2137,7 +2137,7 @@
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn1.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.5.attn1.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn2.to_k.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.5.attn2.to_k.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn2.to_out.0.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.5.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.4.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.5.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn2.to_q.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.5.attn2.to_q.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn2.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.5.attn2.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.5.ff.net.0.proj.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.5.ff.net.0.proj.bias",
|
||||
@@ -2157,7 +2157,7 @@
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn1.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.6.attn1.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn2.to_k.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.6.attn2.to_k.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn2.to_out.0.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.6.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.6.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.6.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn2.to_q.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.6.attn2.to_q.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn2.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.6.attn2.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.6.ff.net.0.proj.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.6.ff.net.0.proj.bias",
|
||||
@@ -2177,7 +2177,7 @@
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn1.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.7.attn1.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_k.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.7.attn2.to_k.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_out.0.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.7.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.7.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.7.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_q.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.7.attn2.to_q.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.7.attn2.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.7.ff.net.0.proj.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.7.ff.net.0.proj.bias",
|
||||
@@ -2197,7 +2197,7 @@
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn1.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.8.attn1.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_k.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.8.attn2.to_k.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_out.0.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.8.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.8.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.8.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_q.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.8.attn2.to_q.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.8.attn2.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.8.ff.net.0.proj.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.8.ff.net.0.proj.bias",
|
||||
@@ -2217,7 +2217,7 @@
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn1.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.9.attn1.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn2.to_k.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.9.attn2.to_k.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn2.to_out.0.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.9.attn2.to_out.0.bias",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn2.to_out.0.weight": "unet_mid_block.attentions.0.transformer_blocks.9.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn2.to_out.0.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.9.attn2.to_out.0.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn2.to_q.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.9.attn2.to_q.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn2.to_v.weight": "unet_up_blocks.0.attentions.2.transformer_blocks.9.attn2.to_v.weight",
|
||||
"model.diffusion_model.output_blocks.2.1.transformer_blocks.9.ff.net.0.proj.bias": "unet_up_blocks.0.attentions.2.transformer_blocks.9.ff.net.0.proj.bias",
|
||||
|
||||
Reference in New Issue
Block a user