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initial FlowRVS support (#12637)
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@@ -694,8 +694,9 @@ class VAE:
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self.latent_dim = 3
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self.latent_channels = 16
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self.output_channels = sd["encoder.conv1.weight"].shape[1]
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self.conv_out_channels = sd["decoder.head.2.weight"].shape[0]
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self.pad_channel_value = 1.0
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ddconfig = {"dim": dim, "z_dim": self.latent_channels, "dim_mult": [1, 2, 4, 4], "num_res_blocks": 2, "attn_scales": [], "temperal_downsample": [False, True, True], "image_channels": self.output_channels, "dropout": 0.0}
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ddconfig = {"dim": dim, "z_dim": self.latent_channels, "dim_mult": [1, 2, 4, 4], "num_res_blocks": 2, "attn_scales": [], "temperal_downsample": [False, True, True], "image_channels": self.output_channels, "conv_out_channels": self.conv_out_channels, "dropout": 0.0}
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self.first_stage_model = comfy.ldm.wan.vae.WanVAE(**ddconfig)
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self.working_dtypes = [torch.bfloat16, torch.float16, torch.float32]
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self.memory_used_encode = lambda shape, dtype: (1500 if shape[2]<=4 else 6000) * shape[3] * shape[4] * model_management.dtype_size(dtype)
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