mirror of
https://github.com/lllyasviel/stable-diffusion-webui-forge.git
synced 2026-01-26 19:09:45 +00:00
88 lines
2.4 KiB
Python
88 lines
2.4 KiB
Python
import torch
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import safetensors.torch as sf
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from backend import utils
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class ForgeObjects:
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def __init__(self, unet, clip, vae, clipvision):
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self.unet = unet
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self.clip = clip
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self.vae = vae
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self.clipvision = clipvision
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def shallow_copy(self):
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return ForgeObjects(
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self.unet,
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self.clip,
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self.vae,
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self.clipvision
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)
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class ForgeDiffusionEngine:
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matched_guesses = []
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def __init__(self, estimated_config, huggingface_components):
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self.model_config = estimated_config
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self.is_inpaint = estimated_config.inpaint_model()
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self.forge_objects = None
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self.forge_objects_original = None
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self.forge_objects_after_applying_lora = None
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self.current_lora_hash = str([])
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self.fix_for_webui_backward_compatibility()
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def set_clip_skip(self, clip_skip):
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pass
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def get_first_stage_encoding(self, x):
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return x # legacy code, do not change
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def get_learned_conditioning(self, prompt: list[str]):
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pass
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def encode_first_stage(self, x):
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pass
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def decode_first_stage(self, x):
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pass
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def get_prompt_lengths_on_ui(self, prompt):
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return 0, 75
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def is_webui_legacy_model(self):
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return self.is_sd1 or self.is_sd2 or self.is_sdxl or self.is_sd3
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def fix_for_webui_backward_compatibility(self):
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self.tiling_enabled = False
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self.first_stage_model = None
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self.cond_stage_model = None
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self.use_distilled_cfg_scale = False
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self.is_sd1 = False
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self.is_sd2 = False
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self.is_sdxl = False
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self.is_sd3 = False
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return
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def save_unet(self, filename):
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sd = utils.get_state_dict_after_quant(self.forge_objects.unet.model.diffusion_model)
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sf.save_file(sd, filename)
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return filename
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def save_checkpoint(self, filename):
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sd = {}
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sd.update(
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utils.get_state_dict_after_quant(self.forge_objects.unet.model.diffusion_model, prefix='model.diffusion_model.')
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)
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sd.update(
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utils.get_state_dict_after_quant(self.forge_objects.clip.cond_stage_model, prefix='text_encoders.')
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)
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sd.update(
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utils.get_state_dict_after_quant(self.forge_objects.vae.first_stage_model, prefix='vae.')
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)
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sf.save_file(sd, filename)
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return filename
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