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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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make it possible to load SD1 checkpoints without CLIP
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parent
3e0f9a7543
commit
668d7e9b9a
@ -20,8 +20,9 @@ class DisableInitialization:
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```
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"""
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def __init__(self):
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def __init__(self, disable_clip=True):
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self.replaced = []
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self.disable_clip = disable_clip
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def replace(self, obj, field, func):
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original = getattr(obj, field, None)
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@ -75,6 +76,8 @@ class DisableInitialization:
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self.replace(torch.nn.init, 'kaiming_uniform_', do_nothing)
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self.replace(torch.nn.init, '_no_grad_normal_', do_nothing)
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self.replace(torch.nn.init, '_no_grad_uniform_', do_nothing)
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if self.disable_clip:
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self.create_model_and_transforms = self.replace(open_clip, 'create_model_and_transforms', create_model_and_transforms_without_pretrained)
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self.CLIPTextModel_from_pretrained = self.replace(ldm.modules.encoders.modules.CLIPTextModel, 'from_pretrained', CLIPTextModel_from_pretrained)
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self.transformers_modeling_utils_load_pretrained_model = self.replace(transformers.modeling_utils.PreTrainedModel, '_load_pretrained_model', transformers_modeling_utils_load_pretrained_model)
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@ -354,6 +354,9 @@ def repair_config(sd_config):
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sd_config.model.params.unet_config.params.use_fp16 = True
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sd1_clip_weight = 'cond_stage_model.transformer.text_model.embeddings.token_embedding.weight'
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sd2_clip_weight = 'cond_stage_model.model.transformer.resblocks.0.attn.in_proj_weight'
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def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_to_load_state_dict=None):
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from modules import lowvram, sd_hijack
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checkpoint_info = checkpoint_info or select_checkpoint()
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@ -374,6 +377,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_
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state_dict = get_checkpoint_state_dict(checkpoint_info, timer)
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checkpoint_config = sd_models_config.find_checkpoint_config(state_dict, checkpoint_info)
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clip_is_included_into_sd = sd1_clip_weight in state_dict or sd2_clip_weight in state_dict
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timer.record("find config")
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@ -386,7 +390,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_
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sd_model = None
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try:
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with sd_disable_initialization.DisableInitialization():
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with sd_disable_initialization.DisableInitialization(disable_clip=clip_is_included_into_sd):
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sd_model = instantiate_from_config(sd_config.model)
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except Exception as e:
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pass
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