Fix loading SD1.5 diffusers checkpoint.
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@ -272,7 +272,8 @@ def load_diffusers(model_path, fp16=True, output_vae=True, output_clip=True, emb
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# magic
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v2 = diffusers_unet_conf["sample_size"] == 96
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v_pred = diffusers_scheduler_conf['prediction_type'] == 'v_prediction'
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if 'prediction_type' in diffusers_scheduler_conf:
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v_pred = diffusers_scheduler_conf['prediction_type'] == 'v_prediction'
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if v2:
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if v_pred:
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@ -290,6 +291,7 @@ def load_diffusers(model_path, fp16=True, output_vae=True, output_clip=True, emb
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scale_factor = model_config_params['scale_factor']
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vae_config = model_config_params['first_stage_config']
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vae_config['scale_factor'] = scale_factor
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model_config_params["unet_config"]["params"]["use_fp16"] = fp16
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unet_path = osp.join(model_path, "unet", "diffusion_pytorch_model.safetensors")
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vae_path = osp.join(model_path, "vae", "diffusion_pytorch_model.safetensors")
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4
nodes.py
4
nodes.py
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@ -231,7 +231,7 @@ class DiffusersLoader:
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RETURN_TYPES = ("MODEL", "CLIP", "VAE")
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FUNCTION = "load_checkpoint"
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CATEGORY = "loaders"
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CATEGORY = "advanced/loaders"
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def load_checkpoint(self, model_path, output_vae=True, output_clip=True):
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for search_path in folder_paths.get_folder_paths("diffusers"):
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@ -240,7 +240,7 @@ class DiffusersLoader:
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if model_path in paths:
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model_path = os.path.join(search_path, model_path)
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break
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search_paths = folder_paths.get_folder_paths("diffusers")
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return load_diffusers(model_path, fp16=model_management.should_use_fp16(), output_vae=output_vae, output_clip=output_clip, embedding_directory=folder_paths.get_folder_paths("embeddings"))
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