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Add a function to load a unet from a state dict.

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comfyanonymous 2023-11-27 17:32:07 -05:00
parent f30b992b18
commit c45d1b9b67
1 changed files with 10 additions and 4 deletions
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14
comfy/sd.py
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@ -481,20 +481,18 @@ def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, o
return (model_patcher, clip, vae, clipvision)
def load_unet(unet_path): #load unet in diffusers format
sd = comfy.utils.load_torch_file(unet_path)
def load_unet_state_dict(sd): #load unet in diffusers format
parameters = comfy.utils.calculate_parameters(sd)
unet_dtype = model_management.unet_dtype(model_params=parameters)
if "input_blocks.0.0.weight" in sd: #ldm
model_config = model_detection.model_config_from_unet(sd, "", unet_dtype)
if model_config is None:
raise RuntimeError("ERROR: Could not detect model type of: {}".format(unet_path))
return None
new_sd = sd
else: #diffusers
model_config = model_detection.model_config_from_diffusers_unet(sd, unet_dtype)
if model_config is None:
print("ERROR UNSUPPORTED UNET", unet_path)
return None
diffusers_keys = comfy.utils.unet_to_diffusers(model_config.unet_config)
@ -514,6 +512,14 @@ def load_unet(unet_path): #load unet in diffusers format
print("left over keys in unet:", left_over)
return comfy.model_patcher.ModelPatcher(model, load_device=model_management.get_torch_device(), offload_device=offload_device)
def load_unet(unet_path):
sd = comfy.utils.load_torch_file(unet_path)
model = load_unet_state_dict(sd)
if model is None:
print("ERROR UNSUPPORTED UNET", unet_path)
raise RuntimeError("ERROR: Could not detect model type of: {}".format(unet_path))
return model
def save_checkpoint(output_path, model, clip, vae, metadata=None):
model_management.load_models_gpu([model, clip.load_model()])
sd = model.model.state_dict_for_saving(clip.get_sd(), vae.get_sd())