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8fb9db5
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  1. convert_repo_to_safetensors_gr.py +7 -11
convert_repo_to_safetensors_gr.py CHANGED
@@ -269,7 +269,7 @@ def convert_openai_text_enc_state_dict(text_enc_dict):
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  return text_enc_dict
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- def convert_diffusers_to_safetensors(model_path, checkpoint_path, half = True, use_safetensors = True, progress=gr.Progress(track_tqdm=True)):
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  progress(0, desc="Start converting...")
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  # Path for safetensors
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  unet_path = osp.join(model_path, "unet", "diffusion_pytorch_model.safetensors")
@@ -329,12 +329,7 @@ def convert_diffusers_to_safetensors(model_path, checkpoint_path, half = True, u
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  if half:
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  state_dict = {k: v.half() for k, v in state_dict.items()}
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- if use_safetensors:
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- save_file(state_dict, checkpoint_path)
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- else:
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- state_dict = {"state_dict": state_dict}
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- torch.save(state_dict, checkpoint_path)
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-
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  progress(1, desc="Converted.")
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@@ -343,7 +338,7 @@ def download_repo(repo_id, dir_path, progress=gr.Progress(track_tqdm=True)):
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  try:
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  snapshot_download(repo_id=repo_id, local_dir=dir_path)
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  except Exception as e:
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- print(f"Error: Failed to download {repo_id}. ")
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  return
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@@ -366,7 +361,7 @@ def upload_safetensors_to_repo(filename, progress=gr.Progress(track_tqdm=True)):
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  return url
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- def convert_repo_to_safetensors(repo_id, progress=gr.Progress(track_tqdm=True)):
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  download_dir = f"{repo_id.split('/')[0]}_{repo_id.split('/')[-1]}"
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  output_filename = f"{repo_id.split('/')[0]}_{repo_id.split('/')[-1]}.safetensors"
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  download_repo(repo_id, download_dir)
@@ -374,7 +369,7 @@ def convert_repo_to_safetensors(repo_id, progress=gr.Progress(track_tqdm=True)):
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  return output_filename
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- def convert_repo_to_safetensors_multi(repo_id, files, is_upload, urls, progress=gr.Progress(track_tqdm=True)):
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  file = convert_repo_to_safetensors(repo_id)
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  if not urls: urls = []
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  url = ""
@@ -393,11 +388,12 @@ if __name__ == "__main__":
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  parser = argparse.ArgumentParser()
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  parser.add_argument("--repo_id", default=None, type=str, required=True, help="HF Repo ID of the model to convert.")
 
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  args = parser.parse_args()
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  assert args.repo_id is not None, "Must provide a Repo ID!"
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- convert_repo_to_safetensors(args.repo_id)
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  # Usage: python convert_repo_to_safetensors.py --repo_id GraydientPlatformAPI/goodfit-pony41-xl
 
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  return text_enc_dict
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+ def convert_diffusers_to_safetensors(model_path, checkpoint_path, half = True, progress=gr.Progress(track_tqdm=True)):
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  progress(0, desc="Start converting...")
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  # Path for safetensors
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  unet_path = osp.join(model_path, "unet", "diffusion_pytorch_model.safetensors")
 
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  if half:
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  state_dict = {k: v.half() for k, v in state_dict.items()}
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+ save_file(state_dict, checkpoint_path)
 
 
 
 
 
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  progress(1, desc="Converted.")
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  try:
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  snapshot_download(repo_id=repo_id, local_dir=dir_path)
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  except Exception as e:
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+ print(f"Error: Failed to download {repo_id}. {e}")
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  return
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  return url
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+ def convert_repo_to_safetensors(repo_id, half=True, progress=gr.Progress(track_tqdm=True)):
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  download_dir = f"{repo_id.split('/')[0]}_{repo_id.split('/')[-1]}"
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  output_filename = f"{repo_id.split('/')[0]}_{repo_id.split('/')[-1]}.safetensors"
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  download_repo(repo_id, download_dir)
 
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  return output_filename
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+ def convert_repo_to_safetensors_multi(repo_id, files, is_upload, urls, half=True, progress=gr.Progress(track_tqdm=True)):
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  file = convert_repo_to_safetensors(repo_id)
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  if not urls: urls = []
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  url = ""
 
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  parser = argparse.ArgumentParser()
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  parser.add_argument("--repo_id", default=None, type=str, required=True, help="HF Repo ID of the model to convert.")
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+ parser.add_argument("--half", default=True, help="Save weights in half precision.")
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  args = parser.parse_args()
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  assert args.repo_id is not None, "Must provide a Repo ID!"
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+ convert_repo_to_safetensors(args.repo_id, args.half)
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  # Usage: python convert_repo_to_safetensors.py --repo_id GraydientPlatformAPI/goodfit-pony41-xl