converting cptk to safe tensors
Browse files
app.py
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import gradio as gr
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import torch
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from safetensors.torch import save_file
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import requests
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import os
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def download_ckpt_file(ckpt_url):
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"""
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Downloads the .ckpt file from the provided Hugging Face URL.
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"""
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try:
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# Get the filename from the URL
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filename = ckpt_url.split("/")[-1]
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response = requests.get(ckpt_url)
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# Save the file locally
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with open(filename, 'wb') as f:
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f.write(response.content)
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return filename
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except Exception as e:
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return None, f"Error downloading the file: {str(e)}"
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def convert_ckpt_to_safetensors(ckpt_file):
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"""
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Converts a .ckpt file to safetensors format.
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"""
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try:
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# Load the checkpoint
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checkpoint = torch.load(ckpt_file, map_location='cpu')
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# Ensure the checkpoint contains a 'state_dict'
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if 'state_dict' in checkpoint:
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state_dict = checkpoint['state_dict']
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else:
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state_dict = checkpoint
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# Remove any prefixes if necessary (e.g., 'module.')
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new_state_dict = {}
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for key, value in state_dict.items():
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if key.startswith('module.'):
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new_key = key[len('module.'):]
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else:
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new_key = key
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new_state_dict[new_key] = value
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# Save to safetensors format
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output_file = ckpt_file.replace(".ckpt", ".safetensors")
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save_file(new_state_dict, output_file)
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return output_file
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except Exception as e:
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return f"Error converting to safetensors: {str(e)}"
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def handle_conversion(ckpt_url):
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"""
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Handles the entire process of downloading the .ckpt file from the link,
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converting it to safetensors, and providing the user with the output file.
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"""
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# Download the .ckpt file
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filename = download_ckpt_file(ckpt_url)
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if not filename:
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return None, "Failed to download the file."
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# Convert the .ckpt file to safetensors
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safetensors_file = convert_ckpt_to_safetensors(filename)
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# If the conversion is successful, return the safetensors file
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if safetensors_file.endswith(".safetensors"):
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return safetensors_file
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else:
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return None, safetensors_file
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# Gradio Interface
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def convert_and_download(ckpt_url):
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safetensors_file, message = handle_conversion(ckpt_url)
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if safetensors_file:
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return safetensors_file # Provide the converted file for download
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else:
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return message # Provide the error message
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# Define the Gradio interface
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gr.Interface(
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fn=convert_and_download,
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inputs=gr.Textbox(label="Hugging Face CKPT File URL", placeholder="Enter the link to a .ckpt file"),
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outputs=gr.File(label="Download .safetensors file"),
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title="CKPT to Safetensors Converter",
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description="Enter the Hugging Face URL for a .ckpt file and convert it to safetensors format."
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).launch()
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