File size: 1,624 Bytes
5638c25 9372c94 5638c25 9372c94 5638c25 9372c94 5638c25 9372c94 5638c25 9372c94 5638c25 9372c94 5638c25 9372c94 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
import gradio as gr
import torch
from safetensors.torch import save_file
import requests
import os
def convert_ckpt_to_safetensors(input_path, output_path):
# Load the .ckpt file
state_dict = torch.load(input_path, map_location='cpu')
# Save as .safetensors
save_file(state_dict, output_path)
def process(url, uploaded_file):
if url:
# Download the .ckpt file
local_filename = 'model.ckpt'
with requests.get(url, stream=True) as r:
r.raise_for_status()
with open(local_filename, 'wb') as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
elif uploaded_file is not None:
# Save uploaded file
local_filename = uploaded_file.name
with open(local_filename, 'wb') as f:
f.write(uploaded_file.read())
else:
return "Please provide a URL or upload a .ckpt file."
output_filename = local_filename.replace('.ckpt', '.safetensors')
# Convert the .ckpt to .safetensors
convert_ckpt_to_safetensors(local_filename, output_filename)
# Clean up the input file
os.remove(local_filename)
return output_filename
iface = gr.Interface(
fn=process,
inputs=[
gr.Textbox(label="URL of .ckpt file", placeholder="Enter the URL here"),
gr.File(label="Or upload a .ckpt file", file_types=['.ckpt'])
],
outputs=gr.File(label="Converted .safetensors file"),
title="CKPT to SafeTensors Converter",
description="Convert .ckpt files to .safetensors format. Provide a URL or upload your .ckpt file."
)
iface.launch()
|