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import gradio as gr
import torch
#from torch import autocast // only for GPU
from PIL import Image
import numpy as np
from io import BytesIO
import os
MY_SECRET_TOKEN=os.environ.get('HF_TOKEN_SD')
#from diffusers import StableDiffusionPipeline
from diffusers import StableDiffusionImg2ImgPipeline
print("hello sylvain")
YOUR_TOKEN=MY_SECRET_TOKEN
device="cpu"
#prompt_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", use_auth_token=YOUR_TOKEN)
#prompt_pipe.to(device)
img_pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5",
use_auth_token=YOUR_TOKEN,
safety_checker=None, # ← disable safety checker
)
img_pipe.to(device)
source_img = gr.Image(source="upload", type="filepath", label="init_img | 512*512 px")
gallery = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[1], height="auto")
def resize(value,img):
#baseheight = value
img = Image.open(img)
#hpercent = (baseheight/float(img.size[1]))
#wsize = int((float(img.size[0])*float(hpercent)))
#img = img.resize((wsize,baseheight), Image.Resampling.LANCZOS)
img = img.resize((value,value), Image.Resampling.LANCZOS)
return img
def infer(source_img, prompt, guide, steps, seed, strength):
generator = torch.Generator("cpu").manual_seed(seed)
source_image = Image.open(source_img).convert("RGB")
source_image = source_image.resize((512, 512), Image.Resampling.LANCZOS)
result = img_pipe(
[prompt],
image=source_image,
strength=strength,
guidance_scale=guide,
num_inference_steps=steps,
generator=generator
)
output_images = result["images"]
output_paths = []
for idx, img in enumerate(output_images):
filename = f"output_{seed}_{idx}.png"
save_path = os.path.join("outputs", filename)
os.makedirs("outputs", exist_ok=True)
img.save(save_path)
print(f"Saved image to: {save_path}")
output_paths.append(save_path)
# Optional: return paths or Gradio can render them too
return output_images
print("Great sylvain ! Everything is working fine !")
title="Img2Img Stable Diffusion CPU"
description="<p style='text-align: center;'>Img2Img Stable Diffusion example using CPU and HF token. <br />Warning: Slow process... ~5/10 min inference time. <b>NSFW filter enabled. <br /> <img id='visitor-badge' alt='visitor badge' src='https://visitor-badge.glitch.me/badge?page_id=gradio-blocks.stable-diffusion-img2img' style='display: inline-block'/></b></p>"
gr.Interface(fn=infer, inputs=[source_img,
"text",
gr.Slider(2, 15, value = 7, label = 'Guidence Scale'),
gr.Slider(10, 50, value = 25, step = 1, label = 'Number of Iterations'),
gr.Slider(label = "Seed", minimum = 0, maximum = 2147483647, step = 1, randomize = True),
gr.Slider(label='Strength', minimum = 0, maximum = 1, step = .05, value = .75)],
outputs=gallery,title=title,description=description, allow_flagging="manual", flagging_dir="flagged").queue(max_size=100).launch(enable_queue=True) |