git clone https://huggingface.co/stabilityai/stable-diffusion-2-inpainting

app.py

@@ -1,37 +0,0 @@
-import gradio as gr
-from diffusers import StableDiffusionInpaintPipeline
-import torch
-from PIL import Image
-import base64
-import io
-
-# Load the Qwen Inpainting model
-pipe = StableDiffusionInpaintPipeline.from_pretrained(
-    "InstantX/Qwen-Image-ControlNet-Inpainting",
-    torch_dtype=torch.float16
-).to("cuda")
-
-def edit_image(image, mask, prompt):
-    image = image.convert("RGB")
-    mask = mask.convert("L")  # Black = edit, White = keep
-    result = pipe(
-        prompt=prompt,
-        image=image,
-        mask_image=mask,
-        num_inference_steps=30
-    ).images[0]
-    return result
-
-# Gradio UI
-demo = gr.Interface(
-    fn=edit_image,
-    inputs=[
-        gr.Image(type="pil", label="Input Image"),
-        gr.Image(type="pil", label="Mask Image"),
-        gr.Textbox(label="Prompt")
-    ],
-    outputs=gr.Image(type="pil", label="Edited Image"),
-    title="Qwen Image Inpainting"
-)
-
-demo.launch()

requirements.txt

@@ -1,6 +0,0 @@
-torch
-diffusers
-transformers
-accelerate
-safetensors
-gradio