Add inpainting app

app.py

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+import torch
+from diffusers import AutoPipelineForInpainting
+import gradio as gr
+from PIL import Image
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+pipe = AutoPipelineForInpainting.from_pretrained(
+    "black-forest-labs/FLUX.1-Fill-dev", torch_dtype=torch.float16
+).to(device)
+pipe.enable_model_cpu_offload()
+
+
+def inpaint(
+    image: Image.Image, mask: Image.Image, prompt: str, negative_prompt: str = ""
+):
+    output = pipe(
+        prompt=prompt, negative_prompt=negative_prompt, image=image, mask_image=mask
+    ).images[0]
+    return output
+
+
+iface = gr.Interface(
+    fn=inpaint,
+    inputs=[
+        gr.Image(label="Base Image"),
+        gr.Image(label="Mask (white=edit)", tool="sketch", type="pil"),
+        gr.Textbox(label="Prompt"),
+        gr.Textbox(label="Negative Prompt (optional)"),
+    ],
+    outputs=gr.Image(label="Inpainted Output"),
+    title="Flux.1 Fill‑dev Inpaint",
+    description="Upload an image and mask, enter prompt, and capture structure-preserving inpaint—all running inside the app.",
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+diffusers>=0.34.0
+torch
+safetensors
+transformers
+gradio