Create app.py

app.py

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+import gradio as gr
+from diffusers import DiffusionPipeline
+import torch
+from PIL import Image
+
+# Base + LoRA
+BASE_MODEL = "Qwen/Qwen-Image-Edit-2509"
+LORA_PATH = "dx8152/Qwen-Image-Edit-2509-Light_restoration"
+
+pipe = DiffusionPipeline.from_pretrained(BASE_MODEL, torch_dtype=torch.float16).to("cuda")
+pipe.load_lora_weights(LORA_PATH)
+
+def edit_image(prompt, input_image):
+    result = pipe(prompt=prompt, image=input_image).images[0]
+    return result
+
+demo = gr.Interface(
+    fn=edit_image,
+    inputs=[gr.Textbox(label="Prompt"), gr.Image(label="Input Image")],
+    outputs=gr.Image(label="Output Image"),
+    title="Qwen Image Edit – Light Restoration"
+)
+demo.launch()