Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from diffusers import QwenImageEditPipeline
+from PIL import Image
+import torch
+
+# Load the pipeline
+pipe = QwenImageEditPipeline.from_pretrained("Qwen/Qwen-Image-Edit").to("cuda")
+
+def edit_image(image, prompt):
+    result = pipe(
+        image=image,
+        prompt=prompt,
+        num_inference_steps=30,
+        generator=torch.manual_seed(0),
+    ).images[0]
+    return result
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🖼️ Qwen Image Edit Demo")
+    with gr.Row():
+        with gr.Column():
+            input_image = gr.Image(type="pil")
+            prompt = gr.Textbox(label="Edit instruction")
+            btn = gr.Button("Generate")
+        with gr.Column():
+            output_image = gr.Image(type="pil")
+
+    btn.click(fn=edit_image, inputs=[input_image, prompt], outputs=output_image)
+
+demo.launch()