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app.py

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+import gradio as gr
+import torch
+from PIL import Image
+from diffusers import QwenImageEditPlusPipeline
+import spaces
+
+# Load pipeline at startup
+pipeline = QwenImageEditPlusPipeline.from_pretrained(
+    "Qwen/Qwen-Image-Edit-2509", 
+    torch_dtype=torch.bfloat16
+)
+pipeline.to('cuda')
+pipeline.set_progress_bar_config(disable=None)
+
+@spaces.GPU(duration=120)
+def edit_images(image1, image2, prompt, seed, true_cfg_scale, negative_prompt, num_steps, guidance_scale):
+    if image1 is None or image2 is None:
+        gr.Warning("Please upload both images")
+        return None
+    
+    # Convert to PIL if needed
+    if not isinstance(image1, Image.Image):
+        image1 = Image.fromarray(image1)
+    if not isinstance(image2, Image.Image):
+        image2 = Image.fromarray(image2)
+    
+    inputs = {
+        "image": [image1, image2],
+        "prompt": prompt,
+        "generator": torch.manual_seed(seed),
+        "true_cfg_scale": true_cfg_scale,
+        "negative_prompt": negative_prompt,
+        "num_inference_steps": num_steps,
+        "guidance_scale": guidance_scale,
+        "num_images_per_prompt": 1,
+    }
+    
+    with torch.inference_mode():
+        output = pipeline(**inputs)
+        return output.images[0]
+
+# Example prompts
+example_prompts = [
+    "The magician bear is on the left, the alchemist bear is on the right, facing each other in the central park square.",
+    "Two characters standing side by side in a beautiful garden with flowers blooming",
+    "The hero on the left and the villain on the right, facing off in an epic battle scene",
+    "Two friends sitting together on a park bench, enjoying the sunset",
+]
+
+with gr.Blocks(css="footer {visibility: hidden}") as demo:
+    gr.Markdown(
+        """
+        # Qwen Image Edit Plus
+        
+        Upload two images and describe how you want them combined or edited together.
+        
+        [Built with anycoder](https://huggingface.co/spaces/akhaliq/anycoder)
+        """
+    )
+    
+    with gr.Row():
+        with gr.Column():
+            image1_input = gr.Image(
+                label="First Image",
+                type="pil",
+                height=300
+            )
+            image2_input = gr.Image(
+                label="Second Image", 
+                type="pil",
+                height=300
+            )
+        
+        with gr.Column():
+            output_image = gr.Image(
+                label="Edited Result",
+                type="pil",
+                height=620
+            )
+    
+    with gr.Group():
+        prompt_input = gr.Textbox(
+            label="Prompt",
+            placeholder="Describe how you want the images combined or edited...",
+            value=example_prompts[0],
+            lines=3
+        )
+        
+        gr.Examples(
+            examples=[[p] for p in example_prompts],
+            inputs=[prompt_input],
+            label="Example Prompts"
+        )
+    
+    with gr.Accordion("Advanced Settings", open=False):
+        with gr.Row():
+            seed_input = gr.Number(
+                label="Seed",
+                value=0,
+                precision=0
+            )
+            num_steps = gr.Slider(
+                label="Number of Inference Steps",
+                minimum=20,
+                maximum=100,
+                value=40,
+                step=1
+            )
+        
+        with gr.Row():
+            true_cfg_scale = gr.Slider(
+                label="True CFG Scale",
+                minimum=1.0,
+                maximum=10.0,
+                value=4.0,
+                step=0.5
+            )
+            guidance_scale = gr.Slider(
+                label="Guidance Scale",
+                minimum=1.0,
+                maximum=5.0,
+                value=1.0,
+                step=0.1
+            )
+        
+        negative_prompt = gr.Textbox(
+            label="Negative Prompt",
+            value=" ",
+            placeholder="What to avoid in the generation..."
+        )
+    
+    generate_btn = gr.Button("Generate Edited Image", variant="primary", size="lg")
+    
+    generate_btn.click(
+        fn=edit_images,
+        inputs=[
+            image1_input,
+            image2_input,
+            prompt_input,
+            seed_input,
+            true_cfg_scale,
+            negative_prompt,
+            num_steps,
+            guidance_scale
+        ],
+        outputs=output_image,
+        show_progress="full"
+    )
+
+demo.launch()