Create app.py

app.py

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+import gradio as gr
+import numpy as np
+import random
+import torch
+import spaces
+
+from PIL import Image
+from diffusers import QwenImageEditPipeline
+
+import os
+
+# --- Model Loading ---
+dtype = torch.bfloat16
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+# Load the model pipeline
+pipe = QwenImageEditPipeline.from_pretrained("Qwen/Qwen-Image-Edit", torch_dtype=dtype).to(device)
+
+# --- UI Constants and Helpers ---
+MAX_SEED = np.iinfo(np.int32).max
+
+# --- Main Inference Function (with hardcoded negative prompt) ---
+@spaces.GPU(duration=120)
+def infer(
+    image,
+    prompt,
+    seed=42,
+    randomize_seed=False,
+    guidance_scale=4.0,
+    num_inference_steps=50,
+    progress=gr.Progress(track_tqdm=True),
+):
+    """
+    Generates an image using the local Qwen-Image diffusers pipeline.
+    """
+    # Hardcode the negative prompt as requested
+    negative_prompt = "text, watermark, copyright, blurry, low resolution"
+    
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+
+    # Set up the generator for reproducibility
+    generator = torch.Generator(device=device).manual_seed(seed)
+    
+    print(f"Calling pipeline with prompt: '{prompt}'")
+    print(f"Negative Prompt: '{negative_prompt}'")
+    print(f"Seed: {seed}, Steps: {num_inference_steps}, Guidance: {guidance_scale}")
+
+    # Generate the image
+    image = pipe(
+        image,
+        prompt=prompt,
+        negative_prompt=negative_prompt,
+        num_inference_steps=num_inference_steps,
+        generator=generator,
+        true_cfg_scale=guidance_scale,
+        guidance_scale=1.0  # Use a fixed default for distilled guidance
+    ).images[0]
+
+    return image, seed
+
+# --- Examples and UI Layout ---
+examples = []
+
+css = """
+#col-container {
+    margin: 0 auto;
+    max-width: 1024px;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown('<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_logo.png" alt="Qwen-Image Logo" width="400" style="display: block; margin: 0 auto;">')
+        gr.Markdown("[Learn more](https://github.com/QwenLM/Qwen-Image) about the Qwen-Image series. Try on [Qwen Chat](https://chat.qwen.ai/), or [download model](https://huggingface.co/Qwen/Qwen-Image-Edit) to run locally with ComfyUI or diffusers.")
+        with gr.Row():
+            with gr.Column():
+                input_image = gr.Image(label="Input Image", show_label=False, type="pil")
+                prompt = gr.Text(
+                    label="Prompt",
+                    show_label=False,
+                    placeholder="describe the edit instruction",
+                    container=False,
+                )
+                run_button = gr.Button("Run", scale=0, variant="primary")
+
+            result = gr.Image(label="Result", show_label=False, type="pil")
+
+        with gr.Accordion("Advanced Settings", open=False):
+            # Negative prompt UI element is removed here
+
+            seed = gr.Slider(
+                label="Seed",
+                minimum=0,
+                maximum=MAX_SEED,
+                step=1,
+                value=0,
+            )
+
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+
+            with gr.Row():
+                guidance_scale = gr.Slider(
+                    label="Guidance scale",
+                    minimum=0.0,
+                    maximum=10.0,
+                    step=0.1,
+                    value=4.0,
+                )
+
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=30,
+                )
+
+        # gr.Examples(examples=examples, inputs=[prompt], outputs=[result, seed], fn=infer, cache_examples=False)
+
+    gr.on(
+        triggers=[run_button.click, prompt.submit],
+        fn=infer,
+        inputs=[
+            input_image,
+            prompt,
+            # negative_prompt is no longer an input from the UI
+            seed,
+            randomize_seed,
+            guidance_scale,
+            num_inference_steps,
+        ],
+        outputs=[result, seed],
+    )
+
+if __name__ == "__main__":
+    demo.launch()