Added files to HF space

app.py

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+import gradio as gr
+from gradio_client import Client
+
+# Connect to the Qwen-Image-Fast model
+client = Client("multimodalart/Qwen-Image-Fast")
+
+# Function to generate images
+def generate_image(
+    prompt,
+    seed=0,
+    randomize_seed=True,
+    aspect_ratio="16:9",
+    guidance_scale=1,
+    num_inference_steps=8,
+    prompt_enhance=True,
+):
+    if not prompt.strip():
+        return None, "⚠️ Please enter a prompt."
+
+    try:
+        result = client.predict(
+            prompt=prompt,
+            seed=seed,
+            randomize_seed=randomize_seed,
+            aspect_ratio=aspect_ratio,
+            guidance_scale=guidance_scale,
+            num_inference_steps=num_inference_steps,
+            prompt_enhance=prompt_enhance,
+            api_name="/infer",
+        )
+        img_info, seed_out = result
+        return img_info["url"], f"✅ Image generated! (Seed: {seed_out})"
+    except Exception as e:
+        return None, f"❌ Error: {str(e)}"
+
+
+# Build Gradio app
+with gr.Blocks(title="Qwen Image Generator") as demo:
+    gr.Markdown("## 🎨 Qwen Image Generator\nEnter a **prompt** and customize settings if needed.")
+
+    with gr.Row():
+        prompt_input = gr.Textbox(label="Prompt", placeholder="Enter your prompt...", lines=2)
+
+    with gr.Accordion("⚙️ Customization (Optional)", open=False):
+        seed = gr.Number(label="Seed (default: 0)", value=0)
+        randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
+        aspect_ratio = gr.Radio(
+            ["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3"],
+            label="Aspect Ratio",
+            value="16:9"
+        )
+        guidance_scale = gr.Slider(1, 10, value=1, step=1, label="Guidance Scale (CFG)")
+        num_inference_steps = gr.Slider(1, 50, value=8, step=1, label="Number of Inference Steps")
+        prompt_enhance = gr.Checkbox(label="Prompt Enhance", value=True)
+
+    generate_btn = gr.Button("🚀 Generate Image")
+    output_img = gr.Image(label="Generated Image")
+    status = gr.Textbox(label="Status", interactive=False)
+
+    generate_btn.click(
+        fn=generate_image,
+        inputs=[prompt_input, seed, randomize_seed, aspect_ratio, guidance_scale, num_inference_steps, prompt_enhance],
+        outputs=[output_img, status]
+    )
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0",server_port=7860,pwa=True)

requirements.txt

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+gradio
+gradio-client