Create app.py

app.py

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+import gradio as gr
+import numpy as np
+import random
+from diffusers import DiffusionPipeline
+from rembg import remove
+import torch
+
+# ===== 初始化模型 =====
+device = "cuda" if torch.cuda.is_available() else "cpu"
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 1024
+
+if torch.cuda.is_available():
+    pipe = DiffusionPipeline.from_pretrained(
+        "stabilityai/sdxl-turbo", 
+        torch_dtype=torch.float16, 
+        variant="fp16",
+        use_safetensors=True
+    )
+    pipe.enable_xformers_memory_efficient_attention()
+    pipe = pipe.to(device)
+else:
+    pipe = DiffusionPipeline.from_pretrained(
+        "stabilityai/sdxl-turbo", 
+        use_safetensors=True
+    )
+    pipe = pipe.to(device)
+
+# ===== 功能函數 =====
+def generate_anime(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+    generator = torch.Generator().manual_seed(seed)
+
+    image = pipe(
+        prompt=f"{prompt}, Anime",
+        negative_prompt=negative_prompt,
+        guidance_scale=guidance_scale,
+        num_inference_steps=num_inference_steps,
+        width=width,
+        height=height,
+        generator=generator
+    ).images[0]
+
+    return image
+
+def remove_background(input_img):
+    if input_img is None:
+        return None
+    return remove(input_img)
+
+# ===== Gradio 介面設計 =====
+examples = [
+    "A well-behaved schoolgirl with glasses",
+    "Astronaut in a jungle, cold color palette, 8k",
+    "An astronaut riding a green horse",
+]
+
+css = """
+#col-container {
+    margin: 0 auto;
+    max-width: 520px;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("## 🧠 Anime Character Generator + Background Remover")
+
+        # Prompt row
+        with gr.Row():
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=1,
+                placeholder="Describe your anime character...",
+                container=False,
+            )
+            run_button = gr.Button("🎨 Generate Anime")
+
+        # Output image (before and after remove background)
+        with gr.Row():
+            result_img = gr.Image(label="Generated Image")
+            removed_img = gr.Image(label="Background Removed")
+
+        # Advanced settings
+        with gr.Accordion("Advanced Settings", open=False):
+            negative_prompt = gr.Text(
+                label="Negative prompt",
+                max_lines=1,
+                placeholder="Enter a negative prompt",
+                visible=True
+            )
+
+            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():
+                width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=512)
+                height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=512)
+
+            with gr.Row():
+                guidance_scale = gr.Slider(label="Guidance Scale", minimum=0.0, maximum=10.0, step=0.1, value=0.0)
+                num_inference_steps = gr.Slider(label="Steps", minimum=1, maximum=12, step=1, value=2)
+
+        # 範例按鈕區
+        gr.Markdown("#### ✨ Prompt Examples")
+        with gr.Row():
+            for example in examples:
+                gr.Button(example).click(lambda x=example: x, outputs=prompt)
+
+        # 主按鈕 callback
+        run_button.click(
+            fn=generate_anime,
+            inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+            outputs=[result_img]
+        ).then(
+            fn=remove_background,
+            inputs=[result_img],
+            outputs=[removed_img]
+        )
+
+demo.queue().launch(share=True)