change main file

app.py

@@ -2,6 +2,7 @@
 import gradio as gr
 from diffusers import StableDiffusionPipeline
 import torch
+from PIL import Image, ImageFilter
 
 # 在Space环境中检测设备
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -12,31 +13,67 @@ model = StableDiffusionPipeline.from_pretrained(
     "stabilityai/sd-turbo",
     torch_dtype=torch.float16 if device == "cuda" else torch.float32,
     use_safetensors=True,
-    safety_checker=None,  # 根据需要可开启或关闭
+    safety_checker=None,
     variant="fp16" if device == "cuda" else None,
     low_cpu_mem_usage=True
-)
-model = model.to(device)
+).to(device)
 
-def generate(prompt):
+# 性能优化
+if device == "cuda":
+    model.enable_xformers_memory_efficient_attention()
+    model.enable_model_cpu_offload()
+
+def validate_input(prompt):
+    """输入验证"""
     if not prompt:
-        return None, "请输入有效的提示词"
+        raise ValueError("请输入有效描述")
+    if len(prompt) > 100:
+        raise ValueError("提示词过长（最多100字符）")
+    if not any('\u4e00' <= c <= '\u9fff' for c in prompt):
+        raise ValueError("请至少包含一个中文字符")
+    return prompt.strip()
+
+def post_process(image):
+    """图像后处理"""
+    return image.filter(ImageFilter.SHARPEN).filter(ImageFilter.UnsharpMask(radius=2, percent=150))
+
+def generate(prompt):
     try:
-        image = model(prompt, num_inference_steps=4).images[0]
-        return image, "生成成功!"
+        valid_prompt = validate_input(prompt)
+        steps = 4 if device == "cuda" else 15
+        image = model(
+            valid_prompt,
+            num_inference_steps=steps,
+            guidance_scale=2.0,
+            height=768 if device == "cuda" else 512,
+            width=768 if device == "cuda" else 512
+        ).images[0]
+        return post_process(image), "🎉 生成成功！点击图片可下载"
     except Exception as e:
-        return None, f"生成失败: {str(e)}"
-
-# 基础界面
-interface = gr.Interface(
-    fn=generate,
-    inputs=gr.Textbox(label="输入表情包描述"),
-    outputs=[
-        gr.Image(label="生成结果"),
-        gr.Textbox(label="状态")
-    ],
-    examples=[["一只生气的猫"], ["跳舞的香蕉"]]
-)
-
-# Hugging Face Space推荐的启动方式
-interface.launch(share=False, server_name="0.0.0.0")
+        return None, f"❌ 错误：{str(e)}"
+    
+# 界面构建
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("## 🎭 AI表情包工坊")
+    
+    with gr.Row():
+        input_box = gr.Textbox(label="输入描述", placeholder="例如：打工人的周一早晨...")
+        generate_btn = gr.Button("生成", variant="primary")
+    
+    with gr.Row():
+        image_out = gr.Image(label="生成结果", show_label=False, type="pil")
+        status_box = gr.Textbox(label="状态", interactive=False)
+    
+    gr.Examples(
+        examples=[["熊猫头说'我太难了'"], ["流泪猫猫头配文'真的栓Q'"]],
+        inputs=input_box
+    )
+
+    generate_btn.click(
+        generate,
+        inputs=input_box,
+        outputs=[image_out, status_box]
+    )
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0")