1

README.md

@@ -1,12 +1,34 @@
 ---
-title: Text-to-Image Gradio Template
-emoji: 🖼
-colorFrom: purple
-colorTo: red
+title: 可爱熊猫烧香生成器
+emoji: 🐼
+colorFrom: green
+colorTo: yellow
 sdk: gradio
 sdk_version: 5.25.2
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🐼 可爱熊猫烧香生成器
+
+一个专门生成可爱熊猫烧香图片的AI应用！
+
+## 特色功能
+
+- 🎨 专门优化的熊猫烧香提示词
+- ⚡ 快速生成（使用SDXL-Turbo模型）
+- 🎯 适中的图片尺寸（512x512）
+- 😊 可爱风格优化
+- 🎲 多种预设样式选择
+
+## 使用方法
+
+1. 选择预设的样式按钮，或者自定义描述
+2. 点击"🎨 生成"按钮
+3. 等待几秒钟即可获得可爱的熊猫烧香图片！
+
+## 技术特点
+
+- 使用 Stable Diffusion XL Turbo 模型
+- 优化的参数设置以平衡质量和速度
+- 中文友好的用户界面

app.py

@@ -7,7 +7,7 @@ from diffusers import DiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
+model_repo_id = "stabilityai/sdxl-turbo"  # 使用SDXL-Turbo以获得更快的生成速度
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -18,7 +18,19 @@ pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+MAX_IMAGE_SIZE = 768  # 减小最大尺寸以提高生成速度
+
+# 熊猫烧香相关的提示词模板
+PANDA_INCENSE_PROMPTS = [
+    "cute panda holding incense sticks, kawaii style, soft pastel colors, adorable expression",
+    "adorable baby panda with burning incense, peaceful meditation, cartoon style, warm lighting",
+    "kawaii panda monk burning incense, temple background, cute and serene, anime style",
+    "fluffy panda with incense burner, traditional Chinese style, cute and peaceful",
+    "chibi panda holding joss sticks, temple setting, soft colors, very cute"
+]
+
+# 负面提示词，避免不可爱的元素
+DEFAULT_NEGATIVE_PROMPT = "ugly, scary, dark, horror, realistic, photographic, aggressive, angry, sad"
 
 
 # @spaces.GPU #[uncomment to use ZeroGPU]
@@ -52,9 +64,11 @@ def infer(
 
 
 examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
+    "cute panda holding incense sticks, kawaii style, soft pastel colors, adorable expression",
+    "adorable baby panda with burning incense, peaceful meditation, cartoon style, warm lighting", 
+    "kawaii panda monk burning incense, temple background, cute and serene, anime style",
+    "fluffy panda with incense burner, traditional Chinese style, cute and peaceful",
+    "chibi panda holding joss sticks, temple setting, soft colors, very cute"
 ]
 
 css = """
@@ -66,74 +80,91 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(" # Text-to-Image Gradio Template")
+        gr.Markdown("# 🐼 可爱熊猫烧香生成器")
+        gr.Markdown("生成可爱的熊猫烧香图片，快速且高质量！")
 
         with gr.Row():
             prompt = gr.Text(
-                label="Prompt",
+                label="描述",
                 show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
+                max_lines=2,
+                placeholder="描述你想要的熊猫烧香场景，或者选择下面的示例...",
                 container=False,
+                value="cute panda holding incense sticks, kawaii style, soft pastel colors, adorable expression"
             )
 
-            run_button = gr.Button("Run", scale=0, variant="primary")
+            run_button = gr.Button("🎨 生成", scale=0, variant="primary")
+        
+        # 添加快速选择按钮
+        with gr.Row():
+            quick_buttons = []
+            for i, example_prompt in enumerate(PANDA_INCENSE_PROMPTS):
+                btn = gr.Button(f"样式 {i+1}", size="sm", variant="secondary")
+                quick_buttons.append(btn)
 
         result = gr.Image(label="Result", show_label=False)
 
-        with gr.Accordion("Advanced Settings", open=False):
+        with gr.Accordion("高级设置", open=False):
             negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=False,
+                label="负面提示词",
+                max_lines=2,
+                placeholder="描述你不想要的元素",
+                value=DEFAULT_NEGATIVE_PROMPT,
             )
 
             seed = gr.Slider(
-                label="Seed",
+                label="随机种子",
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
                 value=0,
             )
 
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+            randomize_seed = gr.Checkbox(label="随机种子", value=True)
 
             with gr.Row():
                 width = gr.Slider(
-                    label="Width",
+                    label="宽度",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=512,  # 较小尺寸以提高生成速度
                 )
 
                 height = gr.Slider(
-                    label="Height",
+                    label="高度",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=512,  # 较小尺寸以提高生成速度
                 )
 
             with gr.Row():
                 guidance_scale = gr.Slider(
-                    label="Guidance scale",
+                    label="引导强度",
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,  # Replace with defaults that work for your model
+                    value=1.0,  # 适中的引导强度
                 )
 
                 num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
+                    label="推理步数",
                     minimum=1,
-                    maximum=50,
+                    maximum=10,
                     step=1,
-                    value=2,  # Replace with defaults that work for your model
+                    value=4,  # 更少步数以提高速度
                 )
 
-        gr.Examples(examples=examples, inputs=[prompt])
+        gr.Examples(examples=examples, inputs=[prompt], label="🎨 示例提示词")
+    
+    # 为快速选择按钮添加事件处理
+    for i, btn in enumerate(quick_buttons):
+        btn.click(
+            fn=lambda x=PANDA_INCENSE_PROMPTS[i]: x,
+            outputs=[prompt]
+        )
+    
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,

requirements.txt

@@ -3,4 +3,5 @@ diffusers
 invisible_watermark
 torch
 transformers
-xformers
+xformers
+gradio