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·
65762c4
1
Parent(s):
8718399
Improve image generation and display
Browse files
app.py
CHANGED
@@ -4,6 +4,8 @@ import random
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import logging
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import sys
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import os
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# 设置日志记录
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logging.basicConfig(level=logging.INFO,
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@@ -54,6 +56,12 @@ try:
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except Exception as e:
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logger.error(f"Failed to patch Gradio: {str(e)}")
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# 加载模型
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try:
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from diffusers import DiffusionPipeline
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@@ -85,7 +93,11 @@ def generate_image(prompt):
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try:
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if pipe is None:
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logger.error("Model not loaded, cannot generate image")
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return
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logger.info(f"Generating image for prompt: {prompt}")
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seed = random.randint(0, MAX_SEED)
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@@ -99,26 +111,60 @@ def generate_image(prompt):
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num_inference_steps=2,
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generator=generator
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).images[0]
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except IndexError as e:
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logger.error(f"Index error in pipe: {str(e)}")
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return
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logger.info("Image generation successful")
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return image
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except Exception as e:
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logger.error(f"Error generating image: {str(e)}")
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return
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# 创建简单的 Gradio 界面,禁用示例缓存
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# 启动应用
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if __name__ == "__main__":
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@@ -126,9 +172,10 @@ if __name__ == "__main__":
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logger.info("Starting Gradio app")
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# 添加更多启动选项,以提高稳定性
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demo.launch(
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show_error=True,
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)
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except Exception as e:
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logger.error(f"Error launching app: {str(e)}")
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import logging
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import sys
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import os
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from PIL import Image as PILImage
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import io
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# 设置日志记录
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logging.basicConfig(level=logging.INFO,
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except Exception as e:
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logger.error(f"Failed to patch Gradio: {str(e)}")
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# 创建一个简单的示例图像,在模型加载失败或生成失败时使用
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def create_dummy_image():
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# 创建一个256x256的红色图像
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img = PILImage.new('RGB', (256, 256), color = (255, 0, 0))
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return img
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# 加载模型
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try:
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from diffusers import DiffusionPipeline
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try:
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if pipe is None:
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logger.error("Model not loaded, cannot generate image")
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return create_dummy_image()
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if not prompt or prompt.strip() == "":
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prompt = "A beautiful landscape"
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logger.info(f"Empty prompt, using default: {prompt}")
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logger.info(f"Generating image for prompt: {prompt}")
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seed = random.randint(0, MAX_SEED)
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num_inference_steps=2,
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generator=generator
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).images[0]
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# 确保图像是 PIL.Image 类型
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if not isinstance(image, PILImage.Image):
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logger.warning(f"Converting image from {type(image)} to PIL.Image")
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if hasattr(image, 'numpy'):
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image = PILImage.fromarray(image.numpy())
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else:
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image = PILImage.fromarray(np.array(image))
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# 转换为 RGB 模式,确保兼容性
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if image.mode != 'RGB':
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image = image.convert('RGB')
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logger.info("Image generation successful")
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# 保存图像以供调试
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debug_path = "debug_image.jpg"
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image.save(debug_path)
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logger.info(f"Debug image saved to {debug_path}")
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return image
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except IndexError as e:
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logger.error(f"Index error in pipe: {str(e)}")
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return create_dummy_image()
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except Exception as e:
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logger.error(f"Error generating image: {str(e)}")
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return create_dummy_image()
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# 创建简单的 Gradio 界面,禁用示例缓存
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with gr.Blocks(title="SDXL Turbo Text-to-Image") as demo:
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gr.Markdown("# SDXL Turbo Text-to-Image Generator")
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with gr.Row():
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with gr.Column():
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prompt_input = gr.Textbox(label="Enter your prompt", placeholder="Type your text prompt here...")
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generate_button = gr.Button("Generate Image")
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with gr.Column():
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image_output = gr.Image(label="Generated Image", type="pil")
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# 示例
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gr.Examples(
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examples=["A cute cat", "Sunset over mountains"],
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inputs=prompt_input,
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outputs=image_output,
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fn=generate_image,
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cache_examples=False
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)
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# 绑定生成按钮
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generate_button.click(fn=generate_image, inputs=prompt_input, outputs=image_output)
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# 直接绑定文本框的提交事件
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prompt_input.submit(fn=generate_image, inputs=prompt_input, outputs=image_output)
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# 启动应用
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if __name__ == "__main__":
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logger.info("Starting Gradio app")
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# 添加更多启动选项,以提高稳定性
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demo.launch(
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debug=True,
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show_error=True,
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server_name="0.0.0.0", # 确保可以从外部访问
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max_threads=1 # 降低并发以避免竞态条件
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)
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except Exception as e:
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logger.error(f"Error launching app: {str(e)}")
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