79 lines
3.1 KiB
Python
79 lines
3.1 KiB
Python
import json
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from Liblib.LibLibGenerator import LibLibGenerator
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from Config.Config import OBS_BUCKET, OBS_SERVER
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if __name__ == '__main__':
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# - Checkpoint默认为官方模型
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"""
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- Checkpoint默认为官方模型
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- 可用模型范围：基础算法F.1
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- 支持additional network
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"""
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generate_params = {
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"templateUuid": "6f7c4652458d4802969f8d089cf5b91f", # 参数模板ID F.1文生图
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"generateParams": {
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"prompt": "filmfotos, Asian portrait,A young woman wearing a green baseball cap,covering one eye with her hand",
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"steps": 20, # 采样步数
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"width": 768, # 宽
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"height": 1024, # 高
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"imgCount": 1, # 图片数量
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"seed": -1, # 随机种子值，-1 表示随机
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"restoreFaces": 0, # 面部修复，0 关闭，1 开启
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# Lora添加，最多5个，不添加lora时请删除此结构体
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"additionalNetwork": [
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{
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"modelId": "169505112cee468b95d5e4a5db0e5669", # LoRA的模型版本uuid
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"weight": 1.0 # LoRA权重
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}
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]
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}
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}
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liblib = LibLibGenerator()
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# 调用生成接口
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response = liblib.post_request(
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"/api/generate/webui/text2img",
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generate_params
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)
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print(f"API响应: {json.dumps(response, ensure_ascii=False, indent=2)}")
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if response and "generateUuid" in response:
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generate_uuid = response["generateUuid"]
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print("✅ 图像生成任务已成功提交！")
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print(f"生成UUID: {generate_uuid}")
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print("开始轮询生成状态...")
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# 每2秒探测一次生成状态，直到完成
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status_data = liblib.wait_for_generation_completion(
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generate_uuid, interval=2
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)
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# 检查生成状态
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if status_data and status_data.get("generateStatus") == 5:
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print("🎉 图像生成完成！开始处理文件...")
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# 提取图片URL
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if status_data.get("images") and len(status_data["images"]) > 0:
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image_url = status_data["images"][0]["imageUrl"]
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# 下载并上传到OBS
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obs_url = liblib.download_and_upload_to_obs(
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image_url, generate_uuid
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)
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if obs_url:
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print(f"✅ 文件处理完成，OBS地址: {obs_url}")
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file_url = f"https://{OBS_BUCKET}.{OBS_SERVER}/{obs_url}"
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print(f"完整OBS URL: {file_url}")
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else:
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print("❌ 文件上传OBS失败")
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else:
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print("❌ 未找到生成的图片数据")
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else:
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error_msg = status_data.get('message', '未知错误') if status_data else '生成状态查询失败'
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print(f"❌ 图像生成失败: {error_msg}")
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else:
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error_msg = response.get('message', '未知错误') if response else 'API无响应'
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print(f"❌ 图像生成失败: {error_msg}")
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