304 lines
12 KiB
Python
304 lines
12 KiB
Python
import hmac
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import json
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import os
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import tempfile
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from hashlib import sha1
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import base64
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import time
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import uuid
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import requests
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import Config.Config
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from Util.ObsUtil import ObsUploader
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class LibLibGenerator:
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def __init__(self):
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self.base_url = Config.Config.LIBLIB_URL
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self.access_key = Config.Config.LIBLIB_ACCESSKEY
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self.secret_key = Config.Config.LIBLIB_SECRETKEY
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self.timeout = 30
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def make_sign(self, uri):
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"""生成API请求签名"""
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timestamp = str(int(time.time() * 1000))
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signature_nonce = str(uuid.uuid4())
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content = '&'.join((uri, timestamp, signature_nonce))
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digest = hmac.new(self.secret_key.encode(), content.encode(), sha1).digest()
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sign = base64.urlsafe_b64encode(digest).rstrip(b'=').decode()
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return sign, timestamp, signature_nonce
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def post_request(self, uri, payload):
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"""发送POST请求到Liblib API"""
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try:
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sign, timestamp, signature_nonce = self.make_sign(uri)
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url = f'{self.base_url}{uri}?AccessKey={self.access_key}&Signature={sign}&Timestamp={timestamp}&SignatureNonce={signature_nonce}'
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headers = {'Content-Type': 'application/json'}
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response = requests.post(url, json=payload, headers=headers, timeout=self.timeout)
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response.raise_for_status()
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response_data = response.json()
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if response_data.get('code') == 0:
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return response_data.get('data')
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else:
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print(f"url={url}")
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print(f"response_data={response_data}")
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print(f"API错误: {response_data.get('msg')}")
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# print(response_data)
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return None
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except requests.exceptions.RequestException as e:
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print(f"请求异常: {str(e)}")
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return None
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except Exception as e:
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print(f"处理异常: {str(e)}")
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return None
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def get_model_version_info(self, version_uuid):
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"""获取模型版本信息"""
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uri = "/api/model/version/get"
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payload = {"versionUuid": version_uuid}
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model_info = self.post_request(uri, payload)
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if model_info:
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return {
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'modelName': model_info.get('modelName'),
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'versionName': model_info.get('versionName'),
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'commercialUse': model_info.get('commercialUse'),
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'modelUrl': model_info.get('modelUrl')
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}
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else:
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print("获取模型版本信息失败")
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print(model_info)
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return None
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def get_generation_status(self, generate_uuid):
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"""查询生图任务状态和结果"""
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uri = "/api/generate/webui/status"
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payload = {"generateUuid": generate_uuid}
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return self.post_request(uri, payload)
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def wait_for_generation_completion(self, generate_uuid, interval=5, max_wait_time=100):
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"""等待生成完成并返回最终状态"""
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while True:
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status_data = self.get_generation_status(generate_uuid)
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if not status_data:
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print("获取状态失败，重试中...")
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time.sleep(interval)
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continue
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# 获取当前状态和进度
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generate_status = status_data.get('generateStatus')
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percent = status_data.get('percentCompleted', 0) * 100
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status_text = {
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0: "初始化",
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1: "处理中",
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2: "排队中",
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3: "已取消",
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4: "失败",
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5: "完成"
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}.get(generate_status, f"未知状态({generate_status})")
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# 显示进度和状态
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print(f"生成进度：{percent:.2f}% | 状态：{status_text}")
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# 检查是否完成
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if generate_status in [3, 4, 5]: # 取消、失败或完成
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return status_data
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time.sleep(interval)
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print(f"生图任务超时（{max_wait_time}秒）")
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return None
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def download_and_upload_to_obs(slef, image_url, generate_uuid):
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"""下载图片并上传到OBS"""
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try:
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# 1. 清理URL（去除可能的引号和空格）
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clean_url = image_url.strip('` ')
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print(f"清理后的图片URL: {clean_url}")
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# 2. 下载图片到临时文件
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response = requests.get(clean_url, stream=True)
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response.raise_for_status() # 检查HTTP错误
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# 创建临时文件
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with tempfile.NamedTemporaryFile(delete=False, suffix='.png') as temp_file:
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for chunk in response.iter_content(chunk_size=8192):
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temp_file.write(chunk)
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temp_file_path = temp_file.name
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print(f"图片已下载至临时文件: {temp_file_path}")
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# 3. 上传到OBS
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obs_uploader = ObsUploader()
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obs_object_key = f"HuangHai/LibLib/{generate_uuid}.jpg"
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success, result = obs_uploader.upload_file(
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object_key=obs_object_key,
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file_path=temp_file_path
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)
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# 4. 清理临时文件
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os.unlink(temp_file_path)
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if success:
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print(f"✅ 图片成功上传至OBS")
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return obs_object_key
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else:
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print(f"❌ OBS上传失败: {result}")
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return None
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except Exception as e:
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print(f"处理图片时发生错误: {str(e)}")
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return None
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def generate_default_text_to_image(self, prompt, steps=20, width=768, height=1024,
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img_count=1, seed=-1, restore_faces=0,
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additional_network=None):
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"""
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使用默认官方模型进行文生图
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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": prompt,
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"steps": steps,
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"width": width,
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"height": height,
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"imgCount": img_count,
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"seed": seed,
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"restoreFaces": restore_faces
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}
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}
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# 添加additional network参数（如果有）
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if additional_network:
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generate_params["generateParams"]["additionalNetwork"] = additional_network
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# 调用生成接口
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response = self.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 = self.wait_for_generation_completion(generate_uuid, interval=2)
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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 = self.download_and_upload_to_obs(image_url, generate_uuid)
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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://{Config.Config.OBS_BUCKET}.{Config.Config.OBS_SERVER}/{obs_url}"
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return file_url
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else:
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print("❌ 文件上传OBS失败")
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return None
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else:
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print("❌ 未找到生成的图片数据")
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return None
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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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return None
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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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return None
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def generate_custom_checkpoint_text_to_image(self, template_uuid, checkpoint_id,
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prompt="", negative_prompt="", steps=20,
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sampler=15, cfg_scale=7, width=768,
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height=1024, img_count=1, randn_source=0,
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seed=-1, restore_faces=0, hi_res_fix_info=None):
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"""
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使用自定义Checkpoint模型进行文生图
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"""
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generate_params = {
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"templateUuid": template_uuid,
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"generateParams": {
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"checkPointId": checkpoint_id,
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"prompt": prompt,
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"negativePrompt": negative_prompt,
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"sampler": sampler,
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"steps": steps,
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"cfgScale": cfg_scale,
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"width": width,
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"height": height,
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"imgCount": img_count,
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"randnSource": randn_source,
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"seed": seed,
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"restoreFaces": restore_faces
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}
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}
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# 添加高分辨率修复参数（如果有）
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if hi_res_fix_info:
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generate_params["generateParams"]["hiResFixInfo"] = hi_res_fix_info
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# 调用生成接口
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response = self.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 = self.wait_for_generation_completion(generate_uuid, interval=2)
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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 = self.download_and_upload_to_obs(image_url, generate_uuid)
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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://{Config.Config.OBS_BUCKET}.{Config.Config.OBS_SERVER}/{obs_url}"
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return file_url
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else:
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print("❌ 文件上传OBS失败")
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return None
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else:
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print("❌ 未找到生成的图片数据")
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return None
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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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return None
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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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return None |