473 lines
20 KiB
Python
473 lines
20 KiB
Python
import json
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import logging
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import httpx
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import requests
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from fastapi import APIRouter, BackgroundTasks, HTTPException
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from app.core.config import settings
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from app.schemas.generate_image import GenerateImageModel, GenerateProductImageModel, GenerateSingleLogoImageModel, GenerateRelightImageModel, GenerateMultiViewModel, BatchGenerateProductImageModel, BatchGenerateRelightImageModel, AgentTollGenerateImageModel, Flux2ToProductImgModel, GenerateSloganImageModel, GenerateImageFlux2KleinModel
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from app.schemas.pose_transform import BatchPoseTransformModel
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from app.schemas.response_template import ResponseModel
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from app.service.generate_batch_image.service import start_product_batch_generate, start_relight_batch_generate, start_pose_transform_batch_generate
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from app.service.generate_image.service_agent_tool_generate_image import AgentToolGenerateImage
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from app.service.generate_image.service_generate_image import GenerateImage, infer_cancel as generate_image_infer_cancel
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from app.service.generate_image.service_generate_multi_view import GenerateMultiView, infer_cancel as generate_multi_view_cancel
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from app.service.generate_image.service_generate_product_image import GenerateProductImage, infer_cancel as generate_product_image_cancel
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from app.service.generate_image.service_generate_relight_image import GenerateRelightImage, infer_cancel as generate_relight_image_cancel
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from app.service.generate_image.service_generate_single_logo import GenerateSingleLogoImage, infer_cancel as generate_single_logo_cancel
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router = APIRouter()
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logger = logging.getLogger()
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'''generate image'''
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# flux2 klein
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@router.post("/generate_image_flux2_klein")
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async def generate_image_flux2_klein(request_item: GenerateImageFlux2KleinModel):
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"""
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创建一个具有以下参数的请求体:
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- **bucket_name**: OSS桶名 (必填)
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- **object_name**: OSS对象名（文件路径）(必填)
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- **width**: 图片宽度，默认1024像素 (非必填,1024)
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- **height**: 图片高度，默认1024像素 (非必填,默认1024)
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- **prompt**: 文本提示词，用于模型推理等场景 (非必填,默认"")
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- **steps**: 推理步数，控制模型生成过程的迭代次数 (非必填,默认4)
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- **guidance**: 引导系数，调节提示词对生成结果的影响程度 (非必填,默认 4.0 )
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### 示例参数：
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```
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{
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"bucket_name": "aida-users",
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"object_name": "89/moodboard/5fdc698c-cb9b-4b36-afa9ce4-1-89.png",
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"prompt": "a single item of sketch of dress, 4k, white background"
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}
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```
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### 输出示例:
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```
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{
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"code": 200,
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"msg": "OK!",
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"data": {
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"output_path": "aida-users/89/moodboard/5fdc698c-cb9b-4b36-afa9ce4-1-89.png"
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}
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}
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```
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"""
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try:
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logger.info(f"generate_image_flux2_gen_img request: {json.dumps(request_item.model_dump(), indent=4)}")
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async with httpx.AsyncClient(timeout=120) as client:
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resp = await client.post(
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f"http://{settings.FLUX2_GEN_IMG_MODEL_URL}/predict",
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json=request_item.model_dump(),
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)
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result = resp.json()
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logger.info(f"generate_image_flux2_gen_img response: {json.dumps(result, indent=4)}")
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return ResponseModel(data=result)
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except Exception as e:
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logger.warning(f"generate_image_flux2_gen_img Run Exception @@@@@@:{e}")
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raise HTTPException(status_code=404, detail=str(e))
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# sdxl
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@router.post("/generate_image")
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def generate_image(request_item: GenerateImageModel, background_tasks: BackgroundTasks):
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"""
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创建一个具有以下参数的请求体:
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- **tasks_id**: 任务id 用于取消生成任务和获取生成结果
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- **prompt**: 想要生成图片的描述词
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- **image_url**: 图生图的输入，minio或S3 url 地址
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- **mode**: 生成模式，img2img或者txt2img
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- **category**: 生成图片的类别，sketch print 等等
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- **gender**: 生成sketch专用，服装类别
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- **version**: 使用模型版本 fast 或者 high
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示例参数：
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1. txt 2 img
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{
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"tasks_id": "bd2cf809-24bc-49a6-91c9-193c6272a52e-2-89",
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"prompt": "a single item of sketch of dress, 4k, white background",
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"image_url": "",
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"mode": "txt2img",
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"category": "sketch",
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"gender": "Female",
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"version": "fast"
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}
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2. img 2 img
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{
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"tasks_id": "b861d4fa-5ae3-4a30-9c7a-7ba6bb9aa37b-1-89",
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"prompt": "a single item of sketch of dress, 4k, white background",
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"image_url": "aida-collection-element/89/Sketchboard/548da3a2-834f-49a7-b52c-e729c5ab5062.png",
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"mode": "img2img",
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"category": "sketch",
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"gender": "Female",
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"version": "fast"
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}
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"""
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try:
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logger.info(f"generate_image request item is : @@@@@@:{json.dumps(request_item.dict(), indent=4)}")
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service = GenerateImage(request_item)
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background_tasks.add_task(service.get_result)
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except Exception as e:
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logger.warning(f"generate_image Run Exception @@@@@@:{e}")
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raise HTTPException(status_code=404, detail=str(e))
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return ResponseModel()
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@router.get("/generate_cancel/{tasks_id}")
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def generate_image(tasks_id: str):
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try:
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logger.info(f"generate_cancel request item is : @@@@@@:{tasks_id}")
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data = generate_image_infer_cancel(tasks_id)
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logger.info(f"generate_cancel response @@@@@@:{data}")
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except Exception as e:
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logger.warning(f"generate_cancel Run Exception @@@@@@:{e}")
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raise HTTPException(status_code=404, detail=str(e))
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return ResponseModel(data=data['data'])
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'''multi view 停用'''
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# @router.post("/generate_multi_view")
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# def generate_multi_view(request_item: GenerateMultiViewModel, background_tasks: BackgroundTasks):
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# """
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# 创建一个具有以下参数的请求体:
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# - **tasks_id**: 任务id 用于取消生成任务和获取生成结果
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# - **image_url**: 前视角图的输入，minio或S3 url 地址
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#
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# 示例参数：
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# {
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# "tasks_id": "123-89",
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# "image_url": "aida-collection-element/87/Printboard/842c09cf-7297-42d9-9e6e-9c17d4a13cb5.jpg"
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# }
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# """
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# try:
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# logger.info(f"generate_multi_view request item is : @@@@@@:{json.dumps(request_item.dict(),indent=4)}")
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# service = GenerateMultiView(request_item)
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# background_tasks.add_task(service.get_result)
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# except Exception as e:
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# logger.warning(f"generate_multi_view Run Exception @@@@@@:{e}")
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# raise HTTPException(status_code=404, detail=str(e))
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# return ResponseModel()
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# @router.get("/generate_multi_view_cancel/{tasks_id}")
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# def generate_multi_view(tasks_id: str):
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# try:
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# logger.info(f"generate_cancel request item is : @@@@@@:{tasks_id}")
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# data = generate_multi_view_cancel(tasks_id)
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# logger.info(f"generate_cancel response @@@@@@:{data}")
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# except Exception as e:
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# logger.warning(f"generate_cancel Run Exception @@@@@@:{e}")
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# raise HTTPException(status_code=404, detail=str(e))
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# return ResponseModel(data=data['data'])
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'''single logo'''
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@router.post("/generate_single_logo")
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def generate_single_logo(request_item: GenerateSingleLogoImageModel, background_tasks: BackgroundTasks):
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"""
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创建一个具有以下参数的请求体:
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- **tasks_id**: 任务id 用于取消生成任务和获取生成结果
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- **prompt**: 想要生成图片的描述词
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- **seed**: 固定的prompt和固定的seed 每次的生成结果都是一样的
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示例参数：
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{
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"tasks_id": "123-89",
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"prompt": "an apple",
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"seed": "2"
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}
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"""
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try:
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logger.info(f"generate_single_logo request item is : @@@@@@:{json.dumps(request_item.dict(), indent=4)}")
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service = GenerateSingleLogoImage(request_item)
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background_tasks.add_task(service.get_result)
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except Exception as e:
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logger.warning(f"generate_single_logo Run Exception @@@@@@:{e}")
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raise HTTPException(status_code=404, detail=str(e))
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return ResponseModel()
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@router.get("/generate_single_logo_cancel/{tasks_id}")
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def generate_single_logo_image(tasks_id: str):
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try:
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logger.info(f"generate_single_logo_cancel request item is : @@@@@@:{tasks_id}")
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data = generate_single_logo_cancel(tasks_id)
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logger.info(f"generate_single_logo_cancel response @@@@@@:{data}")
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except Exception as e:
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logger.warning(f"generate_single_logo_cancel Run Exception @@@@@@:{e}")
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raise HTTPException(status_code=404, detail=str(e))
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return ResponseModel(data=data['data'])
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"""slogan """
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@router.post("/generate_slogan")
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async def generate_slogan(request_data: GenerateSloganImageModel):
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"""
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### 请求体示例:
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```json
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{
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"num_point": 16,
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"image_url": "aida-slogan/6886785f-0aac-4052-b6fd-7ae20a841d8d.png",
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"prompt": "123",
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"tasks_id": "string-89"
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}
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```
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"""
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try:
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logger.info(f"generate_slogan request item is : @@@@@@:{json.dumps(request_data.dict(), indent=4)}")
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data = requests.post(f"http://{settings.A6000_SERVICE_HOST}:10020/api/slogan", json=request_data.dict())
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logger.info(f"generate_slogan response @@@@@@:{json.dumps(json.loads(data.content), indent=4)}")
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return ResponseModel(data=json.loads(data.content))
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except Exception as e:
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logger.warning(f"generate_slogan Run Exception @@@@@@:{e}")
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"""product image flux2.0"""
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# @router.post("/img_to_product")
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# async def img_to_product(request_data: Flux2ToProductImgModel):
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# """
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# 创建一个具有以下参数的请求体:
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# - **tasks_id**: 任务id 用于取消生成任务和获取生成结果
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# - **prompt**: 想要生成图片的描述词
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# - **image_path**: 被生成图片的S3或minio url地址
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# - **infer_step**: 推理步数
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#
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# ### 请求体示例:
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# ```json
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# point
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# {
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# "prompt": "Create realistic studio photo with real people model standing and wearing this garment, in white studio, Keep original model if present, or generate appropriate model, Standing pose, facing camera.",
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# "image_path":"aida-results/result_38151e0a-f83b-11f0-89f6-0242ac130002.png",
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# "infer_step":4,
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# "tasks_id":"123456-123"
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# }
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# ```
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# """
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# try:
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# logger.info(f"img_to_product request item is : @@@@@@:{json.dumps(request_data.dict(), indent=4)}")
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# data = requests.post(f"http://{settings.A6000_SERVICE_HOST}:10090/api/v1/to_product", json=request_data.dict())
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# logger.info(f"img_to_product response @@@@@@:{json.dumps(json.loads(data.content), indent=4)}")
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# return ResponseModel(data=json.loads(data.content))
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# except Exception as e:
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# logger.warning(f"img_to_product Run Exception @@@@@@:{e}")
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'''product image'''
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@router.post("/generate_product_image")
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def generate_product_image(request_item: GenerateProductImageModel, background_tasks: BackgroundTasks):
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"""
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创建一个具有以下参数的请求体:
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- **tasks_id**: 任务id 用于取消生成任务和获取生成结果
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- **prompt**: 想要生成图片的描述词
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- **image_url**: 被生成图片的S3或minio url地址
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- **image_strength**: 生成强度，越低越接近原图
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- **product_type**: 输入single item 还是 overall item
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示例参数：
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{
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"tasks_id": "123-89",
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"prompt": "the best quality, masterpiece. detailed, high-res, simple background, studio photography, extremely detailed, updo, detailed face, face, close-up, HDR, UHD, 8K realistic, Highly detailed, simple background, Studio lighting",
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"image_url": "aida-results/result_00097282-ebb2-11ee-a822-b48351119060.png",
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"image_strength": 0.8,
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"product_type": "overall"
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}
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"""
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try:
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logger.info(f"generate_product_image request item is : @@@@@@:{json.dumps(request_item.dict(), indent=4)}")
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service = GenerateProductImage(request_item)
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background_tasks.add_task(service.get_result)
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except Exception as e:
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logger.warning(f"generate_product_image Run Exception @@@@@@:{e}")
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raise HTTPException(status_code=404, detail=str(e))
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return ResponseModel()
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@router.get("/generate_product_image_cancel_cancel/{tasks_id}")
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def generate_product_image(tasks_id: str):
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try:
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logger.info(f"generate_product_image_cancel_cancel request item is : @@@@@@:{tasks_id}")
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data = generate_product_image_cancel(tasks_id)
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logger.info(f"generate_product_image_cancel_cancel response @@@@@@:{data}")
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except Exception as e:
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logger.warning(f"generate_product_image_cancel_cancel Run Exception @@@@@@:{e}")
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raise HTTPException(status_code=404, detail=str(e))
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return ResponseModel(data=data['data'])
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'''relight image 停用'''
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# @router.post("/generate_relight_image")
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# def generate_relight_image(request_item: GenerateRelightImageModel, background_tasks: BackgroundTasks):
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# """
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# 创建一个具有以下参数的请求体:
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# - **tasks_id**: 任务id 用于取消生成任务和获取生成结果
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# - **prompt**: 想要生成图片的描述词
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# - **image_url**: 被生成图片的S3或minio url地址
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# - **direction**: 光源方向 Right Light Left Light Top Light Bottom Light
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# - **product_type**: 输入single item 还是 overall item
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#
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#
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# 示例参数：
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# {
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# "tasks_id": "123-89",
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# "prompt": "beautiful woman, detailed face, sunshine, outdoor, warm atmosphere",
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# "image_url": "aida-results/result_0000b606-1902-11ef-9424-0242ac180002.png",
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# "direction": "Right Light",
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# "product_type": "overall"
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# }
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# """
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# try:
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# logger.info(f"generate_relight_image request item is : @@@@@@:{json.dumps(request_item.dict(),indent=4)}")
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# service = GenerateRelightImage(request_item)
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# background_tasks.add_task(service.get_result)
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# except Exception as e:
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# logger.warning(f"generate_relight_image Run Exception @@@@@@:{e}")
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# raise HTTPException(status_code=404, detail=str(e))
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# return ResponseModel()
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#
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#
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# @router.get("/generate_relight_image_cancel_cancel/{tasks_id}")
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# def generate_relight_image(tasks_id: str):
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# try:
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# logger.info(f"generate_relight_image_cancel_cancel request item is : @@@@@@:{tasks_id}")
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# data = generate_relight_image_cancel(tasks_id)
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# logger.info(f"generate_relight_image_cancel_cancel response @@@@@@:{data}")
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# except Exception as e:
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# logger.warning(f"generate_relight_image_cancel_cancel Run Exception @@@@@@:{e}")
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# raise HTTPException(status_code=404, detail=str(e))
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# return ResponseModel(data=data['data'])
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"""batch generate img 停用"""
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# @router.post("/batch_generate_product_image")
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# async def batch_generate_product(request_batch_item: BatchGenerateProductImageModel):
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# """
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# 创建一个具有以下参数的请求体:
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# - **tasks_id**: 任务id 用于获取生成结果
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# - **prompt**: 想要生成图片的描述词
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# - **image_url**: 被生成图片的S3或minio url地址
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# - **image_strength**: 生成强度，越低越接近原图
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# - **product_type**: 输入single item 还是 overall item
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# - **batch_size**: 批生成数量
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#
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#
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# 示例参数：
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# {
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# "tasks_id": "123-89",
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# "prompt": "the best quality, masterpiece. detailed, high-res, simple background, studio photography, extremely detailed, updo, detailed face, face, close-up, HDR, UHD, 8K realistic, Highly detailed, simple background, Studio lighting",
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# "image_url": "aida-results/result_00097282-ebb2-11ee-a822-b48351119060.png",
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# "image_strength": 0.8,
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# "product_type": "overall",
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# "batch_size": 1
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# }
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# """
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# return await start_product_batch_generate(request_batch_item)
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#
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#
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# @router.post("/batch_generate_relight_image")
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# async def batch_generate_relight(request_batch_item: BatchGenerateRelightImageModel):
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# """
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# 创建一个具有以下参数的请求体:
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# - **tasks_id**: 任务id 用于获取生成结果
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# - **prompt**: 想要生成图片的描述词
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# - **image_url**: 被生成图片的S3或minio url地址
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# - **direction**: 光源方向 Right Light Left Light Top Light Bottom Light
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# - **product_type**: 输入single item 还是 overall item
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# - **batch_size**: 批生成数量
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#
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#
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# 示例参数：
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# {
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# "tasks_id": "123-89",
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# "prompt": "beautiful woman, detailed face, sunshine, outdoor, warm atmosphere",
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# "image_url": "aida-results/result_0000b606-1902-11ef-9424-0242ac180002.png",
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# "direction": "Right Light",
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# "product_type": "overall",
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# "batch_size": 1
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# }
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# """
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# return await start_relight_batch_generate(request_batch_item)
|
||
|
||
|
||
# @router.post("/batch_generate_pose_transform_image")
|
||
# async def batch_generate_pose_transform(request_batch_item: BatchPoseTransformModel):
|
||
# """
|
||
# 创建一个具有以下参数的请求体:
|
||
# - **tasks_id**: 任务id 用于取消生成任务和获取生成结果
|
||
# - **image_url**: 被生成图片的S3或minio url地址
|
||
# - **pose_id**: 1
|
||
# - **batch_size**: 批生成数量
|
||
#
|
||
#
|
||
# 示例参数：
|
||
# {
|
||
# "tasks_id": "123-89",
|
||
# "image_url": "aida-results/result_0000b606-1902-11ef-9424-0242ac180002.png",
|
||
# "pose_id": "1",
|
||
# "batch_size": 1
|
||
# }
|
||
# """
|
||
# return await start_pose_transform_batch_generate(request_batch_item)
|
||
#
|
||
#
|
||
# """agent tool"""
|
||
#
|
||
#
|
||
# @router.post("/agent_tool_generate_image")
|
||
# def agent_tool_generate_image(request_item: AgentTollGenerateImageModel):
|
||
# """
|
||
# 创建一个具有以下参数的请求体:
|
||
# - **prompt**: 想要生成图片的描述词
|
||
# - **category**: 生成图片的类别，sketch print 等等
|
||
# - **gender**: 生成sketch专用，服装类别
|
||
# - **version**: 使用模型版本 fast 或者 high
|
||
# - **size**: 生成数量
|
||
# - **version**: 使用模型版本 fast 或者 high
|
||
#
|
||
#
|
||
# 示例参数：
|
||
# {
|
||
# "prompt": "a single item of sketch of Wabi-sabi, skirt, tiered, 4k, white background",
|
||
# "category": "sketch",
|
||
# "gender": "male",
|
||
# "size":2,
|
||
# "version":"high"
|
||
# }
|
||
# """
|
||
# try:
|
||
# logger.info(f"agent_tool_generate_image request item is : @@@@@@:{request_item.dict()}")
|
||
# request_data = request_item.dict()
|
||
# service = AgentToolGenerateImage(request_data['version'])
|
||
# image_url_list, clothing_category_list = service.get_result(
|
||
# prompt=request_data['prompt'],
|
||
# size=request_data['size'],
|
||
# version=request_data['version'],
|
||
# category=request_data['category'],
|
||
# gender=request_data['gender']
|
||
# )
|
||
# data = {
|
||
# "image_url_list": image_url_list,
|
||
# "clothing_category_list": clothing_category_list
|
||
# }
|
||
# logger.info(f"agent_tool_generate_image response item is : @@@@@@:{data}")
|
||
# except Exception as e:
|
||
# logger.warning(f"agent_tool_generate_image Run Exception @@@@@@:{e}")
|
||
# raise HTTPException(status_code=404, detail=str(e))
|
||
# return ResponseModel(data=data)
|