feat（新功能）: 新增wan2.2 pose-transform模型接口，comfyui-api形式
fix（修复bug）: docs（文档变更）: refactor（重构）: test(增加测试):
This commit is contained in:
zhh
@@ -1,10 +1,13 @@
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import json
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import logging
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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 COMFYUI_SERVER_ADDRESS
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from app.schemas.pose_transform import PoseTransformModel
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from app.schemas.response_template import ResponseModel
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from app.service.comfyui_I2V.server import ComfyUIServerI2V
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from app.service.generate_image.service_pose_transform import PoseTransformService, infer_cancel as pose_transform_infer_cancel
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router = APIRouter()
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@@ -47,3 +50,49 @@ def pose_transform_cancel(tasks_id: str):
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logger.warning(f"pose_transform_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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@router.post("/comfyui_pose_transform")
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def comfyui_pose_transform(request_item: PoseTransformModel, 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**: 被生成图片的S3或minio url地址
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- **pose_id**: 1
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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-results/result_0000b606-1902-11ef-9424-0242ac180002.png",
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"pose_id": "1"
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}
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"""
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try:
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logger.info(f"pose_transform request item is : @@@@@@:{json.dumps(request_item.dict())}")
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service = ComfyUIServerI2V(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"pose_transform 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("/comfyui_pose_transform_cancel/{tasks_id}")
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def pose_transform_cancel(tasks_id: str):
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try:
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logger.info(f"pose_transform_cancel request item is : @@@@@@:{tasks_id}")
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response = requests.post(
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f"http://{COMFYUI_SERVER_ADDRESS}/interrupt",
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json={"prompt_id": tasks_id}
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)
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data = {}
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if response.status_code == 200:
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data['data']['message'] = "任务已成功中断"
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else:
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data['data']['message'] = f"中断失败：{response.text}"
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logger.info(f"pose_transform_cancel response @@@@@@:{data}")
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except Exception as e:
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logger.warning(f"pose_transform_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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@@ -230,3 +230,6 @@ TABLE_CATEGORIES = {
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"male_bottoms": "male/bottoms",
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"male_outwear": "male/outwear"
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}
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# --- ComfyUI 配置信息 ---
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COMFYUI_SERVER_ADDRESS = "10.1.2.227:8080" # 替换为您的 ComfyUI 服务器地址
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703
app/service/comfyui_I2V/server.py
Normal file
703
app/service/comfyui_I2V/server.py
Normal file
@@ -0,0 +1,703 @@
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import io
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import json
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import logging
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import os
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import random
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import tempfile
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import time
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import uuid
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import redis
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import requests
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from PIL import Image
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from minio import Minio, S3Error
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from moviepy.video.io.VideoFileClip import VideoFileClip
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from app.core.config import REDIS_HOST, REDIS_PORT, REDIS_DB, MINIO_URL, MINIO_ACCESS, MINIO_SECRET, MINIO_SECURE, COMFYUI_SERVER_ADDRESS, PS_RABBITMQ_QUEUES, DEBUG
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from app.schemas.pose_transform import PoseTransformModel
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logger = logging.getLogger()
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workflow_json = {
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"162": {
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"inputs": {
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"text": "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
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"clip": [
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"167",
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0
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Negative Prompt)"
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}
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},
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"163": {
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"inputs": {
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"fps": 24,
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"images": [
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"164",
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0
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]
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},
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"class_type": "CreateVideo",
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"_meta": {
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"title": "创建视频"
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}
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},
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"164": {
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"inputs": {
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"samples": [
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"175",
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0
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],
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"vae": [
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"168",
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0
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]
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},
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"class_type": "VAEDecode",
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"_meta": {
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"title": "VAE解码"
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}
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},
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"165": {
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"inputs": {
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"unet_name": "wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors",
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"weight_dtype": "default"
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},
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"class_type": "UNETLoader",
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"_meta": {
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"title": "UNet加载器"
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}
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},
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"166": {
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"inputs": {
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"unet_name": "wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors",
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"weight_dtype": "default"
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},
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"class_type": "UNETLoader",
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"_meta": {
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"title": "UNet加载器"
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}
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},
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"167": {
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"inputs": {
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"clip_name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
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"type": "wan",
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"device": "default"
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},
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"class_type": "CLIPLoader",
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"_meta": {
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"title": "加载CLIP"
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}
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},
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"168": {
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"inputs": {
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"vae_name": "wan_2.1_vae.safetensors"
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},
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"class_type": "VAELoader",
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"_meta": {
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"title": "加载VAE"
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}
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},
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"169": {
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"inputs": {
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"add_noise": "enable",
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"noise_seed": 8860422635573,
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"steps": 4,
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"cfg": 1,
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"sampler_name": "euler",
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"scheduler": "simple",
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"start_at_step": 0,
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"end_at_step": 2,
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"return_with_leftover_noise": "enable",
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"model": [
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"176",
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0
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],
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"positive": [
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"180",
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0
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],
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"negative": [
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"180",
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1
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],
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"latent_image": [
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"180",
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2
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]
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},
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"class_type": "KSamplerAdvanced",
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"_meta": {
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"title": "K采样器（高级）"
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}
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},
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"170": {
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"inputs": {
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"filename_prefix": "video/wan2.2_fun_control",
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"format": "auto",
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"codec": "auto",
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"video-preview": "",
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"video": [
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"163",
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0
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]
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},
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"class_type": "SaveVideo",
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"_meta": {
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"title": "保存视频"
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}
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},
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"171": {
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"inputs": {
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"video": [
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"174",
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0
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]
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},
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"class_type": "GetVideoComponents",
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"_meta": {
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"title": "获取视频组件"
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}
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},
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"174": {
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"inputs": {
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"file": "skeleton_3.mp4"
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},
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"class_type": "LoadVideo",
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"_meta": {
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"title": "加载视频"
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}
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},
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"175": {
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"inputs": {
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"add_noise": "disable",
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"noise_seed": 0,
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"steps": 4,
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"cfg": 1,
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"sampler_name": "euler",
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"scheduler": "simple",
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"start_at_step": 2,
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"end_at_step": 4,
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"return_with_leftover_noise": "disable",
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"model": [
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"177",
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0
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],
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"positive": [
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"180",
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0
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],
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"negative": [
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"180",
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1
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],
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"latent_image": [
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"169",
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0
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]
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},
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"class_type": "KSamplerAdvanced",
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"_meta": {
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"title": "K采样器（高级）"
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}
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},
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"176": {
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"inputs": {
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"shift": 8.000000000000002,
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"model": [
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"181",
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0
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]
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},
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"class_type": "ModelSamplingSD3",
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"_meta": {
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"title": "采样算法（SD3）"
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}
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},
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"177": {
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"inputs": {
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"shift": 8.000000000000002,
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"model": [
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"182",
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0
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]
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},
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"class_type": "ModelSamplingSD3",
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"_meta": {
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"title": "采样算法（SD3）"
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}
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},
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"178": {
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"inputs": {
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"image": "296f5fd6-c5e4-4003-9798-f378a4f08411-0-89.png"
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},
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"class_type": "LoadImage",
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"_meta": {
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"title": "加载图像"
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}
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},
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"179": {
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"inputs": {
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"text": "On a sunny summer day, there are marshmallow - like clouds, and the sunlight is bright and warm. A girl with white curly double - ponytails is wearing unique sunglasses, distinctive clothes and shoes. Her posture is natural and full of dynamic tension. The background is the scene of the Leaning Tower of Pisa in Italy, emphasizing the realistic contrast of details in reality. The whole picture is in a realistic 3D style, rich in details and with a relaxed atmosphere. She is dancing slowly, waving her hands.",
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"clip": [
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"167",
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0
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Positive Prompt)"
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}
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},
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"180": {
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"inputs": {
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"width": 512,
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"height": 768,
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"length": 121,
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"batch_size": 1,
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"positive": [
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"179",
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0
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],
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"negative": [
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"162",
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0
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],
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"vae": [
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"168",
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0
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],
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"ref_image": [
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"178",
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0
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],
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"control_video": [
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"171",
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0
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]
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},
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"class_type": "Wan22FunControlToVideo",
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"_meta": {
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"title": "Wan22FunControlToVideo"
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}
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},
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"181": {
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"inputs": {
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"lora_name": "wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors",
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"strength_model": 1,
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"model": [
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"165",
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0
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]
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},
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"class_type": "LoraLoaderModelOnly",
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"_meta": {
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"title": "LoRA加载器（仅模型）"
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}
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},
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"182": {
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"inputs": {
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"lora_name": "wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors",
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"strength_model": 1,
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"model": [
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"166",
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0
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]
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},
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"class_type": "LoraLoaderModelOnly",
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"_meta": {
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"title": "LoRA加载器（仅模型）"
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}
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}
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}
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pose_video_map = {
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"1": "input_pose_video/1.mp4",
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"2": "input_pose_video/2.mp4",
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"3": "input_pose_video/3.mp4",
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"4": "input_pose_video/4.mp4",
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"5": "input_pose_video/5.mp4",
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"6": "input_pose_video/6.mp4"
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}
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class ComfyUIServerI2V:
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def __init__(self, request_data):
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self.image_url = request_data.image_url
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self.pose_num = request_data.pose_id
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self.tasks_id = request_data.tasks_id
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self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
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self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
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self.pose_transform_data = {'tasks_id': self.tasks_id, 'status': 'PENDING', 'message': "pending", 'gif_url': '',
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'video_url': '', 'image_url': ''}
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self.redis_client.set(self.tasks_id, json.dumps(self.pose_transform_data))
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self.redis_client.expire(self.tasks_id, 600)
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self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
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def get_result(self):
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logger.info("11111111111111")
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workflow_json['174']['inputs']['file'] = pose_video_map[self.pose_num ]
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workflow_json['169']['inputs']['noise_seed'] = random.randint(0, 10 ** 18)
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# 下载图片 上传 comfyui server
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in_memory_file, object_name = self.download_from_minio_in_memory()
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if in_memory_file and object_name:
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uploaded_filename = self.upload_in_memory_file_to_comfyui(in_memory_file, object_name)
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# 1. 提交任务
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prompt_response = self.queue_prompt(workflow_json, self.tasks_id)
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if not prompt_response:
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return
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prompt_id = prompt_response.get("prompt_id")
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print(f" 任务已提交，Prompt ID: {prompt_id}")
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outputs = self.poll_history(prompt_id)
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file_list = {}
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for node_id, node_output in outputs.items():
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# 检查当前节点输出中是否包含 'images' 列表
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if 'images' in node_output and isinstance(node_output['images'], list):
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# 'images' 列表中的每个元素都是一个文件对象
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for file_info in node_output['images']:
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# 确保关键字段存在
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if all(key in file_info for key in ['filename', 'subfolder', 'type']):
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file_list = {
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'filename': file_info['filename'],
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'subfolder': file_info['subfolder'],
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'type': file_info['type']
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}
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print(file_list)
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return self.process_and_upload_comfyui_video(filename=file_list['filename'], subfolder=file_list['subfolder'], prompt_id=prompt_response['prompt_id']), prompt_id
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def read_tasks_status(self):
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status_data = self.redis_client.get(self.tasks_id)
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return json.loads(status_data), status_data
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def download_from_minio_in_memory(self):
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bucket = self.image_url.split('/')[0]
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object_name = self.image_url[self.image_url.find('/') + 1:]
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print("🚀 正在连接 MinIO 客户端...")
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try:
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# get_object 返回一个 ResponseStream 对象
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response_stream = self.minio_client.get_object(
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bucket,
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object_name,
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)
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# 读取整个流到内存 (BytesIO)，避免写入本地文件
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image_bytes = response_stream.read()
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response_stream.close()
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response_stream.release_conn()
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in_memory_file = io.BytesIO(image_bytes)
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print(f"✅ 图片已下载到内存 ({len(image_bytes)} 字节)。")
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return in_memory_file, object_name.rsplit('/')[-1]
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|
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except S3Error as e:
|
||||
print(f"❌ MinIO S3 错误 (例如，对象不存在): {e}")
|
||||
return None, None
|
||||
except Exception as e:
|
||||
print(f"❌ MinIO 下载过程中发生未知错误: {e}")
|
||||
return None, None
|
||||
|
||||
def upload_video_to_minio(self, BUCKET_NAME, OBJECT_NAME, LOCAL_FILE_PATH):
|
||||
"""使用 fput_object 从本地路径上传 MP4 文件"""
|
||||
try:
|
||||
# 使用 fput_object 上传文件
|
||||
# content_type 对于视频流播放非常重要，MP4 文件应使用 'video/mp4'
|
||||
result = self.minio_client.fput_object(
|
||||
bucket_name=BUCKET_NAME,
|
||||
object_name=OBJECT_NAME,
|
||||
file_path=LOCAL_FILE_PATH,
|
||||
content_type="video/mp4" # 设置正确的内容类型
|
||||
)
|
||||
|
||||
print(f"✅ 文件 '{LOCAL_FILE_PATH}' 已成功上传至 MinIO:")
|
||||
print(f" 对象名: {result.object_name}")
|
||||
print(f" Etag: {result.etag}")
|
||||
|
||||
except S3Error as e:
|
||||
print(f"❌ MinIO 操作失败: {e}")
|
||||
except FileNotFoundError:
|
||||
print(f"❌ 找不到本地文件: {LOCAL_FILE_PATH}")
|
||||
except Exception as e:
|
||||
print(f"❌ 发生未知错误: {e}")
|
||||
|
||||
def upload_gif_to_minio(self, BUCKET_NAME, OBJECT_NAME, LOCAL_FILE_PATH):
|
||||
"""使用 fput_object 从本地路径上传 MP4 文件"""
|
||||
try:
|
||||
# 使用 fput_object 上传文件
|
||||
# content_type 对于视频流播放非常重要，MP4 文件应使用 'video/mp4'
|
||||
result = self.minio_client.fput_object(
|
||||
bucket_name=BUCKET_NAME,
|
||||
object_name=OBJECT_NAME,
|
||||
file_path=LOCAL_FILE_PATH,
|
||||
content_type="video/mp4" # 设置正确的内容类型
|
||||
)
|
||||
|
||||
print(f"✅ 文件 '{LOCAL_FILE_PATH}' 已成功上传至 MinIO:")
|
||||
print(f" 对象名: {result.object_name}")
|
||||
print(f" Etag: {result.etag}")
|
||||
|
||||
except S3Error as e:
|
||||
print(f"❌ MinIO 操作失败: {e}")
|
||||
except FileNotFoundError:
|
||||
print(f"❌ 找不到本地文件: {LOCAL_FILE_PATH}")
|
||||
except Exception as e:
|
||||
print(f"❌ 发生未知错误: {e}")
|
||||
|
||||
def upload_in_memory_file_to_comfyui(self, in_memory_file, filename):
|
||||
upload_url = f"http://{COMFYUI_SERVER_ADDRESS}/upload/image"
|
||||
|
||||
data = {
|
||||
"overwrite": "true",
|
||||
"type": "input"
|
||||
}
|
||||
|
||||
# 构建 multipart/form-data: (文件名, 内存文件对象, MIME 类型)
|
||||
# MIME 类型可以根据实际图片类型修改，这里使用常见的 png/jpeg
|
||||
mime_type = 'image/png' if filename.lower().endswith('.png') else 'image/jpeg'
|
||||
|
||||
files = {
|
||||
'image': (filename, in_memory_file, mime_type)
|
||||
}
|
||||
|
||||
print(f"⬆️ 正在上传图片 ({filename}) 到 ComfyUI...")
|
||||
try:
|
||||
comfyui_response = requests.post(upload_url, data=data, files=files)
|
||||
comfyui_response.raise_for_status()
|
||||
|
||||
result = comfyui_response.json()
|
||||
uploaded_name = result.get('name')
|
||||
|
||||
print(f"🎉 ComfyUI 上传成功! 服务器文件名: {uploaded_name}")
|
||||
return uploaded_name
|
||||
|
||||
except requests.exceptions.RequestException as e:
|
||||
print(f"❌ ComfyUI 上传失败: {e}")
|
||||
print(f" 响应内容: {comfyui_response.text}")
|
||||
return None
|
||||
|
||||
def process_and_upload_comfyui_video(
|
||||
self,
|
||||
filename: str,
|
||||
subfolder: str,
|
||||
prompt_id: str,
|
||||
):
|
||||
"""
|
||||
完整的自动化流程：获取 ComfyUI 视频 -> 转换 GIF 并提取帧 -> 上传所有结果到 MinIO。
|
||||
"""
|
||||
# 1. 从 ComfyUI 获取视频二进制数据
|
||||
mp4_bytes = self.get_comfyui_video_bytes(filename, subfolder)
|
||||
if not mp4_bytes:
|
||||
return
|
||||
|
||||
# 2. 准备进行视频处理
|
||||
# moviepy 不支持直接使用 bytes，需要将 bytes 写入一个 BytesIO 或临时文件
|
||||
# 为了避免写磁盘，我们将使用 BytesIO，但 MoviePy 内部依赖 FFmpeg，有时需要一个可寻址的本地文件路径。
|
||||
# 最可靠且避免写本地的方案是在内存中操作，然后将结果上传。
|
||||
|
||||
# ⚠️ 关键点：将 mp4_bytes 写入 BytesIO 以模拟文件，供 moviepy 读取
|
||||
|
||||
# 定义输出对象名
|
||||
|
||||
output_base_name = uuid.uuid4().hex
|
||||
MP4_OBJECT = f"{self.user_id}/pose_transform_video/{prompt_id}/{output_base_name}.mp4"
|
||||
GIF_OBJECT = f"{self.user_id}/pose_transform_gif/{prompt_id}/{output_base_name}.gif"
|
||||
FRAME_OBJECT = f"{self.user_id}/pose_transform_first_img/{prompt_id}/{output_base_name}_frame.jpg"
|
||||
|
||||
# --- 视频处理和帧提取 ---
|
||||
try:
|
||||
# 1. 创建一个临时的 MP4 文件路径
|
||||
# delete=False 确保文件在关闭后仍然存在，直到我们手动删除
|
||||
with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as tmp_file:
|
||||
tmp_file.write(mp4_bytes) # 将内存数据写入磁盘
|
||||
temp_mp4_path = tmp_file.name # 记录文件路径
|
||||
|
||||
print(f"临时文件已写入: {temp_mp4_path}")
|
||||
|
||||
# 2. 使用 moviepy 打开临时文件 (传入文件路径字符串)
|
||||
clip = VideoFileClip(temp_mp4_path)
|
||||
|
||||
# --- 在这里进行所有的视频处理和提取操作 ---
|
||||
|
||||
# 提取第一帧 (保持原尺寸)
|
||||
frame_array = clip.get_frame(t=0.0)
|
||||
image = Image.fromarray(frame_array)
|
||||
|
||||
frame_stream = io.BytesIO()
|
||||
image.save(frame_stream, 'JPEG')
|
||||
frame_bytes = frame_stream.getvalue()
|
||||
|
||||
print("✅ 成功提取第一帧图片。")
|
||||
|
||||
# 视频转 GIF (使用另一个临时文件来保存 GIF)
|
||||
temp_gif_path = ""
|
||||
with tempfile.NamedTemporaryFile(suffix=".gif", delete=False) as tmp_file:
|
||||
temp_gif_path = tmp_file.name
|
||||
|
||||
target_fps = int(round(clip.fps)) if clip.fps else 24
|
||||
clip.write_gif(temp_gif_path, fps=target_fps)
|
||||
|
||||
with open(temp_gif_path, 'rb') as f:
|
||||
gif_bytes = f.read()
|
||||
|
||||
print("✅ 成功生成 GIF。")
|
||||
|
||||
# 返回结果 (例如: 上传到 MinIO)
|
||||
# return mp4_bytes, gif_bytes, frame_bytes
|
||||
|
||||
# -----------------------------------------------
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ 视频处理或文件操作失败: {e}")
|
||||
# 在失败时，也尝试清理文件
|
||||
|
||||
finally:
|
||||
# 3. 清理临时文件 (非常重要!)
|
||||
if os.path.exists(temp_mp4_path):
|
||||
os.remove(temp_mp4_path)
|
||||
print(f"🗑️ 已删除临时 MP4 文件: {temp_mp4_path}")
|
||||
|
||||
if 'temp_gif_path' in locals() and os.path.exists(temp_gif_path):
|
||||
os.remove(temp_gif_path)
|
||||
print(f"🗑️ 已删除临时 GIF 文件: {temp_gif_path}")
|
||||
|
||||
# 3. 上传所有结果到 MinIO
|
||||
|
||||
# 上传原始 MP4
|
||||
self.upload_stream_to_minio(mp4_bytes, MP4_OBJECT, "video/mp4")
|
||||
|
||||
# 上传生成的 GIF
|
||||
self.upload_stream_to_minio(gif_bytes, GIF_OBJECT, "image/gif")
|
||||
|
||||
# 上传第一帧图片
|
||||
self.upload_stream_to_minio(frame_bytes, FRAME_OBJECT, "image/jpeg")
|
||||
|
||||
return "\n🎉 所有任务完成！"
|
||||
|
||||
# --- 辅助函数：提交任务到队列 ---
|
||||
def queue_prompt(self, prompt, client_id):
|
||||
"""向 ComfyUI 提交工作流提示。"""
|
||||
p = {"prompt": prompt, "client_id": client_id, "prompt_id": client_id}
|
||||
data = json.dumps(p).encode('utf-8')
|
||||
|
||||
# 提交任务到 /prompt 端点
|
||||
response = requests.post(f"http://{COMFYUI_SERVER_ADDRESS}/prompt", data=data)
|
||||
print(f"-------------{response.text}")
|
||||
print(f"------------{client_id}")
|
||||
|
||||
if response.status_code == 200:
|
||||
return response.json()
|
||||
else:
|
||||
print(f"提交任务失败，状态码: {response.status_code}")
|
||||
print(response.text)
|
||||
return None
|
||||
|
||||
def get_history(self, prompt_id):
|
||||
"""通过 prompt_id 获取任务的历史记录和输出。"""
|
||||
# 查询 /history/{prompt_id} 端点
|
||||
response = requests.get(f"http://{COMFYUI_SERVER_ADDRESS}/history/{prompt_id}")
|
||||
|
||||
if response.status_code == 200:
|
||||
return response.json()
|
||||
else:
|
||||
print(f"获取历史记录失败，状态码: {response.status_code}")
|
||||
return None
|
||||
|
||||
def poll_history(self, prompt_id, interval_seconds=5):
|
||||
"""步骤 2: 轮询 /history/{prompt_id} 检查任务是否完成"""
|
||||
url = f"http://{COMFYUI_SERVER_ADDRESS}/history/{prompt_id}"
|
||||
|
||||
print(f"⏳ 开始轮询状态 (间隔 {interval_seconds} 秒)...")
|
||||
|
||||
while True:
|
||||
time.sleep(interval_seconds)
|
||||
|
||||
try:
|
||||
response = requests.get(url)
|
||||
# 任务未完成时，ComfyUI可能会返回404或空响应，我们只关注成功响应
|
||||
if response.status_code == 200:
|
||||
history_data = response.json()
|
||||
|
||||
# ComfyUI 返回的历史记录结构是 {prompt_id: {outputs: ...}}
|
||||
if prompt_id in history_data:
|
||||
print("🎉 任务已完成!")
|
||||
return history_data[prompt_id]['outputs']
|
||||
|
||||
print("⏳ 任务仍在执行或等待中...")
|
||||
|
||||
except requests.exceptions.RequestException as e:
|
||||
# 处理可能的连接错误，但通常不会在内部轮询中发生
|
||||
print(f"⚠️ 轮询时发生错误: {e}")
|
||||
pass
|
||||
|
||||
def get_comfyui_video_bytes(self, filename: str, subfolder: str, file_type: str = "output"):
|
||||
"""
|
||||
从 ComfyUI 的 /view 端点获取视频文件的二进制数据。
|
||||
|
||||
参数:
|
||||
- filename: 视频文件名 (例如: 'ComfyUI_00002_.mp4')
|
||||
- subfolder: 存储子文件夹 (例如: 'ComfyUI_2025-10-31')
|
||||
- file_type: 文件类型 (通常是 'output')
|
||||
|
||||
返回:
|
||||
- 视频文件的二进制内容 (bytes) 或 None。
|
||||
"""
|
||||
url = f"http://{COMFYUI_SERVER_ADDRESS}/view"
|
||||
params = {
|
||||
"filename": filename,
|
||||
"subfolder": subfolder,
|
||||
"type": file_type
|
||||
}
|
||||
|
||||
print(f"📡 正在从 ComfyUI 下载视频: {filename}")
|
||||
try:
|
||||
# 使用 requests.get 下载文件
|
||||
response = requests.get(url, params=params, stream=True)
|
||||
response.raise_for_status() # 检查 HTTP 错误
|
||||
|
||||
# 返回文件的完整二进制内容
|
||||
return response.content
|
||||
|
||||
except requests.exceptions.RequestException as e:
|
||||
print(f"❌ 从 ComfyUI 获取视频失败: {e}")
|
||||
return None
|
||||
|
||||
def upload_stream_to_minio(self, video_bytes: bytes, object_name: str, content_type: str):
|
||||
"""从内存流上传数据到 MinIO。"""
|
||||
print(f"☁️ 正在上传对象到 MinIO: {object_name}")
|
||||
try:
|
||||
|
||||
data_stream = io.BytesIO(video_bytes)
|
||||
|
||||
result = self.minio_client.put_object(
|
||||
bucket_name='aida-users',
|
||||
object_name=object_name,
|
||||
data=data_stream,
|
||||
length=len(video_bytes),
|
||||
content_type=content_type
|
||||
)
|
||||
print(f"✅ MinIO 上传成功: {result.object_name}")
|
||||
return True
|
||||
except S3Error as e:
|
||||
print(f"❌ MinIO 上传失败: {e}")
|
||||
return False
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
request_data = PoseTransformModel(
|
||||
tasks_id="1515151123-89111",
|
||||
image_url="aida-results/result_0000b606-1902-11ef-9424-0242ac180002.png",
|
||||
pose_id="6"
|
||||
)
|
||||
|
||||
server = ComfyUIServerI2V(request_data)
|
||||
print(server.get_result())
|
||||
Reference in New Issue
Block a user