feat 1.design 取消进度模式测试
2.结果以stream发送到java 3.新增配饰类 fix
This commit is contained in:
@@ -2,13 +2,13 @@ import json
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import logging
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import logging
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import os
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import os
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from fastapi import APIRouter, HTTPException, UploadFile, File, Form
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from fastapi import APIRouter, HTTPException, UploadFile, File, Form, BackgroundTasks
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from app.schemas.design import DesignModel, DesignProgressModel, ModelProgressModel, DBGConfigModel
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from app.schemas.design import DesignModel, DesignProgressModel, ModelProgressModel, DBGConfigModel
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from app.schemas.response_template import ResponseModel
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from app.schemas.response_template import ResponseModel
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from app.service.design.model_process_service import model_transpose
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from app.service.design.model_process_service import model_transpose
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from app.service.design_batch.service import start_design_batch_generate
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from app.service.design_batch.service import start_design_batch_generate
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from app.service.design_fast.design_generate import design_generate
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from app.service.design_fast.design_generate import design_generate, design_generate_v2
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from app.service.design_fast.utils.redis_utils import Redis
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from app.service.design_fast.utils.redis_utils import Redis
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router = APIRouter()
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router = APIRouter()
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@@ -16,7 +16,7 @@ logger = logging.getLogger()
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@router.post("/design")
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@router.post("/design")
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def design(request_data: DesignModel):
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def design(request_data: DesignModel, background_tasks: BackgroundTasks):
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"""
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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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创建一个具有以下参数的请求体:
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示例参数:
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示例参数:
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@@ -196,6 +196,182 @@ def design(request_data: DesignModel):
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return ResponseModel(data=data)
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return ResponseModel(data=data)
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@router.post("/design_v2")
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async def design_v2(request_data: DesignModel, 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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示例参数:
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{
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"objects": [
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{
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"basic": {
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"body_point_test": {
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"waistband_right": [
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200,
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241
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],
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"hand_point_right": [
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223,
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297
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],
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"waistband_left": [
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112,
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241
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],
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"hand_point_left": [
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92,
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305
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],
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"shoulder_left": [
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99,
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116
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],
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"shoulder_right": [
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215,
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116
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]
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},
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"layer_order": true,
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"scale_bag": 0.7,
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"scale_earrings": 0.16,
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"self_template": true,
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"single_overall": "overall",
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"switch_category": ""
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},
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"items": [
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{
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"businessId": 270372,
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"color": "30 28 28",
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"image_id": 69780,
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"offset": [
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0,
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0
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],
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"path": "aida-sys-image/images/female/trousers/0825000630.jpg",
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"print": {
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"element": {
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"element_angle_list": [],
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"element_path_list": [],
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"element_scale_list": [],
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"location": []
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},
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"overall": {
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"location": [],
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"print_angle_list": [],
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"print_path_list": [],
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"print_scale_list": []
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},
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"single": {
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"location": [],
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"print_angle_list": [],
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"print_path_list": [],
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"print_scale_list": []
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}
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},
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"priority": 10,
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"resize_scale": [
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1.0,
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1.0
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],
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"type": "Trousers"
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},
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{
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"businessId": 270373,
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"color": "30 28 28",
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"image_id": 98243,
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"offset": [
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0,
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0
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],
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"path": "aida-sys-image/images/female/blouse/0902003811.jpg",
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"print": {
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"element": {
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"element_angle_list": [],
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"element_path_list": [],
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"element_scale_list": [],
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"location": []
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},
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"overall": {
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"location": [],
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"print_angle_list": [],
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"print_path_list": [],
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"print_scale_list": []
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},
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"single": {
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"location": [],
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"print_angle_list": [],
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"print_path_list": [],
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"print_scale_list": []
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}
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},
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"priority": 11,
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"resize_scale": [
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1.0,
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1.0
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],
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"type": "Blouse"
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},
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{
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"businessId": 270374,
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"color": "172 68 68",
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"image_id": 98244,
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"offset": [
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0,
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0
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],
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"path": "aida-sys-image/images/female/outwear/0825000410.jpg",
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"print": {
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"element": {
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"element_angle_list": [],
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"element_path_list": [],
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"element_scale_list": [],
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"location": []
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},
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"overall": {
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"location": [],
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"print_angle_list": [],
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"print_path_list": [],
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"print_scale_list": []
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},
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"single": {
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"location": [],
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"print_angle_list": [],
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"print_path_list": [],
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"print_scale_list": []
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}
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},
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"priority": 12,
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"resize_scale": [
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1.0,
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1.0
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],
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"transparent":{
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"mask_url":"test/transparent_test/transparent_mask.png",
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"scale":0.1
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},
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"type": "Outwear"
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},
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{
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"body_path": "aida-sys-image/models/female/5bdfe7ca-64eb-44e4-b03d-8e517520c795.png",
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"image_id": 96090,
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"type": "Body"
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}
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]
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}
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],
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"process_id": "83"
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}
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"""
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try:
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# 异步
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logger.info(f"generate_image request item is : @@@@@@:{json.dumps(request_data.dict())}")
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background_tasks.add_task(design_generate_v2, request_data)
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except Exception as e:
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logger.warning(f"design 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.post('/get_progress')
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@router.post('/get_progress')
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def get_progress(request_data: DesignProgressModel):
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def get_progress(request_data: DesignProgressModel):
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"""
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"""
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@@ -5,8 +5,8 @@ import time
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from minio import Minio
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from minio import Minio
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from app.core.config import *
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from app.core.config import *
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from app.service.design_fast.item import BodyItem, TopItem, BottomItem
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from app.service.design_fast.item import BodyItem, TopItem, BottomItem, AccessoriesItem
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from app.service.design_fast.utils.organize import organize_body, organize_clothing
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from app.service.design_fast.utils.organize import organize_body, organize_clothing, organize_accessories
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from app.service.design_fast.utils.progress import final_progress, update_progress
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from app.service.design_fast.utils.progress import final_progress, update_progress
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from app.service.design_fast.utils.synthesis_item import synthesis, synthesis_single, update_base_size_priority
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from app.service.design_fast.utils.synthesis_item import synthesis, synthesis_single, update_base_size_priority
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from app.service.utils.decorator import RunTime
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from app.service.utils.decorator import RunTime
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@@ -26,9 +26,14 @@ def process_item(item, basic):
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elif item['type'].lower() in ['blouse', 'outwear', 'dress', 'tops']:
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elif item['type'].lower() in ['blouse', 'outwear', 'dress', 'tops']:
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top_server = TopItem(data=item, basic=basic, minio_client=minio_client)
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top_server = TopItem(data=item, basic=basic, minio_client=minio_client)
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item_data = top_server.process()
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item_data = top_server.process()
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else:
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elif item['type'].lower() in ['skirt', 'trousers', 'bottoms']:
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bottom_server = BottomItem(data=item, basic=basic, minio_client=minio_client)
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bottom_server = BottomItem(data=item, basic=basic, minio_client=minio_client)
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item_data = bottom_server.process()
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item_data = bottom_server.process()
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elif item['type'].lower() in ['accessories']:
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bottom_server = AccessoriesItem(data=item, basic=basic, minio_client=minio_client)
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item_data = bottom_server.process()
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else:
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raise NotImplementedError(f"Item type {item['type']} not implemented")
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return item_data
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return item_data
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@@ -38,6 +43,10 @@ def process_layer(item, layers):
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body_layer = organize_body(item)
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body_layer = organize_body(item)
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layers.append(body_layer)
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layers.append(body_layer)
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return item['body_image'].size
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return item['body_image'].size
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elif item['name'] == 'accessories':
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front_layer, back_layer = organize_accessories(item)
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layers.append(front_layer)
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layers.append(back_layer)
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else:
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else:
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front_layer, back_layer = organize_clothing(item)
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front_layer, back_layer = organize_clothing(item)
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layers.append(front_layer)
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layers.append(front_layer)
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@@ -57,7 +66,7 @@ def design_generate(request_data):
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def process_object(step, object):
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def process_object(step, object):
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nonlocal active_threads
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nonlocal active_threads
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basic = object['basic']
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basic = object['basic']
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items_response = {'layers': []}
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items_response = {'layers': [], 'objectSign': object['objectSign'] if 'objectSign' in object.keys() else ""}
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if basic['single_overall'] == "overall":
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if basic['single_overall'] == "overall":
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item_results = []
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item_results = []
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for item in object['items']:
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for item in object['items']:
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@@ -126,6 +135,136 @@ def design_generate(request_data):
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return object_response
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return object_response
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@RunTime
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def design_generate_v2(request_data):
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objects_data = request_data.dict()['objects']
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# process_id = request_data.dict()['process_id']
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# object_response = {}
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threads = []
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active_threads = 0
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lock = threading.Lock()
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# total = len(objects_data)
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def process_object(step, object):
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nonlocal active_threads
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basic = object['basic']
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items_response = {'layers': [], 'objectSign': object['objectSign'] if 'objectSign' in object.keys() else ""}
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if basic['single_overall'] == "overall":
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item_results = []
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for item in object['items']:
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item_results.append(process_item(item, basic))
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layers = []
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body_size = None
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for item in item_results:
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body_size = process_layer(item, layers)
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layers = sorted(layers, key=lambda s: s.get("priority", float('inf')))
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layers, new_size = update_base_size_priority(layers, body_size)
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for lay in layers:
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items_response['layers'].append({
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'image_category': "body" if lay['name'] == 'mannequin' else lay['name'],
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'position': lay['position'],
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'priority': lay.get("priority", None),
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'resize_scale': lay['resize_scale'] if "resize_scale" in lay.keys() else None,
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'image_size': lay['image'] if lay['image'] is None else lay['image'].size,
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'gradient_string': lay['gradient_string'] if 'gradient_string' in lay.keys() else "",
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'mask_url': lay['mask_url'],
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'image_url': lay['image_url'] if 'image_url' in lay.keys() else None,
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'pattern_image_url': lay['pattern_image_url'] if 'pattern_image_url' in lay.keys() else None,
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# 'back_perspective_url': lay['back_perspective_url'] if 'back_perspective_url' in lay.keys() else None,
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})
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items_response['synthesis_url'] = synthesis(layers, new_size, basic)
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else:
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item_result = process_item(object['items'][0], basic)
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items_response['layers'].append({
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'image_category': f"{item_result['name']}_front",
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'image_size': item_result['back_image'].size if item_result['back_image'] else None,
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'position': None,
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'priority': 0,
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'image_url': item_result['front_image_url'],
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'mask_url': item_result['mask_url'],
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"gradient_string": item_result['gradient_string'] if 'gradient_string' in item_result.keys() else "",
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'pattern_image_url': item_result['pattern_image_url'] if 'pattern_image_url' in item_result.keys() else None,
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})
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items_response['layers'].append({
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'image_category': f"{item_result['name']}_back",
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'image_size': item_result['front_image'].size if item_result['front_image'] else None,
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'position': None,
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'priority': 0,
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'image_url': item_result['back_image_url'],
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'mask_url': item_result['mask_url'],
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"gradient_string": item_result['gradient_string'] if 'gradient_string' in item_result.keys() else "",
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'pattern_image_url': item_result['pattern_image_url'] if 'pattern_image_url' in item_result.keys() else None,
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})
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items_response['synthesis_url'] = synthesis_single(item_result['front_image'], item_result['back_image'])
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# 发送结果给java端
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url = "https://3998-117-143-125-51.ngrok-free.app/api/third/party/receiveDesignResults"
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headers = {
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'Accept': "*/*",
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'Accept-Encoding': "gzip, deflate, br",
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'User-Agent': "PostmanRuntime-ApipostRuntime/1.1.0",
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'Connection': "keep-alive",
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'Content-Type': "application/json"
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}
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response = post_request(url, json_data=items_response, headers=headers)
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if response:
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# 打印结果
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logger.info(response.text)
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logger.info(items_response)
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# update_progress(process_id, total)
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# with lock:
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# object_response[step] = items_response
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# active_threads -= 1
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for step, object in enumerate(objects_data):
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t = threading.Thread(target=process_object, args=(step, object))
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threads.append(t)
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t.start()
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# with lock:
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# active_threads += 1
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# for t in threads:
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# t.join()
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# final_progress(process_id)
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# return object_response
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import requests
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def post_request(url, data=None, json_data=None, headers=None, auth=None, timeout=5):
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"""
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||||||
|
发送POST请求的封装函数
|
||||||
|
|
||||||
|
:param url: 接口的URL地址
|
||||||
|
:param data: 要发送的数据(字典形式,用于表单数据等,会自动编码)
|
||||||
|
:param json_data: 要发送的JSON数据(字典形式,会自动转换为JSON字符串)
|
||||||
|
:param headers: 请求头字典
|
||||||
|
:param auth: 认证信息(如 ('username', 'password') 形式用于基本认证)
|
||||||
|
:param timeout: 超时时间,单位为秒
|
||||||
|
:return: 返回接口的响应对象
|
||||||
|
"""
|
||||||
|
try:
|
||||||
|
response = requests.post(
|
||||||
|
url,
|
||||||
|
data=data,
|
||||||
|
json=json_data,
|
||||||
|
headers=headers,
|
||||||
|
auth=auth,
|
||||||
|
timeout=timeout
|
||||||
|
)
|
||||||
|
response.raise_for_status() # 如果请求失败,抛出异常
|
||||||
|
return response
|
||||||
|
except requests.RequestException as e:
|
||||||
|
print(f"POST请求出错: {e}")
|
||||||
|
return None
|
||||||
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
object_data = {
|
object_data = {
|
||||||
"objects": [
|
"objects": [
|
||||||
|
|||||||
@@ -1,4 +1,4 @@
|
|||||||
from app.service.design_fast.pipeline import LoadImage, KeyPoint, Segmentation, Color, PrintPainting, Scaling, Split, LoadBodyImage, ContourDetection, BackPerspective
|
from app.service.design_fast.pipeline import LoadImage, KeyPoint, Segmentation, Color, PrintPainting, Scaling, Split, LoadBodyImage, ContourDetection
|
||||||
|
|
||||||
|
|
||||||
class BaseItem:
|
class BaseItem:
|
||||||
@@ -9,6 +9,27 @@ class BaseItem:
|
|||||||
self.result.update(basic)
|
self.result.update(basic)
|
||||||
|
|
||||||
|
|
||||||
|
class AccessoriesItem(BaseItem):
|
||||||
|
def __init__(self, data, basic, minio_client):
|
||||||
|
super().__init__(data, basic)
|
||||||
|
self.Accessories_pipeline = [
|
||||||
|
LoadImage(minio_client),
|
||||||
|
# KeyPoint(),
|
||||||
|
ContourDetection(),
|
||||||
|
# Segmentation(minio_client),
|
||||||
|
# BackPerspective(minio_client),
|
||||||
|
Color(minio_client),
|
||||||
|
PrintPainting(minio_client),
|
||||||
|
Scaling(),
|
||||||
|
Split(minio_client)
|
||||||
|
]
|
||||||
|
|
||||||
|
def process(self):
|
||||||
|
for item in self.Accessories_pipeline:
|
||||||
|
self.result = item(self.result)
|
||||||
|
return self.result
|
||||||
|
|
||||||
|
|
||||||
class TopItem(BaseItem):
|
class TopItem(BaseItem):
|
||||||
def __init__(self, data, basic, minio_client):
|
def __init__(self, data, basic, minio_client):
|
||||||
super().__init__(data, basic)
|
super().__init__(data, basic)
|
||||||
|
|||||||
@@ -74,6 +74,8 @@ class LoadImage:
|
|||||||
keypoint = 'head_point'
|
keypoint = 'head_point'
|
||||||
elif name == 'earring':
|
elif name == 'earring':
|
||||||
keypoint = 'ear_point'
|
keypoint = 'ear_point'
|
||||||
|
elif name == 'accessories':
|
||||||
|
keypoint = "accessories"
|
||||||
else:
|
else:
|
||||||
raise KeyError(f"{name} does not belong to item category list: blouse, outwear, dress, trousers, skirt, "
|
raise KeyError(f"{name} does not belong to item category list: blouse, outwear, dress, trousers, skirt, "
|
||||||
f"bag, shoes, hairstyle, earring.")
|
f"bag, shoes, hairstyle, earring.")
|
||||||
|
|||||||
@@ -18,7 +18,7 @@ class Scaling:
|
|||||||
-
|
-
|
||||||
int(result['body_point_test'][result['keypoint'] + '_right'][0])) ** 2 + 1
|
int(result['body_point_test'][result['keypoint'] + '_right'][0])) ** 2 + 1
|
||||||
)
|
)
|
||||||
|
|
||||||
if distance_clo == 0:
|
if distance_clo == 0:
|
||||||
result['scale'] = 1
|
result['scale'] = 1
|
||||||
else:
|
else:
|
||||||
@@ -46,4 +46,6 @@ class Scaling:
|
|||||||
result['scale'] = result['scale_bag']
|
result['scale'] = result['scale_bag']
|
||||||
elif result['keypoint'] == 'ear_point':
|
elif result['keypoint'] == 'ear_point':
|
||||||
result['scale'] = result['scale_earrings']
|
result['scale'] = result['scale_earrings']
|
||||||
|
else:
|
||||||
|
result['scale'] = 1
|
||||||
return result
|
return result
|
||||||
|
|||||||
@@ -21,7 +21,7 @@ class Split(object):
|
|||||||
def __call__(self, result):
|
def __call__(self, result):
|
||||||
try:
|
try:
|
||||||
|
|
||||||
if result['name'] in ('outwear', 'dress', 'blouse', 'skirt', 'trousers', 'tops', 'bottoms'):
|
if result['name'] in ('outwear', 'dress', 'blouse', 'skirt', 'trousers', 'tops', 'bottoms','accessories'):
|
||||||
front_mask = result['front_mask']
|
front_mask = result['front_mask']
|
||||||
back_mask = result['back_mask']
|
back_mask = result['back_mask']
|
||||||
rgba_image = rgb_to_rgba(result['final_image'], front_mask + back_mask)
|
rgba_image = rgb_to_rgba(result['final_image'], front_mask + back_mask)
|
||||||
|
|||||||
@@ -55,6 +55,45 @@ def organize_clothing(layer):
|
|||||||
return front_layer, back_layer
|
return front_layer, back_layer
|
||||||
|
|
||||||
|
|
||||||
|
def organize_accessories(layer):
|
||||||
|
# 起始坐标
|
||||||
|
start_point = (0, 0)
|
||||||
|
# 前片数据
|
||||||
|
front_layer = dict(priority=layer['priority'] if layer.get("layer_order", False) else PRIORITY_DICT.get(f'{layer["name"].lower()}_front', None),
|
||||||
|
name=f'{layer["name"].lower()}_front',
|
||||||
|
image=layer["front_image"],
|
||||||
|
# mask_image=layer['front_mask_image'],
|
||||||
|
image_url=layer['front_image_url'],
|
||||||
|
mask_url=layer['mask_url'],
|
||||||
|
sacle=layer['scale'],
|
||||||
|
clothes_keypoint=(0, 0),
|
||||||
|
position=start_point,
|
||||||
|
resize_scale=layer["resize_scale"],
|
||||||
|
mask=cv2.resize(layer['mask'], layer["front_image"].size),
|
||||||
|
gradient_string=layer['gradient_string'] if 'gradient_string' in layer.keys() else "",
|
||||||
|
pattern_image_url=layer['pattern_image_url'],
|
||||||
|
pattern_image=layer['pattern_image'],
|
||||||
|
# back_perspective_url=layer['back_perspective_url'] if 'back_perspective_url' in layer.keys() else ""
|
||||||
|
)
|
||||||
|
# 后片数据
|
||||||
|
back_layer = dict(priority=-layer.get("priority", 0) if layer.get("layer_order", False) else PRIORITY_DICT.get(f'{layer["name"].lower()}_back', None),
|
||||||
|
name=f'{layer["name"].lower()}_back',
|
||||||
|
image=layer["back_image"],
|
||||||
|
# mask_image=layer['back_mask_image'],
|
||||||
|
image_url=layer['back_image_url'],
|
||||||
|
mask_url=layer['mask_url'],
|
||||||
|
sacle=layer['scale'],
|
||||||
|
clothes_keypoint=(0, 0),
|
||||||
|
position=start_point,
|
||||||
|
resize_scale=layer["resize_scale"],
|
||||||
|
mask=cv2.resize(layer['mask'], layer["front_image"].size),
|
||||||
|
gradient_string=layer['gradient_string'] if 'gradient_string' in layer.keys() else "",
|
||||||
|
pattern_image_url=layer['pattern_image_url'],
|
||||||
|
# back_perspective_url=layer['back_perspective_url'] if 'back_perspective_url' in layer.keys() else ""
|
||||||
|
)
|
||||||
|
return front_layer, back_layer
|
||||||
|
|
||||||
|
|
||||||
def calculate_start_point(keypoint_type, scale, clothes_point, body_point, offset, resize_scale):
|
def calculate_start_point(keypoint_type, scale, clothes_point, body_point, offset, resize_scale):
|
||||||
"""
|
"""
|
||||||
Align left
|
Align left
|
||||||
|
|||||||
@@ -79,9 +79,11 @@ def synthesis(data, size, basic_info):
|
|||||||
_, binary_body_mask = cv2.threshold(body_mask, 127, 255, cv2.THRESH_BINARY)
|
_, binary_body_mask = cv2.threshold(body_mask, 127, 255, cv2.THRESH_BINARY)
|
||||||
top_outer_mask = np.array(binary_body_mask)
|
top_outer_mask = np.array(binary_body_mask)
|
||||||
bottom_outer_mask = np.array(binary_body_mask)
|
bottom_outer_mask = np.array(binary_body_mask)
|
||||||
|
accessories_outer_mask = np.array(binary_body_mask)
|
||||||
|
|
||||||
top = True
|
top = True
|
||||||
bottom = True
|
bottom = True
|
||||||
|
accessories = True
|
||||||
i = len(data)
|
i = len(data)
|
||||||
while i:
|
while i:
|
||||||
i -= 1
|
i -= 1
|
||||||
@@ -109,10 +111,23 @@ def synthesis(data, size, basic_info):
|
|||||||
background = np.zeros_like(top_outer_mask)
|
background = np.zeros_like(top_outer_mask)
|
||||||
background[all_y_start:all_y_end, all_x_start:all_x_end] = sketch_mask[mask_y_start:mask_y_end, mask_x_start:mask_x_end]
|
background[all_y_start:all_y_end, all_x_start:all_x_end] = sketch_mask[mask_y_start:mask_y_end, mask_x_start:mask_x_end]
|
||||||
bottom_outer_mask = background + bottom_outer_mask
|
bottom_outer_mask = background + bottom_outer_mask
|
||||||
|
elif accessories and data[i]['name'] in ['accessories_front']:
|
||||||
|
mask_shape = data[i]['mask'].shape
|
||||||
|
y_offset, x_offset = data[i]['adaptive_position']
|
||||||
|
# 初始化叠加区域的起始和结束位置
|
||||||
|
all_y_start, all_y_end, mask_y_start, mask_y_end = positioning(all_mask_shape=all_mask_shape[0], mask_shape=mask_shape[0], offset=y_offset)
|
||||||
|
all_x_start, all_x_end, mask_x_start, mask_x_end = positioning(all_mask_shape=all_mask_shape[1], mask_shape=mask_shape[1], offset=x_offset)
|
||||||
|
# 将叠加区域赋值为相应的像素值
|
||||||
|
_, sketch_mask = cv2.threshold(data[i]['mask'], 127, 255, cv2.THRESH_BINARY)
|
||||||
|
background = np.zeros_like(top_outer_mask)
|
||||||
|
background[all_y_start:all_y_end, all_x_start:all_x_end] = sketch_mask[mask_y_start:mask_y_end, mask_x_start:mask_x_end]
|
||||||
|
accessories_outer_mask = background + accessories_outer_mask
|
||||||
|
pass
|
||||||
elif bottom is False and top is False:
|
elif bottom is False and top is False:
|
||||||
break
|
break
|
||||||
|
|
||||||
all_mask = cv2.bitwise_or(top_outer_mask, bottom_outer_mask)
|
all_mask = cv2.bitwise_or(top_outer_mask, bottom_outer_mask)
|
||||||
|
all_mask = cv2.bitwise_or(all_mask, accessories_outer_mask)
|
||||||
|
|
||||||
for layer in data:
|
for layer in data:
|
||||||
if layer['image'] is not None:
|
if layer['image'] is not None:
|
||||||
|
|||||||
@@ -82,7 +82,7 @@ if __name__ == '__main__':
|
|||||||
# url = "aida-users/89/sketchboard/female/Dress/e6724ab7-8d3f-4677-abe0-c3e42ab7af85.jpeg"
|
# url = "aida-users/89/sketchboard/female/Dress/e6724ab7-8d3f-4677-abe0-c3e42ab7af85.jpeg"
|
||||||
# url = "aida-users/87/print/956614a2-7e75-4fbe-9ed0-c1831e37a2c9-4-87.png"
|
# url = "aida-users/87/print/956614a2-7e75-4fbe-9ed0-c1831e37a2c9-4-87.png"
|
||||||
# url = "aida-users/89/single_logo/123-89.png"
|
# url = "aida-users/89/single_logo/123-89.png"
|
||||||
url ="aida-results/result_27915298-a656-11ef-b4f3-0242ac150002.png"
|
url ="aida-results/result_461110a5-aba2-11ef-83e7-0826ae3ad6b3.png"
|
||||||
|
|
||||||
# url = "aida-collection-element/12148/Sketchboard/95ea577b-305b-4a62-b30a-39c0dd3ddb3f.png"
|
# url = "aida-collection-element/12148/Sketchboard/95ea577b-305b-4a62-b30a-39c0dd3ddb3f.png"
|
||||||
read_type = "2"
|
read_type = "2"
|
||||||
|
|||||||
Reference in New Issue
Block a user