eachlabs-product-visuals

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EachLabs Product Visuals

EachLabs 产品视觉生成

Generate professional product photography, e-commerce visuals, and product videos using EachLabs AI models.

使用EachLabs AI模型生成专业的产品摄影图、电商视觉素材以及产品视频。

Authentication

身份验证

Header: X-API-Key: <your-api-key>

Set the

EACHLABS_API_KEY

environment variable. Get your key at eachlabs.ai.

Header: X-API-Key: <your-api-key>

设置

EACHLABS_API_KEY

环境变量。可在eachlabs.ai获取您的密钥。

Recommended Models

推荐模型

E-Commerce Specific

电商专用

Task	Model	Slug
Product photoshoot	Product to Photoshoot	`product-to-photoshoot`
Product on model	Product Photo to Modelshoot	`product-photo-to-modelshoot`
Color variations	Product Colors	`product-colors`
Food photography	Food Photos	`food-photos`
Background removal	Product Background Remover	`product-backround-remover`
Image upscaling	Product Photo Upscaler	`product-photo-upscaler`
Home scene placement	Product Home View	`product-home-view`
Product shot	Bria Product Shot	`bria-product-shot`
Product shoot	Product Shoot	`product-shoot`
Product arc shot	Eachlabs Product Arc Shot	`eachlabs-product-arc-shot-v1`
Product zoom in	Eachlabs Product Zoom In	`eachlabs-product-zoom-in-v1`

任务	模型	标识（Slug）
产品摄影	Product to Photoshoot	`product-to-photoshoot`
产品上模特图	Product Photo to Modelshoot	`product-photo-to-modelshoot`
颜色变体	Product Colors	`product-colors`
美食摄影	Food Photos	`food-photos`
背景移除	Product Background Remover	`product-backround-remover`
图片放大	Product Photo Upscaler	`product-photo-upscaler`
家居场景放置	Product Home View	`product-home-view`
产品拍摄	Bria Product Shot	`bria-product-shot`
产品拍摄	Product Shoot	`product-shoot`
产品弧形拍摄	Eachlabs Product Arc Shot	`eachlabs-product-arc-shot-v1`
产品拉近拍摄	Eachlabs Product Zoom In	`eachlabs-product-zoom-in-v1`

General Purpose

通用型

Task	Model	Slug
Product photography	GPT Image v1.5	`gpt-image-v1-5-text-to-image`
Background replacement	GPT Image v1.5 Edit	`gpt-image-v1-5-edit`
Product editing	Flux 2 Turbo Edit	`flux-2-turbo-edit`
Multi-angle views	Qwen Image Edit	`qwen-image-edit-2511-multiple-angles`
Background removal	Rembg Enhance	`rembg-enhance`
Background removal	Eachlabs BG Remover	`eachlabs-bg-remover-v1`
Image upscaling	Eachlabs Upscaler Pro	`eachlabs-image-upscaler-pro-v1`
Ad inpainting	SDXL Ad Inpaint	`sdxl-ad-inpaint`
Custom product style	Z Image Trainer	`z-image-trainer`
Product video	Pixverse v5.6 Image-to-Video	`pixverse-v5-6-image-to-video`

任务	模型	标识（Slug）
产品摄影	GPT Image v1.5	`gpt-image-v1-5-text-to-image`
背景替换	GPT Image v1.5 Edit	`gpt-image-v1-5-edit`
产品编辑	Flux 2 Turbo Edit	`flux-2-turbo-edit`
多角度视图	Qwen Image Edit	`qwen-image-edit-2511-multiple-angles`
背景移除	Rembg Enhance	`rembg-enhance`
背景移除	Eachlabs BG Remover	`eachlabs-bg-remover-v1`
图片放大	Eachlabs Upscaler Pro	`eachlabs-image-upscaler-pro-v1`
广告修复	SDXL Ad Inpaint	`sdxl-ad-inpaint`
自定义产品风格	Z Image Trainer	`z-image-trainer`
产品视频	Pixverse v5.6 Image-to-Video	`pixverse-v5-6-image-to-video`

Prediction Flow

预测流程

Check model
```
GET https://api.eachlabs.ai/v1/model?slug=<slug>
```
— validates the model exists and returns the
```
request_schema
```
with exact input parameters. Always do this before creating a prediction to ensure correct inputs.
POST
```
https://api.eachlabs.ai/v1/prediction
```
with model slug, version
```
"0.0.1"
```
, and input matching the schema

Poll

GET https://api.eachlabs.ai/v1/prediction/{id}

until status is

"success"

"failed"

Extract output URL from response

检查模型
```
GET https://api.eachlabs.ai/v1/model?slug=<slug>
```
— 验证模型是否存在，并返回包含精确输入参数的
```
request_schema
```
。创建预测前务必执行此步骤，以确保输入正确。
提交请求 向
```
https://api.eachlabs.ai/v1/prediction
```
发送POST请求，携带模型标识、版本
```
"0.0.1"
```
以及符合schema的输入内容

轮询结果 调用

GET https://api.eachlabs.ai/v1/prediction/{id}

轮询，直到状态变为

"success"

或

"failed"

提取输出 从响应中获取输出URL

Workflows

工作流示例

Product on White Background

产品纯白背景图

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Place this product on a clean white background with soft studio lighting and subtle shadows",
      "image_urls": ["https://example.com/product.jpg"],
      "background": "opaque",
      "quality": "high"
    }
  }'

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Place this product on a clean white background with soft studio lighting and subtle shadows",
      "image_urls": ["https://example.com/product.jpg"],
      "background": "opaque",
      "quality": "high"
    }
  }'

Lifestyle Scene Generation

生活场景图生成

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Place this coffee mug on a cozy wooden desk in a modern home office with warm morning light, lifestyle photography",
      "image_urls": ["https://example.com/mug.jpg"],
      "quality": "high"
    }
  }'

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Place this coffee mug on a cozy wooden desk in a modern home office with warm morning light, lifestyle photography",
      "image_urls": ["https://example.com/mug.jpg"],
      "quality": "high"
    }
  }'

Multi-Angle Product Views

产品多角度视图

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "qwen-image-edit-2511-multiple-angles",
    "version": "0.0.1",
    "input": {
      "image_urls": ["https://example.com/product.jpg"],
      "horizontal_angle": 45,
      "vertical_angle": 15,
      "zoom": 5
    }
  }'

Generate multiple angles by running separate predictions with different

horizontal_angle

values (0, 45, 90, 135, 180, 225, 270, 315 for a full 360).

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "qwen-image-edit-2511-multiple-angles",
    "version": "0.0.1",
    "input": {
      "image_urls": ["https://example.com/product.jpg"],
      "horizontal_angle": 45,
      "vertical_angle": 15,
      "zoom": 5
    }
  }'

通过使用不同的

horizontal_angle

值（0、45、90、135、180、225、270、315可实现完整360度视图），运行独立预测来生成多个角度的图片。

Product with Transparent Background

产品透明背景图

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Remove the background from this product image",
      "image_urls": ["https://example.com/product.jpg"],
      "background": "transparent",
      "output_format": "png"
    }
  }'

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Remove the background from this product image",
      "image_urls": ["https://example.com/product.jpg"],
      "background": "transparent",
      "output_format": "png"
    }
  }'

Product Video from Image

从图片生成产品视频

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "pixverse-v5-6-image-to-video",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/product-studio.jpg",
      "prompt": "Slow cinematic camera rotation around the product with dramatic studio lighting",
      "duration": "5",
      "resolution": "1080p"
    }
  }'

bash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "pixverse-v5-6-image-to-video",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/product-studio.jpg",
      "prompt": "Slow cinematic camera rotation around the product with dramatic studio lighting",
      "duration": "5",
      "resolution": "1080p"
    }
  }'

Prompt Tips for Products

产品提示词技巧

Specify lighting: "soft studio lighting", "dramatic side lighting", "natural window light"
Mention surface: "marble surface", "wooden table", "clean white background"
Include shadows: "soft shadows", "reflection on surface"
Add context: "lifestyle setting", "in-use shot", "flat lay arrangement"
For batch catalog shots, maintain consistency with similar prompts

指定光线："soft studio lighting"（柔和工作室灯光）、"dramatic side lighting"（戏剧性侧光）、"natural window light"（自然窗户光）
提及表面："marble surface"（大理石表面）、"wooden table"（木质桌子）、"clean white background"（干净纯白背景）
包含阴影："soft shadows"（柔和阴影）、"reflection on surface"（表面倒影）
添加场景："lifestyle setting"（生活场景）、"in-use shot"（使用场景图）、"flat lay arrangement"（平铺构图）
批量生成目录图时，使用相似提示词以保持风格一致

Batch Processing

批量处理

For catalog-scale processing, create multiple predictions in parallel by sending separate POST requests for each product. Poll each prediction independently.

对于目录级别的批量处理，可通过为每个产品发送独立的POST请求，并行创建多个预测任务。分别轮询每个预测的结果。

Parameter Reference

参数参考

See the eachlabs-image-generation and eachlabs-video-generation references for complete model parameters.

完整的模型参数请查看eachlabs-image-generation和eachlabs-video-generation参考文档。