---

name: eachlabs-product-visuals description: Generate professional e-commerce product photography and videos using EachLabs AI models. Product shots, background replacement, lifestyle scenes, and 360-degree views. Use when the user needs product images for e-commerce or marketing. metadata: author: eachlabs version: "1.0"

EachLabs Product Visuals

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

Authentication

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

Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.

Recommended Models

E-Commerce Specific

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

General Purpose

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

Prediction Flow

1. 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.
2. POST https://api.eachlabs.ai/v1/prediction with model slug, version "0.0.1", and input matching the schema
3. Poll GET https://api.eachlabs.ai/v1/prediction/{id} until status is "success" or "failed"
4. Extract output URL from response

Workflows

Product on White Background

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

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

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).

Product with Transparent Background

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

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

• 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

Batch Processing

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

Parameter Reference

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