Tencent SkillHub · AI

Eachlabs Product Visuals

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.

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Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

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Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, references/MODELS.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 0.1.0

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Publisher: eftalyurtseven
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Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

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.

E-Commerce Specific

TaskModelSlugProduct photoshootProduct to Photoshootproduct-to-photoshootProduct on modelProduct Photo to Modelshootproduct-photo-to-modelshootColor variationsProduct Colorsproduct-colorsFood photographyFood Photosfood-photosBackground removalProduct Background Removerproduct-backround-removerImage upscalingProduct Photo Upscalerproduct-photo-upscalerHome scene placementProduct Home Viewproduct-home-viewProduct shotBria Product Shotbria-product-shotProduct shootProduct Shootproduct-shootProduct arc shotEachlabs Product Arc Shoteachlabs-product-arc-shot-v1Product zoom inEachlabs Product Zoom Ineachlabs-product-zoom-in-v1

General Purpose

TaskModelSlugProduct photographyGPT Image v1.5gpt-image-v1-5-text-to-imageBackground replacementGPT Image v1.5 Editgpt-image-v1-5-editProduct editingFlux 2 Turbo Editflux-2-turbo-editMulti-angle viewsQwen Image Editqwen-image-edit-2511-multiple-anglesBackground removalRembg Enhancerembg-enhanceBackground removalEachlabs BG Removereachlabs-bg-remover-v1Image upscalingEachlabs Upscaler Proeachlabs-image-upscaler-pro-v1Ad inpaintingSDXL Ad Inpaintsdxl-ad-inpaintCustom product styleZ Image Trainerz-image-trainerProduct videoPixverse v5.6 Image-to-Videopixverse-v5-6-image-to-video

Prediction Flow

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" or "failed" Extract output URL from response

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.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs

SKILL.md Primary doc
references/MODELS.md Docs