# Send Eachlabs Product Visuals to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "eachlabs-product-visuals",
    "name": "Eachlabs Product Visuals",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/eftalyurtseven/eachlabs-product-visuals",
    "canonicalUrl": "https://clawhub.ai/eftalyurtseven/eachlabs-product-visuals",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/eachlabs-product-visuals",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=eachlabs-product-visuals",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "references/MODELS.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/eachlabs-product-visuals"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/eachlabs-product-visuals",
    "downloadUrl": "https://openagent3.xyz/downloads/eachlabs-product-visuals",
    "agentUrl": "https://openagent3.xyz/skills/eachlabs-product-visuals/agent",
    "manifestUrl": "https://openagent3.xyz/skills/eachlabs-product-visuals/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/eachlabs-product-visuals/agent.md"
  }
}
```
## Documentation

### 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.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: eftalyurtseven
- Version: 0.1.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/eachlabs-product-visuals)
- [Send to Agent page](https://openagent3.xyz/skills/eachlabs-product-visuals/agent)
- [JSON manifest](https://openagent3.xyz/skills/eachlabs-product-visuals/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/eachlabs-product-visuals/agent.md)
- [Download page](https://openagent3.xyz/downloads/eachlabs-product-visuals)