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Eachlabs Fashion Ai

Generate fashion model imagery, virtual try-on, runway videos, and campaign visuals using EachLabs AI. Use when the user needs fashion content, model photography, or virtual try-on. Skill: Eachlabs Fashion Ai Owner: eftalyurtseven Summary: Generate fashion model imagery, virtual try-on, runway videos, and campaign visuals using EachLabs AI. Use when the user needs fashion content, model photography, or virtual try-on. Tags: latest:0.1.0 Version history: v0.1.0 | 2026-02-09T02:20:32.069Z | auto Initial release of EachLabs Fashion AI. - Generate fashion model images, virtual try-on visuals, runway

OpenClaw
View on ClawHub

Rank

62

Safety

84

Downloads

688

Updated

Apr 15, 2026

Version

0.1.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 688 downloads reported by the source. Last updated 4/15/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Apr 15, 2026
Protocol compatibility
OpenClawcompatibility · observed Apr 15, 2026
Adoption signal
688 downloadsadoption · observed Apr 15, 2026
Latest release
0.1.0release · observed Feb 9, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install kn7daknf647gdfdwzpyq5scnvn80tq7d:eachlabs-fashion-ai
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-eftalyurtseven-eachlabs-fashion-ai/snapshot"

Documentation

CLAWHUB

6,878 characters of source documentation, loaded on request.

Extracted files

2 files captured from the source.

SKILL.md

---
name: eachlabs-fashion-ai
description: Generate fashion model imagery, virtual try-on, runway videos, and campaign visuals using EachLabs AI. Use when the user needs fashion content, model photography, or virtual try-on.
metadata:
  author: eachlabs
  version: "1.0"
---

# EachLabs Fashion AI

Generate AI fashion model imagery, virtual try-on experiences, runway content, and campaign visuals using EachLabs models.

## Authentication

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

Set the `EACHLABS_API_KEY` environment variable. Get your key at [eachlabs.ai](https://eachlabs.ai).

## Recommended Models

### Image Generation & Editing

| Task | Model | Slug |
|------|-------|------|
| Fashion model generation | GPT Image v1.5 | `gpt-image-v1-5-text-to-image` |
| Virtual try-on (best) | Kolors Virtual Try-On | `kling-v1-5-kolors-virtual-try-on` |
| Virtual try-on (alt) | IDM VTON | `idm-vton` |
| Garment on model | Wan v2.6 Image-to-Image | `wan-v2-6-image-to-image` |
| Model photoshoot | Product Photo to Modelshoot | `product-photo-to-modelshoot` |
| Photoshoot styling | Nano Banana Pro Photoshoot | `nano-banana-pro-photoshoot` |
| Face/look consistency | Omni Zero | `omni-zero` |
| Character consistency | Ideogram Character | `ideogram-character` |
| Photomaker | Photomaker | `photomaker` |
| Photomaker Style | Photomaker Style | `photomaker-style` |
| Avatar generation | Instant ID | `instant-id` |
| Soul styling | Higgsfield AI Soul | `higgsfield-ai-soul` |
| Become image | Become Image | `become-image` |

### Training

| Task | Model | Slug |
|------|-------|------|
| Brand style training | Z Image Trainer | `z-image-trainer` |
| Portrait LoRA | Flux LoRA Portrait Trainer | `flux-lora-portrait-trainer` |

### Video

| Task | Model | Slug |
|------|-------|------|
| Runway video | Pixverse v5.6 Image-to-Video | `pixverse-v5-6-image-to-video` |
| Catwalk animation | Bytedance Omnihuman v1.5 | `bytedance-omnihuman-v1-5` |
| Motion reference | Kling v2.6 Pro Motion | `kling-v2-6-pro-motion-control` |

## 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

### AI Fashion Model Generation

```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-text-to-image",
    "version": "0.0.1",
    "input": {
      "prompt": "Professional fashion model wearing a tailored navy blazer, editorial photography, studio lighting, full body shot, neutral background",
      "image_size": "

_meta.json

{
  "ownerId": "kn7daknf647gdfdwzpyq5scnvn80tq7d",
  "slug": "eachlabs-fashion-ai",
  "version": "0.1.0",
  "publishedAt": 1770603632069
}

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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}

Record generated Oct 9, 2026.

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