| 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.
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
- 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
Workflows
AI Fashion Model 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-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": "1024x1536",
"quality": "high"
}
}'
Virtual Try-On
Combine a garment image with a model image:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "wan-v2-6-image-to-image",
"version": "0.0.1",
"input": {
"prompt": "The person in image 1 wearing the clothing from image 2, professional fashion photography, editorial style",
"image_urls": ["https://example.com/model.jpg", "https://example.com/garment.jpg"],
"image_size": "portrait_4_3"
}
}'
Runway / Catwalk Video
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/fashion-model.jpg",
"prompt": "Fashion model walking confidently on a runway, camera follows from front, professional fashion show lighting",
"duration": "5",
"resolution": "1080p"
}
}'
Catwalk with Motion Reference
Use a real runway walk as motion reference:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "kling-v2-6-pro-motion-control",
"version": "0.0.1",
"input": {
"image_url": "https://example.com/fashion-model.jpg",
"video_url": "https://example.com/runway-walk-reference.mp4",
"character_orientation": "video"
}
}'
Brand Style Training
Train a LoRA on your brand's visual style for consistent campaign imagery:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "z-image-trainer",
"version": "0.0.1",
"input": {
"image_data_url": "https://example.com/brand-photos.zip",
"default_caption": "brand editorial fashion photography style",
"training_type": "style",
"steps": 1500
}
}'
Prompt Tips for Fashion
- Specify pose: "full body shot", "half body", "close-up on garment details"
- Include lighting: "editorial studio lighting", "natural light", "dramatic side lighting"
- Mention style: "editorial", "street style", "haute couture", "casual lookbook"
- For diversity: specify body types, skin tones, and ages in prompts
- For consistency: use the same style keywords across a campaign series
Parameter Reference
See the eachlabs-image-generation and eachlabs-video-generation references for complete model parameters.
