eachlabs-fashion-ai

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.