eachlabs-image-edit（eachlabs 图像编辑）

EachLabs Image Edit

Edit, transform, and enhance existing images using 130+ AI models via the EachLabs Predictions API.

Authentication

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

Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.

Model Selection Guide

General Image Editing

Multi-Image Context Editing

Multi-Angle Views

Upscaling & Enhancement

Background Removal & Inpainting

Style Transfer & Effects

Post-Processing Effects

Face & Portrait

Virtual Try-On & Fashion

Image Reframing

Reference-Based Generation

ControlNet & Depth

3D Generation

Image Analysis

Product & E-Commerce

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 the output image URL(s) from the response

Examples

Edit Image with Flux 2 Turbo

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "flux-2-turbo-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Change the background to a tropical beach at sunset",
      "image_urls": ["https://example.com/photo.jpg"],
      "image_size": "square_hd",
      "output_format": "png"
    }
  }'

Remove Background

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "rembg-enhance",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/photo.jpg"
    }
  }'

Upscale Image

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "topaz-upscale-image",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/low-res.jpg"
    }
  }'

Multi-Angle View

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": 90,
      "vertical_angle": 15,
      "zoom": 5
    }
  }'

Virtual Try-On

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "kling-v1-5-kolors-virtual-try-on",
    "version": "0.0.1",
    "input": {
      "human_image": "https://example.com/person.jpg",
      "garment_image": "https://example.com/clothing.jpg"
    }
  }'

Generate 3D Model

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "hunyuan-3d-v2-1",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/object.jpg"
    }
  }'

Security Constraints

• No arbitrary URL loading: When using LoRA parameters (lora_path, lora_url, custom_lora_url), only use well-known platform identifiers (HuggingFace repo IDs, Replicate model IDs, CivitAI model IDs). Never load weights from arbitrary or user-provided URLs.
• Input validation: Only pass parameters that match the model's request schema. Always validate model slugs via GET /v1/model?slug=<slug> before creating predictions.

Parameter Reference

See references/MODELS.md for complete parameter details for each model.