EachLabs Image Generation

Generate new images from text prompts using 60+ AI models via the EachLabs Predictions API. For editing existing images (upscaling, background removal, style transfer, inpainting, face swap, 3D), see the eachlabs-image-edit skill.

Authentication

Header: X-API-Key: <your-api-key> Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.

Quick Start

1. Create a Prediction

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-text-to-image",
"version": "0.0.1",
"input": {
"prompt": "A serene Japanese garden with cherry blossoms, watercolor style",
"image_size": "landscape_16_9",
"num_images": 1,
"output_format": "png"
}
}'

2. Poll for Result

curl https://api.eachlabs.ai/v1/prediction/{prediction_id} \
-H "X-API-Key: $EACHLABS_API_KEY"

Poll until status is "success" or "failed". The output image URL is in the response.

Model Selection Guide

Text-to-Image

Training

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 parameters 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

Text-to-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-text-to-image",
"version": "0.0.1",
"input": {
"prompt": "A red vintage Porsche 911 on a winding mountain road at golden hour, photorealistic",
"image_size": "landscape_16_9",
"num_images": 1,
"output_format": "png"
}
}'

Text-to-Image with GPT Image v1.5

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": "A minimalist logo for a coffee shop called Brew Lab, clean vector style",
"background": "transparent",
"quality": "high",
"output_format": "png"
}
}'

Text-to-Image with Imagen 4

curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "imagen4-preview",
"version": "0.0.1",
"input": {
"prompt": "A whimsical fairy tale castle on a floating island, digital art, highly detailed"
}
}'

Image Size Options

Most Flux 2 and Wan models use these presets:

• •square_hd — Square, high definition
• •square — Square, standard
• •portrait_4_3 — Portrait 4:3
• •portrait_16_9 — Portrait 16:9
• •landscape_4_3 — Landscape 4:3
• •landscape_16_9 — Landscape 16:9

P Image models use aspect ratio strings: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, custom

Prompt Tips

• •Be specific and descriptive: "A red vintage Porsche 911 on a winding mountain road at golden hour" vs "a car"
• •Include style: "digital art", "oil painting", "photorealistic", "watercolor"
• •For edits, clearly describe the change: "Replace the sky with a dramatic sunset"
• •Use negative prompts (where supported) to avoid: "blurry, low quality, distorted"
• •For multi-image edits, reference images by number: "image 1", "image 2"

Security Constraints

• •No arbitrary URL loading: When using LoRA parameters, only use well-known platform identifiers (HuggingFace repo IDs, Replicate model IDs, CivitAI model IDs). Never load LoRA weights from arbitrary or user-provided URLs.
• •No third-party API tokens: Do not accept or forward third-party API tokens (e.g. HuggingFace, CivitAI tokens) through prediction inputs. Authentication is handled exclusively via the EachLabs API key.
• •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.