eachlabs-image-generation

Original：🇺🇸 English

Translated

Generate new images from text prompts using EachLabs AI models. Supports text-to-image with multiple model families including Flux, GPT Image, Gemini, Imagen, Seedream, and more. Use when the user wants to create new images from text. For editing existing images, see eachlabs-image-edit.

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Sourceeachlabs/skills

Added on2026-02-09

NPX Install

npx skill4agent add eachlabs/skills eachlabs-image-generation

SKILL.md Content

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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

bash

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

bash

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

Model	Slug	Best For
Flux 2 Turbo	`flux-2-turbo-text-to-image`	Fast, high quality general purpose
Flux 2 Flash	`flux-2-flash-text-to-image`	Fastest Flux generation
Flux 2 Max	`flux-2-max-text-to-image`	Highest quality Flux
Flux 2 Klein 9B	`flux-2-klein-9b-base-text-to-image`	Balanced quality/speed
Flux 2 Pro	`flux-2-pro`	Pro quality
Flux 2 Flex	`flux-2-flex`	Flexible outputs
Flux 2 LoRA	`flux-2-lora`	LoRA-powered generation
XAI Grok Imagine	`xai-grok-imagine-text-to-image`	Creative and artistic
GPT Image v1.5	`gpt-image-v1-5-text-to-image`	High quality, transparent bg
Bytedance Seedream v4.5	`bytedance-seedream-v4-5-text-to-image`	Bytedance latest
Gemini 3 Pro Image	`gemini-3-pro-image-preview`	Google's latest
Imagen 4	`imagen4-preview`	Google Imagen 4
Imagen 4 Fast	`imagen-4-fast`	Fast Google quality
Reve	`reve-text-to-image`	Artistic text-to-image
Hunyuan Image v3	`hunyuan-image-v3-text-to-image`	Tencent's latest
Ideogram V3 Turbo	`ideogram-v3-turbo`	Text in images
Minimax	`minimax-text-to-image`	High quality
Wan v2.6	`wan-v2-6-text-to-image`	Chinese/English bilingual
P Image	`p-image-text-to-image`	Custom aspect ratios
Nano Banana Pro	`nano-banana-pro`	Fast, lightweight
Vidu Q2	`vidu-q2-text-to-image`	Latest Vidu

Training

Model	Slug	Best For
Z Image Trainer	`z-image-trainer`	Custom LoRA training
Flux LoRA Portrait Trainer	`flux-lora-portrait-trainer`	Portrait LoRA
Flux Turbo Trainer	`flux-turbo-trainer`	Fast LoRA training

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 parameters matching the schema

Poll

GET https://api.eachlabs.ai/v1/prediction/{id}

until status is

"success"

or

"failed"

Extract the output image URL(s) from the response

Examples

Text-to-Image with Flux 2 Turbo

bash

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

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": "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

bash

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"

Parameter Reference

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

eachlabs-image-generation

NPX Install

Tags

SKILL.md Content

EachLabs Image Generation

Authentication

Quick Start

1. Create a Prediction

2. Poll for Result

Model Selection Guide

Text-to-Image

Training

Prediction Flow

Examples

Text-to-Image with Flux 2 Turbo

Text-to-Image with GPT Image v1.5

Text-to-Image with Imagen 4

Image Size Options

Prompt Tips

Parameter Reference