> ## Documentation Index
> Fetch the complete documentation index at: https://docs.eachlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Models Catalog

> Curated selection of production-ready AI models across image generation, video generation, image editing, and audio. Find the right model for your use case.

each::labs provides access to 500+ AI models. This catalog highlights our curated selection of top-performing models across key categories.

<Note>
  This is a curated subset. For the full model list, call `GET /v1/models` or browse the [dashboard](https://www.eachlabs.ai).
</Note>

## Categories

<CardGroup cols={2}>
  <Card title="Image Generation" icon="image" href="/models/image-generation">
    Text-to-image models. Photorealistic, artistic, and stylized image creation.
  </Card>

  <Card title="Video Generation" icon="video" href="/models/video-generation">
    Text-to-video and image-to-video models. Cinematic, fast, and high-quality.
  </Card>

  <Card title="Image Editing" icon="wand-magic-sparkles" href="/models/image-editing">
    Edit, fill, upscale, remove backgrounds, and swap faces in existing images.
  </Card>

  <Card title="Audio & Music" icon="music" href="/models/audio-music">
    Text-to-speech, music generation, and audio synthesis.
  </Card>
</CardGroup>

## Quick Recommendations

| Use Case                       | Model Slug                 | Why                                  |
| ------------------------------ | -------------------------- | ------------------------------------ |
| Best overall image generation  | `flux-2-max`               | Top quality, handles complex prompts |
| Fast image generation          | `flux-2-pro`               | Great quality with faster speed      |
| Edit existing images with text | `flux-2-edit`              | Instruction-based image editing      |
| Image with text/logo overlays  | `flux-kontext-pro`         | Excellent text rendering in images   |
| Google-quality images          | `gemini-imagen-4`          | Google's latest image model          |
| Best overall video             | `veo-3`                    | Top quality text-to-video with audio |
| Fast video generation          | `veo3-1-fast`              | Quick turnaround video generation    |
| Image to video                 | `kling-2-1-image-to-video` | Animate any image into video         |
| Background removal             | `eachlabs-bg-remover-v1`   | Fast, accurate background removal    |
| Image upscaling                | `topaz-upscale-image`      | AI-powered super resolution          |
| Text-to-speech                 | `elevenlabs-tts`           | Natural, expressive voice synthesis  |
| Music generation               | `mureka-generate-music`    | Full song generation from text       |

## Model Aliases

Some models are commonly referred to by shorter names. Use the exact slug when calling the API.

| Common Name  | API Slug           |
| ------------ | ------------------ |
| Flux Max     | `flux-2-max`       |
| Flux Pro     | `flux-2-pro`       |
| Flux Edit    | `flux-2-edit`      |
| Flux Fill    | `flux-fill-pro`    |
| Flux Kontext | `flux-kontext-pro` |
| Imagen 4     | `gemini-imagen-4`  |
| Veo 3        | `veo-3`            |
| Kling 3      | `kling-3-0`        |
| Sora         | `sora-2-pro`       |
| ElevenLabs   | `elevenlabs-tts`   |

## How to Use a Model

<Steps>
  <Step title="Find the model slug">
    Browse this catalog or call `GET /v1/models` to find the model slug you need.
  </Step>

  <Step title="Check input parameters">
    Each model card lists required and optional parameters. You can also call `GET /v1/model?slug={slug}` for the full schema.
  </Step>

  <Step title="Run a prediction">
    ```bash theme={"dark"}
    curl -X POST https://api.eachlabs.ai/v1/prediction \
      -H "Authorization: Bearer $EACHLABS_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "MODEL_SLUG",
        "version": "1.0.0",
        "input": { ... }
      }'
    ```
  </Step>

  <Step title="Get results">
    Poll `GET /v1/prediction/{id}` or configure a [webhook](/api/webhooks/overview) for async delivery.
  </Step>
</Steps>