# MOSS-Image

> Generate images with precise control over text and layout

MOSS-Image is an open-source family of image generation models that turns written descriptions into illustrations, photographs, and visual compositions. Its Base and SFT versions share a five-billion-parameter backbone and support prompts of up to 4,000 tokens, including instructions for rendering text inside images.

For compositions that need a specific arrangement, users can supply a JSON layout describing objects, words, and bounding boxes. This makes it possible to plan a poster or other graphic before generating the image. Developers can run the models through a Python Diffusers pipeline, a local Gradio interface, or ComfyUI, and adapt them with fine-tuning or LoRA training. Code and model weights are publicly available under Apache 2.0, with separate licenses applying to third-party components.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/moss-image
- Official website: https://openmoss.ai/MOSS-Image/
- Category: Artificial intelligence / AI image generation
- Status: Launched
- Topics: Fine tuning, Illustration, Image generation, Open source, Self hosted
- Listed: 2026-11-09T14:20:16.477Z
- Content updated: 2026-11-09T14:20:16.509Z
- Official source: https://openmoss.ai/MOSS-Image/
This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.