OpenMOSS/MOSS-Image
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Our key highlights: Start with the English user guide or 中文用户指南 for recommended inference settings, prompt examples, layout input formats, and LoRA training guidance. MOSS-Image is supported natively in ComfyUI. Update to ComfyUI master/nightly with MOSS-Image support and install its dependencies, then use the built-in loaders with ComfyUI-format weights. No MOSS-Image plugin is required for this workflow. The repository plugin remains available for loading a local Hugging Face / Diffusers directory and for existing plugin workflows. Installation and usage · HF loader plugin workflow The MOSS-Image Prompt Enhancer turns image ideas into detailed captions or spatial Layout prompts. It is designed for GPT-6-family agents with local file and Python tools. The bundled script converts pixel-coordinate drafts into compact JSON with integer centered coordinates; it does not call an image-generation service. Install the skill folder in your agent's skills directory, then invoke $moss-image-prompt-enhancer with your image idea, desired caption or Layout…
Read the full README ↗ · Preview checked 2026-10-27T12:12:25.340Z
Inside the original README — Document outline
- News
- Community projects
- User guide
- ComfyUI
- Prompt enhancer skill
- Contents
- 🤗 Models
- Base vs. SFT
- 🚀 Quick start
- 🛠️ Installation
- Apple Silicon / MPS
- 🐍 Python
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Repository facts
- Owner
- OpenMOSS
- Primary language
- Python
- Stars
- 2,333
- Forks
- 127
- Open issues + pull requests
- 27
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2026-10-16T01:18:13.000Z
- Last push
- 2026-10-27T10:41:30.000Z
Topics and intended use
Owner-supplied topics: controllable-generation, foundation-models, image-generation, text-rendering, text-to-image
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T12:18:20.650Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer