Mentioned in the conclusion alongside Krea 2 as better than MiniMax H3 in some aspects of text-to-image.
Open-weights 5B text-to-image model family from OpenMOSS with native JSON bounding-box layout control and text rendering.
Updated EU status checked Last shown
MOSS-Image at a glance
- What is MOSS-Image?
- MOSS-Image is a model from OpenMOSS. Open-weights 5B text-to-image model family from OpenMOSS with native JSON bounding-box layout control and text rendering.
- Who makes MOSS-Image?
- MOSS-Image is made by OpenMOSS.
- Does MOSS-Image work in the EU?
- Available in the EU. Weights are downloadable from Hugging Face under Apache-2.0 with no regional restriction, so they can be run locally in the EU/EEA. Last verified 14 Nov 2026.
- How much does MOSS-Image cost?
- Open source. Weights free to download under Apache-2.0; run locally with your own GPU. Licence: Apache-2.0 (weights).
- Where was MOSS-Image shown?
- In 3 creator videos by AI Search. Most recently by AI Search on 12 Nov 2026, at 19:25 in “New top local AI image editor is here!”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
MOSS-Image is a text-to-image model family from the OpenMOSS Team, released as a base checkpoint (MOSS-Image-Base) and a fine-tuned checkpoint (MOSS-Image-SFT) trained on curated data. Both share the same 5B-parameter architecture and sampling interface. Prompts can be up to 4K tokens, and the model is described as handling text rendering as well as anime and photorealistic styles.
Beyond natural-language prompts, it supports native layout control. A structured JSON prompt specifies the scene, objects, rendered text and bounding boxes for each element. The project also provides a Prompt Enhancer skill for agents that turns ideas into captions or layout JSON. Community add-ons listed on the ComfyUI repackage include a color/depth control LoRA and an image-edit LoRA. The base model itself is text-to-image only.
It is accessed through a Diffusers pipeline (Python 3.10+, NVIDIA GPU), a Gradio app with several memory modes for lower-VRAM setups, or ComfyUI, using a native plugin and repackaged files from Comfy-Org (bf16 and int8 variants). Model weights are Apache-2.0; the pipeline code and third-party components keep their own licenses. It was announced on 2026-10-16.
- 5B-parameter text-to-image backbone with prompts up to 4K tokens
- Native layout control via JSON prompts with bounding boxes
- Text rendering, including Chinese text, plus anime and photorealistic styles
- Base and SFT checkpoints sharing one interface
- Diffusers, Gradio and ComfyUI support with memory-saving modes
- Apache-2.0 weights; supports LoRA fine-tuning
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Open-source 5B-parameter text-to-image model with strong knowledge, text rendering, infographics, and layout control via bounding boxes. Runs on low VRAM; creator installs it in ComfyUI, tests text-to-image and layout workflows, and notes it is text-to-image only (inpainting for editing).
Open 5B text-to-image model under Apache 2, relatively unfiltered, good at anime, game scenes and text rendering, with bounding-box layout control. Released as a base model and an SFT model; no editing.
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