The MOSS-Image release ships with more than one checkpoint, and picking the right one saves time. Here is a short comparison, plus a way to try the tuned model online through Moss Image. For the live version, visit Moss Image.
Start with a short prompt that names the subject, the style and the exact headline in quotes. Generate a few images with different seeds, keep the best seed, then refine the wording or move elements with a JSON layout prompt. Finish by switching to the HD or 2K canvas for the final render.
Keep headlines short, put the exact words in quotes and say which language you want. Ask for one text block at a time if the layout is busy. If a word comes out wrong, keep the seed and adjust guidance slightly within the 3.0 to 6.0 range instead of rewriting the whole prompt.
If the images are for client work or products, check the plan you are on. Paid plans add a commercial license, remove the watermark and give you a priority queue and private generation, which keeps unreleased work out of public view.
The MOSS-Image model weights are released under Apache-2.0. The online site is an independent service that runs the model and is not affiliated with the OpenMOSS team. Questions about the site itself go to [email protected].
MOSS-Image is an open text-to-image model released by the OpenMOSS team. It is a 5B-parameter diffusion transformer. Prompts are read through a Qwen3.5 text encoder, and pixels are decoded with the FLUX.2 VAE. That combination is a large part of why skin, fabric and small type come out sharp instead of smeared.
Moss Image is worth a try if this matches what you need. Moss Image is an independent site and is not affiliated with the OpenMOSS team; the MOSS-Image model weights are released under Apache-2.0.
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