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MOSS Image AI

MOSS Image from OpenMOSS is an open-weights 5B text-to-image model that renders legible Chinese and English text and places text and objects where a JSON layout says, at 1K, 1.5K or 2K. Released October 2026. Try it online in the Studio or call it from code, up to 27% below the fal API price.

Developer
OpenMOSS
MOSS Image family
Released
October 2026
Sizes
up to 2K
3 sizes
From
$0.0384/image
1K

Try it

Try MOSS Image AI now

Runs on your balance at the price on the button; failed runs are refunded. Results are saved to your account.

Open the full-screen Studio

Made with MOSS Image

Example prompts

  • A wide view of a refrigerator beside a kitchen counter with a fruit bowl. A small sticky note on the refrigerator door is handwritten in Chinese: “记得买牛奶和鸡蛋!牛奶两盒,鸡蛋一打。”

    Try it
  • Minimalist travel poster, cream background, a flat blue mountain illustration, the title “EXPLORE” in large dark-blue capitals at the top

    Try it

What it is

What is MOSS Image?

Text that reads right, in two languages

MOSS Image is trained for typography: signs, posters, menus, notes and packaging with accurate Chinese and English text, line breaks and mixed scripts. Put the words to render in quotes.

Layout as input

Besides plain prompts and tag lists, MOSS Image takes a JSON layout: a scene caption plus items, each with a description, the text to render and a bounding box in pixels from the canvas centre. Use the canvas of the resolution and aspect ratio you request — they are listed with each option.

Open weights

OpenMOSS releases MOSS Image under Apache-2.0: a 5B diffusion transformer with a Qwen3.5 text encoder that accepts long prompts. It is served on GPU inference for open-source models.

Capabilities

What MOSS Image can do

Bilingual text

Chinese & English

JSON layouts

Text and objects by bounding box

1K to 2K

15 aspect ratios, one price each

Open weights

Apache-2.0

Use cases

What people use MOSS Image for

Images from a description
Illustrations, product visuals and concepts, up to 2K.
Any format
15 aspect ratios, from banners to vertical posts.

How it compares

MOSS Image vs similar models

MOSS Image vs Qwen-Image 3.0

MOSS Image

  • More aspect ratios: 15 vs 7.

Qwen-Image 3.0

  • Lower price: $0.0228/image vs $0.0384/image at 1K (41% less).
  • Edits with up to 3 input images.
  • Supports image edit.

Where to use it

Three ways to use MOSS Image

In the Studio

No code: write a prompt, pick the settings, generate. The price is shown before you run.

Through the API

One key and one request shape for every model; poll the generation or get a webhook.

From an AI agent

Our MCP server lets Claude and other agents quote and generate for you.

FAQ

MOSS Image AI questions

MOSS Image from OpenMOSS is an open-weights 5B text-to-image model that renders legible Chinese and English text and places text and objects where a JSON layout says, at 1K, 1.5K or 2K. It was released in October 2026.

OpenMOSS. MOSS Image is part of OpenMOSS' MOSS Image family.

Yes, in the CheaperGen Studio — no code and no subscription needed. A 1K image costs $0.039, up to 27% below the fal API price. Step by step: how to use MOSS Image.

1K, 1.5K and 2K.

MOSS Image: More aspect ratios: 15 vs 7. Qwen-Image 3.0: Lower price: $0.0228/image vs $0.0384/image at 1K (41% less). Edits with up to 3 input images. Full comparison: MOSS Image vs Qwen-Image 3.0.

Yes: one API key, POST /v1/run/{endpoint}, from $0.0384/image. See the MOSS Image API page and its documentation.

MOSS Image is OpenMOSS' open-weights model. CheaperGen provides API access to the open weights, run on GPU inference for open-source models, and does not own the model. Trademarks belong to their respective owners.