Moss Image

Open text-to-image AI generating sharp images with English and Chinese text.

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About Moss Image

Moss Image is an advanced open-source AI image generation tool developed by the OpenMOSS team, designed to create high-quality images directly in a web browser without requiring any local GPU or setup. Utilizing a powerful 5 billion-parameter diffusion transformer model combined with a sophisticated Qwen3.5 text encoder and FLUX.2 VAE decoder, Moss Image excels at translating detailed natural language prompts into sharp, vivid images. One standout feature is its exceptional ability to render clear and legible English and Chinese text within generated images, making it a perfect solution for bilingual content creators.

Users can either input straightforward textual prompts or provide structured JSON layouts to precisely control image composition, enabling custom placements of elements for posters, banners, cover arts, and marketing visuals. The platform supports both base and fine-tuned model checkpoints, facilitating custom model training and fine-tuning workflows like LoRA. Moss Image offers a seamless experience with fast rendering times, editable prompt options for iterative refinement, and easy download of final images. Its freemium pricing with additional subscription tiers includes commercial licenses and priority support, catering to a wide range of creative professionals and developers.

Use Cases

A marketing team creating bilingual advertising posters combining English and Chinese text to reach diverse audiences efficiently.
Graphic designers producing product packaging visuals with exact element placement using JSON layout prompts for brand consistency.
Developers prototyping AI-driven art generation integrations by fine-tuning the Moss Image Base checkpoint through LoRA to customize outputs.
Content creators designing social media cover images and banners with clear, legible multi-language text rendered directly in the image.
Event organizers producing eye-catching promotional posters featuring stylized lighting and detailed compositions without needing advanced hardware.
Agencies quickly generating concept art and mood boards with adjustable prompt parameters to visualize creative directions on-demand.

Key Features

5B-parameter diffusion transformer model
Qwen3.5 text encoder for detailed prompt understanding
FLUX.2 VAE decoding for fine image details
Bilingual English and Chinese text rendering within images
Supports JSON layouts for precise element placement

Pricing

Moss Image offers a flexible pricing structure starting with a freemium plan that provides basic access with limited credits to try the service. Paid subscription plans are billed annually with the following tiers:

Starter Plan at $100/year ($8.3/month equivalent) includes 10,000 credits, English and Chinese text rendering, 2 concurrent image generations, private generation mode, no watermarks, priority in processing queues, priority support, and a commercial license.
Pro Plan at $300/year ($25/month equivalent) offers 35,000 credits, 4 concurrent generations, and all Starter features, optimized for professional users requiring higher throughput.
Unlimited Plan at $900/year ($75/month equivalent) targets power users and teams, providing 120,000 credits, 8 concurrent image generations along with all Pro benefits.

Customers can also purchase credit packs separately. All plans support cancel-anytime policies and offer secure payment options including Visa, Mastercard, American Express, and Apple Pay.

Pros & Cons

Pros

+ Open-source model enables transparency and flexibility for fine-tuning and development.
+ Runs entirely in a browser without any local installation or GPU hardware required.
+ Excellent English and Chinese text rendering within images, unique among AI generators.
+ Supports structured JSON layout prompts for precise control over image composition.
+ Offers both base and fine-tuned checkpoints, facilitating customization and LoRA-based fine-tuning.

Cons

- Credit-based pricing may limit frequent or large-scale generation without subscription.
- Interface and documentation might be less refined compared to some commercial AI image platforms.
- The 5B parameter size balances quality and speed but may not match the fidelity of larger proprietary models.
- Limited language rendering support currently focused only on English and Chinese text within images.

Frequently Asked Questions

What is Moss Image and how does it work?

Moss Image is an open-source AI image generator powered by a 5 billion-parameter diffusion transformer. It translates text prompts into detailed images using a Qwen3.5 text encoder and FLUX.2 VAE decoder, all running directly in your web browser without needing local hardware.

Can Moss Image render text inside images?

Yes, one of Moss Image's unique strengths is accurately and clearly rendering English and Chinese text within images, making it ideal for posters, banners, or cover art requiring bilingual text.

Do I need a GPU or local software to use Moss Image?

No, Moss Image runs entirely in your browser with no need for GPU hardware or local setup, enabling quick, easy access to AI image generation online.

What is the difference between Moss Image Base and MOSS-Image-SFT models?

Moss Image Base is an untrained checkpoint suitable for fine-tuning and LoRA projects, while MOSS-Image-SFT is fine-tuned on curated data to provide higher-quality images straight away for typical users.

How do I control the layout of generated images?

You can use natural language prompts for general images or provide structured JSON layout prompts to precisely position individual elements within the image.

What are the subscription options for Moss Image?

Moss Image offers a freemium plan with limited credits and three paid annual plans—Starter, Pro, and Unlimited—differing in credit allowance, concurrent generations, and additional features like priority processing and commercial licenses.