MOSS-Image

MOSS-Image

OpenMOSS
Tinker

Tinker

Thinking Machines Lab
+
+

Related Products

  • LTX
    182 Ratings
    Visit Website
  • Adobe Firefly
    25,051 Ratings
    Visit Website
  • Compute with Hivenet
    4 Ratings
    Visit Website
  • Checksum.ai
    2 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • Pipedrive
    12,537 Ratings
    Visit Website
  • SmartDraw
    573 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Yodeck
    8,160 Ratings
    Visit Website
  • Docmosis
    51 Ratings
    Visit Website

About

MOSS-Image is an open-weight text-to-image model family for generating images from natural-language prompts and structured layout instructions. Its Base and fine-tuned SFT checkpoints share an inference interface and support prompts of up to 4,096 tokens. Users can describe a scene in text or provide JSON layout data to guide where objects and rendered text appear in the composition. The project includes Python and Gradio workflows, a Diffusers pipeline, model weights, and guidance for local deployment and fine-tuning. It can be used to create illustrations, photorealistic images, posters, and other designed compositions, including images containing specified text. Developers can also use supported image-generation runtimes and a hosted API option. The software is aimed at developers, researchers, and creative practitioners who want to generate or adapt images with layout control.

About

Tinker is a training API designed for researchers and developers that allows full control over model fine-tuning while abstracting away the infrastructure complexity. It supports primitives and enables users to build custom training loops, supervision logic, and reinforcement learning flows. It currently supports LoRA fine-tuning on open-weight models across both LLama and Qwen families, ranging from small models to large mixture-of-experts architectures. Users write Python code to handle data, loss functions, and algorithmic logic; Tinker handles scheduling, resource allocation, distributed training, and failure recovery behind the scenes. The service lets users download model weights at different checkpoints and doesn’t force them to manage the compute environment. Tinker is delivered as a managed offering; training jobs run on Thinking Machines’ internal GPU infrastructure, freeing users from cluster orchestration.

Platforms Supported

Windows Not Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers, researchers, and creative practitioners who want to generate images from text or structured layouts, run the model locally, or fine-tune it for custom tasks.

Audience

AI researchers and ML engineers requiring a solution to experiment with fine-tuning open source language models while outsourcing infrastructure complexity

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

OpenMOSS
China
openmoss.ai/MOSS-Image/

Company Information

Thinking Machines Lab
United States
thinkingmachines.ai/tinker/

Alternatives

Alternatives

Inkling

Inkling

Thinking Machines Lab
MAI Image 2.7

MAI Image 2.7

Microsoft AI
Ideogram 4.0

Ideogram 4.0

Ideogram

Categories

AI Image Models Supported

Categories

Integrations

ComfyUI Supported
Inkling Not Supported
Inkling-Small Not Supported
Llama 3 Not Supported
Llama 3.1 Not Supported
Llama 3.2 Not Supported
Llama 3.3 Not Supported
Python Not Supported
Qwen Not Supported
Qwen3 Not Supported

Integrations

ComfyUI Not Supported
Inkling Supported
Inkling-Small Supported
Llama 3 Supported
Llama 3.1 Supported
Llama 3.2 Supported
Llama 3.3 Supported
Python Supported
Qwen Supported
Qwen3 Supported
Claim MOSS-Image and update features and information
Claim MOSS-Image and update features and information
Claim Tinker and update features and information
Claim Tinker and update features and information