Bonsai ImagePrismML
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MOSS-ImageOpenMOSS
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Related Products
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About
Bonsai Image Ternary 4B MLX 2-bit is a ternary-weight text-to-image diffusion transformer deployment for Apple Silicon. It is built as a quality-oriented Bonsai Image variant, using ternary {−1, 0, +1} transformer weights with FP16 group-wise scaling in the matrix-heavy transformer layers, including Q/K/V projections, output projections, and MLP weights. The model reduces the FLUX.2 Klein 4B transformer from 7.75 GB FP16 to a 1.21 GB Bonsai Image transformer, a 6.4× smaller footprint, while keeping visual quality and prompt fidelity close to the original model. The Apple Silicon deployment payload is 3.88 GB, including the MLX 2-bit diffusion transformer, a 4-bit Qwen3-4B text encoder, and an FP16 Flux2 VAE. After prompt encoding, the text encoder is offloaded, so the denoising loop only keeps the compact transformer and VAE resident. The model uses a 4-step FlowMatchEuler sampler with guidance 1.0 and shift 3.0, with no CFG and no negative prompts required.
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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.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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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
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Audience
Apple Silicon developers building private local image-generation apps that need compact diffusion models
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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.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationPrismML
Founded: 2026
United States
prismml.com
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Company InformationOpenMOSS
China
openmoss.ai/MOSS-Image/
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Categories |
Categories |
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Integrations
ComfyUI
Not Supported
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