Audience

Apple Silicon developers building private local image-generation apps that need compact diffusion models

About Bonsai Image

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.

Integrations

API:
Yes, Bonsai Image offers API access
No integrations listed.

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Company Information

PrismML
Founded: 2026
United States
prismml.com

Videos and Screen Captures

Bonsai Image Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
iPhone
iPad
Android
On-Premises
Training
Documentation
Live Online
Videos
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Bonsai Image Frequently Asked Questions

Q: What kinds of users and organization types does Bonsai Image work with?
Q: What languages does Bonsai Image support in their product?
Q: What kind of support options does Bonsai Image offer?
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Bonsai Image Product Features