Bonsai Image 4B uses 1-bit/ternary quantization to shrink a 4B-parameter model to ~3GB?

Bonsai Image 4B uses 1-bit/ternary quantization to shrink a 4B-parameter model to ~3GB.

It runs entirely in-browser via WebGPU, enabling private, local text-to-image generation?

It runs entirely in-browser via WebGPU, enabling private, local text-to-image generation.

Apache-2.0 license and Hugging Face demo make it freely accessible for developers.

Image & Video

r/StableDiffusion May 27, 2026

⚡A 3GB model that beats 16GB FLUX, runs 100% on WebGPU.

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Deep Dive

PrismML's new models are only about 3GB in size, compared to FLUX.2 Klein 4B

Key Points

Bonsai Image 4B uses 1-bit/ternary quantization to shrink a 4B-parameter model to ~3GB.
It runs entirely in-browser via WebGPU, enabling private, local text-to-image generation.
Apache-2.0 license and Hugging Face demo make it freely accessible for developers.

Brings high-quality, private image generation to everyday devices without cloud costs or latency.