Imagine

What it does

A picture from a sentence. On your GPU.

• Bonsai Image 4B (Prism ML, 2026) is a 1-bit / 1.58-bit FLUX.2 Klein deployment. WebGPU only. There is no WASM path.
• Default binary is the smaller payload (~3.4 GB). Pass size: "ternary" (~3.9 GB) for the quality-oriented weights.
• Tuned for 4 FlowMatch-Euler steps at guidance 1.0. More steps rarely help and can add artifacts. Negative prompts are not used.
• Default output is 512×512. Native training resolution is 1024×1024; sides must be multiples of 16 (32 recommended).
• First download is several gigabytes and is cached in IndexedDB. Chromium + a recent GPU is required.

Specifications

Package

runonweb/image

Base model

Bonsai Image 4B (FLUX.2 Klein) · Prism ML

License

Apache-2.0

Weights

prism-ml/bonsai-image-binary-4B-mlx-1bit

Download

~3.4 GB (binary)ternary ~3.9 GB

Quantization

1-bit / 1.58-bit on WebGPU

Backend

WebGPU only

Input

Text

Get started with runonweb/image

pnpm add runonweb

npm install runonweb

bun add runonweb

yarn add runonweb

import { ImageGenerator } from 'runonweb/image'

const gen = new ImageGenerator({ size: 'binary' })
await gen.load()

const { image, seed } = await gen.generate(
  'A bonsai tree in a quiet ceramic studio, soft morning light',
)
document.querySelector('img').src = URL.createObjectURL(image)

gen.dispose()

Same shape everywhere: construct, load(), run, dispose(). Pass onProgressto show download progress on first use.

Questions about Imagine