Bonsai Image

Bonsai Image

PrismML
Imagen

Imagen

Google
+
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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.

About

Imagen is a text-to-image generation model developed by Google Research. It uses advanced deep learning techniques, primarily leveraging large Transformer-based architectures, to generate high-quality, photorealistic images from natural language descriptions. Imagen's core innovation lies in combining the power of large language models (like those used in Google's NLP research) with the generative capabilities of diffusion models—a class of generative models known for creating images by progressively refining noise into detailed outputs. What sets Imagen apart is its ability to produce highly detailed and coherent images, often capturing fine-grained details and textures based on complex text prompts. It builds on the advancements in image generation made by models like DALL-E, but focuses heavily on semantic understanding and fine detail generation.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Users that want a powerful AI text-to-image generation model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

PrismML
Founded: 2026
United States
prismml.com

Company Information

Google
Founded: 1998
United States
imagen.research.google/

Alternatives

Bonsai 27B

Bonsai 27B

PrismML

Alternatives

Imagen 2

Imagen 2

Google
FLUX.2 [klein]

FLUX.2 [klein]

Black Forest Labs
Imagen 3

Imagen 3

Google
Imagen 4

Imagen 4

Google
FLUX.1

FLUX.1

Black Forest Labs
ImageFX

ImageFX

Google
Qwen-Image

Qwen-Image

Alibaba

Categories

Categories

Integrations

Anything
CodeMender
Dovoo AI
Fuser
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Enterprise Agent Platform
Gemini Nano
Gemini Pro
Gemini Robotics
Google AI Plus
HeyVid.ai
ImageGPT.io
Lewis
Pixo
Weavy
YouArt

Integrations

Anything
CodeMender
Dovoo AI
Fuser
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Enterprise Agent Platform
Gemini Nano
Gemini Pro
Gemini Robotics
Google AI Plus
HeyVid.ai
ImageGPT.io
Lewis
Pixo
Weavy
YouArt
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