Bonsai Image

Bonsai Image

PrismML
+
+

Related Products

  • LTX
    182 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • Adobe Firefly
    25,029 Ratings
    Visit Website
  • MobiPDF
    7,544 Ratings
    Visit Website
  • dbt
    263 Ratings
    Visit Website
  • AI Video Cut
    1 Rating
    Visit Website
  • 3Q
    14 Ratings
    Visit Website
  • SmartDraw
    560 Ratings
    Visit Website
  • Asym Capital
    1 Rating
    Visit Website
  • DialedIn
    620 Ratings
    Visit Website

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

P-Image-Ideogram is a family of Pareto-optimal text-to-image models built by Ideogram with Pruna AI to deliver a strong balance of image quality, generation speed, and efficiency. Designed for high-volume production and rapid iteration, it produces 1K images in seconds while maintaining quality near leading image models. Four Quality levels let users match compute to the brief rather than follow a simple worse-to-better ladder. Medium serves as the everyday default, High is suited to dense typography, complex prompts, and fine details, and Very Low or Low support drafts, testing, and broad A/B exploration. Developers can access the model through a synchronous API endpoint and submit either a natural-language prompt or a structured Ideogram 4.0 JSON prompt, which the server detects automatically. Optional prompt upsampling can expand instructions through Magic Prompt, while a fixed seed supports reproducible results.

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

Creative automation teams that need to generate large volumes of polished campaign visuals and design variations quickly

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

No information available.
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

Ideogram
Founded: 2022
Canada
ideogram.ai/tools/p-image-ideogram

Alternatives

Bonsai 27B

Bonsai 27B

PrismML

Alternatives

Ideogram 4.0

Ideogram 4.0

Ideogram
FLUX.1

FLUX.1

Black Forest Labs
Qwen-Image

Qwen-Image

Alibaba
Seedream 4.5

Seedream 4.5

ByteDance
Seedream 4.0

Seedream 4.0

ByteDance

Categories

Categories

Integrations

JSON
Model Context Protocol (MCP)

Integrations

JSON
Model Context Protocol (MCP)
Claim Bonsai Image and update features and information
Claim Bonsai Image and update features and information
Claim P-Image-Ideogram and update features and information
Claim P-Image-Ideogram and update features and information