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Description
The Bonsai Image Ternary 4B MLX 2-bit is a text-to-image diffusion transformer specifically designed for deployment on Apple Silicon, emphasizing quality in its Bonsai Image variant. This model utilizes ternary weights of {−1, 0, +1} along with FP16 group-wise scaling in its transformer layers, which encompass Q/K/V projections, output projections, and MLP weights. Notably, it reduces the size of the FLUX.2 Klein 4B transformer from 7.75 GB FP16 to just 1.21 GB, achieving a remarkable 6.4× smaller footprint while maintaining visual quality and fidelity to prompts akin to the original model. The deployment package for Apple Silicon is 3.88 GB, which includes the MLX 2-bit diffusion transformer, a 4-bit Qwen3-4B text encoder, and an FP16 Flux2 VAE. After the text encoder handles prompt encoding, it is offloaded to ensure that only the compact transformer and VAE remain in memory during the denoising loop. Furthermore, the model employs a 4-step FlowMatchEuler sampler with guidance set at 1.0 and a shift of 3.0, eliminating the need for CFG and negative prompts, thus streamlining the generation process for enhanced user experience. Overall, this innovation represents a significant advancement in efficient and effective image generation technology.
Description
ERNIE-Image is a text-to-image generation model created by Baidu that aims to produce high-quality images with precise adherence to instructions and enhanced control. Utilizing a single-stream Diffusion Transformer (DiT) framework with approximately 8 billion parameters, it achieves leading performance among open-weight image models while maintaining operational efficiency. The model features an integrated prompt enhancement mechanism that transforms basic user inputs into more elaborate and structured descriptions, thereby elevating the quality and coherence of the images it generates. It is particularly adept at complex instruction adherence, enabling it to accurately depict text within images, manage structured layouts, and create multi-element compositions, making it ideal for applications such as posters, comics, and multi-panel designs. Furthermore, ERNIE-Image accommodates multilingual prompts in languages such as English, Chinese, and Japanese, which enhances its accessibility and usability across different regions. This versatility may lead to a wider range of creative applications, allowing users to express their ideas visually in diverse contexts.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
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Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PrismML
Founded
2026
Country
United States
Website
prismml.com
Vendor Details
Company Name
Baidu
Founded
2000
Country
China
Website
ernie.baidu.com/blog/posts/ernie-image/