Text-to-Image
Diffusers
Safetensors
MLX
ternary
1.58-bit
apple-silicon
on-device
diffusion
flux
prismml
bonsai
Instructions to use prism-ml/bonsai-image-ternary-4B-mlx-2bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prism-ml/bonsai-image-ternary-4B-mlx-2bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("prism-ml/bonsai-image-ternary-4B-mlx-2bit", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - MLX
How to use prism-ml/bonsai-image-ternary-4B-mlx-2bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir bonsai-image-ternary-4B-mlx-2bit prism-ml/bonsai-image-ternary-4B-mlx-2bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Draw Things
- DiffusionBee
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