Text-to-Image
Diffusers
Safetensors
MLX
Flux2KleinPipeline
1-bit
apple-silicon
on-device
diffusion
flux
prismml
bonsai
Instructions to use prism-ml/bonsai-image-binary-4B-mlx-1bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prism-ml/bonsai-image-binary-4B-mlx-1bit 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-binary-4B-mlx-1bit", 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-binary-4B-mlx-1bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download prism-ml/bonsai-image-binary-4B-mlx-1bit --local-dir bonsai-image-binary-4B-mlx-1bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
- Atomic Chat
bonsai-image-1B
#2
by willowoods - opened
No description provided.
pashak changed pull request status to closed