Instructions to use prism-ml/bonsai-image-binary-4B-unpacked 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-unpacked 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-unpacked", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add Flux2KleinPipeline model_index.json (full component map) and register in manifest
44b0ca7
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Add base_model metadata (black-forest-labs/FLUX.2-klein-4B) (#1)
- Add base_model metadata (black-forest-labs/FLUX.2-klein-4B) (8f80667ddd04d7ca2e8b85f5837010361f161584) Co-authored-by: Victor Mustar <victor@users.noreply.huggingface.co>c4d2feb
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initial commit
Co-authored-by: evan walters <evan walters@users.noreply.huggingface.co>245e948