Instructions to use WaveCut/FLUX.2-klein-9B-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/FLUX.2-klein-9B-OrbitQuant-W4A4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/FLUX.2-klein-9B-OrbitQuant-W4A4", 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
- Xet hash:
- 36c58d2df5d48348a17d9b2ef451c707e2153ce1fecd3cfeb2dd1c1090428d27
- Size of remote file:
- 10.9 MB
- SHA256:
- fcabc0bc3a13a2bbbcb91ad7e2dea6b2731e0dbc5e563df40890928d19fa4e4a
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