Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/FLUX.2-klein-4B-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-4B-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-4B-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
Commit History
-
Replace with paper-conformant codebook v2 artifact
Verified signature65e8a90 -
Upload FLUX.2 Klein OrbitQuant W4A4
Verified signature053a16e
-
Upload FLUX.2-klein-4B OrbitQuant W4A4 native visual artifact
Verified signaturef8facfa -
Refresh OrbitQuant CUDA AdaLN artifact
Verified signaturea58f488
-
Upload FLUX.2 Klein OrbitQuant W4A4 artifact
Verified signaturef9cf70a