Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/FLUX.2-klein-4B-OrbitQuant-W2A4 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-W2A4 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-W2A4", 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
FLUX.2-klein-4B-OrbitQuant-W2A4 / assets /original_vs_orbitquant_flux2-native_seed0_W2A4_english-text-rendering.webp

- Xet hash:
- 37cd24009d5ab7b56e8ca3c435d4bcd55ba9d9746dfb78f710b3160ed072cd44
- Size of remote file:
- 153 kB
- SHA256:
- 080c3694e72c7686f475667890af8dab3a883177fda8ad7fbf416dcf33097adf
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