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
| eb3fb3b7e554336bd5d0336728be8a16bcb5f593098701ea71854f9aea7d1e09 README.md | |
| 1b687a0d491f4b40cf41fbb6badf94203c657f8ea7f6a534e3a82e23e540d65f assets/image_generation_comparison_matrix.webp | |
| 9a5f9ed0ce60e8440655395beec303ef6ce6a8c7e96384d8f42585ef8b5d3db7 benchmark/summary.json | |
| bd85d0a739b4f5ddf2e3a109c8163ab019ba4a7f68ed07b4ff4d3362b41c62a7 model.safetensors | |
| 4cf21005259004e390579286648418945378ef08022e396d14e165ae13672f2e model_index.json | |
| e4f2fff365e0b0b6019117abb39ba2817c92173521be726e02919d6456929411 orbitquant_codebooks.safetensors | |
| b7f2eeb17fd061b5a61a0c22ca6c730d85b1aa985809c77210b8de009c2a326a orbitquant_manifest.json | |
| 3a4014dbeee3988e275fcae07cc9312aceab5d14fb06c55f9a6548d1d7e2fa17 orbitquant_rotations.safetensors | |
| 98cbd0ace83c9df8c3955eb1e3e2d41bca129b5d6525cfba21648b87119c6e2e prompts.json | |
| d90798b18112e3a3b6af9e17913426ee6b500a3ab57e04b6df4cedb306a4cdd8 quantization_config.json | |