Buckets:
| import torch | |
| from diffusers import FluxPipeline | |
| from nunchaku import NunchakuFluxTransformer2dModel | |
| from nunchaku.utils import get_precision | |
| precision = get_precision() # auto-detect your precision is 'int4' or 'fp4' based on your GPU | |
| transformer = NunchakuFluxTransformer2dModel.from_pretrained( | |
| f"nunchaku-tech/nunchaku-flux.1-dev-colossus/svdq-{precision}_r32-flux.1-dev-colossusv12.safetensors" | |
| ) | |
| pipeline = FluxPipeline.from_pretrained( | |
| "black-forest-labs/FLUX.1-dev", transformer=transformer, torch_dtype=torch.bfloat16 | |
| ).to("cuda") | |
| image = pipeline( | |
| "face portrait of a 20 years old woman , gothic short blue hair, ruby collar, she is touch her cheek", | |
| num_inference_steps=50, | |
| guidance_scale=3.5, | |
| ).images[0] | |
| image.save(f"flux.1-dev-colossus-{precision}.png") | |
Xet Storage Details
- Size:
- 790 Bytes
- Xet hash:
- 722a269bb2febd539db76df99398803367c2c36bc4b2cfa4c31e7db4e486ec59
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