Buckets:

Mercity/FluxDistill / build_nunchaku /src /examples /flux.1-dev-colossus.py
Pranav2748's picture
download
raw
790 Bytes
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

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.