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g3fpytorch_lora_weights.safetensors — final adapter (~5.4 MB)sample_*.jpg — step-1500 previews1import torch
2from diffusers import Krea2Pipeline
3
4pipe = Krea2Pipeline.from_pretrained(
5 "krea/Krea-2-Turbo",
6 torch_dtype=torch.bfloat16,
7).to("cuda")
8pipe.load_lora_weights("tmtmtm45/g33-lokr")
9image = pipe(
10 "g3f, portrait, soft window light",
11 num_inference_steps=8,
12 guidance_scale=0.0,
13).images[0]
14image.save("out.png")g3f.