How to use n8te0/highres_krea2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("n8te0/highres_krea2") prompt = "uhdmanscale" image = pipe(prompt).images[0]
Would be awesome as your loras is another level of quality.
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