Instructions to use Kev09/Lorakev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kev09/Lorakev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kev09/Lorakev") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Upload kimetsu_no_yaiba_style_offset.safetensors
Browse files
kimetsu_no_yaiba_style_offset.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:43a1152b75f8613a9e5d01b8e1331e1a04e4030f81c3c7ca2124db5d9ffa19b4
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size 151108831
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