Instructions to use kat123123/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kat123123/lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kat123123/lora") prompt = "realistic pastel colored alien in dessert, outdoors, wes anderson" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9b726e6eea24f8ca302b2fa867ed28810639eff37adec0d0ec737b478ac6d219
- Size of remote file:
- 6.59 MB
- SHA256:
- 0eb77c1198eaaa8369eddc995164e3951a9dad2e5b436ef0dc409c2a91046b8d
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