Instructions to use leimu/Kaguya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leimu/Kaguya with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("leimu/Kaguya") prompt = "1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9b7928c44442035d79ea26754a759a34d4931c5c59f20d364d743a91e94cb620
- Size of remote file:
- 229 MB
- SHA256:
- da5584ac0549724cd271f442f2eb54debbe691c158b45c14ed1ed568f5252852
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