Instructions to use cutycat2000x/LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000x/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("cutycat2000x/InterDiffusion-3.8", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cutycat2000x/LoRA") prompt = "a smiling girl with sparkles in her eyes, walking in a garden, in the morning --style anime" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 4d6bceb3f42242fc1b3d02933c712e3a802397d65c41c32e30dd222342661429
- Size of remote file:
- 1.54 MB
- SHA256:
- b09fd77df1098611e703a4890354b921628fdce27c2301d1edf392e45369eb12
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