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:
- 0b6edb2c141a7f0f45b2e782e902b5acf0d6a2e9c1111f23226e8678797b7d3a
- Size of remote file:
- 1.14 MB
- SHA256:
- 55eebf18f09aa4b893939e16d59bf08667c2b97c11496eb508e02632878a27d6
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