Instructions to use cutycat2000x/LoRA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000x/LoRA2 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-4.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cutycat2000x/LoRA2") 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
- Draw Things
- DiffusionBee

- Xet hash:
- 23e06afd6098b31b4bd7eb44c2973b2d8acecc72f03ab4bea561817a34305bf0
- Size of remote file:
- 1.1 MB
- SHA256:
- 9e2ff41976661ae1dce4267de20c6e28a573f356f29dadb9b2b9a2cb03e32ee8
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