Instructions to use CNEFG/Raaaaaaaaah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CNEFG/Raaaaaaaaah with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WIBE-HuggingFace/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("CNEFG/Raaaaaaaaah") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 108764c0d6aa0759914d0b7fcf2f1841bd663152faafd25aa7e0678357763463
- Size of remote file:
- 6.94 MB
- SHA256:
- b15133bd8a871d6ac2f93a2d929ce79ad34e0a8ffd83db33b6fdc950927f8d21
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