Instructions to use CNEFG/Graaaaaaaaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CNEFG/Graaaaaaaaa 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-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("CNEFG/Graaaaaaaaa") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f094c5c11e28df7aff72b3be6047fed5ab61f2c99e1aaeb3b5a1b97288a38895
- Size of remote file:
- 63.1 MB
- SHA256:
- d9cd0879dca15eec3ab6ad75ed84b787762992e18308ef29e7e25d24184827cc
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