Instructions to use KamCastle/Freal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/Freal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KamCastle/Freal", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b95f90269cb443ed7c21d117380b169d4ba0ec91c3c7ca57af4e8f4f02dc3711
- Size of remote file:
- 1.39 GB
- SHA256:
- a3779a3ccf0ba1ce5909c8472b552b8896c8e4e5fc1affaef934907bbdd27a88
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