Instructions to use Lowkey17/cas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lowkey17/cas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lowkey17/cas", 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:
- bac3660f5d4bedc074fb8dd986cfc12e66c6d180ac0076a30c4c75999b55555f
- Size of remote file:
- 246 MB
- SHA256:
- d748658dde6127e6dcb962671c7a5cbfb7ff8e6b10fa78493234a0d112386b2a
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