Instructions to use KamCastle/aardvark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/aardvark 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/aardvark", 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:
- 66629048aa17dbe1a10d0afeaea838096fb463ca472fb2ce13da6649c564c33a
- Size of remote file:
- 492 MB
- SHA256:
- e70a1e7bbbdf1530c7f1504ffa0de3b7f381be9be329272eb4e26dc32995b7ac
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