Instructions to use KamCastle/amIreal44Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/amIreal44Diffusers 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/amIreal44Diffusers", 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:
- 05cd26a0891cd5c53aa8f50ad612d37ad1cef5d2b56ca1589557db5fbd14ff25
- Size of remote file:
- 335 MB
- SHA256:
- 4b5c0c86ec9b700ef46f23d77d915995a9c9deb3d9dd74b9ae6c81c32c54df16
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