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:
- 11b56f3425638a78a77a8d8590d1bf8f58fe1ac2e85c3d963655c99a78651f16
- Size of remote file:
- 492 MB
- SHA256:
- 53acbf5132d7a7d408f631b554a2dd485c626e7ea1c68cba0068376c400c18d0
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