Instructions to use KamCastle/realMint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/realMint 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/realMint", 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:
- 2675a51c54e6b259c88941be3f19e1c79418def385ebb424a8731b63855e9a34
- Size of remote file:
- 492 MB
- SHA256:
- 2da8b206d07390f82ba463f487a50805271072fad0a6d5ea5c7955aedb17de1e
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