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", torch_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:
- c4b9080f85557b72776e301220413a522b186fb91f4754f67831a5edaebc91cb
- Size of remote file:
- 335 MB
- SHA256:
- 109061aade2437c870a6693f467fea65a32023de3bd3a72ef53b124d3f201632
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