Instructions to use Neottinu/hemixReal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Neottinu/hemixReal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Neottinu/hemixReal", 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:
- 9d8c6a8a3b2307eb82f75ef2f04eb1d248f31f00677f30a738c9b6c30d1bf9aa
- Size of remote file:
- 335 MB
- SHA256:
- 36f05d745d590256b802a2e8c55a18fc3e4f9775912fd3738c799db381c0bd20
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