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:
- 54f2e22012def39bdf1657f921c6ea1afcdfe88f0404990efa0d674edbe7141e
- Size of remote file:
- 492 MB
- SHA256:
- a6ddf53e7863adb9f9274ab0d70a72a2b55a21e92204d1ae623bb3d9ce1df75d
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