Instructions to use rityak/LumiNetaMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rityak/LumiNetaMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rityak/LumiNetaMix", 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:
- 5356b87344169053a965126a9acb85eeda1a31dabcde32839a1dbf99a0330047
- Size of remote file:
- 10.6 GB
- SHA256:
- 6c0da4961c3197da0383548b0bb99bec5b4ab8870db73e35cc671d1428a72d35
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