Instructions to use Emyrus/LITEmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Emyrus/LITEmix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Emyrus/LITEmix", 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:
- 9b2e7c1ae2b51ba6e4a12c255b6cdb2b39414bb44b855ec5ed268a76675807d0
- Size of remote file:
- 4.27 GB
- SHA256:
- 84068d459d6073ef36c82e14d3dd583054dd0eae1e861d66e97f7b5f0d5b4767
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