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:
- b37a3f16df268018e4630b22055aff9e2698def9fc21e6b34d5ad2983ebc3ac6
- Size of remote file:
- 3.44 GB
- SHA256:
- a350e2a4900841eeae6a70b5922f20bd58ea654838aad9ba3704f3e1fe59e4ad
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