Instructions to use teasan/endlessMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use teasan/endlessMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("teasan/endlessMix", 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

- Xet hash:
- e6a32ac9eba1f809cd0bcedb4f0e6a00ca16c7dc50682794ce13d653cfe21ca6
- Size of remote file:
- 2.29 MB
- SHA256:
- 7535ad3ce8c145c6d544f784b22ebbd34b3347fa782a9cfe6ae01ee8e2e18954
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.