Instructions to use softwareweaver/ColossusProject-xl-Olive-Onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/ColossusProject-xl-Olive-Onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("softwareweaver/ColossusProject-xl-Olive-Onnx", 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:
- d901b854c7c2d9a8d04bbc40c00e45cdce7e25e9054dd40c603738e252dd5bd0
- Size of remote file:
- 102 MB
- SHA256:
- fa9846d0556662040ddee6b26e942247647b848a5fb86c5d5799a2f2c8674e63
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.