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", torch_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:
- cac2b9098c5b5c883229e8104b2d324af955dbfcc31bfc17d7c8b6f5f4cb9331
- Size of remote file:
- 2.78 GB
- SHA256:
- f570ddd6e20791845654ce659d023026fb00fc1b07690d77b81871d34d7b7b25
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.