Instructions to use softwareweaver/thinkdiffusion-xl-Olive-Onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/thinkdiffusion-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/thinkdiffusion-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:
- c614d1290022d0e4df1a5cd2e55c0c081c93f6f79768a87f948752b1142c982d
- Size of remote file:
- 137 MB
- SHA256:
- a4be1011836f72f4d5128946399737cc4ea32fe6baef600ed321717fffc90fb9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.