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:
- 01132dce65fd1c9b7fb102d6134a8e93ac7848b1d00ef57226c2f48041e9ca9b
- Size of remote file:
- 1.39 GB
- SHA256:
- e91e4b65c045b7cc4fb46dc7241476abbfaa72c30e3cf4309e739c29b66d6f90
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