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
- Draw Things
- DiffusionBee
- Xet hash:
- 74b673bc3133d13bcc69e116926aa74448b6ea4c2997b2ad8326f77df2a0a14d
- Size of remote file:
- 102 MB
- SHA256:
- d21c1d89e04bc7b1bde398630f3f2cb3481c365db89063594c134247cc025d79
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