Instructions to use softwareweaver/HaveAll-Olive-Onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/HaveAll-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/HaveAll-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:
- 84377dbbb5ee723897222249c0f25950a5d78bbc2ea78feb4fac5081d8892a46
- Size of remote file:
- 99 MB
- SHA256:
- cb1a666d98593a93e50c54b10cce755b616a0f999d5b634c73ec1a9e4032f3f6
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