Instructions to use softwareweaver/SSD-1B-Olive-Onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/SSD-1B-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/SSD-1B-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
Download vae_decoder/model.onnx from softwareweaver/SSD-1B-Olive-Onnx: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/softwareweaver/SSD-1B-Olive-Onnx/resolve/main/vae_decoder/model.onnx
- Command line
-
hf download hf://softwareweaver/SSD-1B-Olive-Onnx/vae_decoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/softwareweaver/SSD-1B-Olive-Onnx/resolve/main/vae_decoder/model.onnx
102 MB
- Xet hash:
- ae3f3b4ab351e4feca13e9f02a20d8d57fa2af12a4fc2c23de318dffd01738ef
- Size of remote file:
- 102 MB
- SHA256:
- d42f1cd36daa2a54a36606416200798de7c50358ffd412337750f067a9cb1c5e
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