Instructions to use mit-han-lab/svdq-int4-shuttle-jaguar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mit-han-lab/svdq-int4-shuttle-jaguar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mit-han-lab/svdq-int4-shuttle-jaguar", 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:
- 0ed37a5534462bf4ae4bee66ec6227330ab3d66618fba4ebd347d963b7c07eb3
- Size of remote file:
- 6.64 GB
- SHA256:
- 76dbee17e76a94d2e0ca5004907ae3af19a5f58aaaeafb87bb8dd2dbd75fd142
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