Instructions to use svdiff-library/svdiff_dog_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use svdiff-library/svdiff_dog_example with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("svdiff-library/svdiff_dog_example", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e4ba357a58c8dbc7ab284d3559826fedb36eb80bd19d2c844b1ab14ec6673ed7
- Size of remote file:
- 935 kB
- SHA256:
- c9f4c74fa0a0dffe7d70271f01d0583e5ff62348e1197fcdddedd390d4c5ff5b
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