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
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README.md
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# SVDiff-pytorch - svdiff-library/svdiff_dog_example
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These are SVDiff weights for runwayml/stable-diffusion-v1-5. The weights were trained on photo of a sks dog
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# SVDiff-pytorch - svdiff-library/svdiff_dog_example
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These are SVDiff weights for runwayml/stable-diffusion-v1-5. The weights were trained on photo of a sks dog as Single-Subject Generation.
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