Instructions to use walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-Background with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-Background with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-Background", 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
- Xet hash:
- e05a7da58360a3dbc93d914d257332dff6197e5ee5de8119eda44a5fbda447be
- Size of remote file:
- 5.46 GB
- SHA256:
- 3c3351dc40e1be283e379ecd2074df8335dc395f50c43e44489da97f661f2339
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