Instructions to use walentines/SVD-Temporal-ControlNet-Car-Generator-Depth-No-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-Depth-No-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-Depth-No-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
SVD-Temporal-ControlNet-Car-Generator-Depth-No-Background / controlnet /diffusion_pytorch_model.safetensors
- Xet hash:
- a836b39ec40b90bf8dbdce9caa553956eec8dc86d08506c8392451f5fc8fd1d4
- Size of remote file:
- 2.73 GB
- SHA256:
- d7b3f4c29a03069f673bf1de022601d590aa0d9e054b171b1296c04625fd5902
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