Instructions to use walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-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-Canny-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-Canny-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
Download optimizer.bin from walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-No-Background: direct link, hf CLI and curl.
- Browser
- Download file 5.46 GB
-
https://huggingface.co/walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-No-Background/resolve/main/optimizer.bin
- Command line
-
hf download hf://walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-No-Background/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-No-Background/resolve/main/optimizer.bin
5.46 GB
- Xet hash:
- 8dbb9514f0ffb2372d4bd1221e52c9cdd2c343cf756d70e414427cec2a51608d
- Size of remote file:
- 5.46 GB
- SHA256:
- b27773fd0e8f56d533cc8b65cc1fcbab79b3a40b5ba661233d56d516f1056329
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