Instructions to use PAIR/text2video-zero-controlnet-canny-arcane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PAIR/text2video-zero-controlnet-canny-arcane with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PAIR/text2video-zero-controlnet-canny-arcane", 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 text_encoder/pytorch_model.bin from PAIR/text2video-zero-controlnet-canny-arcane: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/PAIR/text2video-zero-controlnet-canny-arcane/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://PAIR/text2video-zero-controlnet-canny-arcane/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PAIR/text2video-zero-controlnet-canny-arcane/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 2fe9991d3ec5051f48ace89f005d6971e0e83c1389b22c9bc7271f8f3183b140
- Size of remote file:
- 492 MB
- SHA256:
- f3c6b6e2f48e729c9d667ce85c6f741a73f3abf289a30047482c1998d137edf3
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