Instructions to use PAIR/text2video-zero-controlnet-canny-anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PAIR/text2video-zero-controlnet-canny-anime 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-anime", torch_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:
- 8f31a930d5412f00ea8e234f64fb25be8350bbf9a7373c099bc99a664efd773e
- Size of remote file:
- 492 MB
- SHA256:
- 56d5266a6064d631d363b5add59c7c38a5b7913924a85093be999832b09d0c3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.