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", 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:
- 9e3f63ce1876e5c3c3356ff5d5d7689f35000fad3f0b39b2c25829f169983bde
- Size of remote file:
- 3.44 GB
- SHA256:
- 9f575f06c7989d5bd5da403e3ffea2a67dde008b97638064a4447d62340db3db
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