Instructions to use codingggasdfasf/video-animator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codingggasdfasf/video-animator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codingggasdfasf/video-animator", 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
Upload denoising_unet.pth
Browse files- denoising_unet.pth +3 -0
denoising_unet.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9e5a2c34fac369e8a922972ca2210916c6af175a0dad907deccf6235816ad52
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size 3438374293
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