Instructions to use aejion/AccVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aejion/AccVideo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aejion/AccVideo", 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_2/flax_model.msgpack from aejion/AccVideo: direct link, hf CLI and curl.
- Browser
- Download file 1.71 GB
-
https://huggingface.co/aejion/AccVideo/resolve/main/text_encoder_2/flax_model.msgpack
- Command line
-
hf download hf://aejion/AccVideo/text_encoder_2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/aejion/AccVideo/resolve/main/text_encoder_2/flax_model.msgpack
1.71 GB
- Xet hash:
- 8eea36a84e57e6617853d8011ebdbf2df119daaa1c8510e6fbcaf2f2c23591ce
- Size of remote file:
- 1.71 GB
- SHA256:
- 156f677ed4495acd1ec7197249c091b85c240267c82f2f7f2e4eae4177931fed
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