Instructions to use zai-org/CogVideoX-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zai-org/CogVideoX-2b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zai-org/CogVideoX-2b", 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
Commit History
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Upload VAE in fp32 (#13)
zR +1: a-r-r-o-w
Verified signature- Upload folder using huggingface_hub (8e2522dfa48fd31a6d8f9564eeee69593e5d15ae) - Update vae/config.json (747cfc9412c446b6d442aa13bcdf79b800763c75) - Update vae/config.json (3c9d823cba79e879738d89c3e72a8348ff9aa51b) Co-authored-by: Aryan V S <a-r-r-o-w@users.noreply.huggingface.co>1137dac
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config
zR39015db
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Update vae config to remove unused parameters (#9)
zR +1: a-r-r-o-w
Verified signature- Update vae config to remove unused parameters (102080da924c0ab684abeeca4b061ec7dfb7d40c) Co-authored-by: Aryan V S <a-r-r-o-w@users.noreply.huggingface.co>949aa67
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init
Ubuntu91597cf