Instructions to use russc821/CogVideoX-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use russc821/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("russc821/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
Download .gitignore from russc821/CogVideoX-2b: direct link, hf CLI and curl.
- Browser
- Download file 83 Bytes
-
https://huggingface.co/russc821/CogVideoX-2b/resolve/main/.gitignore
- Command line
-
hf download hf://russc821/CogVideoX-2b/.gitignore
-
curl -L -o .gitignore https://huggingface.co/russc821/CogVideoX-2b/resolve/main/.gitignore
83 Bytes
| output/ | |
| *__pycache__/ | |
| samples*/ | |
| runs/ | |
| checkpoints/ | |
| master_ip | |
| logs/ | |
| *.DS_Store | |
| .idea |