Instructions to use rtgfreuui/CogVideoX-5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rtgfreuui/CogVideoX-5b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rtgfreuui/CogVideoX-5b", 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 configuration.json from rtgfreuui/CogVideoX-5b: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/rtgfreuui/CogVideoX-5b/resolve/main/configuration.json
- Command line
-
hf download hf://rtgfreuui/CogVideoX-5b/configuration.json
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curl -L -o configuration.json https://huggingface.co/rtgfreuui/CogVideoX-5b/resolve/main/configuration.json
56 Bytes
| {"framework":"Pytorch","task":"text-to-video-synthesis"} |