Instructions to use diffusers/CogVideoX-5b-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/CogVideoX-5b-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/CogVideoX-5b-nf4", 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
- Xet hash:
- be502a3bb39fc4e78d5b9040f4f312cb133327286a38368cc2a0b4c1943169c2
- Size of remote file:
- 3.14 GB
- SHA256:
- 64ea24bb350b75f8b8c4280cb6a1a63384eff71c1ee49e9a77f5e08f61bbeadf
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