Text-to-Video
Diffusers
Safetensors
English
CogVideoXPipeline
ternary-quant
quantization
ternary
video-generation
dit
cogvideox
Instructions to use AsadIsmail/CogVideoX-2b-ternary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AsadIsmail/CogVideoX-2b-ternary with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AsadIsmail/CogVideoX-2b-ternary", 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:
- c38ea000bee9f37a02269a08630cb5914629a06c3d15d9b26e4c9304a2894fbd
- Size of remote file:
- 281 kB
- SHA256:
- 27772cc090ff6188538910a56d9f32298cbfd2bba4caffbd2e38774a7b20ba5c
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