Instructions to use DanielMarius/dms-cogvideox-5b-1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DanielMarius/dms-cogvideox-5b-1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DanielMarius/dms-cogvideox-5b-1-5", 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
CogVideoX 5B 1.5
This Hugging Face model repository is a named bundle from the Drakula Media Studio project.
- Model name:
CogVideoX 5B 1.5 - Artifact family:
checkpoint/diffusion model, vae/decoder - License:
UNKNOWN - Payload files:
8 - Payload size:
11574634102 bytes
The repository name follows the model or model family. Generic files such as pytorch_model.bin, model.pt, model.safetensors, or .bin are payload filenames inside this repository, not separate repositories.
Provenance
The files were collected from the local DMS/Drakula model stores. Source paths and candidate content identities are recorded in DMS-MODEL-NOTES.md.
Usage
Use the files according to the upstream model family and the directory names preserved in this repository. Check the upstream project documentation before redistribution or production use.
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