Instructions to use Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- NeMo
How to use Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World with NeMo:
# tag did not correspond to a valid NeMo domain.
- Diffusers
How to use Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World", 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 config.json from Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World: direct link, hf CLI and curl.
- Browser
- Download file 106 Bytes
-
https://huggingface.co/Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World/resolve/main/config.json
- Command line
-
hf download hf://Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World/config.json
-
curl -L -o config.json https://huggingface.co/Arsh9210/Cosmos-1.0-Diffusion-14B-Video2World/resolve/main/config.json
106 Bytes
| { | |
| "input_types": [ | |
| "text_and_video", | |
| "text_and_image" | |
| ], | |
| "model_size": "14b" | |
| } |