Instructions to use nvidia/Cosmos-Predict2.5-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos-Predict2.5-14B 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
- Diffusers
How to use nvidia/Cosmos-Predict2.5-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/Cosmos-Predict2.5-14B", 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
Upload base/post-trained/e21d2a49-4747-44c8-ba44-9f6f9243715f_ema_bf16.pt with huggingface_hub
Browse files
base/post-trained/e21d2a49-4747-44c8-ba44-9f6f9243715f_ema_bf16.pt
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