Image-to-Video
Cosmos
Diffusers
Safetensors
cosmos3_omni
nvidia
cosmos3
vllm-omni
sglang
sglang-diffusion
video-generation
Instructions to use nvidia/Cosmos3-Super-Image2Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Super-Image2Video 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/Cosmos3-Super-Image2Video with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/Cosmos3-Super-Image2Video", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Add Cosmos3 family tree graph
#10
by tangyue0820 - opened
- README.md +4 -0
- images/cosmos3-super-image2video-graph.png +3 -0
README.md
CHANGED
|
@@ -23,6 +23,10 @@ tags:
|
|
| 23 |
|
| 24 |
# Model Overview: Cosmos3-Super-Image2Video
|
| 25 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
## Description
|
| 27 |
|
| 28 |
Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs. It serves as a foundational building block for a broad range of Physical AI applications and research spanning world understanding, world generation, simulation, and embodied policy learning.
|
|
|
|
| 23 |
|
| 24 |
# Model Overview: Cosmos3-Super-Image2Video
|
| 25 |
|
| 26 |
+

|
| 27 |
+
|
| 28 |
+
The highlighted checkpoint, Cosmos3-Super-Image2Video, is a post-trained image-to-video variant of the Cosmos3-Super base model.
|
| 29 |
+
|
| 30 |
## Description
|
| 31 |
|
| 32 |
Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs. It serves as a foundational building block for a broad range of Physical AI applications and research spanning world understanding, world generation, simulation, and embodied policy learning.
|
images/cosmos3-super-image2video-graph.png
ADDED
|
Git LFS Details
|