Cosmos3-Super-Image2Video Animates Stills with a Single Prompt
Cosmos3-Super-Image2Video is a new open-source AI model that converts a single image into a short video clip guided by a text description. Released by NVIDIA, the 64-billion-parameter tool along with Cosmos3-Nano is part of the Cosmos3 family built for Physical AI tasks. It generates temporally coherent sequences that follow the supplied image and instructions, bringing stills to life.
NVIDIA developed this model and released it on Hugging Face under a license that allows commercial and non-commercial use. It runs on GPU-accelerated systems and includes safety guardrails out of the box. Privacy-focused professionals can keep source images local by running it on their own hardware.
What Cosmos3-Super-Image2Video can do
Key Features
- Turn any image into a video.
- Control motion with plain text prompts.
- Output videos up to 400 frames.
- Supports up to 720p resolution.
- Works with Diffusers and vLLM.
- Built-in safety checker.
This release suits creative professionals and small studios wanting to quickly generate video clips from storyboards or product photos without uploading assets to the cloud. Privacy-conscious users benefit from keeping all image data on their own machines, a big plus for unreleased designs. Serious hobbyists with powerful consumer GPUs can experiment with high-quality image-to-video generation at home.
Developer notes and limitations
NVIDIA cautions that Cosmos3-Super-Image2Video can produce temporal inconsistency, morphing objects, or unrealistic physics, especially on long videos. The model is optimized for data-center GPUs like H100, but enabling layerwise offloading helps it run on less powerful cards. Users should apply additional testing before using outputs in critical projects, as the model does not guarantee accurate simulations.
"Given one input image and text instructions, generate temporally coherent video sequences that are consistent with the provided visual content."— Source: Hugging Face
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