Generate motion from an input image
Condition the diffusion model on a still frame to produce a video sequence following that image. These releases use image conditioning rather than text-prompt control.
Generate short video sequences from a still image with Stability AI’s Stable Video Diffusion models. Developers and researchers can run the 14-frame or 25-frame release on their own infrastructure under the applicable model license.
Stable Video covers Stability AI’s Stable Video Diffusion image-to-video models. Supply a still image as the conditioning frame to generate a short sequence, using the 14-frame release or its 25-frame XT variant. Both are documented for 576 × 1024 image conditioning.
This is a self-hosted model workflow for developers and researchers. The published model repositories provide checkpoints and point to inference code; users arrange their own computing environment. The released models do not support text control, and outputs can have limited motion, distorted faces or illegible text.
Condition the diffusion model on a still frame to produce a video sequence following that image. These releases use image conditioning rather than text-prompt control.
Use the base SVD release for 14 frames or the XT variant for 25 frames. XT is fine-tuned from the 14-frame model; both document 576 × 1024 conditioning.
Use the published checkpoints with the linked generative-models code to integrate inference into a local research or development workflow, subject to the model license.
Start from a static visual and inspect the generated short sequence when developing an animation or design concept.
Compare the model variants and examine motion, visual artifacts or other limitations on chosen conditioning images.
Evaluate self-hosted image-to-video generation within an educational or creative tool, with deployment and licensing arranged for the intended use.
The released SVD and SVD-XT models take a still image as input and cannot be controlled through text. Use the image as the starting frame for generation.
The sequences are short and may have little motion or slow camera pans. Faces and people can be distorted, text may be illegible, and the output is not a factual record of a person or event. Review generated results before use.
Use the official model repository and its linked generative-models code to set up inference in your own environment. Select the 14-frame or 25-frame release and provide a conditioning image. Computing resources and deployment are your responsibility.
The official model card permits non-commercial or research use under the applicable model license and directs commercial users to Stability AI’s official licensing page. Check the license and use policy for the selected model and intended use; you supply the computing resources.
Traffic data is for reference only.
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