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stabilityai / stable-video-diffusion-img2vid-xt-1-1
Model's Last Updated: July 10 2024
image-to-video
Introduction of stable-video-diffusion-img2vid-xt-1-1
Model Details of stable-video-diffusion-img2vid-xt-1-1
Stable Video Diffusion 1.1 Image-to-Video Model Card
Stable Video Diffusion (SVD) 1.1 Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.
Please note: For commercial use, please refer to https://stability.ai/license .
Model Details
Model Description
(SVD 1.1) Image-to-Video is a latent diffusion model trained to generate short video clips from an image conditioning.
This model was trained to generate 25 frames at resolution 1024x576 given a context frame of the same size, finetuned from SVD Image-to-Video [25 frames] .
Fine tuning was performed with fixed conditioning at 6FPS and Motion Bucket Id 127 to improve the consistency of outputs without the need to adjust hyper parameters. These conditions are still adjustable and have not been removed. Performance outside of the fixed conditioning settings may vary compared to SVD 1.0.
- Developed by: Stability AI
- Funded by: Stability AI
- Model type: Generative image-to-video model
- Finetuned from model: SVD Image-to-Video [25 frames]
Model Sources
For research purposes, we recommend our
generative-models
Github repository (
https://github.com/Stability-AI/generative-models
),
which implements the most popular diffusion frameworks (both training and inference).
- Repository: https://github.com/Stability-AI/generative-models
- Paper: https://stability.ai/research/stable-video-diffusion-scaling-latent-video-diffusion-models-to-large-datasets
Uses
Direct Use
The model is intended for both non-commercial and commercial usage. You can use this model for non-commercial or research purposes under the following license . Possible research areas and tasks include
- Research on generative models.
- Safe deployment of models which have the potential to generate harmful content.
- Probing and understanding the limitations and biases of generative models.
- Generation of artworks and use in design and other artistic processes.
- Applications in educational or creative tools.
For commercial use, please refer to https://stability.ai/license .
Excluded uses are described below.
Out-of-Scope Use
The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model. The model should not be used in any way that violates Stability AI's Acceptable Use Policy .
Limitations and Bias
Limitations
- The generated videos are rather short (<= 4sec), and the model does not achieve perfect photorealism.
- The model may generate videos without motion, or very slow camera pans.
- The model cannot be controlled through text.
- The model cannot render legible text.
- Faces and people in general may not be generated properly.
- The autoencoding part of the model is lossy.
Recommendations
The model is intended for both non-commercial and commercial usage.
How to Get Started with the Model
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More Information About stable-video-diffusion-img2vid-xt-1-1 huggingface.co Model
Url of stable-video-diffusion-img2vid-xt-1-1
stable-video-diffusion-img2vid-xt-1-1 huggingface.co Url
Provider of stable-video-diffusion-img2vid-xt-1-1 huggingface.co
Other API from stabilityai
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