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license_name: stabilityai-ai-non-commercial
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- novel-view-synthesis
inference: false
pipeline_tag: image-to-video
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Stable Views
Project Page
Stable Views is a 1.3 billion parameter multi-view diffusion model capable of generating 3D consistent novel views of a scene, given any number o input views and target cameras. For more information, please refer to our paper and webpage.
Model Description
- Developed by: Stability AI
- Model type: Transformer image-to-video model
- Model details: This model was trained to generate 3D consistent novel views of a scene given any number of input views and target cameras. Users can specify the target camera trajectory freely, spanning across a large spatial range. Our model is capable of generating large viewpoint changes and temporally smooth samples. As a result, our samples maintain high consistency without requiring additional NeRF distillation, streamlining the view synthesis pipeline in the wild. Furthermore, we show that our method can generate high-quality videos lasting up to half a minute with seamless loop closure.
License
- Non-Commercial License: Free for research and non-commercial use by organizations and individuals. Please refer to Stability AI's Non-Commercial License, available at https://huggingface.co/stabilityai/stableviews/blob/main/LICENSE.txt, for more information.
Model Sources
- Repository: https://github.com/Stability-AI/stableviews
- Tech report: TODO
- Video summary: TODO
- Project page: https://stableviews.github.io/
- arXiv page: TODO
Usage
For usage instructions, please refer to our GitHub repository.
Intended Uses
Intended uses include the following:
- Generation of artworks and use in design and other artistic processes.
- Applications in educational or creative tools.
- Research on reconstruction models, including understanding the limitations of these models.
All uses of the model should be in accordance with our Acceptable Use Policy.
Out-of-Scope Uses
The model was not trained to be factual or true representations of people or events. As such, using the model to generate such content is out-of-scope of the abilities of this model.
Safety
As part of our safety-by-design and responsible AI deployment approach, we implement safety measures throughout the development of our models, from the time we begin pre-training a model to the ongoing development, fine-tuning, and deployment of each model. We have implemented a number of safety mitigations that are intended to reduce the risk of severe harms. However, it is the responsibility of developers to conduct their own testing and apply additional mitigations based on their specific use cases.
For more about our approach to Safety, please visit our Safety page.
Contact
Please report any issues with the model or contact us:
- Safety issues: safety@stability.ai
- Security issues: security@stability.ai
- Privacy issues: privacy@stability.ai