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TheDrone View V2 feature enables you to create a video with a duration of your choice from a drone's perspective by providing a description or prompt for a scene. While the drone is set to autopilot mode, you can modify its movements and responses to obstacles inside theDroneArgs class. See the playlist below for examples of video outputs.

Just a heads up, the art style in the videos are, for the most part, determined by the text-to-image model you choose, and is not influenced by Astro Stable Diffusion methods.

Text-to-video generation for Drone View V3, Virtual Reality, Panorama Photography, and Pan Shot are currently being developed.

Download the required packages and repositories.

pip install -r requirements.txtgit clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git

Download and save a Stable Diffusion model to the./stable-diffusion-webui/models/Stable-diffusion folder. Lastly, launchwebui-user.bat in./stable-diffusion-webui before running Astro Stable Diffusion plugins.

This repository is similar toDeforum Stable Diffusion in that both are based on the image-to-image and text-to-image methods of Stable Diffusion. However, Astro Stable Diffusion differs in that it uses non-interpolation methods to create videos.

Earlier work has been moved to theprevious folder, but it still provides useful AI Art helpers.

@article{Forsgren_Martiros_2022,  author = {Forsgren, Seth* and Martiros, Hayk*},  title = {{Riffusion - Stable diffusion for real-time music generation}},  url = {https://riffusion.com/about},  year = {2022}}

@article{DBLP:journals/corr/abs-2005-12872,  author    = {Nicolas Carion and               Francisco Massa and               Gabriel Synnaeve and               Nicolas Usunier and               Alexander Kirillov and               Sergey Zagoruyko},  title     = {End-to-End Object Detection with Transformers},  journal   = {CoRR},  volume    = {abs/2005.12872},  year      = {2020},  url       = {https://arxiv.org/abs/2005.12872},  archivePrefix = {arXiv},  eprint    = {2005.12872},  timestamp = {Thu, 28 May 2020 17:38:09 +0200},  biburl    = {https://dblp.org/rec/journals/corr/abs-2005-12872.bib},  bibsource = {dblp computer science bibliography, https://dblp.org}}