SALT aims to be fully AI-generated and has great examples of what's currently possible if you are willing to put in the effort to combine existing tools.
Generating even short clips requires many images. #stablediffuion is currently the preferred option since it can be scripted and run locally. It's also improving rapidly 👇
8. The notebook from @DigThatData does much more than just generate prompts + images. It generates transcripts of YouTube videos and turns them in to a full videos.
You can modify the notebook to use your own script or just have fun making music videos.
12. For a more immediate (and arguably more aesthetically pleasing) way of turning AI-generated images in to video, check out the latest @deforum_art notebook and Github repo.
Heck, even writing this thread about hypothetical ways to make a movie with AI was a lot of work. When is GPT-4 going to show up and start writing these things for us?
Probably sometime in 2023.
Follow @aifunhouse for more tutorials, explainers, explorations, and #AI fun.
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1. Last week @openai finally removed the waitlist for DALL-E!
Of the AI image creation tools out there, DALL-E is arguably the most accessible.
Today's thread provides a hands-on tutorial for new DALL-E users looking to generate visually consistent assets.
Sticker Time!
2. If you've never used DALL-E, head on over and sign up now!
First announced in April, DALL-E is the OG text-to-image ML model. For months, access was extremely limited, but now everyone, including you, can log in and take this dream machine for a spin.
DreamBooth, Instant NeRF, Make a Video, and more ... let's get in!
🤖🧵👇🏽
1. First up, DreamBooth, a technique from Google Research originally applied to their tool Imagen, but generalizable to other models, allows for fine-tuning of text-to-image networks to allow generation of consistent characters across contexts and styles. dreambooth.github.io