ebsynth VS latent-diffusion

The only AI I can think of would be EbSynth, which would still require some frames to be fixed in Photoshop, but might work.

EbSynth - Transform Video by Painting Over a Single Frame

Download ebsyth from https://ebsynth.com/ , install it. (Make sure your anit-virus did not block it, or else it won't works)

EbSynth (Used to interpolate/animate using painted-over or stylized keyframes from a driving video, à la Joel Haver) https://ebsynth.com/

There is something called ebsynth on GitHub: https://github.com/jamriska/ebsynth

Anything AI is going to be divisive, but I think you already have a pretty good grasp of the issue. Adjacent to this there is stuff like EBSynth https://ebsynth.com/ which rotoscopes video footage. Joel Haver uses it to make all his animations solo and has a video going over the process - https://www.youtube.com/watch?v=tq_KOmXyVDo

Stable Diffusion XL (SDXL) is the latest text-to-image generation model developed by Stability AI, based on the latent diffusion techniques. SDXL has the potential to create highly realistic images for media, entertainment, education, and industry domains, opening new ways in practical uses of AI imagery.

Here's a link to the early latent-diffusion git, that might be able to create a blank model (I haven't tested it): https://github.com/CompVis/latent-diffusion

Latent diffusion could work for you: https://github.com/CompVis/latent-diffusion (https://arxiv.org/abs/2112.10752)

There are a lot but the one implemented as LDSR in most stable guis is this one. https://github.com/CompVis/latent-diffusion

CompVis/latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models (github.com)

The "retrieval based model" refers to https://github.com/CompVis/latent-diffusion#retrieval-augmen..., which uses ScaNN to train a knn embedding searcher.

Stability is basically https://github.com/CompVis/latent-diffusion + training data.

Found relevant code at https://github.com/CompVis/latent-diffusion + all code implementations here

DDIM and PLMS were the original samplers. They were part of Latent Diffusion's repository. They stand for the papers that introduced them, Denoising Diffusion Implicit Models and Pseudo Numerical Methods for Diffusion Models on Manifolds.

yes, https://github.com/CompVis/latent-diffusion