prompt-to-prompt VS latentblending

Found relevant code at https://github.com/google/prompt-to-prompt + all code implementations here

Null text inversion produces almost a perfect textual inversion, and then allows you to edit it with a prompt, like instruct2pix. https://github.com/google/prompt-to-prompt

First we had Google's prompt to prompt https://github.com/google/prompt-to-prompt

Narratives can also work, like "walking down forest path". However, it'll be difficult to keep the character positioned the way you want with that. If you're a techie somewhat, you can try to use https://github.com/google/prompt-to-prompt to generate someone you like and then see if you can get a better background without changing the character.

Google has a nice paper on text-guided image2image translation by inferring the (random) init image and changing the prompt: https://github.com/google/prompt-to-prompt

So it ought to be pretty easy to implement latent blending on source and target images which were not generated by SD?

latent blending: https://github.com/lunarring/latentblending This one has a lot of potential, since it can be used to transition from one prompt to the next. It interpolates between the prompst and also the image latents themselves.

you can stay tuned also on twitter https://twitter.com/j_stelzer or github https://github.com/lunarring/latentblending/

yip, long interpolation using experimental version of latent blending (https://github.com/lunarring/latentblending/). you will be able to do this yourself very soon with a nice gradio UI.

Github: https://github.com/lunarring/latentblending/

Generated some images using that model and picked ones that had similar composition to create the videos using latent blending: https://github.com/lunarring/latentblending/

Latent blending is a amazing, and produces effects quite different to the available extensions. https://github.com/lunarring/latentblending