stable-diffusion VS Stable-textual-inversion_win

it's basically the same as deforum but less features and an order of magnitude easier to use. so it's text to img to img.

It's a free and open source project made by a team of volunteers (quite small atm) in our free time. By its very nature, anyone can join and contribute stuff. You can find it on Github https://github.com/deforum/stable-diffusion and on Discord https://discord.gg/deforum

Using a modified version of DeForum notebook, I took the timestamped lyrics generated by whisper as prompt and added " in the style of an isometric video game art" to every prompt to create this video.

*PICK\* (Updated Sep. 5, 2022) Colab notebook Deforum Stable Diffusion by deforum. txt2img. img2img. Inpainting. Uses deforum repo. Video tutorial #1. Video tutorial #2.

Or making your own version with this fork and code from the colab above if you wanna do it locally.

Very nice. Add features from hlky's webui (https://github.com/hlky/stable-diffusion) and deforum-like (https://github.com/deforum/stable-diffusion) features (ideally with some sort of timeline editor for rotation/translation/zoom) and I will support you on the Patreon.

This was generated using an AI model called deforum_stable_diffusion

You can do very similar types of animation with the deforum notebook: https://github.com/deforum/stable-diffusion

Would it be possible for you to add this new code in the "regular" textual inversion code? like in this one : https://github.com/nicolai256/Stable-textual-inversion_win - I'm using a 3090, batch size of 3, workers 10, size 384 - works pretty good but if your modification could reduce the VRAM, it could go faster.

Rinongal and nicolai256 versions, the latter of which is also the one explained in Nerdy Rodent's youtube video https://www.youtube.com/watch?v=WsDykBTjo20, work but they also have an issue of lacking editability in comparison to one made by huggingface's collab which is followed up in a very long issue on Rinongal's Github. You can add accumulate_grad_batches: 4 to the end of the finetune files like shown in Nerdy Rodent's video at this time stamp to try to alleviate this issue, but the quality isn't as good as one made in the online collab.

the prompt for this one was "a portrait of beautiful young \, painting by Michael Garmash and Kilian Eng, in the style of &",* after training * with pictures of my GF and & with all the Disco Elysium portrait pictures. using the stuff here: https://github.com/nicolai256/Stable-textual-inversion_win, also, thank you u/ExponentialCookie.

Here is an alternate fork of the repo you talked about: https://github.com/nicolai256/Stable-textual-inversion_win

From my understanding the only finetuning people are doing currently is using textual inversion (this https://github.com/nicolai256/Stable-textual-inversion_win/ and this https://www.reddit.com/r/StableDiffusion/comments/wvzr7s/tutorial_fine_tuning_stable_diffusion_using_only/), but this seems very different from the real finetuning Emad was talking about, and what others (like NovelAI) are doing?

Cred. to florishdiffusion for showing these gens. I'm not knowledgeable on how to use text inversion but it is possible to do in Free Colab from this source

what is your --init_word? also what is your prompt for generation? i have doing person training for 6 day and not getting a good results damn! i use https://github.com/nicolai256/Stable-textual-inversion_win