text2image-gui VS Stable-textual-inversion_win

I read github

With the AMD guide

You can find NMKD here, and the readme should be quite simple to get it to work on your own machine for a basic SD setup: https://github.com/n00mkrad/text2image-gui

So assuming you are suing the "NMKD" GUI i found an existing issue on the github page: The Issue.

Source code is available here if you want to check that out, the download for the precompiled program is on itch.io.

The 1024x572 was from a comment talking about NMKD ,that mentions using OptimiseSD may run on less than 4GB.

Be sure to read the system requirements and the special AMD GPU info page.

Easiest way I have seen so far, working well for me. https://github.com/n00mkrad/text2image-gui/blob/main/DreamBooth.md

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