ULTIMATE FREE TEXTUAL INVERSION In Stable Diffusion! Your FACE INSIDE ALL MODELS!

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Textual Inversion is a method that allows you to use your own images to train a small file called embedding that can be used on every model of Stable Diffusion. You can train any subject you want (a character, a pet, an object, a concept, a style, etc..), all of that with a few images. These small files are very easy to share with the community since they only take a few kilobytes of space. In this video, I will show you how you can train your own face using Textual Inversion embeddings and then use that embedding to apply your face to any models of Stable Diffusion made by the ai community and all of that only by training it one time!

Did you manage to train an embedding? Let me know in the comments!
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progressive learning rates:
0.05:10, 0.02:20, 0.01:60, 0.005:200, 0.002:500, 0.001:3000, 0.0005

#stablediffusion #textualinversion #stablediffusiontutorial
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If you're looking for a quick copy and paste for the learning rates, here ya go :)
0.05:10, 0.02:20, 0.01:60, 0.005:200, 0.002:500, 0.001:3000, 0.0005

magneticanimalism
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for everyone getting the error: completet training after 0 steps. Set the batch size to 1 and increase the gradient accumulation instead. worked for me :)

Innere_Stille
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Just want to say, the way you word your explanations and go over them with examples and hypotheticals when necessary is really good. It's rare to run into anyone, especially on YouTube, who presents relatively complex steps and concepts with such clarity.

m
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I train multiple embeddings daily. My style differs from yours, but I do not doubt yours will result in an embedding with quality likeness. There are def. multiple ways to train an embedding and get a good result. The Mila embedding featured in this video was made by me. Thanks for featuring it. I'd be honored if you would link it in your video description.

SnoochyB
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This is absolutely one of the most useful and well-presented stable diffusion tutorials in youtube history. Thank you for being great at what you do🙏🙏🙏.

CHARIOTangler
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Great insight on "textual inversion" - but how about an updated Dreambooth tutorial? With the latest Auto1111 version, and how to optimally train a face considering all the settings - maybe also doing it on rundpod?

neamedia
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Great video always learn something new for my workflow. I'd love a video on how to successfully train a style. I have great success when training a subject but when I try styles it always becomes a mess. Any suggestions on current guides focused on style or if you could make a video on it? Everyone always does subject videos.

FullSailGameDev
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one of the most useful stable diffusion videos ive seen to date. Genrating a graph of all the different models is a game changer

Wastedtrait
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Hey, if any of you struggle to get this working, like i did. (getting random unrelated images as a result of the training).

The solution for me was to update my xformers. Apperantly the version i was running had a bug related to the "Use cross attention optimizations while training" option he told us to activate in the video. So either turn that off(which will slow you down since you'll use twice the vram as compared to it being on), or just update your xformers. That fixed it for me. Before i fixed it the training just yielded random images of people, trees, traffic signs, all kinds of stuff. Certainly not my subject.

PolarBearon
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I finally understand embeddings!!! This is awesome!!!! AI is the future for god's sake. I could train an embedding just in cool watercolor backgrounds and make comics or something!

pedroenmanuelfuenteszambra
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This was great! I’ve been wrestling with embeddings for a while and you answered MANY of my questions. Thank you!

Roughneck
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So we went from Textual Inversion training to Hypernetworks, Dreambooth collabs to local Dreambooth, and then back to TI :)
As you said, TI embeddings are far more flexible and lightweight than HN or DB checkpoint files, and you can even mix TI embeddings together in a single prompt.

joergroser
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Huge. Thank you for the video. There are a lot of text-based guides out there, but a picture is worth a thousand words. I appreciate you, brother.

rainniu
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This is much much better than original documentations!!!! Thank you!

ivandeus
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The best video I've seen on this specific subject so far. Thank you!

jordisales
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When all the zeros after the decimal point make your head spin, you also can use for e.g. 0.01 1e-2, or for 0.00005 5e-5. Xe+/-n stands for x*10^+/-n

KnutNukem
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When you want to see the influence of the different steps with an X/Y plot, you can save quite a lot of time generating the plot if you don't use a placeholder word like "NUMBER", because it will generate a complete column with "NUMBER" used in the prompt although you have no embedding called wedmz-NUMBER. Just put wedmz-500 in the prompt and use 500, 1000, 1500, 2000, 2500, 3000 for the X replacement, this will give you exactly what you want.

gordonbrinkmann
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TLDR:

1) Props to Aitrepreneur for finally someone going thru all the steps to create an imbedding.
2) Dreambooth training is still MUCH better than Embeddings unfortunately.

MrPlasmo
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You're enticing me to delve into ai and I am searching AI since last month. Recently I used BW for making images and I am amazed by the results

GolpokothokRaktim
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There are a few tutorials. This is HANDS DOWN, the best. I spent the last 2 days trying to figure this thing out. Dreambooth extension seems to have a lot of bugs and essentially, so long as you know what you're doing here, this can achieve the same type of results.
Thank you.

Kickassdave