Yeah but in the extension there is single field for a prompt.
Yeah but in the extension there is single field for a prompt.
Frequires fine tuning of parameters
Fwatch this i explain logic of filewords
FYouTubeSECourses - Software Engineering Courses
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AThanks.
Fi sent a dm to you if you be interested in
FHowdy! First of all I want to thank for all the great content provided in the YouTube channel. I've been watching a few to better understand the subject but I wonder which specific video or videos I should watch which is the most up to date if what I want to do is to use Stable Difussion with my own face with the best quality possible in Google Collab. I'd also like to do the same with a 2nd person. Should I train a 2nd model from zero or could I add the 2nd person to an already trained model? If so, how to do it for the best quality possible?
FI don't currently have an Nvidia card good enough for local
Fok i presume you cant pay to use runpod right?
Fso now i will list some tutorials for you
Fthis one how to train on colab
Fstill works
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Fthis is a quicker and more up to date version of colab
Falso it shows more info about how to use colab path
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Fthis is my newest dreambooth settings comparison but it uses web ui
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Fand this is a massive tutorial that explains concepts of dreambooth
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Fteaching 2 faces into 1 dreambooth model is a bit problematic. if they are different gender can work but if same gender
Fthen you should not use classification images to not bleed
JHi professor, have your trained lora with Kohya's webui
JI see a lot of videos talking about that
JI trained a lora with it and applied to the sd1.5
Jnothing happend
JKohya's lora also modifies the unet, which other loras from civitai does not have
Nwhat do you mean by "your dataset"? certainly it depends on the quality of your pictures. but as long as you have (like the pictures that you are used to take for your comparisions) simialar pictures you can compare f.e. 3, 6, 10, 20, 35, 50 pictures for training to find out how near the different trained images come to the "original" person..
Sthe number of pictures really does not matter for "accuracy", but it matters for variety, you can train with one single image, and have that exact look on all your outputs
Nah, that makes sense. so the effects is similar to overtrainig as an overtrained image shows mainly the unchanged input images
Syou cant overtrain a lora
Nok- i did not refer to lora in my main question
Soh that wasnt you, ok then.. well yes you can put something in your sanity text field that has nothing to do with your subject or like a specific style
Sand when that dissaplears from the samples, you overtrained
Nyes.
SI think there are several understandings of what overtraining is. you can overfit by destroying your subject. Like deform it. and you can overtrain by making it not flexible
Sbut I wonder why people would train a model baked into a checkpoint, you by default make it non flexible
Ni simply save at a alow epoch frequence so I can later compaare how good the single checkpoints are
Sthats not my point
Syou have a checkpoint thats good for one thing but not another
Sone is good for like steampunk or scifi, others are good for fantasy
Snone are good for everything
Ni think in this respect the source image is more relevant
Sbut you want a nice background dont you?
Nthat depends of the source image and the flexibilty of the trained image to "translate" your text input
Sno
Sif you train with a model that cant draw horses, you will never have your subject ride a horse
Nas i understood it (until now) all the trained images you find at civitai etc are trained on the few primary images
Sprimary images?
Nfrom sd-v1-4.ckpt til the 2.1 images
Sright yes, but those really suck, and you have to work very hard to get good results, so thats why there are so many other models that lead you into a more refined style thats easier to produce