1boy is something form -booru(anime style) training models. 1boy just means there is exactly 1 male in the picture. 1girl, exacty 1 female. 2boy for 2 males, etc.
yes it does, don't worry i am aware, as i mentioned (not in enough detail mind you) this is useless for the SDXL inference, booru tagging tends to work best with 1.5 models, where the CLIP L / CLIP G do not use Booru Tags, they just use normal tokenized words. When i starting showing the append method (using a manually defined initial root caption in CLIP-G style first) this will add tags that are suitable for "hooking" into CLIP-L. The result is a more robust Lora that can approach ground truth to a closer degree. Sometimes i have to cut things like this, it's probably worth it's own video, but most little details like this do :) for anyone reading, the reply is correct, and played a major part in training with the old 1.5 models, however doesn't really take effect in SDXL as it didn't need that style of tagging.
After i saw what those "pony" base models can do, i am finally sold but i have a 3060 , so i couldnt train locally for sdxl because not enough vram, now i am recurring to collab. Thank god i never deleted My datasets for all the loras i want to remake
(4:16) Here's why you should bother with sample image prompts. Basically it's three free images that you don't have to create outside of this page. Let's say you were creating a LoRA for the token "mycoupletoken". Throw in "mycoupletoken on beach", "mycoupletoken in a limo", and "mycoupletoken jogging in the park" just to give people an idea of how to use your LoRA. If it turns out the images suck, you can always delete them later.
as it turns out, I now set sample prompts everytime, mostly because as soon as i used a complex dataset, the tags were all shuffled in the sample prompts. This makes them useless if you do not put in some sample prompts :D
...we covered OneTrainer in a past video for those with valid privacy concerns, you also have KohyaSS-GUI. I aim to provide processes for all levels of experience, online/offline. on site Auto-trainers are designed for use by anyone at any skill level. As discussed in this video, we often prefer more control when training however that is a deep skill requirement that requires lots of experience, this is overkill if you only want to experiment with a Lora of your Pet for example ;)
1boy is something form -booru(anime style) training models. 1boy just means there is exactly 1 male in the picture. 1girl, exacty 1 female. 2boy for 2 males, etc.
yes it does, don't worry i am aware, as i mentioned (not in enough detail mind you) this is useless for the SDXL inference, booru tagging tends to work best with 1.5 models, where the CLIP L / CLIP G do not use Booru Tags, they just use normal tokenized words.
When i starting showing the append method (using a manually defined initial root caption in CLIP-G style first) this will add tags that are suitable for "hooking" into CLIP-L.
The result is a more robust Lora that can approach ground truth to a closer degree.
Sometimes i have to cut things like this, it's probably worth it's own video, but most little details like this do :)
for anyone reading, the reply is correct, and played a major part in training with the old 1.5 models, however doesn't really take effect in SDXL as it didn't need that style of tagging.
@@FiveBelowFiveUK Really interesting stuff! I would love a video explaining this more. F-ing love your channel!
After i saw what those "pony" base models can do, i am finally sold but i have a 3060 , so i couldnt train locally for sdxl because not enough vram, now i am recurring to collab.
Thank god i never deleted My datasets for all the loras i want to remake
@@huevonesunltd the dataset is king!
there will be many more models to retrain our data on, no doubt!
(4:16) Here's why you should bother with sample image prompts. Basically it's three free images that you don't have to create outside of this page. Let's say you were creating a LoRA for the token "mycoupletoken". Throw in "mycoupletoken on beach", "mycoupletoken in a limo", and "mycoupletoken jogging in the park" just to give people an idea of how to use your LoRA. If it turns out the images suck, you can always delete them later.
as it turns out, I now set sample prompts everytime, mostly because as soon as i used a complex dataset, the tags were all shuffled in the sample prompts. This makes them useless if you do not put in some sample prompts :D
I prefer local procedures
...we covered OneTrainer in a past video for those with valid privacy concerns, you also have KohyaSS-GUI. I aim to provide processes for all levels of experience, online/offline.
on site Auto-trainers are designed for use by anyone at any skill level. As discussed in this video, we often prefer more control when training however that is a deep skill requirement that requires lots of experience, this is overkill if you only want to experiment with a Lora of your Pet for example ;)