This incorporates:
boneyardai
demonmawAI
gothichorrorAIInfernalAI
ManyEyedHorrorAI
NightmarishAI
TentacleHorrorAI
TrypophobiaAI
ArachnophobiaAI
DragonScaleAI
Example pictures were generated using this prompt:
<lyco:HorrorBundleAI:0.9> { 2$$ boneyardai | demonmawAI | 1nf3rnalAI | ManyEyedHorrorAI | NightmarishAI | TentacleHorrorAI | TrypophobiaAI | ArachnophobiaAI } [concept]
^it needs the Dynamic prompt extension. I didn't check the pictures much, didn't cherry pick.
Notes:
1) Don't worry about the individual LoRAs, they will be available. Also each new theme will be first released as a LoRA.
2) Sorry for my occasional whining about low-energy/needing a break/tiredness ... that happens.
This helps little bit *wink
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FAQ
Comments (9)
Thank you so much for bundling all these together btw. Your efforts are very much appreciated. 👍✨
Ei Kony, I have a question.
I already know how LoHa/LoCon works, etc. but just curious did you dragged the trained OG dataset as splitted folders for the Lycoris (same dataset you OG trained for each of single LORA's) or did you re-do the new dataset for the Lycoris?
Kinda funny cause in the beginning you started to mix and bleed without layering your LORA's and now your splitting them, haha. Was fun to see the duality there but I will be doing the same for your purposes. Good brain mate!
They are the same datasets in separate folders, like 10_boneyard, 10_tentacles, etc.
@konyconi Thanks for the answer, makes sense cause you're doing the same to untouch the bleeding and a tthe same time unbleed the main concepts. Bleed sub.concepts and unbleed the main ones. Good thinking and yes, it's how I did the Lycoris tests too but with wearables in my case, not styles (yet).
Quick question: your tutorials work on colab versions?
Ah. I forgot to answer your question earlier. Apologies. The tutorials are rather about data preparation (collecting pictures, captioning, etc) than training itself. For the training, I've provided a config file. I'm not sure whether it can be directly used, but you can definitely read the parameter values in the config and set them in the colab. I believe it must work.
@konyconi thx
@memesis I think they work but maybe there are things that you can't find there such as flip augmentation, color augmentation, etc. (Didnt test it on Colab so I'm not entirely sure but some of those didn't appear a month ago cause a friend told me that, lol). In that case you will have things like Cache latents On/off, etc. But most of the config should work. In fact there is no extreme difference having those marked with BF 16 or just normal with FP16. At least with my testings...
@LDWorksDavid thx
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