From now on all future versions will be named after their base model, for example if I train with the YAAI dataset on Pony V6 the version of the model will be named "PonyV6", this is to clear up confusion since I am planning on training on a lot of other base models. The original V1 and V2 models will remain with their original names.
I do want to make it clear that every new version that I make is not supposed to be "better" than the old ones, they're just different, which is why I am training on different base models each time, the only constant is the dataset.
Each model is trained on a hand picked dataset of art that I liked, results should generally speaking be a little more stylized than their original base, with some improvements on creativity as well.
Here's the V2 (WAI-NSFW V15 base used) model on tensor
Comparison of YAAI v2.0 and WAI v15: https://imgsli.com/NDE4OTg5
Comparison of YAAI v1.0 and WAI v14: https://imgsli.com/NDA5NzU4
Recommended settings:
Steps:: 15-30
CFG scale: 5-7
Sampler: Euler
Use size larger than 1024x1024 for the original dimensions
Recommended upscale settings:
Hires upscale: 1.5
Hires steps: 20
Denoising strength: 0.35~0.5
Hires upscaler: R-ESRGAN 4x+ Anime6B
All the preview images have the workflow attached, it automatically calculates a 1.5x resolution for you so you don't have to change multiple fields each time you want to change resolution.
Everything is included in the checkpoint (vae, text encoders, unet)
Recommended prompts:
Positive Prompt
masterpiece, best quality, amazing quality, absurdresNegative Prompt
bad quality, worst quality, worst detail, sketch, censor, watermark, signature, text, multiple_poses, multiple_scenes, speech_bubble, patreon_username, multiple_images, multiple_angles, bad_hands, wrong_hand, bad_anatomy, extra_fingers, extra_digits
Basically all characters in the WAI-NSFW model should work here too, you can check all the characters available here: https://huggingface.co/spaces/flagrantia/character_select_saa
Of course due to the nature of full fine tuning some characters might be impossible to be generated anymore, but from my testing all characters that I tried worked fine.
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Comments (8)
Baked vae?
yes vae is included in the checkpoint
upload to tensor pls :3
there you go https://tensor.art/models/924979416080060628
Wrong direction. v1 is much better. I'm not talking about quality, I'm talking about composition. v1 makes more complex composition for the same prompt/seed.
v2 was trained with the same dataset with slightly different settings (which don't really affect overall composition), the main difference is that WAI v15 was used as base for the training (previously v14 was used as base). Most of the composition difference is due to the updated base.
You can keep using v1, and if I ever make an updated version with a larger dataset or anything I will be updating both version :)
@jorkingtoncityshallwe machine learning is a lot of random. Even change of dataset sequence may lead to a different result for a big dataset. v1 - definitely a step forward, it's nice to know you may try to make it even better.
great!!WAIも悪くなかったですが、さらに好みのアーティストタグに対して良い結果が得られるようになりました。
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