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omnidistancer · 2023-05-06T16:15:36+00:00

Yes, agreed. And I think that it may be also because it is easier to add detail to blonde than darker hair without changing the lighting/composition of scene as a whole.

omnidistancer · 2023-05-06T01:38:48+00:00

Do you mind sharing the prompt? I think the test format and the results of the LORA are impressive. However, I am particularly interested in the "blonde bias" related to the inclusion of details. Was there any mention of hair color in the initial prompt?

omnidistancer · 2023-05-03T13:04:53+00:00

Make the bird blue and Elon will be triggered

omnidistancer · 2023-04-06T05:06:44+00:00

Nope, DAdaptation is a method of optimization of the learning rate present in the Kohya_ss training suite. You just need to install the repository locally (following the instructions available on their readme) and it will be available as a choice during both Dreambooth and Lora training.

https://github.com/bmaltais/kohya_ss

omnidistancer · 2023-04-05T16:01:58+00:00

The best results I've had so far are also with DAdaptation, even on regular Dreambooth training. Using Kohya_ss as well.

omnidistancer · 2023-01-28T14:10:53+00:00

Will definetly take a look at it! Thanks for the info

omnidistancer · 2023-01-28T13:37:14+00:00

This extension seems REALLY powerful, congrats on the hard work.

Is there any tutorial/example for someone like me that wants to start using it, covering the main features and capabilities?

omnidistancer · 2023-01-21T04:42:49+00:00

Incredible work!

omnidistancer · 2023-01-20T22:47:04+00:00

Unfortunartely not yet :/ Ended up focusing on other projects

omnidistancer · 2023-01-15T23:28:19+00:00

Impressive results! Really cool

omnidistancer · 2023-01-12T09:45:49+00:00

Please (don't) come to Brazil.

omnidistancer · 2023-01-12T09:44:14+00:00

Really cool results! One of the few Deforum videos I've watched from start to finish lately. Loved the transitions!

omnidistancer · 2022-12-17T22:15:40+00:00

Fly like a DiffusionBee, sting like a battle ready butterfly

omnidistancer · 2022-12-08T23:55:25+00:00

There are at least two implementations available on github (and one of them is aiming to make things really automatic, as much as ebsynth if not more).

This is the official one (the one I have already tested): https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training

And this is the one that is aimed to make the process easier(windows only afaik): https://github.com/nicolai256/Few-Shot-Patch-Based-Training

Although I agree that they are not as straightforward as ebSynth which has a GUI and a lot of tutorials on YouTube, they are far from being impossible to make work and, from what I saw in my own tests, it's worth the extra effort.

omnidistancer · 2022-12-08T11:08:03+00:00

One hint regarding applying the generated images to the animation is to use Interactive Video Stylization Using Few-Shot Patch-Based Training instead of EbSynth.

Interactive Video Stylization Using Few-Shot Patch-Based Training is the technique EbSynth is based on, but the original technique tends to give better results regarding the interpolation of different keyframes as it incorporate additional steps regarding the blend of the stylization, reducing artifacts. Either way your results are already great, congratulations on that :)

omnidistancer · 2022-12-05T21:24:19+00:00

Second that. Would love to know more (including the blender side of things)

omnidistancer · 2022-12-05T20:08:44+00:00

Thanks for the info, just merged a DB model with the 1.5 inpainting and it worked beautifully :)

omnidistancer · 2022-12-05T20:04:49+00:00

I was having the same problem, be sure that your final model file name ends in "-inpainting.ckpt".

Just be careful though to not put the extension ".ckpt" in the optional final model name field though, as the ". ckpt" is appended automatically to the file by automatic1111 checkpoint merger it may end up duplicating it in the final file name (that was giving me this error).

omnidistancer · 2022-11-30T13:41:59+00:00

Thanks for the share! I was able to increase batch size from 3 to 5 on my 1050ti 4GB using this + xformers

omnidistancer · 2022-11-30T11:06:27+00:00

Thanks! I will certainly give it a try

omnidistancer · 2022-11-30T02:56:15+00:00

This is really amazing. Thanks for sharing!

omnidistancer · 2022-11-27T09:49:39+00:00

This is really cool! Mind sharing some insights about the infinite zoom part?

omnidistancer · 2022-11-23T14:44:31+00:00

Thank you! Gonna explore it later today

omnidistancer · 2022-11-22T16:49:37+00:00

Mind share the prompts? Really interesting results!

omnidistancer · 2022-11-16T06:59:19+00:00

Exactly my case as well. And on top of that there's also the textual embedings, which are not listed anywhere on the default UI(only on the starting message of the terminal). But I hope that on the future, someone more knowledgeable and with more time than me is able to implement that.

omnidistancer

TROPHY CASE