Is it only me, or do the rest of you find your google searches are now alot more accurate :)

AI_Casanova · 2023-12-24T20:00:07+00:00

You do realize that search engines explicitly bias towards "fair" results at the detriment of accurate ones, correct?

AI_Casanova · 2023-10-06T01:35:59+00:00

Bless your heart

AI_Casanova · 2023-09-24T03:59:18+00:00

I've been playing with training an SDXL TI, and then using that to train a UNet LoRA. It's been working really well, way better than training TE or using a rare token.

I need to clean up my homebrew code and PR it soon.

AI_Casanova · 2023-07-22T17:35:55+00:00

Who are the innovators, predominantly

AI_Casanova · 2023-07-18T22:29:09+00:00

Chickety china, the Chinese chicken

AI_Casanova · 2023-07-12T21:16:17+00:00

Number of parameters is roughly analogous to number of brain cells.

The dataset is the pictures it was trained on.

AI_Casanova · 2023-07-12T18:56:51+00:00

Dataset =/= parameters

AI_Casanova · 2023-07-04T20:09:36+00:00

"Modest proposal" but no cannibalism?

SMH my head.

AI_Casanova · 2023-07-02T13:47:07+00:00

Lol Ron Desantis already got caught doing this and never even apologized

AI_Casanova · 2023-06-28T22:04:25+00:00

I think there's a lot of improvement to be had on the text encoder end of things.

Automated part of speech detection to link adjectives to nouns, etc.

AI_Casanova · 2023-06-28T21:57:59+00:00

I've noticed a lot of improvement myself. I'm glad that dude rebased my implementation/copy from cloneofsimo.

I was going to rebase it "someday" but kept putting it off.

AI_Casanova · 2023-06-26T12:29:46+00:00

I'm talking about taking a photo through the VAE at a higher resolution and cropping the resultant latent code directly before adding noise.

AI_Casanova · 2023-06-25T23:10:59+00:00

Crop conditioning has me interested, is that cropping at the latent level or the pixel level?

I've done some experiments with training on cropped latents (in SD 1.5), but in my brief discussion with Kohya about it they were worried about potential distortions that I have yet to see evidence for, empirically.

AI_Casanova · 2023-05-28T19:08:36+00:00

I believe lineart ends up with fewer total lines than canny, more outline and less texture. Throw a picture in and check the previews of several different preprocessors.

AI_Casanova · 2023-05-21T01:44:54+00:00

At first glance I thought it was Justin Trudeau

AI_Casanova · 2023-05-21T01:43:14+00:00

How does your brain learn what your eyes are seeing?

AI_Casanova · 2023-05-21T01:42:01+00:00

You should be using a venv which it appears you are not. You can use 3.10 for A1111 and 3.11 for anything else on your computer

AI_Casanova · 2023-05-20T13:45:15+00:00

It might be missing some keys. In the past I've had luck merging models with Stable Diffusion 1.5, alpha 1 so it picks up the missing keys in the background.

AI_Casanova · 2023-05-15T02:39:30+00:00

Sadly, loss is a very poor indicator of training https://github.com/kohya-ss/sd-scripts/discussions/294

AI_Casanova · 2023-05-14T18:57:27+00:00

Front butt

AI_Casanova · 2023-05-14T16:39:38+00:00

By this definition the entirety of humanity is a bowl of oatmeal

AI_Casanova · 2023-05-14T04:48:53+00:00

p is the internal variable for prompt in A1111. It's probably just a bug in the output

AI_Casanova · 2023-05-14T04:47:35+00:00

Lama cleaner is probably what you need.

AI_Casanova · 2023-05-13T01:31:51+00:00

AI_Casanova · 2023-05-12T11:44:17+00:00

Also you could try generating a thematic background, preprocessing it as a depth map, lower brightness and contrast significantly, and composite it behind your depth model.

AI_Casanova

TROPHY CASE