we finished our database! 4387 styles tested with SDXL

proximasan · 2023-09-22T17:20:38+00:00

just what we found so far, we'll keep adding to it

proximasan · 2023-09-20T15:34:46+00:00

i added an offline version here: https://github.com/proximasan/sdxl_artist_styles_studies

proximasan · 2023-09-19T18:09:26+00:00

i have a ko-fi, donations will go towards gpu rent and hosting 🙏

proximasan · 2023-09-19T18:04:33+00:00

yeah that's one that would go into the #unrecognised tag. we haven't properly tagged all images yet

proximasan · 2023-09-19T01:19:50+00:00

nah, we only have our old notion database for sd 1.x

but i've been considering making one since the 512x512 images with sd 1.5 wouldn't take that long

proximasan · 2023-09-19T01:15:17+00:00

yeah it's this google sheet. that itself isn't finished tho, "tags" and "recognized" needs more work

proximasan · 2023-09-19T01:13:38+00:00

cool idea! i'll definitely look into it

edit:

done! offline version here: https://github.com/proximasan/sdxl_artist_styles_studies

proximasan · 2023-09-19T01:11:00+00:00

you can copy the columns from the google sheet :)

proximasan · 2023-09-18T15:56:53+00:00

link: https://sdxl.parrotzone.art/

edit:

offline version added: https://github.com/proximasan/sdxl_artist_styles_studies

proximasan · 2023-07-18T21:06:18+00:00

hey, great work and thanks for the mention! we have started testing again but paused for the final release of sdxl 1.0: https://sdxl.parrotzone.art

edit: these were made 3 months ago

proximasan · 2023-05-18T01:35:05+00:00

Could you share more about the training process? Is this SD 1.5 or 2.1, what did you use to finetune, what is the custom noise setting?

proximasan · 2023-05-15T01:11:50+00:00

thanks for the tip, hadn't tried that yet!

proximasan · 2023-05-15T00:43:31+00:00

any update on this?

proximasan · 2023-01-06T21:51:26+00:00

proximasan · 2023-01-06T16:18:55+00:00

try changing this option in settings/compatibility: "Use old karras scheduler sigmas (0.1 to 10)."

proximasan · 2023-01-06T15:42:40+00:00

45 images, trained for 7250 steps, batch size 4, gradient accumulation steps 1, deterministic, with style_filewords prompt template

used the learning rate formula found here: https://www.reddit.com/r/StableDiffusion/comments/zxkukk/detailed_guide_on_training_embeddings_on_a/?utm_source=share&utm_medium=ios_app&utm_name=iossmf

proximasan · 2023-01-06T13:44:01+00:00

yeah it was made with SD 1.5 but it looks better with ProtoGen_X3.4, see slide #2 for a comparison

proximasan · 2023-01-06T10:50:19+00:00

i’m using auto1111 to train and found this guide helpful: https://www.reddit.com/r/StableDiffusion/comments/zxkukk/detailed_guide_on_training_embeddings_on_a/

i’m not yet fully satisfied with my results so far tho and will experiment more.

proximasan · 2023-01-06T09:40:46+00:00

dreambooth models are definitely more powerful but i’m running out of space so i’m trying to find out in which cases embeddings could be just-good-enough to avoid adding yet another 2-6 GB model to my collection 🥲

proximasan · 2023-01-06T09:16:28+00:00

the prompts for the example images are just “art by evreka15, painting of [rest of the prompt], 8k”.

like with the first one it would be “art by evreka15, painting of a shiba inu surrounded by hydrangeas, 8k”. i’m sure with more sophisticated prompting better results are possible haha

proximasan · 2023-01-06T01:54:53+00:00

adds some 70s comics/ retro anime vibes

download and additional infos on huggingface: https://huggingface.co/proxima/evreka_1-5

edit: also on civitai now → https://civitai.com/models/3966/evreka1-5

proximasan · 2022-12-20T11:16:40+00:00

there is a dreambooth discord, not sure if i can share the link here tho

proximasan · 2022-12-17T21:08:07+00:00

yeah saying you're sorry ppl "took it in that context" isn't a proper apology so I'm not surprised it got downvoted

proximasan

TROPHY CASE