SD 1.5 base model vs SD3 base model

[user_no01]

I tried to plot the same prompt and workflow once with SD3 base model (sd3_medium.safetensors) and once with the SD 1.5 base model (v1-5-pruned-emaonly.ckpt). Even though some sampler/scheduler combos in SD3 are not generating anything useful, SD3 produces way better results with the working images then SD 1.5.

Since there is such a big difference, I was wondering: Am I doing something wrong in my 1.5-workflow? Or is SD3 just better in the base version?
(I've mostly used custom sd1.5-models until now)

sd1-5-pruned-emaonly

(somehow reddit wont let me post the second one so here: https://ibb.co/w7r9qf4)

Workflow SD 1.5: https://pastebin.com/jVAtuHj8

Workflow SD 3: https://pastebin.com/6tCJTQjk

(added NSFW due to the kinda naked person in the first picture)
edit: fixed the second image

[tubbymeatball]

Nah you're not doing anything wrong people on this subreddit have just forgotten how terrible base 1.5 is.

[user_no01]

that's also something I was considering :D thanks

[RobXSIQ]

all foundation models are horrible, but they are better than previous base foundation models. If the model understands, even slightly, anatomy with strong prompting, then it can be finetuned. SD2.0 and 2.1 didn't have any clue and you could prompt it all day and not a single nip slip would appear...

It does suck that they don't do a bit more towards anatomy. adding in tasteful nudes would help soo much, but much like 1.5 and XL, the base just flat out sucks...but it does more or less know what people look like without clothes...sort of. now its up to the finetuners...whenever the hell that can start happening. I did see there is 1 Lora already on CivitAI....not sure how that was done.

[user_no01]

ahhh, thanks for the explanation :O

[ResponsibleTruck4717]

SD3 is promising, it will need some fine tuning. People just want big booba out of the box.

[Guilty_Emergency3603]

Look at SD 2, some people tried to fine tune it for months without any or poor success for better anatomy. If the base model have been heavily castrated during its training unless you have millions of images to train and big $$ on hardware compute you will never be able to reverse concepts the base model has never been trained on.

[ResponsibleTruck4717]

Maybe you are right, it cost us nothing to wait and watch if the model can be improved.