[kouteiheika]

> Can you elaborate on “properly tweaked”?

In a nutshell:

1. Use a good checkpoint. Vanilla stable diffusion is relatively bad. There are plenty of good ones on civitai. Here's mine: https://civitai.com/models/94176

2. Use a good negative prompt with good textual inversions. (e.g. "ng_deepnegative_v1_75t", "verybadimagenegative_v1.3", etc.; you can download those from civitai too) Even if you have a good checkpoint this is essential to get good results.

3. Use a better sampling method instead of the default one. (e.g. I like to use "DPM++ SDE Karras")

There are more tricks to get even better output (e.g. controlnet is amazing), but these are the basics.

[renewiltord]

Thank you. I assume there's some community somewhere where people discuss this stuff. Do you know where that is? Or did you just learn this from disparate sources?

[kouteiheika]

> I assume there's some community somewhere where people discuss this stuff. Do you know where that is? Or did you just learn this from disparate sources?

I learned this mostly by experimenting + browsing civitai and seeing what works + googling as I go + watching a few tutorials on YouTube (e.g. inpainting or controlnet can be tricky as there are a lot of options and it's not really obvious how/when to use them, so it's nice to actually watch someone else use them effectively).

I don't really have any particular place I could recommend to discuss this stuff, but I suppose /r/StableDiffusion/ on Reddit is decent.

[bavell]

Pretty good reddit community, lots of (N/SFW) models and content on CivitAI. Took me a weekend to get setup and generating images. I've been getting good results on my AMD 6750XT with A1111 (vladmandic's fork).

[Lerc]

What kind of(and how much) data did you use to train your checkpoint?

I'd like to have a go at making one myself targeted towards single objects (be it car,spaceship, dinner plate, apple, octopus, etc). Most checkpoints are very heavily leaning towards people and portraits.

[Auracle]

I’m not the OP but I’ve made some of my daughter, wife, dog, niece, etc.

People generally suggest 30+ images. I’ve found - at least with people - the more the better. My wife’s model is trained on ~80 images of her.