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> 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.



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?


> 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.


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).


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.


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.




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