this post was submitted on 02 Jul 2025
328 points (97.7% liked)
Technology
72285 readers
2531 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
not necessarily. image generation models work on a more fine-grained scale than that. they can seamlessly combine related concepts, like "photograph"+"person"+"small"+"pose" and generate plausible material due to the fact that all of those concepts have features in common.
you can also use small add-on models trained on very little data (tens to hundreds of images, as compared to millions to billions for a full model) to "steer" the output of a model towards a particular style.
you can make even a fully legal model output illegal data.
all that being said, the base dataset that most of the stable diffusion family of models started out with in 2021 is medical in nature so there could very well be bad shit in there. it's like 12 billion images so it's hard to check, and even back with stable diffusion 1.0 there was less than a single bit of data in the final model per image in the data.