3 ms·

This is the useful AI stuf. There’s so many usecases this makes possible.

by delis-thumbs-7e 4mo ago

doctorpangloss 4mo ago
how many times have you edited a photo you took on your phone in the last 7 days?
- dogomatic 4mo ago
  Personally, about 9 times. Would be higher if it was even easier and cheaper
- stusmall 4mo ago
  I think 3? I feel like that's often enough. Sometimes it's nice to do a quick dumb ass gag on a whim. If I am anything I am a man who loves a dumb ass gag.
  - inigyou 4mo ago
    Good on you. I've laughed at many dumbass gags but I've only been a passive consumer of them.
    - stusmall 4mo ago
      Become the dumbass change you want to see in the world
      - inigyou 4mo ago
        I'm not nearly creative enough.
- TeMPOraL 4mo ago
  Half a dozen at least. (I'm counting only times I used generative editing options in my Galaxy phone - if I were to take your question literally, it would be "at least once every other day", simply due to rotating and cropping.)
- gradientsrneat 4mo ago
  Some smartphones have a feature that detects if you're taking a picture of a menu/letter/etc and will automatically crop and unskew it for you.
zerobees 4mo ago
Right, and that's what I find frustrating. There are so many use cases where a local, purpose-built model that's dependably good at one thing would really make a difference. But no one is going to throw a billion dollars to give us amazing dust removal, flawless scene segmentation, etc. Instead, you're supposed to upload it to the cloud and ask a big, multimodal frontier model to maybe please do the thing you want and nothing else.
- krackers 4mo ago
  The highest return small local model for me has been the in-built OCR that macOS has. It has finally "solved" OCR by making high-quality results accessible to everyone. Yet the state of art outside the apple ecosystem seems to be tesseract (poor results), or extremely heavy VLMs.
  - crimsonnoodle58 4mo ago
    PaddleOCR? Qwen3-VL 30B-A3B?
- somenameforme 4mo ago
  You can do all of this locally on a cheap video card. Search for fooocus or automatic1111 for a couple of setups that are fairly low friction to get going. Amuse AI is another one. It's not quite state of the art and also censored, but it's by far the least friction (especially if you have an AMD card) - it's pretty much plug and play. ComfyUI is the advanced do-everything workhorse. However, it's anything but comfy if you don't already have a lot of knowledge about this domain. I'd generally recommend fooocus for a balance between usability and power/flexibility. The million image gen services online are mostly just making bank off ignorance. People don't realize that their own cheap video cards are more than enough to do everything they're paying a service an orders of magnitude markup for.
- Someone 4mo ago
  > There are so many use cases where a local, purpose-built model that's dependably good at one thing would really make a difference. But no one is going to throw a billion dollars to give us amazing dust removal, flawless scene segmentation, etc. iPhones have models for text extraction and in-painting in the Photos App. Both don’t have knobs to tune them, but, I think, they are decent for their intended audience (definitely not flawless, but I don’t think that exists anywhere, even if dropping the ‘local’ requirement) For scene segmentation, iOS has models for detecting persons (https://developer.apple.com/documentation/Vision/segmenting-and-colorizing-individuals-from-a-surrounding-scene https://developer.apple.com/documentation/Vision/segmenting-...). It also has models for detecting faces, face features, body and hand poses, or for picking the ‘best’ selfie from a set. (And dust removal is fairly niche compared to these, I think. Or do I overlook some common use case for it that many people want?)

This is the useful AI stuf. There’s so many usecases this makes possible.

doctorpangloss 4mo ago

how many times have you edited a photo you took on your phone in the last 7 days?

dogomatic 4mo ago
Personally, about 9 times. Would be higher if it was even easier and cheaper
stusmall 4mo ago
I think 3? I feel like that's often enough. Sometimes it's nice to do a quick dumb ass gag on a whim. If I am anything I am a man who loves a dumb ass gag.
- inigyou 4mo ago
  Good on you. I've laughed at many dumbass gags but I've only been a passive consumer of them.
  - stusmall 4mo ago
    Become the dumbass change you want to see in the world
    - inigyou 4mo ago
      I'm not nearly creative enough.
TeMPOraL 4mo ago
Half a dozen at least. (I'm counting only times I used generative editing options in my Galaxy phone - if I were to take your question literally, it would be "at least once every other day", simply due to rotating and cropping.)
gradientsrneat 4mo ago
Some smartphones have a feature that detects if you're taking a picture of a menu/letter/etc and will automatically crop and unskew it for you.

zerobees 4mo ago

Right, and that's what I find frustrating. There are so many use cases where a local, purpose-built model that's dependably good at one thing would really make a difference. But no one is going to throw a billion dollars to give us amazing dust removal, flawless scene segmentation, etc. Instead, you're supposed to upload it to the cloud and ask a big, multimodal frontier model to maybe please do the thing you want and nothing else.

krackers 4mo ago
The highest return small local model for me has been the in-built OCR that macOS has. It has finally "solved" OCR by making high-quality results accessible to everyone. Yet the state of art outside the apple ecosystem seems to be tesseract (poor results), or extremely heavy VLMs.
- crimsonnoodle58 4mo ago
  PaddleOCR? Qwen3-VL 30B-A3B?
somenameforme 4mo ago
You can do all of this locally on a cheap video card. Search for fooocus or automatic1111 for a couple of setups that are fairly low friction to get going. Amuse AI is another one. It's not quite state of the art and also censored, but it's by far the least friction (especially if you have an AMD card) - it's pretty much plug and play. ComfyUI is the advanced do-everything workhorse. However, it's anything but comfy if you don't already have a lot of knowledge about this domain. I'd generally recommend fooocus for a balance between usability and power/flexibility. The million image gen services online are mostly just making bank off ignorance. People don't realize that their own cheap video cards are more than enough to do everything they're paying a service an orders of magnitude markup for.
Someone 4mo ago
> There are so many use cases where a local, purpose-built model that's dependably good at one thing would really make a difference. But no one is going to throw a billion dollars to give us amazing dust removal, flawless scene segmentation, etc. iPhones have models for text extraction and in-painting in the Photos App. Both don’t have knobs to tune them, but, I think, they are decent for their intended audience (definitely not flawless, but I don’t think that exists anywhere, even if dropping the ‘local’ requirement) For scene segmentation, iOS has models for detecting persons (https://developer.apple.com/documentation/Vision/segmenting-and-colorizing-individuals-from-a-surrounding-scene https://developer.apple.com/documentation/Vision/segmenting-...). It also has models for detecting faces, face features, body and hand poses, or for picking the ‘best’ selfie from a set. (And dust removal is fairly niche compared to these, I think. Or do I overlook some common use case for it that many people want?)