I recently joined Pixelfed and, considering there’s no algorithm, hashtags are the only way to be discovered.
I hate hashtag optimizing, but I also don’t want to upload my image to someone else’s random server before posting it to pixelfed, just to generate hashtags. Where should I look to find something I can host myself, or even something that runs natively on Android/Linux, that’ll generate hashtags/keywords for an image?
Ollama + Open web-ui could handle this.
Just write the hashtags. You know what’s in the photo you took, write like 5-10 and you’ll be fine. Once you do it more often you’ll find the active hashtags.
Some autocorrect bot won’t do that accurately.
I don’t know what’s worth tagging and what isn’t. I don’t know which tags are popular and so have followers vs. which ones aren’t.
The information exists but isn’t presented anywhere convenient.
If I have to do homework before posting a picture I’m massively more inclined not to bother, which isn’t particularly good for the Fediverse.
I would love something that could give me suggestions for relevant and popular hashtags for my content.
This does a great job of not answering the question I guess. I obviously am aware that I can write them myself, but I don’t want to. I like automating things.
This is the way.
Top 10 reddit moment: worthless agreeing meme response to an unhelpful comment that doesn’t even answer the question asked.
Sounds like a good project!
It is starting to sound like it’d have to be haha
Ugh, hashtag optimizing is soul-sucking, but you do not need to hand your photos to some random web service to get tags. Run a tiny image-caption/tagging model locally and convert the results into hashtags. My go-to is clip-interrogator, it runs on your own machine, spits out concise keywords and prompt-like descriptions, and is literally made to extract useful phrases from images. Github: https://github.com/pharmapsychotic/clip-interrogator
If you want something more generic, use BLIP (Salesforce) image captioning via Hugging Face, e.g. the Salesforce/blip-image-captioning models. Install with pip, run the model to get a caption, then use a simple POS filter or spaCy to pull nouns/adjectives and prefix them with #. That workflow is trivial to script and keeps everything local. Models will run on CPU but are far faster with a GPU.
If you absolutely need Android, use Termux and a lightweight model or run the model on a tiny home server and call it from your phone, do not upload to third-party servers. For anime art, DeepDanbooru is the standard local tagger. For everything else, clip-interrogator + a tiny post-processing script is your best bet.
Honestly, stop treating hashtags like SEO black magic, generate sensible descriptive tags locally, and move on with your life. If you want, I can paste a minimal Python snippet that takes an image, runs BLIP or clip-interrogator, and outputs a ready-to-paste list of hashtags. Which model do you want to try, BLIP or clip-interrogator?
#SeenfromLemmy
#WhoNeedsHashtags
That sounds like a job for AI, I think. I’m hopeful that you can find a good solution!
Yeah, GPT or whatever can do it, but I was hoping for something a bit more lightweight than what we’ve come to know as AI, as I don’t want to invest in new hardware.
If you want software that analyses an image and produces tags that describe the image’s content, you want a combination of image recognition, image interpretation, text generation and a promp generator to link these three parts. There is no way that any single of these applications can be “lightweight”, not to speak of the combination.
