Fundamentally it sounds like you built an ML model(s) and are trying to monetize it behind an API. How does that work medium-term? Are you expecting there won't be open source alternatives, is your value in hosting the model (and if so will you open source yours) or is there another angle. I've built ML models and looked into how to monetize them, and overall it seems like a tough play without the model being part of some bigger thing that has more of a moat. What are your thoughts?
Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
31–40 of 84 posts
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#32Maybe it's just me, but with the aspect ratios in the first three images being clearly off, the website immediately feels broken.
Thanks will fix this
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#33There are so many possible imperfections, where do you stop?
The short answer to this is to build evaluators for imperfections that our customers see as most pressing.
We have to balance that with our view of what we think will still be a problem in the future, as image generation models get better.
Eventually we want to build a vision model that's great at fine-grained details of images, while will take some time.
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#34This is awesome, the ability to assess image composition according to photography 'rules' especially is super intriguing. Could you provide some examples of the specific rules your algorithm considers and how they contribute to the overall image quality evaluation? Do you guys see this feature being able to replace studio photographers?
Our algorithm evaluates image composition by taking into account several well-known photography rules, such as the rule of thirds and symmetry. We don't see this feature replacing studio photographers since it's designed to enhance the photography process and aid in composition analysis (basically helping them make the most informed creative decision).
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#35This seems pretty useful for companies generating images at scale. Are you at all worried that generative models will get so good that you don't need to check for deformities?
It's something we think about for sure
We think that image-gen models are lagging behind LLMs by about a year, so the problems that these models will have should look quite different in the future.
It'll require us to be adaptable and also to take chances on solving problems that aren't huge issues just yet, but are likely to be once models improve.
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#36For anything that is not Midjourney you can just flag as deformed :) Jokes aside, Midjourney is far far ahead of all the others in what it can generate.
Midjourney still straight up ignores prompts. From my experiments it seems that SD XL follows my promts much better.
We're building prompt alignment models too so you can objectively see how well SDXL follows your prompt :)
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#37A meta question for y'all if you're willing to share. I've seen y'all launch what I think is now 5 different ideas under the same name? I want to say that I remember a platform for musicians, and a platform to automatically convert a codebase into hostable inference servers, among a few other things. Asking for myself as someone who has a hard time sticking to one idea to explore: are the pivots coming from finding i…
actually very cool to me that you remember these pivots. From the inside these pivots were about solving problems we faced with our previous idea.
We mainly pivoted either because we discovered the market wasn't great, or we didn't have founder-market fit with the idea. There's a gut feeling aspect that plays in there as well, but it's mostly been analytical approach.
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#38Earlier quoted context omitted.
Midjourney still straight up ignores prompts. From my experiments it seems that SD XL follows my promts much better.
We're building prompt alignment models too so you can objectively see how well SDXL follows your prompt :)
Are you building prompt alignment model alignment models so I can objectively see how well what your prompt alignment model is judging SDXL’s interpretation of my prompt against aligns with my prompt?
Quis custodiet ipsos custodes?
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#39A meta question for y'all if you're willing to share. I've seen y'all launch what I think is now 5 different ideas under the same name? I want to say that I remember a platform for musicians, and a platform to automatically convert a codebase into hostable inference servers, among a few other things. Asking for myself as someone who has a hard time sticking to one idea to explore: are the pivots coming from finding i…
actually very cool to me that you remember these pivots. From the inside these pivots were about solving problems we faced with our previous idea. We mainly pivoted either because we discovered the market wasn't great, or we didn't have founder-market fit with the idea. There's a gut feeling aspect that plays in there as well, but it's mostly been analytical approach.
Thank you for answering. Best of luck with this idea!
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#40Isn't this product kind of impossible? Like a compression program that compresses compressed files? If you have an algorithm for determining whether a generated image is good or bad couldn't the same logic be incorporated into the network so that it doesn't generate bad images?