I am very curious if this app is making money or are users just using the two generators and then leaving? If so I am very impressed with your wrapper around the image gen models.

I can imagine the reverse model could be very profitable with every real estate agent using it to make dreary photos look great.

Reverse model aimed at estate agents already posted in this thread by someone: https://news.ycombinator.com/item?id=46829566

this landing page is a lead gen tool for the architect at the bottom

Ahh, I see that. Thanks

This could be the future of film. Instead of prompting where you don't know what the model will produce, you could use fine-grained motion controls to get the shot you are looking for. If you want to adjust the shot after, you could just checkpoint the model there, by taking a screenshot, and rerun. Crazy.

I feel like people are already currently doing this. Essentially storyboarding first.

This guy a month ago for example: https://youtu.be/SGJC4Hnz3m0

Great work! Really respect AI2. they open source everything. The model, the weights, the training pipeline, inference stack, and corpus

Interesting, I use cloudflare containers and it takes roughly 6-7 seconds to boot up using a very lightweight image.

Maybe show how it works instead of making the home page a login screen.

I wonder if some of the docs from https://app.wafer.ai/docs could be used to make the model be better at writing GGML kernels. Interesting use case.

Pretty cool, like your carpe diem post

Love it

For anyone that is interested

"create me a svg of a pelican riding on a bicycle"

https://www.svgviewer.dev/s/FhqYdli5

It created a whole webpage to showcase the SVG with animation for me: https://output.jsbin.com/qeyubehate

I use the following models like so nowadays:

Gemini is great, when you have gitingested the code of pypi package and want to use it as context. This comes in handy for tasks and repos outside the model's training data.

5.1 Codex I use for a narrowly defined task where I can just fire and forget it. For example, codex will troubleshoot why a websocket is not working, by running its own curl requests within cursor or exec'ing into the docker container to debug at a level that would take me much longer.

Claude 4.5 Opus is a model that I feels trustworthy for heavy refactors of code bases or modularizing sections of code to become more manageable. Often it seems like the model doesn't leave any details out and the functionality is not lost or degraded.