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wow! latency is insane



also no signup for the optimized endpoint on fal https://fal.ai/models/fal-ai/flux/schnell



> The prompt comprehension is incredible! #auraflow

> "a cat that is half orange tabby and half black, split down the middle. Holding a martini glass with a ball of yarn in it. He has a monocle on his left eye, and a blue top hat, art nouveau style "

Plus an image that somewhat resembles that prompt. The cat has a human-like hand with a chopped off thumb and 6 fingers in total, differently colored eyes, a branch in front of its face, the ball of yarn is somehow floating in mid-air.]


These are somewhat valid issues. But given the currently available open models, this is a massive improvement. The human-like hand and changing the styles on the sides of the head isn't even bad - those are valid artistic choices you'd see on similar illustrations - they're just badly executed here.


Somewhat resembles? Come on.


we have an optimized playground here: https://www.fal.ai/models/stable-cascade


"sign in to run"

That's a marketing opportunity being missed, especially given how crowded the space is now. The HN crowd is more likely to run it themselves when presented with signing up just to test out a single generation.


Uh, thanks for noticing it! We generally turn it off for popular models so people can see the underlying inference speed and the results but we forgot about it for this one, it should now be auth-less with a stricter rate limit just like other popular models in the gallery.


I wanted to use your service for a project but you can only sign in through github, I emailed your support about this and never got an answer, in the end I ended up installing SD Turbo locally. I think that a github only auth is losing you potential customers like myself.


I just got rate-limited on my first generation. The message is "You have exceeded the request limit per minute". This was after showing me cli output suggesting that my image was being generated.

I guess my zero attempts per minute was too much. You really shouldn't post your product on HN if you aren't prepared for it to work. Reputations are hard to earn, and you're losing people's interest by directing them to a broken product.


Are you using a vpn or at a large campus or office?


No, I was connected on my own private IP address.


It uses github auth, it’s not some complex process. I can see why they would need to require accounts so it’s harder to abuse it.


After all the bellyaching from the HN crowd when PyPI started requiring 2FA, nothing surprises me anymore.



thanks for the feedback codingwave! yes there is so much to add! wanted to highlight the potential with this demo


Earlier this week, we lost one of my favorite artists, Fernando Botero. I've always admired the whimsical and accessible nature of his artwork.

We trained a LoRA on his art style, and I am truly impressed by how effectively it captures his essence.

Some of my favorites: https://twitter.com/gorkemyurt/status/1704903418035454448


incredible job @ykhli! thank you for the fal.ai mention on the stack! https://github.com/a16z-infra/ai-town#stack

for anyone eager to generate their own simulation head to https://serverless.fal.ai/lora to create your own pixel art game characters


thanks for the interest, had some downtime but should be working now!


Sharing our reference application that we built using Stable Diffusion and Segment Anything.

Stable Diffusion + Segment Anything - https://www.editanything.ai/ (try out the app!)

We believe chaining different models can lead to impressive user experiences and as an AI product owner you can really differentiate yourself from others if you use several models in creative ways.

https://github.com/fal-ai/edit-anything-app

In the example there is python code to do the model inference as well as the javascript code to build the application. I believe this would be a great reference implementation for people trying to build their own AI apps.

Made a short video explaining the application: https://youtu.be/ob_WOogJn_A

If there is interest would love to do a walkthrough of the codebase with a video as well!


Id love to see that!


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