Deep Fish

If you want to build a node editor with react flow you should check out the Deep Fish repository. Left is showcased open source react flow component vs. deep fish's on the right. github.com/noahgsolomon/d…

@noahsolomon 🥹🐟

Deep Fish is now Open Source! @deepfishlol My goal was to build the web version of comfyui that had the extensibility of touch designer. I ended short so graph execution is not recursive and remains client directed. Go drop it a star and if anyone needs help plz dm :D

going to open source @deepfishlol this weekend

This is what i've been working on for the PAST 2 MONTHS!! Fal Sandbox where you can run models on the same input and see the (shareable) generations in one view! fal.ai/sandbox Hope you guys like it (another 20 trillion to fal) 🥹🫶

Sunsetting development on @deepfishlol. When a side project begins to feel more like a chore than an expression of curiosity I think that's when it's the best time to move on. I've began to work on a heart rate / hrv wristband monitor last week and want to move more in this direction (intersection of health monitoring hardware and data analysis) for my side projects through the next year. If u want to help and live in sf lmk :D

We’ve all seen AI prototypes that wow in a demo… but never make it to real products. Now, with AI, it's even easier to have amazing demos, but the problem still persists. @noahsolomon turns those AI ‘toys’ into tools teams actually use. At @fal, he builds fast and ships tools bridging experiments to production. At LisbonAI (LXAI), you’ll be able to talk with Noah about the craft of productizing AI. Noah is a builder by heart: → Created brainrot.js - a text-to-video experiment that took over timelines → Built Infinite Kanvas - a multiplayer gen-art canvas powered by Fal → Shiped Deepfish - workflow + inference infrastructure for complex AI pipelines → Hacked PPO Bunny - browser-based RL on ONNX with a 3D UI → Prototyped Pillzumi - narrative agents with memory and personality → Released code-first tools like Deep Star and Compositional Token Adaptation → Once built a multiplayer 3D platformer in the browser - now wrangles workflows, weird UIs, and wandering gradients Builders should be among builders to learn with each other. 👉 Join us at LisbonAI: lisbonai.xyz

@noahsolomon deep fish hat

I love my stupid pfp

Real time persistence maxxing 🐟⋆｡𖦹°🫧˖ there's like 0 local state for workflows not directly anchored to server state now (much needed improvement!). (for workflows ✅ for flows 🔜) changelog 08/31 - @deepfishlol :D

User downloaded .deepfish files for workflows are going to be encoded in characters like ⋅˚ ଳ ˚ 𓆝⋆｡˚ 𓇼 ⋅˚ ଳ ˚ 𓆝⋆｡˚ 𓇼 so when u open the file it’s just an ocean in text I think it’s pretty cool 😸

Character design in vintage anime style using Dreamina 3.1

It’s always such a warm feeling when u see an app u have rank for new keywords on google

Going to give a shot at making a short anime episode 100% AI this weekend that doesn't feel AI. If you'd like to try too here's the way of doing so with consistent style, consistent voices, limited artifacts in video scenes, and captions that i'm thinking of from models that are all on @fal (minus RVC right now): Each scene needs to be grounded with a start and end frame. We can get the first frame from Nano Banana from google. However for text to image, it's not the best model for aesthetics. So I'll use Dreamina 3.1 to get the initial character designs and environments and overall style/aesthetic from text prompts and from then on use Nano banana to make variations of those characters and environments. For video generation we could either do a start+end frame video interpolation approach but the problem with that for dialog heavy scenes is it's not entirely automatable to guarantee generated audio and interpolated video match pacing or even length actually. And even if they match on both fronts, then you need to use an external lipsync model which always has artifacting (and is trained for realism so idek how it would do for like a dragon talking for example, I imagine pretty bad). The best approach for the video side I think is start frame into veo 3 is the best approach. Then with that audio+video output, transcribe who is speaking when in the video with the eleven labs transcription segment api and then isolate the vocals during those time segments, and run the vocals through a rvc model for the voice you want to use for that character (for consistent voice) and combine the rvc outputted vocal with the vocal removed audio and replace the audio for that scene with the voice remapped audio. And for captioning, there's a transcription + video editing model on fal to add captions to the video.

Converting this red dragon into a diamond dragon with nano banana

My 3 favorite text to image models for vintage anime aesthetic are Qwen Image, Dreamina and Wan 2.2 I made a flow for my 3 favorite anime models you can go try for free with different characters and backgrounds. link below

Nano Banana is really awesome but I'm not impressed with it's aesthetics for text to image. I still think the best text to image model for aesthetics in general is wan 2.2 right now

@0xGoodfuture deepfi.sh/workflow/NANO-…

@Deepfishlol When multiimage nano banana

Go try nano banana, the best image editing model for free right now! Here are some flows we've built with it too 🧵

@0xGoodfuture it's already here

@Deepfishlol me

Like and drop ur pfp in the comments and I'll Simpsonify it