I just vibe coded a whole iOS app in Swift (without having programmed in Swift before, though I learned some in the process) and now ~1 hour later it's actually running on my physical phone. It was so ez... I had my hand held through the entire process. Very cool.
Cat Journey just got even better! Dive into the magic with updated visuals & gameplay! Help the Cat save his sister—play for free now!
Apple Store: https://t.co/9HfsTqZIZL
Google Play: https://t.co/deyaNHTe8N
#MobileGame#PlayForFree
Cat Journey just got even better! 🐾✨ Dive into the magic with updated visuals & gameplay! 🌍🎮 Help the Cat save his sister—play for free now!
Apple Store: https://t.co/9HfsTqZIZL
Google Play: https://t.co/pVSXu5aZZW
#MobileGame#PlayForFree
Introducing JoyVASA -- Portrait and Animal Image Animation
Generates facial dynamics and head motion for audio-driven facial animation 🤩 Explore with gradio app 👇
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https://t.co/iscSGovsDA
Some early testing of this opensourced "Act-1"
There are so many knobs to turn and test but it's incredibly promising
I can get it better still this is just a couple hours of tickering - I want 1:1 expression transfer.
Stay tuned!
supervision-0.25.0 line counter is a lot more robust; lets gooo!
objects may be small, move quickly, or get occluded
it’s easy to build a video analysis that works well for 30 seconds. building one that holds up for 24 hours is a different story.
https://t.co/xXMRaS3Guk
To help explain the weirdness of LLM Tokenization I thought it could be amusing to translate every token to a unique emoji. This is a lot closer to truth - each token is basically its own little hieroglyph and the LLM has to learn (from scratch) what it all means based on training data statistics.
So have some empathy the next time you ask an LLM how many letters 'r' there are in the word 'strawberry', because your question looks like this:
👩🏿❤️💋👨🏻🧔🏼🤾🏻♀️🙍♀️🧑🦼➡️🧑🏾🦼➡️🤙🏻✌🏿🈴🧙🏽♀️📏🙍♀️🧑🦽🧎♀🍏💂
Play with it here :)
https://t.co/pFQGZIAW1k
ExVideo
Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
Recently, advancements in video synthesis have attracted significant attention. Video synthesis models such as AnimateDiff and Stable Video Diffusion have demonstrated the practical
devon v0.1 is officially live:
get full project editing and execution in your ide
one command to install
one command to run
github below
lmk how we did
On "Introduction to On-Device AI," made in collaboration with @Qualcomm, you’ll become proficient in deploying AI where it's needed most—right on your mobile device.
Sign up for our waitlist and be the first to enroll! https://t.co/xcfNKQi9Y8
StoryDiffusion
Consistent Self-Attention for Long-Range Image and Video Generation
For recent diffusion-based generative models, maintaining consistent content across a series of generated images, especially those containing subjects and complex details, presents a
Testing the new IPAdapter nodes for animation. This animation is 100% text-to-image guided by 2 IPAdapters. No control nets, no rotoscoping, no depthmaps. Still not where I want it to be, but we are getting there.