1/ I let @claudeai use the https://t.co/Dppgg8Hbdh API, and the result is an effectively infinite G1 locomotion dataset, rendered in a CAD apartment environment. Here's how:
Dimension images used to take a designer. Not anymore.
Introducing Product Dimensions from Bria๐ธ๐
one call turns a product photo + its real measurements into a marketplace-ready dimension image. Seconds, not hours.
Live exclusively on @wavespeed_ai for this week!
AnimoFlow is a new open ecosystem for generative character animation, live now at https://t.co/r6kixlAqnm.
It's built on a simple observation: research models in this field are open, impressive, and moving fast, yet almost none of them ever reach animators. >>>
Object extraction just got easy - and precise!
Name the object, get a clean cutout. Run it across a scene and chaos becomes a library of reusable assets, each ready for your next pipeline.
Not a finishing touch - an input layer.
Built by @bria_ai_ , live exclusively on @fal
Introducing Fibo, a next-generation AI image generation and refinement engine by BRIA.
Unlike traditional AI image tools, Fibo constructs visuals layer by layer, giving you full transparency into what changed and why. Simply describe what you want, refine with a prompt, and Fibo handles the rest โ whether you're updating a product's color to match your brand, creating polished ad creatives, or iterating on visual concepts in real time.
โ Image building for full creative control
โ Intuitive prompt-based refinement โ just tell it what to change
โ Transparent AI: see exactly what was edited and why
โ Built for ads, marketing, and brand-consistent visuals
โ Deploy on BRIA's cloud โ fast, scalable, and enterprise-ready
Try. Refine. Retry. - Now with Fibo, we finally can.
๐Edit: https://t.co/NJWj0cj7UM
๐Generate: https://t.co/LEx8uDetE6
๐จ 800 FREE CREDITS โ 24 HOURS ONLY
We just launched LTX-2.3, our most powerful video model yet. High-res. Fast. Cinematic. Native lip-sync.
Follow + Retweet this post to get 800 credits sent to your DMs.
Great to see the community adding #FIBO to MLX
You can see the quantized version optimal for running on you Mac here: https://t.co/Wp1FqEL0TO
Thanks for the great work @filipstrand !
Love seeing those FIBO spaces on @huggingface!
FIBO Mashup - Combine any subject, background and style to create your stunning image
try it out: https://t.co/PPqLJpgEnj
What will be the next cool thing?
#briafibo@bria_ai_
Welcome ๐ ๐๐๐!!
The worldโs first JSON-native, Open Source T2I model!
Winning both aesthetics and alignment in the benchmarks by being built ground up for ๐๐๐๐๐๐๐, ๐๐๐๐๐๐๐๐๐, and ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐
https://t.co/LMewUlpjzg
The is big!
What's better than getting paid for you love doing?
$25K for the best JSON-native creative workflows, tools, and agentic systems built on top of FIBO.
๐ Deadline: Dec 15 (online)
๐ฐ $25,000 in prizes
Register here:
https://t.co/nlzb8QyUEr
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[HOIDiNi] https://t.co/WPPzG4hrsd
๐งต:
Diffusion models are great at generating free-form human motion but tend to break down when objects enter the scene. Humanโobject interaction demands millimetric precision, and even tiny errors cause hands to float or penetrate surfaces
๐จNew data alert๐จ
๐ท Check out our text-to-face-motion dataset: The first to use ARKit, which is easy to capture and already integrated into Unity and Unreal engines๐ท๐
Now you can easily expand you're dataset by simple capturing more data
1/
What if you could animate a face directly from text?
๐ญ Meet Express4D - a dataset of expressive 4D facial motions captured from natural language prompts, designed for generative models and animation pipelines.
๐https://t.co/okK0JgZMhV
๐น๐
1/
What if you could animate a face directly from text?
๐ญ Meet Express4D - a dataset of expressive 4D facial motions captured from natural language prompts, designed for generative models and animation pipelines.
๐https://t.co/okK0JgZMhV
๐น๐
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๐งต When you click a link, have you ever wondered: โWhich webpage is actually important?โ
Google answered that with PageRankโtreating the web as a Markov chain.
Now imagine doing the sameโฆ
but for transformer attention.๐
๐ https://t.co/DqKE6bPI9a