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Meet Idol, an open image-to-3D model. A 3D-DiT that generates complete 3D objects from just an image. Pre-trained from scratch, contains only 600M parameters, it runs on consumer GPUs, using less than 7.2 GB of VRAM and can generate 1M splats in 3 seconds. Try it today. Fully open:... show more

Speridlabs

2,164 subscribers

215,287 views • 4 days ago •via X (Twitter)

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37 Comments

Speridlabs4 days ago

Weights: Code: Try it:

Alex Garabito3 days ago

here is my humble contribution

Speridlabs3 days ago

we pay researchers to do this

Javier Álvarez4 days ago

good job team! this is fine, from every angle 🔥

Guli Moreno4 days ago

@martin_casado a nice combo for Radix? Made in 🇪🇸

Joan Rodriguez4 days ago

This is sick! Congrats @chema_garabito and team

Studio Foxtales 🦊4 days ago

>3D objects >outputs splats :(

Carlos Bort3 days ago

This is absolutely incredible! Congrats team!

Neil4 days ago

If you'd like more control in your image-to-3D generations check out our work:

guille4 days ago

No recuerdo ya que modelo salió en 2023 imagen a 3d que generé con stable diffusion una imagen de un delorean por delante, se la pasé al modelo y me generó bien los faros de atrás, y eso me voló la cabeza. Desde entonces mi benchmark favorito es usar a tigershark (un Invizimal jajaja) que no debe salir en datos de entrenamiento entonces ocurren bizarradas curiosas. Es una pasada, habéis cocinado algo chulísimo, enhorabuena!

Hao4 days ago

The backpack example is worth spinning around. The back panel and shoulder straps hold up well. Local GPU note from your README 4090 - 19.1s at 262k Gaussians / 50 steps

Marc4 days ago

👏👏👏

Gonzalo Duarte4 days ago

Guapísimo! Go Team!!

Fernando4 days ago

So cool!

Ale Sánchez4 days ago

Equipazo 🤘🏻🤘🏻🤘🏻

txema puch4 days ago

Wow crackss!

JoseJavier4 days ago

Qué barbaridad 😲👏👏

Crio Songo3 days ago

The speed and parameter size are really impressive. Full openness also makes it easy to test and improve.

Gravity Research4 days ago

Apache 2.0 and running local on a single consumer card is huge, now the whole game is just how clean those splats convert to usable meshes.

Louan4 days ago

Enhorabuena equipo! Orgulloso del talento 🇪🇸

Ottis3 days ago

pretty wild! 3DGS will be massive in the tech industry in the near future

Yoland Yan3 days ago

Woah!

Farfan3 days ago

Does it work with a 3070 ti on 8 gb vram ?

Speridlabs3 days ago

it should!

Javier Gil Avilés3 days ago

Idolo 🇪🇸🐐

Alejandro Buján4 days ago

absolute 🐐s

leal4 days ago

vamos vamos vamos!! 🔥🇪🇸

Igna4 days ago

Hell yeah!

Sabab3 days ago

G. O. A. T

alena titova3 days ago

wow !!

￦3 days ago

wow

Christopher Sims3 days ago

you guys cooked, amazing!

FutureMind Ai4 days ago

Impressive results with such low VRAM usage. Open 3D AI tools like Idol are a big win for creators.

lost in latency3 days ago

damn, excited for this!

Carlos Martínez García-Villarrubia4 days ago

Muy muy top!

Gilberto S4 days ago

🇪🇸🇪🇸🇪🇸

Ivan Fioravanti3 days ago

Incredible release!!! Gonna test it with something complex later! Congrats!

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