Nvidia Cosmos 3

SOTA open source model for image and vid generation. Beats all others but is too big to run on most people’s computers at 64b params.

Still impressive nonetheless given its artificially generated training sets.

Beats nano banana 1 but not yet competitive with 2 or seedance2, grok imagine,etc.

	▲	xnx 43 minutes ago \| parent [-]
		Great summary. I find image and video generation models are a more understandable reality check for how close local models are to frontier models.

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darth_avocado 34 minutes ago | parent | prev | next [-]

> Cosmos 3 Nano is the compact version with 16B parameters and optimized for efficient inference. It’s designed to run on workstation-grade compute, like the NVIDIA RTX PRO 6000 GPU for real-time robotics inference and physical AI applications.

Looking forward to trying this out on my $10000+ workstation grade GPU that I need an equally expensive set up to run.

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causal an hour ago | parent | prev [-]

I'm struggling to understand what this does.

> Generates future observations and action sequences.

Is that just a complicated way of saying video gen?

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swiftcoder an hour ago | parent | next [-]

As I understand it, they mean both computer vision and video gen, linked by a pretty robust world model. One of their hosted examples is purely analysing an existing video, the other is predicting (i.e. video gen) from a static image to a video

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derac an hour ago | parent | prev | next [-]

Look at the table of supported modalities. It can take in input of image/video/text/actions and output image/video/text/actions.

	▲	causal 3 minutes ago \| parent [-]
		That just raises more questions. What kind "observation or action" image does input generate? What is an action output if it's not text?

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ainch 20 minutes ago | parent | prev [-]

You can fine-tune it so, given an image and a task description, it generates a corresponding set of actions.