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fffiloniΒ 
posted an update 11 days ago
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298
Been pushing Viggle Animate a bit further πŸ‘€

Viggle Mine is my take on longer, harder character replacement shots β€” crowds, distance changes, characters turning their back and reappearing.

Still experimental, but it’s getting surprisingly robust.

Try it : fffiloni/Viggle-Mine πŸ€—
fffiloniΒ 
posted an update about 1 month ago
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2170
If an agent can build the obvious demo, the obvious demo probably isn’t worth building anymore.
For years, turning a research repo into something people could actually try was valuable by itself.
That part is becoming automated β€” and that’s a good thing.

Which means the interesting work moves elsewhere: finding the weird use case, the right interaction, the unexpected model combination β€” or simply knowing which paper is worth anyone’s attention.

The demo used to be the product. Now it needs a point of view.
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mlabonneΒ 
posted an update about 2 months ago
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4741
Deploy local agents everywhere with LiquidAI/LFM2.5-2.6B

Unlike agents that depend on cloud APIs, local agents give you free inference, low latency, and real privacy.

Removing the per-token cost changes how developers build: agents can now be massively parallelized on local hardware, running background tasks that burn through millions of tokens at no marginal cost!
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fffiloniΒ 
posted an update 3 months ago
fffiloniΒ 
posted an update 3 months ago
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1908
I made a Hugging Face Space for SCAIL-2 πŸ€—

Reference character + driving motion β†’ animated result.

A simple demo to explore the paper’s core workflow with curated examples.

πŸ‘‰ fffiloni/SCAIL-2
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fffiloniΒ 
posted an update 3 months ago
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861
⏱️ Built a small Space for Visual Chronometer / Pulse of Motion.

Upload a video and estimate its Physical FPS: the frame rate implied by visual motion, independent of metadata.
Useful to inspect β€œchronometric hallucination” in generated videos: clips that look smooth, but move with the wrong physical time scale.

Try it here: fffiloni/Pulse-of-Motion
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codelionΒ 
posted an update 3 months ago
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SPROG-9M β€” a 9.37M parameter model trained from scratch to solve GSM8K-style math without using an LLM at inference.

The model, codelion/sprog-9m, predicts symbolic programs over number slots, then a deterministic executor does the arithmetic. With a simple verifier, it reaches ~11.8% on GSM8K test.

We also released the dataset: codelion/gsm8k-synth, 117K validated synthetic GSM8K-style problems.

Tiny model, no pretraining, no LLM at inference, runs on a laptop.
fffiloniΒ 
posted an update 3 months ago
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1666
A few weeks ago, @victor opened the door: coding agents can now ship Hugging Face Spaces autonomously.

I pulled on that thread.

As someone who builds and ships Gradio demos regularly, I didn’t just want to reproduce the loop. I wanted to see what happens when that loop is plugged into the whole Hugging Face stack.

The interesting part is not only that an agent can ship a Space.

It’s what happens when Space generation becomes a first-class Hugging Face workflow.

That became Agentic Space Factory.

More soon. πŸ€—
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eienmojikiΒ 
posted an update 3 months ago