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teagrjohnsonΒ  submitted a paper about 1 month ago
Characterizing Narrative Content in Web-scale LLM Pretraining Data
teagrjohnsonΒ  authored a paper about 1 month ago
Characterizing Narrative Content in Web-scale LLM Pretraining Data
bryanlimyΒ  authored a paper about 2 months ago
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
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prithivMLmodsΒ 
posted an update 4 days ago
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3309
Made a demo for Text/Image-to-3D Video and Image-to-3D Video asset generation using TRELLIS.2. It is paired with Z-Image-Turbo to accelerate the input image preprocessing pipeline, streamlining the Image-to-3D workflow. The generated GLB (GL Transmission Format) files are converted into MP4 (MPEG-4) videos, making them easy to preview and share. Try it now on Hugging Face Spaces.πŸ€—

➠ Image-to-3D-Video-Asset-Generator: prithivMLmods/Image-to-3D-Video-Asset-Generator
➠ collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
➠ github: https://github.com/PRITHIVSAKTHIUR/Image-to-3D-Video-Asset-Generator

β€· To learn more, visit the app page or the respective model pages.
NymboΒ 
posted an update 9 days ago
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5453
Introducing Inflect-v2, two exceptionally small, open-weight English TTS models at just 3.9M and 9.3M parameters. Both generate speech multiple times faster than real-time on CPU. Despite their size, Inflect-v2 delivers quality that is competitive with much larger lightweight TTS systems, including KittenTTS, Piper, and Supertonic-3.

CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.

See it for yourselves:
owensong/Inflect-Micro-v2
owensong/Inflect-Nano-v2

Try the Demos:
Nymbo/Inflect-TTS (unlimited CPU usage)
owensong/Inflect-v2 (ultra-fast ZeroGPU usage)
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eienmojikiΒ 
posted an update about 1 month ago
teagrjohnsonΒ 
submitted a paper to Daily Papers about 1 month ago
teagrjohnsonΒ 
authored a paper about 1 month ago
prithivMLmodsΒ 
posted an update about 2 months ago
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7898
Wan2.2-I2V-Fast with highly upscaled sequential frame sampling is now available as a Spaces demo, built using Wan2.2-I2V and FLUX.2-Klein. Try the demo using the links below.πŸ‘‡

➠ wan2.2-i2v-fast : prithivMLmods/wan2.2-i2v-fast
➠ github: https://github.com/prithivsakthiur/wan2.2-i2v-fast
➠ collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

β€· To learn more, visit the app page or the respective model pages.
bryanlimyΒ 
authored a paper about 2 months ago
prithivMLmodsΒ 
posted an update 2 months ago
alielfilali01Β 
posted an update 2 months ago
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673
Plans in HTML > Plans in Markdown
prithivMLmodsΒ 
posted an update 2 months ago
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6293
PiD β€” Pixel Diffusion Decoder Image Edit Upscale and Image Generation Upscale, an all-in-one demo, is now live on Spaces! Great improvements in realism-based image generation and editing are powered by FLUX.2-Klein, while image generation is paired with Z-Image, and upscaling is enabled by default!

πŸ€— Space: prithivMLmods/PiD-Image-Upscaler
πŸ”— Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

πŸ€— > To learn more, visit the app page or the respective model pages.
Cartinoe5930Β 
authored a paper 2 months ago
mridul3301Β 
authored 2 papers 2 months ago
prithivMLmodsΒ 
posted an update 2 months ago
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5624
I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached β€œSpace of the Week”! A few Spaces are still topping the list even after many months.

Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.

Thanks for all the community support! πŸ€—β€οΈ

πŸ”— Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
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Cartinoe5930Β 
authored 3 papers 3 months ago
Aurelien-MorganΒ 
posted an update 3 months ago
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1105
@retrain-pipelines v0.2.0 is out !
I'm at Station F at My booth with GOSIM Paris 2026 today & tomorrow.
Come meet me for a live in-person demo and a chat !
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ljvmiranda921Β 
authored a paper 3 months ago
prithivMLmodsΒ 
posted an update 3 months ago
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5964
Multimodal-Edge Demo, a node-based inference canvas demo, is now live on Spaces. It features node-based Transformers for fast inference across 10+ edge-device multimodal models on the Hub, all within a single space. The series includes models from Qwen3.5, Qwen3-VL, Gemma 4, and the LFM 2.5 VL model series, with support for reasoning and grounding tasks.

πŸ€— Demo: prithivMLmods/Multimodal-Edge-Node
πŸ”— GitHub: https://github.com/PRITHIVSAKTHIUR/Multimodal-Edge-Node
βœ… Multimodal Apps Collections: https://huggingface.co/collections/prithivMLmods/hall-of-multimodal-apps

πŸ€— > To learn more, visit the app page or the respective model pages.