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Prithiv Sakthi

prithivMLmods
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https://prithivsakthi.vercel.app/

AI & ML interests

computer vision, nlp, multimodality @strangerzonehf @strangerguardhf

Recent Activity

replied to their post about 3 hours ago
Dropped the HeadshotX : a super-realistic headshot adapter for https://huggingface.co/Qwen/Qwen-Image, an image generation model by Qwen. It is an advanced LoRA adaptation of the Qwen-Image model and an upgraded version of https://huggingface.co/prithivMLmods/Qwen-Image-Studio-Realism, offering more precise portrait rendering with a strong focus on realism. The model was trained on diverse face types from across the world, labeled with `florence2-en` and caption-optimized using https://huggingface.co/prithivMLmods/DeepCaption-VLA-7B. 11(types) × 5 different face types: Asian, Hispanic, Caucasian, Latina, Middle Eastern, etc. ⮞ Model🤗: https://huggingface.co/prithivMLmods/Qwen-Image-HeadshotX ⮞ The Previous Adapter (LoRA): https://huggingface.co/prithivMLmods/Qwen-Image-Studio-Realism ⮞ Collection: https://huggingface.co/collections/prithivMLmods/qwen-image-exp-lora-68a978fe11400bc3165b0c4d . . . To know more about it, visit the app page or the respective model page!!
replied to their post about 7 hours ago
OpenGVLab's InternVL3_5-2B-MPO [Mixed Preference Optimization (MPO)] is a compact vision-language model in the InternVL3.5 series. You can now experience it in the Tiny VLMs Lab, an app featuring 15+ multimodal VLMs ranging from 250M to 4B parameters. These models support tasks such as OCR, reasoning, single-shot answering with small models, and captioning (including ablated variants), across a broad range of visual categories. They are also capable of handling images with complex, sensitive, or nuanced content, while adapting to varying aspect ratios and resolutions. ✨ Space/App : https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab 🫙 Model : https://huggingface.co/OpenGVLab/InternVL3_5-2B-MPO ↗️ Collection: https://huggingface.co/collections/OpenGVLab/internvl35-68ac87bd52ebe953485927fb 🗞️ Paper : https://arxiv.org/pdf/2508.18265 ↗️ Multimodal Space Collection : https://huggingface.co/collections/prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0 To learn more, visit the relevant spaces, collections, and model cards.
updated a collection about 7 hours ago
DeepCaption attr.
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