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Source channel @githubtrending · Post #15421 · Jan 18

#python#audio#deeplearning#minicpm#python#pytorch#speech#speech_synthesis#text_to_speech#tts#tts_model#voice_cloning VoxCPM is a free, open-source TTS tool that turns text into realistic speech without tokens, creating expressive audio that matches context and clones voices perfectly from just 3-10 seconds of sample. Download VoxCPM1.5 (800M params) from Hugging Face, install via pip, and use simple Python or CLI commands for fast synthesis (RTF 0.15 on RTX 4090) or fine-tuning your own voices. You benefit by easily making natural audiobooks, podcasts, clones, or apps with pro-quality sound—saving time and costs on voice work. https://github.com/OpenBMB/VoxCPM

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Украина 2022. Итоги.

@WarUAPravda · Post #1269 · 05/15/2026, 05:40 AM

🇷🇺 Подбитая/Уничтоженная бронетехника ВС РФ в селе Александровка Херсонская Область На фото : 2 Т-90А/М, 4 БМП-3, 3 Тигр-М 🇬🇧 Damaged/Destroyed armored vehicles of the Russian Armed Forces in the village of Oleksandrivka, Kherson Oblast. Pictured: 2 T-90A/M, 4 BMP-3, 3 Tigr-M #потеривсрф#всрф#херсонскаяобласть #srflosses#vsrf#khersonregion @WarUAPravda

Украина 2022. Итоги.

@WarUAPravda · Post #987 · 04/20/2026, 04:46 PM

🇷🇺 Подбитая/Брошенная/Уничтоженная бронетехника ВС РФ под селом Русанов на киевском направлении На фото : 2 Захваченых БМП-2, 5 Подбитых/Уничтоженных БМП-2,3 Т-72Б3, 1 МТ-ЛБ 🇬🇧 Damaged/Abandoned/Destroyed Russian Armed Forces armored vehicles near the village of Rusanov on the Kyiv front. Pictured: 2 captured BMP-2s, 5 damaged/destroyed BMP-2s, 3 T-72B3s, 1 MT-LB #потеривсрф#киевскоенаправление#бронетехника#трофеи#всрф #srflosses#kyivdirection#armoredvehicles#trophies#vsrf @WarUAPravda