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EditYourself: Transcript-driven talking head editing; - speech insertion, removal, and retiming; - built on LTX-0.9.7, yeah not LTX2; - preserves identity ; trained on 475 hours of HQ clips; supports up to 2.0MP.

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Wildminder

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14,431 görüntüleme • 4 ay önce •via X (Twitter)

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Impressive work for LTX-2. Face Swap LoRA - Identity-locked video face swapping; - trained on 300+ HQ pairs @ 512x512; - optimized for close-up shots and landscape aspect ratios; Alpha release.
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Impressive work for LTX-2. Face Swap LoRA - Identity-locked video face swapping; - trained on 300+ HQ pairs @ 512x512; - optimized for close-up shots and landscape aspect ratios; Alpha release.

Wildminder

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KDTalker is really wild 🤯👇 - Can run on single 4090 or 3090 🤩 - Uses Diffusion for generating audio-driven Talking Portraits - Preserves character identity with fine facial details - Expressions change with the speech, giving high pose diversity
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KDTalker is really wild 🤯👇 - Can run on single 4090 or 3090 🤩 - Uses Diffusion for generating audio-driven Talking Portraits - Preserves character identity with fine facial details - Expressions change with the speech, giving high pose diversity

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LTX-2.3 Transition LoRA. preserves semantic stability for T2V/I2V without the usual mid-clip identity drift.
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LTX-2.3 Transition LoRA. preserves semantic stability for T2V/I2V without the usual mid-clip identity drift.

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NEW: Kokoro 82M - APACHE 2.0 licensed, Text to Speech model, trained on < 100 hours of audio 🔥
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NEW: Kokoro 82M - APACHE 2.0 licensed, Text to Speech model, trained on < 100 hours of audio 🔥

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Introducing Parrot 🦜 Our first speech-to-text model built for production-grade voice agents with an industry leading accuracy, built for noisy calls, regional dialects and compressed audio. Trained on thousands of hours of real-world audio to make sure when you say Udaipur, the agent doesn't hear 'you-die-poor'.
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Introducing Parrot 🦜 Our first speech-to-text model built for production-grade voice agents with an industry leading accuracy, built for noisy calls, regional dialects and compressed audio. Trained on thousands of hours of real-world audio to make sure when you say Udaipur, the agent doesn't hear 'you-die-poor'.

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Finally someone is ready to teach Yeah I'm ready to teach what know about video editing Live on stream on Clapmi HQ Would be covering capcut and resolve Check out the video to learn more
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Finally someone is ready to teach Yeah I'm ready to teach what know about video editing Live on stream on Clapmi HQ Would be covering capcut and resolve Check out the video to learn more

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Introducing Universal-1: Our most powerful and accurate Speech AI model yet. ✅ Trained on 12.5M hours of multilingual speech data ✅ 13.5% more accurate than models like Whisper ✅ Up to 30% fewer hallucinations than seq2seq models ✅ Just 38 seconds to process 1 hour of audio
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Introducing Universal-1: Our most powerful and accurate Speech AI model yet. ✅ Trained on 12.5M hours of multilingual speech data ✅ 13.5% more accurate than models like Whisper ✅ Up to 30% fewer hallucinations than seq2seq models ✅ Just 38 seconds to process 1 hour of audio

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Maybe I’ve been living under a rock, but when did open source video models get this good? This is LTX 2.3…and yeah, it’s not hard to guess what it’s trained on. Still wild this runs locally. No wonder Sora got shut down.
3:54

Maybe I’ve been living under a rock, but when did open source video models get this good? This is LTX 2.3…and yeah, it’s not hard to guess what it’s trained on. Still wild this runs locally. No wonder Sora got shut down.

JD | RoyalCities

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Qwen-Image-Edit is out in anycoder for image editing in your vibe coded apps Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing.
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Qwen-Image-Edit is out in anycoder for image editing in your vibe coded apps Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing.

AK

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Here is a peek at some B-17 clips I've been cleaning up. Hard not to get emotional editing 6 hours of this. I hope all generations always remember what the WWII generation sacrificed for their freedom. It's beyond heroic. Carry on.🫡
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Here is a peek at some B-17 clips I've been cleaning up. Hard not to get emotional editing 6 hours of this. I hope all generations always remember what the WWII generation sacrificed for their freedom. It's beyond heroic. Carry on.🫡

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Yesterday we introduced SeamlessExpressive — a new model that preserves unique vocal styles & expression for speech translation, built on our SeamlessM4T v2 foundation model. More details on the family of Seamless Communication models ➡️
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Yesterday we introduced SeamlessExpressive — a new model that preserves unique vocal styles & expression for speech translation, built on our SeamlessM4T v2 foundation model. More details on the family of Seamless Communication models ➡️

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Update Grok 4 on your iPhone to version 1.1.71. It appears that Grok Imagine speech is available to all users. Video made using Grok Imagine and editing software to combine the clips.
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Update Grok 4 on your iPhone to version 1.1.71. It appears that Grok Imagine speech is available to all users. Video made using Grok Imagine and editing software to combine the clips.

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The new open-source Text to Speech model: Fish Speech 1.4 is brilliant! Trained on a massive 700K hours of multilingual speech data in 8 languages - Instant voice cloning 🗣️ - Ultra-low latency ⚡ - Compact model (~1GB weights) 🏋️‍♂️
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The new open-source Text to Speech model: Fish Speech 1.4 is brilliant! Trained on a massive 700K hours of multilingual speech data in 8 languages - Instant voice cloning 🗣️ - Ultra-low latency ⚡ - Compact model (~1GB weights) 🏋️‍♂️

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We have a new open source video model. These clips were all generated with LTX-2 on the creator's local machine 🤯 It can make clips up to 20 seconds at 4K resolution. And it speaks! (created by u/yanokusnir)
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We have a new open source video model. These clips were all generated with LTX-2 on the creator's local machine 🤯 It can make clips up to 20 seconds at 4K resolution. And it speaks! (created by u/yanokusnir)

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Built on legacy. Driven by passion. Here to win.
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Built on legacy. Driven by passion. Here to win.

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Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale blog: Large-scale generative models such as GPT and DALL-E have revolutionized natural language processing and computer vision research. These models not only generate high fidelity text or image outputs, but are also generalists which can solve tasks not explicitly taught. In contrast, speech generative models are still primitive in terms of scale and task generalization. In this paper, we present Voicebox, the most versatile text-guided generative model for speech at scale. Voicebox is a non-autoregressive flow-matching model trained to infill speech, given audio context and text, trained on over 50K hours of speech that are neither filtered nor enhanced. Similar to GPT, Voicebox can perform many different tasks through in-context learning, but is more flexible as it can also condition on future context. Voicebox can be used for mono or cross-lingual zero-shot text-to-speech synthesis, noise removal, content editing, style conversion, and diverse sample generation. In particular, Voicebox outperforms the state-of-the-art zero-shot TTS model VALL-E on both intelligibility (5.9% vs 1.9% word error rates) and audio similarity (0.580 vs 0.681) while being up to 20 times faster.
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Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale blog: Large-scale generative models such as GPT and DALL-E have revolutionized natural language processing and computer vision research. These models not only generate high fidelity text or image outputs, but are also generalists which can solve tasks not explicitly taught. In contrast, speech generative models are still primitive in terms of scale and task generalization. In this paper, we present Voicebox, the most versatile text-guided generative model for speech at scale. Voicebox is a non-autoregressive flow-matching model trained to infill speech, given audio context and text, trained on over 50K hours of speech that are neither filtered nor enhanced. Similar to GPT, Voicebox can perform many different tasks through in-context learning, but is more flexible as it can also condition on future context. Voicebox can be used for mono or cross-lingual zero-shot text-to-speech synthesis, noise removal, content editing, style conversion, and diverse sample generation. In particular, Voicebox outperforms the state-of-the-art zero-shot TTS model VALL-E on both intelligibility (5.9% vs 1.9% word error rates) and audio similarity (0.580 vs 0.681) while being up to 20 times faster.

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Giorgia Meloni supports Trump and endorses JD Vance on free speech.
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Giorgia Meloni supports Trump and endorses JD Vance on free speech.

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Ahmad 🇵🇸🇨🇩 Spectacular Spider-Man was partly built on secret identity drama. And in Spider-Man TNAS Harry and MJ were constantly talking about how Peter always fails to show up due to him going out as a Spider-Man.

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