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First test of LatentSync; an open source lip sync tool 🔥 Link in thread 🧵 It only requires a source video and a spoken audio clip. 🔊 Google Veo2: video clips E2-F5-TTS: Text to Speech (o/s) LatentSync: Lip sync (o/s) MMAudio: Background SFX (o/s)

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Blaine Brown

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21,262 Aufrufe • vor 1 Jahr •via X (Twitter)

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I recently saw a thread of an AI tool (D-ID) that can turn a single image into a video when given text or an audio file✨ I decided to see if I could build something similar using only #python and #opensource models🐍💕 I managed to do it in a few hours!!! Here's the result👩🏾‍💻
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I recently saw a thread of an AI tool (D-ID) that can turn a single image into a video when given text or an audio file✨ I decided to see if I could build something similar using only #python and #opensource models🐍💕 I managed to do it in a few hours!!! Here's the result👩🏾‍💻

Marlene Mhangami

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Facial expressions are really well handled in Kling AI 2.0’s text-to-video mode 🎭🎬 It brings a whole new level of emotion and realism to the scenes 👀🔥
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Facial expressions are really well handled in Kling AI 2.0’s text-to-video mode 🎭🎬 It brings a whole new level of emotion and realism to the scenes 👀🔥

Pierrick Chevallier | IA

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LTX-2.3 is now live on OpenArt. 🎬 The most capable open video model just got a major upgrade and you can use it right now. What's new in 2.3: → Sharper fine detail: Hair, textures, text, edges. All of it. → Tighter prompt adherence: Complex multi-subject prompts? Handle it. → Stronger image-to-video: less freezing, less Ken Burns drift, more actual motion. → Cleaner audio: fewer artifacts, tighter sync across text-to-video and audio workflows. → Native portrait: up to 1080×1920, trained on vertical data.
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LTX-2.3 is now live on OpenArt. 🎬 The most capable open video model just got a major upgrade and you can use it right now. What's new in 2.3: → Sharper fine detail: Hair, textures, text, edges. All of it. → Tighter prompt adherence: Complex multi-subject prompts? Handle it. → Stronger image-to-video: less freezing, less Ken Burns drift, more actual motion. → Cleaner audio: fewer artifacts, tighter sync across text-to-video and audio workflows. → Native portrait: up to 1080×1920, trained on vertical data.

OpenArt

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This AI just turned me into a film director… No editing skills. No timeline headaches. Just one prompt. This is Seedance 2.0 🎬 You can literally combine: → Text → Images → Videos → Audio And it understands everything. Even crazier? You can control it like this: Image → character Video → camera movement audio1 → music/voice It doesn’t just generate clips… It builds full cinematic scenes with: → Consistent characters → Smooth transitions → Realistic motion → Built-in lip sync Basically… From a single prompt → you get a multi-shot story. Not AI video. AI filmmaking. Go try it before everyone catches on 👇
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This AI just turned me into a film director… No editing skills. No timeline headaches. Just one prompt. This is Seedance 2.0 🎬 You can literally combine: → Text → Images → Videos → Audio And it understands everything. Even crazier? You can control it like this: Image → character Video → camera movement audio1 → music/voice It doesn’t just generate clips… It builds full cinematic scenes with: → Consistent characters → Smooth transitions → Realistic motion → Built-in lip sync Basically… From a single prompt → you get a multi-shot story. Not AI video. AI filmmaking. Go try it before everyone catches on 👇

Kshitij Mishra | AI & Tech

60,393 Aufrufe • vor 3 Monaten

🚨 JUST IN: THIS FREE TOOL JUST REPLACED FOUR AI IMAGE AND VIDEO SUBSCRIPTIONS AT ONCE. Midjourney. Krea. Higgsfield. Openart. One repo. 200+ models. Zero dollars a month. Here is what it actually does. It is a full image and video studio that runs in your browser or as a desktop app. Text to image, image to image, text to video, image to video, lip sync, cinema mode with real camera controls. All of it. 4,500 people already starred this. What you get for free: → 50+ image models including Flux, Midjourney v7, Ideogram, GPT-4o, Seedream → 60+ video models including Kling, Sora, Veo, Runway, Wan, Hailuo → lip sync studio with 9 dedicated models. upload a portrait and audio and it talks → cinema studio with real camera controls. lens, focal length, aperture, film stock → feed up to 14 reference images into one generation → self-hosted. your data never leaves your machine The crazy part is there is also a hosted version that needs zero setup. Just open the link and start generating. Now the math. Midjourney Standard: $30/month Krea AI Pro: $30/month Higgsfield Plus: $49/month Openart AI: $15/month That is $124 a month. $1,488 a year. This repo does everything all four do. With more models than any of them. For free. Forever. No subscription. No vendor lock-in. MIT licensed. Download it in one click on Mac or Windows. Someone should have told me about this sooner. I feel like an idiot. ( save this )
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🚨 JUST IN: THIS FREE TOOL JUST REPLACED FOUR AI IMAGE AND VIDEO SUBSCRIPTIONS AT ONCE. Midjourney. Krea. Higgsfield. Openart. One repo. 200+ models. Zero dollars a month. Here is what it actually does. It is a full image and video studio that runs in your browser or as a desktop app. Text to image, image to image, text to video, image to video, lip sync, cinema mode with real camera controls. All of it. 4,500 people already starred this. What you get for free: → 50+ image models including Flux, Midjourney v7, Ideogram, GPT-4o, Seedream → 60+ video models including Kling, Sora, Veo, Runway, Wan, Hailuo → lip sync studio with 9 dedicated models. upload a portrait and audio and it talks → cinema studio with real camera controls. lens, focal length, aperture, film stock → feed up to 14 reference images into one generation → self-hosted. your data never leaves your machine The crazy part is there is also a hosted version that needs zero setup. Just open the link and start generating. Now the math. Midjourney Standard: $30/month Krea AI Pro: $30/month Higgsfield Plus: $49/month Openart AI: $15/month That is $124 a month. $1,488 a year. This repo does everything all four do. With more models than any of them. For free. Forever. No subscription. No vendor lock-in. MIT licensed. Download it in one click on Mac or Windows. Someone should have told me about this sooner. I feel like an idiot. ( save this )

Kanika

14,758 Aufrufe • vor 3 Monaten

Before the week ends, let's acknowledge one of the most INSANE week ever for open AI, with 25+ notable open-weight drops across every modality: 🧠 LLMs → NVIDIA Nemotron 3 Ultra: 550B hybrid Mamba-MoE, only 55B active, 1M context, MMLU 89.1. NVFP4 variant claims ~5x throughput on Blackwell. First openly-weighted 550B hybrid Mamba-Transformer, closing the gap with frontier closed models. → Google Gemma 4 12B: fully open dense any-to-any (text/image/audio/video), 256k context, encoder-free, 140+ languages, AIME 2026 at 77.5. Shipped with a 23-checkpoint QAT wave (mobile ONNX + MLX). Most deployable model of the week. → StepFun Step-3.7-Flash: 198B sparse MoE VLM, ~11B active, SWE-Bench PRO 56.3. Apache 2.0. → Liquid AI LFM2.5-8B-A1B: edge MoE, just 1.5B active, 128k ctx, MATH500 88.8, MLX-ready. Best on-device option this week. → JetBrains Mellum2-12B-A2.5B-Thinking: their first open MoE, near-Qwen3-14B coding at 2.5B active. Apache 2.0. 🎨 Image gen (the surprise of the week) → Ideogram 4: their FIRST-EVER open weights. 9.3B flow-matching DiT trained from scratch. #2 overall behind GPT Image 2, top open-weight model on Design Arena + LMArena. Strongest open checkpoint for text-rich images, full stop. It has taste. Still can't believe this is open weights. 🔊 Audio & Speech (a breakout week for open TTS, 4 labs shipped) → Boson Higgs Audio v3 4B: 102 languages, 21 emotions, singing/whispering/shouting, sub-second TTFA. → RedNote dots.tts: the only fully continuous (no codec) open TTS pipeline, Apache 2.0. → Google Magenta RealTime 2: real-time music gen, <200ms latency, text+audio+MIDI. multimodalart ported it to PyTorch within hours with live ZeroGPU demos. → NVIDIA Nemotron-3.5 ASR: 600M streaming, 17x more concurrent streams vs Parakeet RNNT 1.1B. 👁️ Vision & VLMs → PaddleOCR-VL-1.6: SOTA document parsing at 1B params, Apache 2.0. → Baidu NAVA: 6.3B joint audio-video gen, best-in-class A/V sync, Apache 2.0. 🎬 Video, 3D & World Models → NVIDIA Cosmos3-Super: 64B omnimodal world model coupling action trajectories with video+audio gen, for Physical AI. → JD JoyAI-Echo: up to 5-min multi-shot text-to-video on LTX-2.3. → ByteDance Bernini-R + VAST TripoSplat (single-image-to-3D Gaussian splats, MIT).
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Before the week ends, let's acknowledge one of the most INSANE week ever for open AI, with 25+ notable open-weight drops across every modality: 🧠 LLMs → NVIDIA Nemotron 3 Ultra: 550B hybrid Mamba-MoE, only 55B active, 1M context, MMLU 89.1. NVFP4 variant claims ~5x throughput on Blackwell. First openly-weighted 550B hybrid Mamba-Transformer, closing the gap with frontier closed models. → Google Gemma 4 12B: fully open dense any-to-any (text/image/audio/video), 256k context, encoder-free, 140+ languages, AIME 2026 at 77.5. Shipped with a 23-checkpoint QAT wave (mobile ONNX + MLX). Most deployable model of the week. → StepFun Step-3.7-Flash: 198B sparse MoE VLM, ~11B active, SWE-Bench PRO 56.3. Apache 2.0. → Liquid AI LFM2.5-8B-A1B: edge MoE, just 1.5B active, 128k ctx, MATH500 88.8, MLX-ready. Best on-device option this week. → JetBrains Mellum2-12B-A2.5B-Thinking: their first open MoE, near-Qwen3-14B coding at 2.5B active. Apache 2.0. 🎨 Image gen (the surprise of the week) → Ideogram 4: their FIRST-EVER open weights. 9.3B flow-matching DiT trained from scratch. #2 overall behind GPT Image 2, top open-weight model on Design Arena + LMArena. Strongest open checkpoint for text-rich images, full stop. It has taste. Still can't believe this is open weights. 🔊 Audio & Speech (a breakout week for open TTS, 4 labs shipped) → Boson Higgs Audio v3 4B: 102 languages, 21 emotions, singing/whispering/shouting, sub-second TTFA. → RedNote dots.tts: the only fully continuous (no codec) open TTS pipeline, Apache 2.0. → Google Magenta RealTime 2: real-time music gen, <200ms latency, text+audio+MIDI. multimodalart ported it to PyTorch within hours with live ZeroGPU demos. → NVIDIA Nemotron-3.5 ASR: 600M streaming, 17x more concurrent streams vs Parakeet RNNT 1.1B. 👁️ Vision & VLMs → PaddleOCR-VL-1.6: SOTA document parsing at 1B params, Apache 2.0. → Baidu NAVA: 6.3B joint audio-video gen, best-in-class A/V sync, Apache 2.0. 🎬 Video, 3D & World Models → NVIDIA Cosmos3-Super: 64B omnimodal world model coupling action trajectories with video+audio gen, for Physical AI. → JD JoyAI-Echo: up to 5-min multi-shot text-to-video on LTX-2.3. → ByteDance Bernini-R + VAST TripoSplat (single-image-to-3D Gaussian splats, MIT).

Victor M

540,078 Aufrufe • vor 1 Monat

Building RAG is easy. Parsing real, unstructured data is the hard part. Most tools fail when documents get complicated. RAGFlow by InfiniFlow makes the entire process visual and flawless 🔥 It is an (open-source!) engine built specifically to find the exact needle in a data haystack, even across literally unlimited tokens. The platform comes packed with: → "Quality in, quality out" parsing for highly complex formats → Multiple recall paired with fused re-ranking → A built-in Python and JavaScript code executor for agents → An orchestrable ingestion pipeline Here's why it stands out: 1️⃣ Structural Understanding Instead of just scraping text, it handles tables across pages, scanned copies, slides, and Excel sheets natively using deep document understanding. 2️⃣ Grounded Citations Every answer is verifiable. The UI highlights the exact chunks used, allowing you to trace any response directly back to the source material. 3️⃣ Enterprise Synchronization Keep your context constantly updated with native data sync from Google Drive, Notion, Discord, and Confluence. Stop letting bad document parsing ruin your RAG systems. Best part? It's 100% Free and open-source. Link to the repo in 🧵↓
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Building RAG is easy. Parsing real, unstructured data is the hard part. Most tools fail when documents get complicated. RAGFlow by InfiniFlow makes the entire process visual and flawless 🔥 It is an (open-source!) engine built specifically to find the exact needle in a data haystack, even across literally unlimited tokens. The platform comes packed with: → "Quality in, quality out" parsing for highly complex formats → Multiple recall paired with fused re-ranking → A built-in Python and JavaScript code executor for agents → An orchestrable ingestion pipeline Here's why it stands out: 1️⃣ Structural Understanding Instead of just scraping text, it handles tables across pages, scanned copies, slides, and Excel sheets natively using deep document understanding. 2️⃣ Grounded Citations Every answer is verifiable. The UI highlights the exact chunks used, allowing you to trace any response directly back to the source material. 3️⃣ Enterprise Synchronization Keep your context constantly updated with native data sync from Google Drive, Notion, Discord, and Confluence. Stop letting bad document parsing ruin your RAG systems. Best part? It's 100% Free and open-source. Link to the repo in 🧵↓

Charly Wargnier

19,220 Aufrufe • vor 4 Monaten

I just turned one UGC ad into 5 different languages in 20 minutes 🤯 This workflow is insane: Take any winning UGC ad... Clone the creator's voice... Translate it to any language... And lip sync so it looks like they actually speak it. Perfect for e-comm brands & agencies scaling ads into new markets without reshooting anything. Say you've got a winning ad in English. You want to run it in Germany, France, Spain, Japan—wherever. But that means hiring new creators, re-filming the same script, hoping the energy matches the original. Or running the English ad and hoping people don't care. (They do.) ElevenLabs handles all of it: → Upload your original video → Clone the creator's voice instantly → Translate to any target language → AI generates the dubbed audio in their voice → Lip sync warps their mouth to match the new language perfectly Same creator. Same energy. Completely different language. What this unlocks: - One winning UGC ad → every market you want to test - No reshooting for localization - No hiring native-speaking creators per country - Lip sync that actually looks real I recorded a 12-minute Loom walking through exactly how to do this step-by-step inside ElevenLabs. > Comment "LABS" > Like this post And I'll send it over (must be following so I can DM)
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I just turned one UGC ad into 5 different languages in 20 minutes 🤯 This workflow is insane: Take any winning UGC ad... Clone the creator's voice... Translate it to any language... And lip sync so it looks like they actually speak it. Perfect for e-comm brands & agencies scaling ads into new markets without reshooting anything. Say you've got a winning ad in English. You want to run it in Germany, France, Spain, Japan—wherever. But that means hiring new creators, re-filming the same script, hoping the energy matches the original. Or running the English ad and hoping people don't care. (They do.) ElevenLabs handles all of it: → Upload your original video → Clone the creator's voice instantly → Translate to any target language → AI generates the dubbed audio in their voice → Lip sync warps their mouth to match the new language perfectly Same creator. Same energy. Completely different language. What this unlocks: - One winning UGC ad → every market you want to test - No reshooting for localization - No hiring native-speaking creators per country - Lip sync that actually looks real I recorded a 12-minute Loom walking through exactly how to do this step-by-step inside ElevenLabs. > Comment "LABS" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

11,121 Aufrufe • vor 7 Monaten

Introducing: OpenGranola 🔥 I built an open source meeting copilot for macOS. It transcribes both sides of your call on-device, searches your own notes in real time, and hands you talking points right when the conversation needs them. No audio leaves your Mac. Point it at a folder of markdown files, pick any LLM through OpenRouter (Claude, GPT-4o, Gemini, Llama), and it just works. It's invisible to screen share too — nobody knows you have it. The whole thing is open source. Link below
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Introducing: OpenGranola 🔥 I built an open source meeting copilot for macOS. It transcribes both sides of your call on-device, searches your own notes in real time, and hands you talking points right when the conversation needs them. No audio leaves your Mac. Point it at a folder of markdown files, pick any LLM through OpenRouter (Claude, GPT-4o, Gemini, Llama), and it just works. It's invisible to screen share too — nobody knows you have it. The whole thing is open source. Link below

yazin

292,985 Aufrufe • vor 4 Monaten

MiaoYan is a lightweight, native macOS Markdown editor for writing and notes — one of my open-source macOS projects. It just shipped its biggest update to date, introducing Split View for side-by-side Markdown editing and live preview, with smooth bidirectional scroll sync. This release also brings a full visual refinement, layout cycling between sidebar, list, and focus modes, faster startup with native window animations, and broad performance improvements across editing, preview, and export. Built entirely in Swift, not Electron. MiaoYan is local-first, requires no account, collects no telemetry, and avoids AI features by design. I built it for clean Markdown, performance, and a calm writing environment.
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MiaoYan is a lightweight, native macOS Markdown editor for writing and notes — one of my open-source macOS projects. It just shipped its biggest update to date, introducing Split View for side-by-side Markdown editing and live preview, with smooth bidirectional scroll sync. This release also brings a full visual refinement, layout cycling between sidebar, list, and focus modes, faster startup with native window animations, and broad performance improvements across editing, preview, and export. Built entirely in Swift, not Electron. MiaoYan is local-first, requires no account, collects no telemetry, and avoids AI features by design. I built it for clean Markdown, performance, and a calm writing environment.

Tw93

34,484 Aufrufe • vor 6 Monaten

Fuck yeah! MaskGCT - New open SoTA Text to Speech model! 🔥 > Zero-shot voice cloning > Emotional TTS > Trained on 100K hours of data > Long form synthesis > Variable speed synthesis > Bilingual - Chinese & English > Available on Hugging Face Fully non-autoregressive architecture: > Stage 1: Predicts semantic tokens from text, using tokens extracted from a speech self-supervised learning (SSL) model > Stage 2: Predicts acoustic tokens conditioned on the semantic tokens. Synthesised: "Would you guys personally like to have a fake fireplace, an electric one, in your house? Or would you rather have a real fireplace? Let me know down below. Okay everybody, that's all for today's video and I hope you guys learned a bunch of furniture vocabulary!" TTS scene keeps getting lit! 🐐
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Fuck yeah! MaskGCT - New open SoTA Text to Speech model! 🔥 > Zero-shot voice cloning > Emotional TTS > Trained on 100K hours of data > Long form synthesis > Variable speed synthesis > Bilingual - Chinese & English > Available on Hugging Face Fully non-autoregressive architecture: > Stage 1: Predicts semantic tokens from text, using tokens extracted from a speech self-supervised learning (SSL) model > Stage 2: Predicts acoustic tokens conditioned on the semantic tokens. Synthesised: "Would you guys personally like to have a fake fireplace, an electric one, in your house? Or would you rather have a real fireplace? Let me know down below. Okay everybody, that's all for today's video and I hope you guys learned a bunch of furniture vocabulary!" TTS scene keeps getting lit! 🐐

Vaibhav (VB) Srivastav

139,105 Aufrufe • vor 1 Jahr

🇨🇳 Another great Chinese Model, OmniHuman-1.5 from ByteDance Turns 1 image plus a voice track into expressive avatar video by pairing a System 1 and System 2 inspired planner with a Diffusion Transformer, Produces coherent motion for over 1 minute with moving camera and multi character scenes. Most avatar models move to the beat of the audio but miss meaning, so gestures feel generic and emotions feel shallow. The fix here is a Multimodal LLM planner that listens to the speech and drafts a structured plan describing intent, emotions, beats, and high level actions, which gives the motion engine clear semantic targets instead of only rhythm. The motion engine is a Multimodal Diffusion Transformer that fuses the plan with audio, the single reference image, and optional text prompts, then synthesizes continuous body, face, and head motion that matches both words and tone. A key trick is a Pseudo Last Frame, a synthetic target that summarizes the next expected state, which stabilizes fusion across modalities and keeps motion consistent over long spans. From just 1 image and speech, the system outputs speaking avatars with synchronized lips, context aware gestures, and continuous camera movement, and it also supports multi character interactions without manual choreography. Reported results show strong lip sync accuracy, high video quality, natural motion, and close match to text prompts, and the same setup works on nonhuman characters too.
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🇨🇳 Another great Chinese Model, OmniHuman-1.5 from ByteDance Turns 1 image plus a voice track into expressive avatar video by pairing a System 1 and System 2 inspired planner with a Diffusion Transformer, Produces coherent motion for over 1 minute with moving camera and multi character scenes. Most avatar models move to the beat of the audio but miss meaning, so gestures feel generic and emotions feel shallow. The fix here is a Multimodal LLM planner that listens to the speech and drafts a structured plan describing intent, emotions, beats, and high level actions, which gives the motion engine clear semantic targets instead of only rhythm. The motion engine is a Multimodal Diffusion Transformer that fuses the plan with audio, the single reference image, and optional text prompts, then synthesizes continuous body, face, and head motion that matches both words and tone. A key trick is a Pseudo Last Frame, a synthetic target that summarizes the next expected state, which stabilizes fusion across modalities and keeps motion consistent over long spans. From just 1 image and speech, the system outputs speaking avatars with synchronized lips, context aware gestures, and continuous camera movement, and it also supports multi character interactions without manual choreography. Reported results show strong lip sync accuracy, high video quality, natural motion, and close match to text prompts, and the same setup works on nonhuman characters too.

Rohan Paul

63,859 Aufrufe • vor 11 Monaten

It's a wrap for Solana Consumer Day— A heartfelt thanks to 260+ builders who gathered to define the future of consumer apps, incl. leaders from Nansen, Sky, Audius, Layer3, and Bonkbot s/o to Yash SEND for curating the event with us, and to chomp Jupiter @heliuslabs SOON - Solana Optimistic Network (Mainnet Arc) Sonic SVM tapestry Jambo @ReoffGenaud 1kx Ellipsis Labs Reown IRLs Cleverse Ventures for making it an unforgettable day! let this be the first in our many next community-led events 🔥
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It's a wrap for Solana Consumer Day— A heartfelt thanks to 260+ builders who gathered to define the future of consumer apps, incl. leaders from Nansen, Sky, Audius, Layer3, and Bonkbot s/o to Yash SEND for curating the event with us, and to chomp Jupiter @heliuslabs SOON - Solana Optimistic Network (Mainnet Arc) Sonic SVM tapestry Jambo @ReoffGenaud 1kx Ellipsis Labs Reown IRLs Cleverse Ventures for making it an unforgettable day! let this be the first in our many next community-led events 🔥

Superteam Vietnam

13,005 Aufrufe • vor 1 Jahr

Is there a market for an intelligently designed TWIN 60" 🌽 system? 60" strip till = 1/2 HP 1/2 the units of everything Could be more aggressive with depth of tillage in zone + CC biomass simultaneously Bigger tires Manure integration More intensive continuous cropping It has been proven from many growers that a simple modification of 52"8"52"8"52"8" rows not only fills the yield gap from 30's but could provide an uptick with the right hybrids able to capture more light and CO2 in more of its leaves and roots Banding nutrients deeper in the soil WITH big Covers that stay alive a lot longer. This adds resilience and keeps soil in place. Video is at Zack Smith plot this year where twin 60's outperformed 30's The plot was supposed to just compare 60's with 30's but we both knew static 60" rows will yield from 88-95% ... just like wide row cereals a slight modification to ensure root and plant spacing quickly narrows the gap while creating the bandwidth for more activities and synergies.
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Is there a market for an intelligently designed TWIN 60" 🌽 system? 60" strip till = 1/2 HP 1/2 the units of everything Could be more aggressive with depth of tillage in zone + CC biomass simultaneously Bigger tires Manure integration More intensive continuous cropping It has been proven from many growers that a simple modification of 52"8"52"8"52"8" rows not only fills the yield gap from 30's but could provide an uptick with the right hybrids able to capture more light and CO2 in more of its leaves and roots Banding nutrients deeper in the soil WITH big Covers that stay alive a lot longer. This adds resilience and keeps soil in place. Video is at Zack Smith plot this year where twin 60's outperformed 30's The plot was supposed to just compare 60's with 30's but we both knew static 60" rows will yield from 88-95% ... just like wide row cereals a slight modification to ensure root and plant spacing quickly narrows the gap while creating the bandwidth for more activities and synergies.

Jason Mauck

30,747 Aufrufe • vor 1 Jahr

🚨More Dementors In Canada? Op States: "Time: September 21, 7:20pm Location: Waterloo, Ontario, Canada I was out on my balcony filming a storm and sent the video to my partner (who’s currently out of town). He noticed something odd that I completely missed. In the first two seconds, you can see a bug fly by the camera on the right. Nothing unusual there. But right after that, there’s a black object that moves across the top-centre of the screen. It has what looks like a tail and a metallic or shiny-looking top. It doesn’t look like a bird or balloon to me, but I’m open to ideas! I didn't see it until after I watched the video back, so unfortunately it's very short and not focused on the object. The lights in the background are an installation in the nearby park. It's a metallic tree with LED lights and a water feature with more LEDs. Would love to hear everyone's thoughts!" Source:
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🚨More Dementors In Canada? Op States: "Time: September 21, 7:20pm Location: Waterloo, Ontario, Canada I was out on my balcony filming a storm and sent the video to my partner (who’s currently out of town). He noticed something odd that I completely missed. In the first two seconds, you can see a bug fly by the camera on the right. Nothing unusual there. But right after that, there’s a black object that moves across the top-centre of the screen. It has what looks like a tail and a metallic or shiny-looking top. It doesn’t look like a bird or balloon to me, but I’m open to ideas! I didn't see it until after I watched the video back, so unfortunately it's very short and not focused on the object. The lights in the background are an installation in the nearby park. It's a metallic tree with LED lights and a water feature with more LEDs. Would love to hear everyone's thoughts!" Source:

Skywatch Signal

101,553 Aufrufe • vor 10 Monaten

Character Consistency with Google Veo 3 now in Gemini API! 🤯 Use Images as starting frame to keep character consistency! Here is an python script on how to make consistent viral videos, like you see on TikTok or Youtube shorts: 1. Based on an idea, it generates a series of scene prompts using Gemini 2.5. 2. Generates a Image based on the first scene using Imagen 3 3. For each scene prompt Veo 3 (fast) generates a video clip. 4. Uses Gemini 2.0 image editing to make sure the starting images fits the scenes 5. Combine the individual video clips into a single final video using MoviePy Veo 3 starts at $0.75 / second and Veo 3 at $0.40 / second with audio. ! 📹 🔉 Prompt: “A realistic energy drink commercial for athletes.”
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Character Consistency with Google Veo 3 now in Gemini API! 🤯 Use Images as starting frame to keep character consistency! Here is an python script on how to make consistent viral videos, like you see on TikTok or Youtube shorts: 1. Based on an idea, it generates a series of scene prompts using Gemini 2.5. 2. Generates a Image based on the first scene using Imagen 3 3. For each scene prompt Veo 3 (fast) generates a video clip. 4. Uses Gemini 2.0 image editing to make sure the starting images fits the scenes 5. Combine the individual video clips into a single final video using MoviePy Veo 3 starts at $0.75 / second and Veo 3 at $0.40 / second with audio. ! 📹 🔉 Prompt: “A realistic energy drink commercial for athletes.”

Philipp Schmid

15,863 Aufrufe • vor 1 Jahr

If someone was the first to release a fake AI-generated video, had their watermark and name already embedded on it, and circulated it publicly at 7:33 AM before it spread elsewhere, then authorities have every reason to immediately invite and question that individual. He may possess critical information about: • who created the manipulated content, • where it originated from, • who coordinated its release, and • whether there was an intentional attempt to mislead the public or cause unrest. Digital misinformation is a serious issue. The first distributor of such content is often a key link in tracing the source and determining whether any laws were violated. Department of State Services (DSS) get to work now.
0:11

If someone was the first to release a fake AI-generated video, had their watermark and name already embedded on it, and circulated it publicly at 7:33 AM before it spread elsewhere, then authorities have every reason to immediately invite and question that individual. He may possess critical information about: • who created the manipulated content, • where it originated from, • who coordinated its release, and • whether there was an intentional attempt to mislead the public or cause unrest. Digital misinformation is a serious issue. The first distributor of such content is often a key link in tracing the source and determining whether any laws were violated. Department of State Services (DSS) get to work now.

EasYOfLagos ✨️

31,452 Aufrufe • vor 2 Monaten

🚨BREAKING: Google just merged Gemini and NotebookLM into one unified workspace and it changes everything about how you use AI for deep work. It's called Notebooks in Gemini and it's the personal knowledge base that power users have been begging for. You create a notebook for a project, drop in your files, PDFs, and documents, give Gemini custom instructions, and every chat you have stays organized in one place. No more hunting through old conversations. No more re-uploading the same files every session. The wildest part is the sync. Anything you add in Gemini automatically appears in NotebookLM. Anything you add in NotebookLM automatically appears in Gemini. One source of truth. Two powerful apps. Zero friction switching between them. So you can start a research notebook in Gemini, ask it questions all week, then flip to NotebookLM to generate a Cinematic Video Overview from the same material. Next morning, open Gemini and ask it to write a full report on exactly what you just watched. That workflow used to take three apps and a lot of copy-pasting. Now it's one notebook. Rolling out this week to Google AI Ultra, Pro, and Plus subscribers on web. Mobile and free users coming soon. What do you think?
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🚨BREAKING: Google just merged Gemini and NotebookLM into one unified workspace and it changes everything about how you use AI for deep work. It's called Notebooks in Gemini and it's the personal knowledge base that power users have been begging for. You create a notebook for a project, drop in your files, PDFs, and documents, give Gemini custom instructions, and every chat you have stays organized in one place. No more hunting through old conversations. No more re-uploading the same files every session. The wildest part is the sync. Anything you add in Gemini automatically appears in NotebookLM. Anything you add in NotebookLM automatically appears in Gemini. One source of truth. Two powerful apps. Zero friction switching between them. So you can start a research notebook in Gemini, ask it questions all week, then flip to NotebookLM to generate a Cinematic Video Overview from the same material. Next morning, open Gemini and ask it to write a full report on exactly what you just watched. That workflow used to take three apps and a lot of copy-pasting. Now it's one notebook. Rolling out this week to Google AI Ultra, Pro, and Plus subscribers on web. Mobile and free users coming soon. What do you think?

Mayank Vora

136,639 Aufrufe • vor 3 Monaten