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Today, we open-source PrunaVAED, a faster drop-in replacement decoder for video generation with LTX-2.3! - 𝗛𝗼𝘄 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗶𝘀 𝗶𝘁? ~1.7-2.1x faster decoder & ~50% lower peak VRAM - 𝗛𝗼𝘄 𝗴𝗼𝗼𝗱 𝗶𝘀 𝗶𝘁? Near-original visual quality & no changes to the latent encoding - 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸? We pruned,... show more

Pruna AI

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18,241 просмотров • 1 день назад •via X (Twitter)

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Introducing LTX-2: the most complete open-source AI creative engine. - Synchronized audio and video generation - Native 4K fidelity, up to 50 fps and 10 s+ sequences - API-first design for seamless integration into creative pipelines - Runs efficiently on consumer GPUs - Fully open and accessible, with weights releasing later this year

Introducing LTX-2: the most complete open-source AI creative engine. - Synchronized audio and video generation - Native 4K fidelity, up to 50 fps and 10 s+ sequences - API-first design for seamless integration into creative pipelines - Runs efficiently on consumer GPUs - Fully open and accessible, with weights releasing later this year

LTX

1,700,766 просмотров • 9 месяцев назад

We trained a new version of Gen-3 Alpha, Turbo, that can generate videos 7x faster than the original Gen-3 Alpha, while matching its performance on many use cases. We’ll be rolling out Turbo for Image to Video with significantly lower pricing over the coming days while also making it available to free users. Gen-3 Alpha Turbo redefines the efficiency frontier for high-fidelity video generation, unlocking many new possibilities of near real-time interactivity.

We trained a new version of Gen-3 Alpha, Turbo, that can generate videos 7x faster than the original Gen-3 Alpha, while matching its performance on many use cases. We’ll be rolling out Turbo for Image to Video with significantly lower pricing over the coming days while also making it available to free users. Gen-3 Alpha Turbo redefines the efficiency frontier for high-fidelity video generation, unlocking many new possibilities of near real-time interactivity.

Runway

179,415 просмотров • 2 лет назад

$P-Video-Replace is now the fastest model for top-quality character replacement in existing video. - $0.03/s at 720p and $0.06/s at 1080p — a small fraction of typical character-replacement / video-edit pricing (~$0.07–$0.35/s at 720p in our benchmarks) - 3.58 s generation time per second of output video at 720p — roughly ~10× faster than typical alternatives in the same benchmarks (~36–43 s per second of output) - Upload a source video, 1–4 reference character images, and an instruction prompt to swap the character in the source video while keeping the rest unchanged. Ideal for UGC ad variations, meme remixes, film recasting, gaming cinematics, and educational videos when you already have a winning take and need a new face, creator, or persona in the same shot. Try it in the playground: We're launching with 70% discounted usage which ends on 2026-06-08 00:00 CEST! Try it at any of our launch partners: Pruna AI, each::labs, inference.sh, Replicate, Runware, Scenario, Tellers, Together AI, WaveSpeedAI, Wiro Also available on the Pruna API: We'd love your feedback as you try it. 📚 Model docs & API examples: 📚 API quickstart: ⭐️ OSS: 🌐$

P-Video-Replace is now the fastest model for top-quality character replacement in existing video. - $0.03/s at 720p and $0.06/s at 1080p — a small fraction of typical character-replacement / video-edit pricing (~$0.07–$0.35/s at 720p in our benchmarks) - 3.58 s generation time per second of output video at 720p — roughly ~10× faster than typical alternatives in the same benchmarks (~36–43 s per second of output) - Upload a source video, 1–4 reference character images, and an instruction prompt to swap the character in the source video while keeping the rest unchanged. Ideal for UGC ad variations, meme remixes, film recasting, gaming cinematics, and educational videos when you already have a winning take and need a new face, creator, or persona in the same shot. Try it in the playground: We're launching with 70% discounted usage which ends on 2026-06-08 00:00 CEST! Try it at any of our launch partners: Pruna AI, each::labs, inference.sh, Replicate, Runware, Scenario, Tellers, Together AI, WaveSpeedAI, Wiro Also available on the Pruna API: We'd love your feedback as you try it. 📚 Model docs & API examples: 📚 API quickstart: ⭐️ OSS: 🌐

Pruna AI

19,829 просмотров • 1 месяц назад

We are excited to unveil HunyuanVideo 1.5, the strongest open-source video generation model. Built upon DiT architecture, it redefines the open-source SOTA for accessibility and performance.🚀🚀🚀 HunyuanVideo 1.5 delivers state-of-the-art visual quality and motion coherence while drastically lowering the entry barrier for developers and creators: ⚡️ Unmatched Accessibility: Ultra-light 8.3B parameters, deployable on consumer GPUs with only 14GB VRAM. 🖥️ HD Cinematic Quality: Natively generates 5–10 second 480p/720p HD videos, with super-resolution support for 1080p cinematic quality. By merging SOTA performance with high hardware efficiency, HunyuanVideo 1.5 sets the new technical baseline for the open-source community. 🌐Project Page: 🔗Github: 🤗Hugging Face： 📄Technical Report:

We are excited to unveil HunyuanVideo 1.5, the strongest open-source video generation model. Built upon DiT architecture, it redefines the open-source SOTA for accessibility and performance.🚀🚀🚀 HunyuanVideo 1.5 delivers state-of-the-art visual quality and motion coherence while drastically lowering the entry barrier for developers and creators: ⚡️ Unmatched Accessibility: Ultra-light 8.3B parameters, deployable on consumer GPUs with only 14GB VRAM. 🖥️ HD Cinematic Quality: Natively generates 5–10 second 480p/720p HD videos, with super-resolution support for 1080p cinematic quality. By merging SOTA performance with high hardware efficiency, HunyuanVideo 1.5 sets the new technical baseline for the open-source community. 🌐Project Page: 🔗Github: 🤗Hugging Face： 📄Technical Report:

Tencent Hy

128,008 просмотров • 8 месяцев назад

𝗖𝗵𝗶𝗻𝗮 𝗷𝘂𝘀𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝘁𝗵𝗲 #𝟭 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗺𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹. 𝗬𝗼𝘂'𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝗽𝗮𝘆𝗶𝗻𝗴 𝗳𝗼𝗿 𝗠𝗶𝗱𝗷𝗼𝘂𝗿𝗻𝗲𝘆. 𝗤𝘄𝗲𝗻 𝗜𝗺𝗮𝗴𝗲 𝟮.𝟱 𝗶𝘀 𝗳𝗿𝗲𝗲. 𝗔𝗻𝗱 𝗶𝘁 𝗿𝘂𝗻𝘀 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿. I tested it against ChatGPT and Gemini. Here's what happened: 1: Qwen generated images 3x faster 2: Zero limits on what you create 3: No cloud required 4: Beat paid models on editing tests 5: Runs locally with no monthly fees Open source means no restrictions. Less than 1% of creators know this exists. Save this video, you'll cancel your subscriptions. Want the SOP? DM me. 💬

𝗖𝗵𝗶𝗻𝗮 𝗷𝘂𝘀𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝘁𝗵𝗲 #𝟭 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗺𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹. 𝗬𝗼𝘂'𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝗽𝗮𝘆𝗶𝗻𝗴 𝗳𝗼𝗿 𝗠𝗶𝗱𝗷𝗼𝘂𝗿𝗻𝗲𝘆. 𝗤𝘄𝗲𝗻 𝗜𝗺𝗮𝗴𝗲 𝟮.𝟱 𝗶𝘀 𝗳𝗿𝗲𝗲. 𝗔𝗻𝗱 𝗶𝘁 𝗿𝘂𝗻𝘀 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿. I tested it against ChatGPT and Gemini. Here's what happened: 1: Qwen generated images 3x faster 2: Zero limits on what you create 3: No cloud required 4: Beat paid models on editing tests 5: Runs locally with no monthly fees Open source means no restrictions. Less than 1% of creators know this exists. Save this video, you'll cancel your subscriptions. Want the SOP? DM me. 💬

Julian Goldie SEO

52,969 просмотров • 6 месяцев назад

P-Video-Avatar is now the fastest model for top-quality and diverse avatar generation. - It costs 0.025$ per second of video, making it up 6× cheaper than similar avatar tools - It takes 1.83s generation time per second of video, making it up to 18x faster than similar avatar tools. - It offers full-body control, integrated audio support in 20+ languages, and is long-form video-ready for up to 3-minute consecutive clips. We are launching with free usage until Sunday 23:59 CET at Replicate, Wiro, inference.sh, Runware, Scenario And with general availability at: DeepInfra, each::labs Try it now: 📚 API & quickstart for Pruna API: ⭐️ Star our OSS: 🌐 Website:

Pruna AI

14,741 просмотров • 3 месяцев назад

Tencent presents GameGen-O Open-world Video Game Generation We introduce GameGen-O, the first diffusion transformer model tailored for the generation of open-world video games. This model facilitates high-quality, open-domain generation by simulating a wide array of game engine features, such as innovative characters, dynamic environments, complex actions, and diverse events. Additionally, it provides interactive controllability, thus allowing for the gameplay simulation. The development of GameGen-O involves a comprehensive data collection and processing effort from scratch. We collect and build the first Open-World Video Game Dataset (OGameData), amassed extensive data from over a hundred of next-generation open-world games, employing a proprietary data pipeline for efficient sorting, scoring, filtering, and decoupled captioning. This robust and extensive OGameData forms the foundation of our model's training process. GameGen-O undergoes a two-stage training process, consisting of foundation model pretraining and instruction tuning. In the first phase, the model is pre-trained on the OGameData via the text-to-video and video continuation, endowing GameGen-O with the capability for open-domain video game generation. In the second phase, the pre-trained model is frozen, and we fine-tuned using a trainable InstructNet, which enables the production of subsequent frames based on multimodal structural instructions. This whole training process imparts the model with the ability to generate and interactively control content. In summary, GameGen-O represents a notable initial step forward in the realm of open-world video game generation via generative models. It underscores the potential of generative models to serve as an alternative to rendering techniques, which can efficiently combine creative generation with interactive capabilities.

Tencent presents GameGen-O Open-world Video Game Generation We introduce GameGen-O, the first diffusion transformer model tailored for the generation of open-world video games. This model facilitates high-quality, open-domain generation by simulating a wide array of game engine features, such as innovative characters, dynamic environments, complex actions, and diverse events. Additionally, it provides interactive controllability, thus allowing for the gameplay simulation. The development of GameGen-O involves a comprehensive data collection and processing effort from scratch. We collect and build the first Open-World Video Game Dataset (OGameData), amassed extensive data from over a hundred of next-generation open-world games, employing a proprietary data pipeline for efficient sorting, scoring, filtering, and decoupled captioning. This robust and extensive OGameData forms the foundation of our model's training process. GameGen-O undergoes a two-stage training process, consisting of foundation model pretraining and instruction tuning. In the first phase, the model is pre-trained on the OGameData via the text-to-video and video continuation, endowing GameGen-O with the capability for open-domain video game generation. In the second phase, the pre-trained model is frozen, and we fine-tuned using a trainable InstructNet, which enables the production of subsequent frames based on multimodal structural instructions. This whole training process imparts the model with the ability to generate and interactively control content. In summary, GameGen-O represents a notable initial step forward in the realm of open-world video game generation via generative models. It underscores the potential of generative models to serve as an alternative to rendering techniques, which can efficiently combine creative generation with interactive capabilities.

AK

367,088 просмотров • 1 год назад

Here are 10 AI video editor GitHub repos worth bookmarking: 1. Shotcut Most actively maintained open source video editor in 2026. 14K stars. Cross-platform with AI-assisted features. Just shipped a new release April 30, 2026. 2. Kdenlive The closest open source alternative to Adobe Premiere Pro. Multi-track editing, proxy editing, VST audio, and customizable workspace. Best for professional workflows. 3. OpenShot The easiest entry point for beginners. Drag and drop, 400+ transitions, 3D titles, and AI-assisted trimming. 5,700 stars. 4. Blender Not just 3D. Blender's video sequence editor and compositing pipeline is used in professional film production. 18,300 stars. Unmatched for VFX. 5. Recordly Screen recorder with auto-zoom, cursor polish, webcam overlays, and styled frames built in. Built for demo videos and walkthroughs. 6. Wan2.1 Alibaba's open source text-to-video model. Cinema-grade 1080p generation. Apache 2.0. The gold standard for open source video generation in 2026. 7. HunyuanVideo Tencent's 13B parameter open source video model. 11.9K stars. Handles 720p and 1080p with high temporal coherence. 8. CogVideoX Apache 2.0 licensed. Loads natively via Hugging Face Diffusers. Strong prompt following and smooth frame transitions. Needs 16GB VRAM minimum. 12.5K stars. 9. Open-Sora Most starred open source video generation project at 24K stars. Full training pipeline for $200K. Production-level output quality. 10. Mochi 1 Focused entirely on motion quality. The most natural-looking physics of any open source video model. Water, fabric, and human gestures without AI jitter. Apache 2.0.

Here are 10 AI video editor GitHub repos worth bookmarking: 1. Shotcut Most actively maintained open source video editor in 2026. 14K stars. Cross-platform with AI-assisted features. Just shipped a new release April 30, 2026. 2. Kdenlive The closest open source alternative to Adobe Premiere Pro. Multi-track editing, proxy editing, VST audio, and customizable workspace. Best for professional workflows. 3. OpenShot The easiest entry point for beginners. Drag and drop, 400+ transitions, 3D titles, and AI-assisted trimming. 5,700 stars. 4. Blender Not just 3D. Blender's video sequence editor and compositing pipeline is used in professional film production. 18,300 stars. Unmatched for VFX. 5. Recordly Screen recorder with auto-zoom, cursor polish, webcam overlays, and styled frames built in. Built for demo videos and walkthroughs. 6. Wan2.1 Alibaba's open source text-to-video model. Cinema-grade 1080p generation. Apache 2.0. The gold standard for open source video generation in 2026. 7. HunyuanVideo Tencent's 13B parameter open source video model. 11.9K stars. Handles 720p and 1080p with high temporal coherence. 8. CogVideoX Apache 2.0 licensed. Loads natively via Hugging Face Diffusers. Strong prompt following and smooth frame transitions. Needs 16GB VRAM minimum. 12.5K stars. 9. Open-Sora Most starred open source video generation project at 24K stars. Full training pipeline for $200K. Production-level output quality. 10. Mochi 1 Focused entirely on motion quality. The most natural-looking physics of any open source video model. Water, fabric, and human gestures without AI jitter. Apache 2.0.

Kanika

17,726 просмотров • 1 месяц назад

$P-Video-Animate is now the fastest model for top-quality image-to-video motion transfer. - $0.03/s at 720p and $0.06/s at 1080p — a fraction of typical motion-transfer pricing (~$0.07–$0.35/s at 720p in our benchmarks) - 5.24 s generation time per second of output video at 720p — roughly 7× faster than typical motion-transfer alternatives in the same benchmarks - Upload one still plus a driver video to preserve motion, timing, camera movement, and scene structure, with optional source audio and clips up to ~2 minutes at 720p Ideal for UGC ads, gaming cinematics, film casting, and product demos when you already have a winning take and want a new hero still to follow it. Try it in the playground: We’re launching with 70% discounted usage for the coming two days with our launch partners. each::labs, Replicate, Runware, Scenario, WaveSpeedAI, Wiro, Tellers, Soon also on Together AI We’d love your feedback as you try it. 📚 Model docs & API examples: 📚 API quickstart: ⭐️ OSS: 🌐$

P-Video-Animate is now the fastest model for top-quality image-to-video motion transfer. - $0.03/s at 720p and $0.06/s at 1080p — a fraction of typical motion-transfer pricing (~$0.07–$0.35/s at 720p in our benchmarks) - 5.24 s generation time per second of output video at 720p — roughly 7× faster than typical motion-transfer alternatives in the same benchmarks - Upload one still plus a driver video to preserve motion, timing, camera movement, and scene structure, with optional source audio and clips up to ~2 minutes at 720p Ideal for UGC ads, gaming cinematics, film casting, and product demos when you already have a winning take and want a new hero still to follow it. Try it in the playground: We’re launching with 70% discounted usage for the coming two days with our launch partners. each::labs, Replicate, Runware, Scenario, WaveSpeedAI, Wiro, Tellers, Soon also on Together AI We’d love your feedback as you try it. 📚 Model docs & API examples: 📚 API quickstart: ⭐️ OSS: 🌐

Pruna AI

22,727 просмотров • 2 месяцев назад

Vercel AI Gateway now supports video generation. Grok Imagine Video & Image are 🆓 until tomorrow. We used v0 to create an open source Creative Studio powered by xAI Grok. Create images, videos, or make your own design tool! – it's quite fast. Some cool technical tidbits: ▪️ Vercel Workflows for reliable generation Video generation can take long. Users might restart their browsers or their wifi / LTE might drop. We smooth over that automatically. ▪️ Instant vector search Try searching the public generations. Now back to me. We used Mixedbread to index the content visually, so you can search 𝚋𝚕𝚊𝚌𝚔 𝚏𝚎𝚕𝚒𝚗𝚎 and get a cat (try it!) ▪️ Vercel AI Gateway All existing and future Grok models are accessible via our gateway without extra setup. When you deploy to Vercel, you get access to hundreds of models with a single account and unified billing It's obviously built with Next.js (RSC). Open it in v0 to make it your own! h/t Esteban Suárez for shipping this.

Vercel AI Gateway now supports video generation. Grok Imagine Video & Image are 🆓 until tomorrow. We used v0 to create an open source Creative Studio powered by xAI Grok. Create images, videos, or make your own design tool! – it's quite fast. Some cool technical tidbits: ▪️ Vercel Workflows for reliable generation Video generation can take long. Users might restart their browsers or their wifi / LTE might drop. We smooth over that automatically. ▪️ Instant vector search Try searching the public generations. Now back to me. We used Mixedbread to index the content visually, so you can search 𝚋𝚕𝚊𝚌𝚔 𝚏𝚎𝚕𝚒𝚗𝚎 and get a cat (try it!) ▪️ Vercel AI Gateway All existing and future Grok models are accessible via our gateway without extra setup. When you deploy to Vercel, you get access to hundreds of models with a single account and unified billing It's obviously built with Next.js (RSC). Open it in v0 to make it your own! h/t Esteban Suárez for shipping this.

Guillermo Rauch

15,873,900 просмотров • 5 месяцев назад

🚀 Excited to release LongLive 2.0! 🎬 An end-to-end infrastructure for long video generation, with FP4 and parallelism at the core of both training and inference. ⚡45.7 FPS generation speed on 5B model⚡ ✨ LongLive 2.0 supports real-video training, few-step distillation, multi-shot training/inference, sequence-parallel acceleration, NVFP4 KV cache, and async VAE decoding deployment. 🧩 To our knowledge, this is the first open-source 4-bit long video generation infra that covers both training and inference. 🙌 Welcome to check it out, try it, and share feedback! 🔗 Code: 📰 Paper: 🎥 Demo: #LongVideoGeneration #VideoGeneration #Realtime #AIInfra #EfficientAI #FP4 #Parallel #NVIDIA

🚀 Excited to release LongLive 2.0! 🎬 An end-to-end infrastructure for long video generation, with FP4 and parallelism at the core of both training and inference. ⚡45.7 FPS generation speed on 5B model⚡ ✨ LongLive 2.0 supports real-video training, few-step distillation, multi-shot training/inference, sequence-parallel acceleration, NVFP4 KV cache, and async VAE decoding deployment. 🧩 To our knowledge, this is the first open-source 4-bit long video generation infra that covers both training and inference. 🙌 Welcome to check it out, try it, and share feedback! 🔗 Code: 📰 Paper: 🎥 Demo: #LongVideoGeneration #VideoGeneration #Realtime #AIInfra #EfficientAI #FP4 #Parallel #NVIDIA

Yukang Chen

59,030 просмотров • 2 месяцев назад

𝗗𝗮𝘆𝘀, 𝗻𝗼𝘁 𝗺𝗼𝗻𝘁𝗵𝘀. 𝗧𝗵𝗮𝘁'𝘀 𝗵𝗼𝘄 𝗹𝗼𝗻𝗴 𝗶𝘁 𝘁𝗮𝗸𝗲𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗻𝗲𝘄 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗼𝗻 𝗡𝗲𝘂𝗿𝗮𝗰𝗼𝗿𝗲. Get started with our Meta Quest teleop, open source on GitHub, and start collecting data on day one. Neuracore is hardware agnostic by design. OpenArm is the latest addition to our growing list of supported platforms, and like every embodiment we integrate, the code is open for the community to pick up and build on. The OpenArm repository is landing in the next couple of weeks. With Neuracore, teams can skip the integration slog and get straight to the interesting part: collecting data, training policies, and deploying to the real world. Get started for free today: Access our Github here:

𝗗𝗮𝘆𝘀, 𝗻𝗼𝘁 𝗺𝗼𝗻𝘁𝗵𝘀. 𝗧𝗵𝗮𝘁'𝘀 𝗵𝗼𝘄 𝗹𝗼𝗻𝗴 𝗶𝘁 𝘁𝗮𝗸𝗲𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗻𝗲𝘄 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗼𝗻 𝗡𝗲𝘂𝗿𝗮𝗰𝗼𝗿𝗲. Get started with our Meta Quest teleop, open source on GitHub, and start collecting data on day one. Neuracore is hardware agnostic by design. OpenArm is the latest addition to our growing list of supported platforms, and like every embodiment we integrate, the code is open for the community to pick up and build on. The OpenArm repository is landing in the next couple of weeks. With Neuracore, teams can skip the integration slog and get straight to the interesting part: collecting data, training policies, and deploying to the real world. Get started for free today: Access our Github here:

Neuracore

62,816 просмотров • 3 месяцев назад

Turn one product photo into a finished video ad. Storyboard to video with sound in minutes - inside a chat. Drop in a product photo and one sentence. Minutes later: a 9-frame storyboard, then a finished video ad with sound, ready to run. Powered by GPT Image 2 → Seedance 2.0 - one of the strongest storyboard-to-video pairings available right now, both in one chat at Why it's different: → No subscription. Most Seedance providers lock you into a monthly plan whether you make one clip or a hundred. Sogni charges per generation on a people-powered consumer GPU network. → Agent-native. Run the whole pipeline from Claude, Codex, or Hermes - "turn this into a 9-shot storyboard video" straight from your terminal. → Right model for the job. Frontier models when you need them, open-source models like LTX 2.3 when you don't. One photo. One sentence. One finished ad. Your move ↓

Turn one product photo into a finished video ad. Storyboard to video with sound in minutes - inside a chat. Drop in a product photo and one sentence. Minutes later: a 9-frame storyboard, then a finished video ad with sound, ready to run. Powered by GPT Image 2 → Seedance 2.0 - one of the strongest storyboard-to-video pairings available right now, both in one chat at Why it's different: → No subscription. Most Seedance providers lock you into a monthly plan whether you make one clip or a hundred. Sogni charges per generation on a people-powered consumer GPU network. → Agent-native. Run the whole pipeline from Claude, Codex, or Hermes - "turn this into a 9-shot storyboard video" straight from your terminal. → Right model for the job. Frontier models when you need them, open-source models like LTX 2.3 when you don't. One photo. One sentence. One finished ad. Your move ↓

Sogni.ai

1,089,334 просмотров • 1 месяц назад

Today we're launching iMessage video ads in Claude. Faceless video is the best-performing ad format right now — and Claude can now generate a full one end to end, in one prompt. Here's how it works: 1. Install: npx gooseworks install --all 2. Run: /goose-video make an iMessage ad for [your product] Claude writes the script, generates the photos in the thread, animates the conversation, and closes on your brand. SFX, music, end card, all of it. The trick: it's just HTML. No video generation models, so it's fast and cheap — and it works because it doesn't look like an ad. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

Soham Mehta

49,148 просмотров • 22 дней назад

Today we're announcing the open-source release of HunyuanVideo-Foley, our new end-to-end Text-Video-to-Audio (TV2A) framework for generating high-fidelity audio.🚀 This tool empowers creators in video production, filmmaking, and game development to generate professional-grade audio that precisely aligns with visual dynamics and semantic context, addressing key challenges in V2A generation.🔊 Key Innovations: 🔹Exceptional Generalization: Trained on a massive 100k-hour multimodal dataset, the model generates contextually-aware soundscapes for a wide range of scenes, from natural landscapes to animated shorts. 🔹Balanced Multimodal Response: Our innovative multimodal diffusion transformer (MMDiT) architecture ensures the model balances video and text cues, generating rich, layered sound effects that capture every detail—from the main subject to subtle background elements. 🔹High-Fidelity Audio: Using a Representation Alignment (REPA) loss function and a powerful Audio VAE, we've improved generation stability and producing professional-grade audio, free of noise and inconsistencies. HunyuanVideo-Foley achieves SOTA on multiple benchmarks, surpassing all open-source models in audio quality, visual-semantic alignment, and temporal alignment. 👉Try it now: 🌐Project Page: 🔗Code: 📄Technical Report: 🤗Hugging Face:

Today we're announcing the open-source release of HunyuanVideo-Foley, our new end-to-end Text-Video-to-Audio (TV2A) framework for generating high-fidelity audio.🚀 This tool empowers creators in video production, filmmaking, and game development to generate professional-grade audio that precisely aligns with visual dynamics and semantic context, addressing key challenges in V2A generation.🔊 Key Innovations: 🔹Exceptional Generalization: Trained on a massive 100k-hour multimodal dataset, the model generates contextually-aware soundscapes for a wide range of scenes, from natural landscapes to animated shorts. 🔹Balanced Multimodal Response: Our innovative multimodal diffusion transformer (MMDiT) architecture ensures the model balances video and text cues, generating rich, layered sound effects that capture every detail—from the main subject to subtle background elements. 🔹High-Fidelity Audio: Using a Representation Alignment (REPA) loss function and a powerful Audio VAE, we've improved generation stability and producing professional-grade audio, free of noise and inconsistencies. HunyuanVideo-Foley achieves SOTA on multiple benchmarks, surpassing all open-source models in audio quality, visual-semantic alignment, and temporal alignment. 👉Try it now: 🌐Project Page: 🔗Code: 📄Technical Report: 🤗Hugging Face:

Tencent Hy

122,706 просмотров • 11 месяцев назад

ELON: TO WIN IN TECH, JUST MOVE FAST “We are starting late with xAI, and we're only two and a half years old, basically. We're starting from behind. We are somewhat of an underdog, but we're pretty good with technology. I don't want to pat myself on the back here, but I'm pretty good with technology. We are advancing faster than any other AI. For technology ventures, the winner ultimately is the one that is able to move the fastest.” Source: Elon Musk, Barron Investment Conference, November 14, 2025

ELON: TO WIN IN TECH, JUST MOVE FAST “We are starting late with xAI, and we're only two and a half years old, basically. We're starting from behind. We are somewhat of an underdog, but we're pretty good with technology. I don't want to pat myself on the back here, but I'm pretty good with technology. We are advancing faster than any other AI. For technology ventures, the winner ultimately is the one that is able to move the fastest.” Source: Elon Musk, Barron Investment Conference, November 14, 2025

Mario Nawfal

117,703 просмотров • 8 месяцев назад

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

Tencent HY

191,908 просмотров • 1 год назад

From 3,000+ configs to Infinity! We are very excited to announce Orbital Labs! 10+ exciting new shapes to print and try! Open source templates to tweak and create your own shape in under 3 minutes! Orbital Labs is the first step in realizing the true potential of Pathfinder, where no amount of fine-tuning is too small, and no imagination too big, to craft your personalized, perfect shape. We can't wait to see what you will create! The 3D files are here. Video guide is here. Orbital Labs. For folks without a 3D-printer, we will open our pro-print services in August Let’s explore the next frontiers of gaming mice...together!

From 3,000+ configs to Infinity! We are very excited to announce Orbital Labs! 10+ exciting new shapes to print and try! Open source templates to tweak and create your own shape in under 3 minutes! Orbital Labs is the first step in realizing the true potential of Pathfinder, where no amount of fine-tuning is too small, and no imagination too big, to craft your personalized, perfect shape. We can't wait to see what you will create! The 3D files are here. Video guide is here. Orbital Labs. For folks without a 3D-printer, we will open our pro-print services in August Let’s explore the next frontiers of gaming mice...together!

Orbital

11,618 просмотров • 1 год назад

I'm thrilled to announce the launch of ⚡️Flash Diffusion from Jasper! Earlier this year, with our acquisition of Clipdrop, we launched the Jasper AI Research Lab in Paris. Today, we are excited to release our first piece of groundbreaking research: the open-source distillation method, "Flash Diffusion". Flash Diffusion accelerates inference by 500%, reduces computing costs, and produces higher-quality image outputs. Dive into the details and discover how Flash Diffusion is set to revolutionize the field of AI and image synthesis. Read all about it here: Try a demo on Hugging Face:

I'm thrilled to announce the launch of ⚡️Flash Diffusion from Jasper! Earlier this year, with our acquisition of Clipdrop, we launched the Jasper AI Research Lab in Paris. Today, we are excited to release our first piece of groundbreaking research: the open-source distillation method, "Flash Diffusion". Flash Diffusion accelerates inference by 500%, reduces computing costs, and produces higher-quality image outputs. Dive into the details and discover how Flash Diffusion is set to revolutionize the field of AI and image synthesis. Read all about it here: Try a demo on Hugging Face:

Timothy Young

10,093 просмотров • 2 лет назад

New Model From Rhymes! ✨ We're thrilled to announce, Allegro — a small and efficient open-source text-to-video model that transforms your text into stunning 6-second videos at 15 FPS and 720p! 🚀 🩷 Explore Allegro - Gallery: - Hugging Face: - GitHub: - Blog: - Report: - License: Apache 2.0 📽️ Try Allegro Want to be the first to try Allegro directly on Discord? Join the waitlist and get ready to explore! We can't wait to see the amazing creations you'll make with Allegro! #AIVideo #TextToVideo #Allegro

New Model From Rhymes! ✨ We're thrilled to announce, Allegro — a small and efficient open-source text-to-video model that transforms your text into stunning 6-second videos at 15 FPS and 720p! 🚀 🩷 Explore Allegro - Gallery: - Hugging Face: - GitHub: - Blog: - Report: - License: Apache 2.0 📽️ Try Allegro Want to be the first to try Allegro directly on Discord? Join the waitlist and get ready to explore! We can't wait to see the amazing creations you'll make with Allegro! #AIVideo #TextToVideo #Allegro

Rhymes.AI

22,209 просмотров • 1 год назад