Загрузка видео...

Не удалось загрузить видео

На главную

🚀Introducing Wan2.2-S2V — a 14B parameter model designed for film-grade, audio-driven human animation. 🎬Going beyond basic talking heads to deliver professional-level quality for film, TV, and digital content. And it’s open-source! ✨ Key features: 🔹 Long-video dynamic consistency 🔹 Cinema-quality audio-to-video generation 🔹 Advanced motion and environment control via...

128,597 просмотров • 1 год назад •via X (Twitter)

Комментарии: 31

Фото профиля Mike
Mike1 год назад

15 second limit? That’s crazy. Can’t wait to give it a whirl.

Фото профиля Emily
Emily1 год назад

Good progress, thank you. Next, please, it is time to scale the model 😭😭😭

Фото профиля Lincoln 🇿🇦
Lincoln 🇿🇦1 год назад

Well Done

Фото профиля rob - comfyui
rob - comfyui1 год назад

Curious how this compares to generations with fantasyportrait+multitalk

Фото профиля prince tarlue
prince tarlue1 год назад

Did I hear rick?

Фото профиля 無限 💀 acc/acc
無限 💀 acc/acc1 год назад

Freaking awesome :) Will dig in soon.

Фото профиля Rijn
Rijn1 год назад

A step in the right direction but seems off with the audio

Фото профиля Alex Veremeyenko
Alex Veremeyenko1 год назад

this is a game changer, excited to see how it elevates storytelling in media. can't wait to test it out

Фото профиля The90sPope
The90sPope1 год назад

This is great, WAN team is not joking around

Фото профиля Hyperstack
Hyperstack1 год назад

Massive news for creators everywhere 👏

Фото профиля Tomasz Proshowski
Tomasz Proshowski1 год назад

Congratulations 👏👏👏👏 you've been doing a extraordinary marvelous job Thank you

Фото профиля Peter Hacks
Peter Hacks1 год назад

amazing Wan2.2 S2V🥳

Фото профиля sandrom
sandrom1 год назад

@higgsfield_ai can you add s2v? ☺️

Фото профиля 〽️ClementeEstropajo
〽️ClementeEstropajo1 год назад

Chinese aren't playing, thanks!!

Фото профиля 𝐙𝐞𝐧𝐠 💜
𝐙𝐞𝐧𝐠 💜1 год назад

Amazing feature!!

Фото профиля David Emechete
David Emechete1 год назад

Can you do a fight choreography AI model? It would be really great for creating action scenes

Фото профиля Chath Kay
Chath Kay1 год назад

Omfg

Фото профиля Alkebulan Angel
Alkebulan Angel1 год назад

Wow it's here

Фото профиля Rishav Dash
Rishav Dash1 год назад

@wasim_madha

Фото профиля Mr. Ånand
Mr. Ånand1 год назад

Wohoo! Awesome

Фото профиля R. Dumas
R. Dumas1 год назад

Motion control avancé et consistance longue durée, c’est l’équivalent IA du passage du N&B à la couleur au cinéma ! Curieux de voir comment nos villes et contenus vont se réinventer avec ces outils.

Фото профиля Mykhailo Sorochuk
Mykhailo Sorochuk1 год назад

Can't wait to see what creators do with this. Looks like a true game changer for immersive storytelling!

Фото профиля Dave more
Dave more1 год назад

We love china

Фото профиля Nikhil
Nikhil1 год назад

Wow... This just defined the future of content generation.

Фото профиля MetaDJ
MetaDJ1 год назад

Amazing ✨

Фото профиля AK
AK1 год назад

Does it work with music?

Фото профиля Naidu A S
Naidu A S1 год назад

This is going to be great

Фото профиля RobbyGTV
RobbyGTV1 год назад

@AskVenice

Фото профиля Dheepan Ratnam
Dheepan Ratnam1 год назад

wow excellent new tool to play with

Фото профиля Arindam Majumder 𝕏
Arindam Majumder 𝕏1 год назад

Woah! Amazing🤩🤩

Фото профиля Nora Smith
Nora Smith1 год назад

🌇

Похожие видео

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 • 5 месяцев назад

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

Tencent Hy

89,430 просмотров • 1 год назад