Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

🚀 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 #TencentHunyuanshow more

Tencent HY

34,788 subscribers

191,908 Aufrufe • vor 1 Jahr •via X (Twitter)

Kunst Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

10 Kommentare

Profilbild von Hunyuan

Hunyuanvor 1 Jahr

Hugging Face

Profilbild von Gold D.

Gold D.vor 1 Jahr

I wonder if one day we'll see Hunyuan 3D 2.5 open source? If so, when?

Profilbild von Emily

Emilyvor 1 Jahr

Congratulations on this achievement, and thank you for pushing open source forward. 🙏❤️

Profilbild von Aaliya

Aaliyavor 1 Jahr

This is seriously impressive! 🔥 Love the flexibility with multimodal inputs and the subject consistency

Profilbild von Sentient Matrix

Sentient Matrixvor 1 Jahr

😀 Looks highly promising! How much VRAM needed? Seems like it might run locally if based on 13B?

Profilbild von rey

reyvor 1 Jahr

@grok is this model uncensored or...?

Profilbild von Amit

Amitvor 1 Jahr

Insane progress in video generation, will give it a try for sure.

Profilbild von Dhaval Makwana

Dhaval Makwanavor 1 Jahr

This is cool! Let’s connect @TencentHunyuan

Profilbild von Sayak Paul

Sayak Paulvor 1 Jahr

@aryanvs_ @_DhruvNair_

Profilbild von Amira Zairi

Amira Zairivor 1 Jahr

Congrats Hunyuan team 🎉

Ähnliche Videos

🚀 Introducing HunyuanVideo-Avatar, a model jointly developed by Tencent Hunyuan and Tencent Music, bringing photos to life. ✅ Upload a photo + audio — auto-detect scene context & emotion, then generate lifelike speech/singing with dynamic visuals. ✅ Supports multi-style, multi-species scenarios and excels in multi-character interactions. ✅ Built for short video creation, e-commerce, advertising, and more — already deployed in multiple apps across Tencent Music Entertainment Group. The single-character mode of HunyuanVideo-Avatar is now open-sourced and live on the Hunyuan website, supporting audio up to 14 seconds for video generation. The multi-character mode will be open-sourced soon. Try it on: Project Page: Github: Tech report: #Tencent #Hunyuan

Tencent Hy

218,352 Aufrufe • vor 1 Jahr

Meet LongCat-Video-Avatar: a robust audio-driven avatar model that pushes the boundaries of long-form video generation. Compared with the previous InfiniteTalk, LongCat-Video-Avatar delivers far better long-sequence stability and realism. New highlights： ⚙ Built on the LongCat-Video architecture, now supporting Audio-Text-to-Video (AT2V), Audio-Text-Image-to-Video (ATI2V), and Video Continuation modes. 🎭 Open-source SOTA Realism: Ranked 1st in overall anthropomorphism scores for both single and multi-subject scenarios in EvalTalker evaluations (492 participants, 3 independent raters per video). ♾ High-quality long videos: Cross-Chunk Latent Stitching prevents pixel degradation and error accumulation over time, ensuring seamless stitching quality. 🔒 Long-term consistency: Reference Skip Attention maintains ID consistency while eliminating rigid copy-paste artifacts. 🪄 Supports multi-person and infinite-length video generation. 🔗Open-sourced Code: Hugging Face: Project: Paper:

Meituan LongCat

28,020 Aufrufe • vor 6 Monaten

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

122,539 Aufrufe • vor 9 Monaten

New model from Meituan LongCat 🚀 LongCat-Video-Avatar🔥 Audio driven character animation with text, image, and video inputs, all in one! ✨ MIT license ✨ Audio > talking video (single & multi-person) ✨ Natural motion and lip sync ✨ Fewer repeats, stable identity ✨ Available on Hugging Face

Adina Yakup

13,881 Aufrufe • vor 6 Monaten

ByteDance just unveiled HuMo, a unified framework for human-centric video generation. With HuMo you can: • Generate videos from text + image • Create audio-synced videos from text + audio • Combine text, image, and audio for maximum control • Preserve consistent subjects across frames • Achieve natural audio-visual synchronization This isn’t just another release , it’s a big step toward fully controllable, coherent, and cinematic AI video.

ByteDance just unveiled HuMo, a unified framework for human-centric video generation. With HuMo you can: • Generate videos from text + image • Create audio-synced videos from text + audio • Combine text, image, and audio for maximum control • Preserve consistent subjects across frames • Achieve natural audio-visual synchronization This isn’t just another release , it’s a big step toward fully controllable, coherent, and cinematic AI video.

DStudioproject

29,408 Aufrufe • vor 9 Monaten

LTX-2 is natively supported in ComfyUI on Day 0 🎬🔊 The next chapter in controllability for open-source video generation. - Open-source audio-video foundation model - Generates motion, dialogue, SFX, and music together - Canny, Depth & Pose video-to-video control - Keyframe-driven generation - Native upscaling and prompt enhancement Everything in a single pass.

LTX-2 is natively supported in ComfyUI on Day 0 🎬🔊 The next chapter in controllability for open-source video generation. - Open-source audio-video foundation model - Generates motion, dialogue, SFX, and music together - Canny, Depth & Pose video-to-video control - Keyframe-driven generation - Native upscaling and prompt enhancement Everything in a single pass.

ComfyUI

108,130 Aufrufe • vor 5 Monaten

Build an open-source AI video studio with this Next.js template using Veo 3 and Imagen 4 in the Gemini API. Create text-to-video, image-to-video, and edit videos in the browser for a specific time range.

Build an open-source AI video studio with this Next.js template using Veo 3 and Imagen 4 in the Gemini API. Create text-to-video, image-to-video, and edit videos in the browser for a specific time range.

Google AI Developers

41,423 Aufrufe • vor 10 Monaten

This character didn't break once across 5 shots, 3 camera angles, and a voice swap. Wan 2.7 is live on OpenArt. Here's what changed: Multimodal control. Text, image, audio, video, all in one generation call. Up to 5 reference inputs plus voice profiles for character locking. Edit existing videos with a sentence. Full creative stack: generate, edit, clone, restyle, extend. The open-source video model that actually acts like a production toolkit.

This character didn't break once across 5 shots, 3 camera angles, and a voice swap. Wan 2.7 is live on OpenArt. Here's what changed: Multimodal control. Text, image, audio, video, all in one generation call. Up to 5 reference inputs plus voice profiles for character locking. Edit existing videos with a sentence. Full creative stack: generate, edit, clone, restyle, extend. The open-source video model that actually acts like a production toolkit.

OpenArt

2,071,522 Aufrufe • vor 2 Monaten

The first truly open-source audio-video model. LTX-2 is a DiT-based foundation model with all core video generation capabilities in one unified model. Designed to run locally on consumer GPUs. - text-to-video - image-to-video - and video-to-video modes 100% open-source.

The first truly open-source audio-video model. LTX-2 is a DiT-based foundation model with all core video generation capabilities in one unified model. Designed to run locally on consumer GPUs. - text-to-video - image-to-video - and video-to-video modes 100% open-source.

Akshay 🚀

66,012 Aufrufe • vor 5 Monaten

Experimenting with the magic of open-source! Whisper for text translation, XTTS for audio, and Video-retalker for seamless mouth sync in a short video Its not perfect, but I think we're close with open source #buildinpublic #opensource

Experimenting with the magic of open-source! Whisper for text translation, XTTS for audio, and Video-retalker for seamless mouth sync in a short video Its not perfect, but I think we're close with open source #buildinpublic #opensource

Luis Catacora

80,941 Aufrufe • vor 2 Jahren

🚀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 instruction Perfect for filmmakers, content creators, and developers crafting immersive AI-powered stories. Try it now : Github: Project: Hugging Face Demo: Modelscope Demo: Hugging Face Weights: ModelScope Weights:

🚀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 instruction Perfect for filmmakers, content creators, and developers crafting immersive AI-powered stories. Try it now : Github: Project: Hugging Face Demo: Modelscope Demo: Hugging Face Weights: ModelScope Weights:

Wan

128,320 Aufrufe • vor 9 Monaten

Grok Imagine API now supports built-in video editing on top of powerful video generation You can feed in your own videos and edit them directly with Grok Imagine, transforming or enhancing footage without traditional timeline editing Developers can generate high-quality videos at scale with fast iteration and simple integration into existing workflows One API does it all: • Text-to-video • Image-to-video • Edit existing videos directly • Replace, remove, or add objects inside a video • Built-in audio sync for every clip Turn your ideas into finished videos – at scale, through a single API

Grok Imagine API now supports built-in video editing on top of powerful video generation You can feed in your own videos and edit them directly with Grok Imagine, transforming or enhancing footage without traditional timeline editing Developers can generate high-quality videos at scale with fast iteration and simple integration into existing workflows One API does it all: • Text-to-video • Image-to-video • Edit existing videos directly • Replace, remove, or add objects inside a video • Built-in audio sync for every clip Turn your ideas into finished videos – at scale, through a single API

X Freeze

19,054 Aufrufe • vor 4 Monaten

🎥 Introducing Hailuo's Subject Reference: Revolutionizing Character Consistency in Video Creation 🔥 We’re excited to present Hailuo's S2V-01 model, a groundbreaking innovation in AI video generation that tackles one of the industry’s biggest challenges: maintaining consistent, realistic facial features and identity across dynamic video content, regardless of camera angles or movements. 💡 Why It’s a Game Changer: - Pioneering Technology: The first-of-its-kind to ensure character consistency in dynamic video generation, surpassing even fine-tuned models in performance. - Minimal Input, Maximum Impact: Generate character-consistent videos from just one reference image. Every frame remains true to the original identity with unmatched accuracy and reliability. - Enhanced Flexibility: Adjust more than just facial features—modify posture, expressions, lighting, and more, all with simple text-based prompts. 🌟While the new model enhances subject consistency, it may occasionally follow prompts less precisely than T2V or I2V, with some environmental morphing. Despite these early-stage challenges, Hailuo Subject Reference marks a significant leap in AI video generation. We’re committed to continual improvements including multi-subject references, objects references, and complex, multi-layered scenes. Explore the future of creative, consistent video production with Hailuo S2V-01 today. 🔥We believe the possibilities are endless.

🎥 Introducing Hailuo's Subject Reference: Revolutionizing Character Consistency in Video Creation 🔥 We’re excited to present Hailuo's S2V-01 model, a groundbreaking innovation in AI video generation that tackles one of the industry’s biggest challenges: maintaining consistent, realistic facial features and identity across dynamic video content, regardless of camera angles or movements. 💡 Why It’s a Game Changer: - Pioneering Technology: The first-of-its-kind to ensure character consistency in dynamic video generation, surpassing even fine-tuned models in performance. - Minimal Input, Maximum Impact: Generate character-consistent videos from just one reference image. Every frame remains true to the original identity with unmatched accuracy and reliability. - Enhanced Flexibility: Adjust more than just facial features—modify posture, expressions, lighting, and more, all with simple text-based prompts. 🌟While the new model enhances subject consistency, it may occasionally follow prompts less precisely than T2V or I2V, with some environmental morphing. Despite these early-stage challenges, Hailuo Subject Reference marks a significant leap in AI video generation. We’re committed to continual improvements including multi-subject references, objects references, and complex, multi-layered scenes. Explore the future of creative, consistent video production with Hailuo S2V-01 today. 🔥We believe the possibilities are endless.

Hailuo AI (MiniMax)

692,382 Aufrufe • vor 1 Jahr

Google announces Dreamix: a model that generates videos when given: - video + prompt (Video editing) - input images + prompt (Subject Driven Generation) - input image + prompt (Image-toVideo

Google announces Dreamix: a model that generates videos when given: - video + prompt (Video editing) - input images + prompt (Subject Driven Generation) - input image + prompt (Image-toVideo

bleedingedge.ai

1,323,774 Aufrufe • vor 3 Jahren

🚀Unlock endless creativity with Hailuo AI's Image-to-Video! 🎥 - Subject Integration: Seamlessly blend your subjects into any scene with flawless lighting and tones. - Photo Effects: Turn photos into dynamic visuals with simple prompts. Solo or group! - Hollywood Effects: Create cinematic magic with no templates. ✨ Turn your images into stunning videos with ease!

🚀Unlock endless creativity with Hailuo AI's Image-to-Video! 🎥 - Subject Integration: Seamlessly blend your subjects into any scene with flawless lighting and tones. - Photo Effects: Turn photos into dynamic visuals with simple prompts. Solo or group! - Hollywood Effects: Create cinematic magic with no templates. ✨ Turn your images into stunning videos with ease!

Hailuo AI (MiniMax)

71,438 Aufrufe • vor 1 Jahr

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.

Wan

52,088 Aufrufe • vor 8 Monaten

This Grok Project will take any image and transform it into a prompt with details, such as lighting, style, and subject matter. You can then use the prompt in Grok Imagine for images and videos. Click the video, and it will take you to the Grok Project.

This Grok Project will take any image and transform it into a prompt with details, such as lighting, style, and subject matter. You can then use the prompt in Grok Imagine for images and videos. Click the video, and it will take you to the Grok Project.

tetsuo

51,879 Aufrufe • vor 7 Monaten

Elements for Image to Video generation gets a major upgrade — big improvements in subject consistency, dynamics, prompt adherence, and visual rendering quality! Time to build your scene with Elements!

Elements for Image to Video generation gets a major upgrade — big improvements in subject consistency, dynamics, prompt adherence, and visual rendering quality! Time to build your scene with Elements!

Kling AI

2,542,769 Aufrufe • vor 11 Monaten

Wan2.6：Multi-shot Storytelling & Cinematic Shot Control ✨ Intelligent Storyboarding: Generate coherent videos with multiple shots from a single prompt. 🎬 Cross-Shot Consistency: Maintains a consistent main subject and scene across different shots. 🔊 Synchronized Audio: Generates video and synchronized sound simultaneously for a complete experience. ⏱️ Up to 15s Duration: Create longer videos, allowing for more dynamic shots and richer expression. Try Wan2.6 now at

Wan2.6：Multi-shot Storytelling & Cinematic Shot Control ✨ Intelligent Storyboarding: Generate coherent videos with multiple shots from a single prompt. 🎬 Cross-Shot Consistency: Maintains a consistent main subject and scene across different shots. 🔊 Synchronized Audio: Generates video and synchronized sound simultaneously for a complete experience. ⏱️ Up to 15s Duration: Create longer videos, allowing for more dynamic shots and richer expression. Try Wan2.6 now at

Wan

17,757 Aufrufe • vor 6 Monaten