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LTX-2.3 by LTX is here → Crisper fidelity & on-screen text → Complex multi-subject prompts that stick → Start + end frame I2V with smooth motion → Cleaner audio + native portrait + 24/48 fps

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23,669 просмотров • 4 месяцев назад •via X (Twitter)

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LTX-2.3 is here. For decades, creative software has been defined by its interface. We think the next era gets defined by the engine underneath. LTX-2.3 is a major engine upgrade: → Sharper detail → Stronger motion → Cleaner audio → Native vertical format
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LTX-2.3 is here. For decades, creative software has been defined by its interface. We think the next era gets defined by the engine underneath. LTX-2.3 is a major engine upgrade: → Sharper detail → Stronger motion → Cleaner audio → Native vertical format

LTX

2,562,736 просмотров • 4 месяцев назад

🚨 LTX 2.3 Quality is now live on fal! 🎬 New Higher Quality LTX 2.3 video generation ⚡ Text, image, audio & reference-video workflows 🎛️ LoRA variants for every endpoint 🌈 HDR with EXR frames + MP4 preview
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🚨 LTX 2.3 Quality is now live on fal! 🎬 New Higher Quality LTX 2.3 video generation ⚡ Text, image, audio & reference-video workflows 🎛️ LoRA variants for every endpoint 🌈 HDR with EXR frames + MP4 preview

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P-video by Pruna AI is here. 10¢ for 10 second video, done in < 10 seconds, with native audio. The video below was made using P-video. And it's free for the first 24 hours!
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P-video by Pruna AI is here. 10¢ for 10 second video, done in < 10 seconds, with native audio. The video below was made using P-video. And it's free for the first 24 hours!

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Just tested Kling AI 2.5 Turbo with Start–End Frame, and the improvement is real, higher fidelity, cleaner consistency from start to finish, and motion that feels more controlled and cinematic. Definitely a solid step forward for AI video. For filmmakers, this update pushes the workflow closer to real production. Base image Freepik (now Magnific)
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Just tested Kling AI 2.5 Turbo with Start–End Frame, and the improvement is real, higher fidelity, cleaner consistency from start to finish, and motion that feels more controlled and cinematic. Definitely a solid step forward for AI video. For filmmakers, this update pushes the workflow closer to real production. Base image Freepik (now Magnific)

Dinda Prasetyo

26,526 просмотров • 8 месяцев назад

Kling 3.0 is here... and wow 🔥 I was lucky enough to have early access. - Character & element consistency - 3-15 second generations with precise control - 1080p video output - Multi-shot & Custom Multi-Shot sequences - Native audio - dialogue & singing with multi-character support - Voice tones: multiple dialects, accents & languages - 4K image generation with new image series mode - Start & end frame control Ultra subscribers have early access now Kling AI See my first tests here:
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Kling 3.0 is here... and wow 🔥 I was lucky enough to have early access. - Character & element consistency - 3-15 second generations with precise control - 1080p video output - Multi-shot & Custom Multi-Shot sequences - Native audio - dialogue & singing with multi-character support - Voice tones: multiple dialects, accents & languages - 4K image generation with new image series mode - Start & end frame control Ultra subscribers have early access now Kling AI See my first tests here:

Heather Cooper

14,162 просмотров • 5 месяцев назад

Seedance 2.0 is impressive. But it's closed-source! Introducing our daVinci-MagiHuman — a single-stream 15B Transformer trained from scratch that jointly generates video + audio. No cross-attention. No multi-stream branches. Just self-attention. ⚡ 5s 1080p video in 38s on a single H100 🏆 80% win rate vs Ovi 1.1 | 60.9% vs LTX 2.3 (2,000 human comparisons) 🌍 6 languages 📦 Fully open-source Speed by simplicity. By @SII_GAIR × Sand.ai 📄 💻 🤗
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Seedance 2.0 is impressive. But it's closed-source! Introducing our daVinci-MagiHuman — a single-stream 15B Transformer trained from scratch that jointly generates video + audio. No cross-attention. No multi-stream branches. Just self-attention. ⚡ 5s 1080p video in 38s on a single H100 🏆 80% win rate vs Ovi 1.1 | 60.9% vs LTX 2.3 (2,000 human comparisons) 🌍 6 languages 📦 Fully open-source Speed by simplicity. By @SII_GAIR × Sand.ai 📄 💻 🤗

Pengfei Liu

299,085 просмотров • 3 месяцев назад

Grok Imagine Image Quality is here sharper details at 2k. real text. edit any image with a prompt
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Grok Imagine Image Quality is here sharper details at 2k. real text. edit any image with a prompt

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10,798 просмотров • 2 месяцев назад

🇨🇳 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.

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63,859 просмотров • 10 месяцев назад

ElevenLabs Music is here. Generate studio-quality tracks instantly in any genre, style, vocals or instrumental, all with a simple text prompt.
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ElevenLabs Music is here. Generate studio-quality tracks instantly in any genre, style, vocals or instrumental, all with a simple text prompt.

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Listen up 🔊 We’ve made some updates to our Gemini Audio models and capabilities: — Gemini’s live speech-to-speech translation capability is rolling out in a beta experience to the Google Translate app, bringing you real-time audio translation that captures the nuance of human speech — Gemini 2.5 Flash and 2.5 Pro Text-to-Speech preview models bring improved adherence to style prompts, precision pacing with context-aware speed adjustments, and character voice consistency for multi-speaker scenarios — Gemini 2.5 Flash Native Audio is now updated, with improvements to handle complex workflows, navigate user instructions, and hold natural conversations
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Listen up 🔊 We’ve made some updates to our Gemini Audio models and capabilities: — Gemini’s live speech-to-speech translation capability is rolling out in a beta experience to the Google Translate app, bringing you real-time audio translation that captures the nuance of human speech — Gemini 2.5 Flash and 2.5 Pro Text-to-Speech preview models bring improved adherence to style prompts, precision pacing with context-aware speed adjustments, and character voice consistency for multi-speaker scenarios — Gemini 2.5 Flash Native Audio is now updated, with improvements to handle complex workflows, navigate user instructions, and hold natural conversations

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1,092,358 просмотров • 7 месяцев назад

VEO 3.1 Is Here More Control. More of Your Vision. Sharper realism. Smoother motion. Smarter storytelling. VEO 3.1 gives you total control of your cinematic vision. What’s new: ◦ End Frames: Define how your story ends with precision and control. ◦ Enhanced Fidelity: More realistic motion, depth, and detail. ◦ Smarter Expression: Human gestures and emotion that feel real. Still includes everything you love about VEO - seamless video and audio generation, text-to-video, and multi-modal creation - now faster, sharper, and more intuitive. Brought to you first, as official Google launch partner. VEO 3.1 Now available on
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VEO 3.1 Is Here More Control. More of Your Vision. Sharper realism. Smoother motion. Smarter storytelling. VEO 3.1 gives you total control of your cinematic vision. What’s new: ◦ End Frames: Define how your story ends with precision and control. ◦ Enhanced Fidelity: More realistic motion, depth, and detail. ◦ Smarter Expression: Human gestures and emotion that feel real. Still includes everything you love about VEO - seamless video and audio generation, text-to-video, and multi-modal creation - now faster, sharper, and more intuitive. Brought to you first, as official Google launch partner. VEO 3.1 Now available on

Leonardo.Ai

37,134 просмотров • 9 месяцев назад

Video Model Comparison: Text to Video → Veo 3.1 → Sora 2 Pro → Kling 2.6 → Luma Ray3 → Wan 2.5 → Hailuo 2.3 → LTX-2 Pro → Seedance Pro Many of the new models automatically generate sound with video results including Veo 3.1, Sora 2 Pro, Kling 2.6, Wan 2.5, and LTX-2 Pro. I used Mirelo AI SFX and ElevenLabs to add sound to the others. I used the same prompt on each model 4x and chose the best result: Meteor Shower Panic Subject: [Father holding daughter's hand, looking up] Action: [Running through a suburban street, looking up as meteors streak across the sky, a small impact occurs nearby blowing wind and dust at them] Scene: [Suburban street, night, streetlights, burning trails in sky] Style: [Cinematic disaster, low angle tracking shot, high contrast, lens flares from meteors] Audio: Audio: sonic booms, wind rushing, car alarms triggered, shouting. Technical: [daytime, calm, sunny, happy] Which one is your favorite?
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Video Model Comparison: Text to Video → Veo 3.1 → Sora 2 Pro → Kling 2.6 → Luma Ray3 → Wan 2.5 → Hailuo 2.3 → LTX-2 Pro → Seedance Pro Many of the new models automatically generate sound with video results including Veo 3.1, Sora 2 Pro, Kling 2.6, Wan 2.5, and LTX-2 Pro. I used Mirelo AI SFX and ElevenLabs to add sound to the others. I used the same prompt on each model 4x and chose the best result: Meteor Shower Panic Subject: [Father holding daughter's hand, looking up] Action: [Running through a suburban street, looking up as meteors streak across the sky, a small impact occurs nearby blowing wind and dust at them] Scene: [Suburban street, night, streetlights, burning trails in sky] Style: [Cinematic disaster, low angle tracking shot, high contrast, lens flares from meteors] Audio: Audio: sonic booms, wind rushing, car alarms triggered, shouting. Technical: [daytime, calm, sunny, happy] Which one is your favorite?

Heather Cooper

20,422 просмотров • 7 месяцев назад

Introducing Wan2.6 - A native multimodal model that turns your ideas into breathtaking videos and images! · Starring: Cast characters from reference videos into new scenes. Support human or human-like figures, enabling complex multi-person and human-object interactions with appearance and voice consistency. · Intelligent Multi-shot Narrative: Turn simple prompts into auto-storyboarded, multi-shot videos. Maintain visual consistency and upgrade storytelling from single shots to rich narratives. · Native A/V Sync: Generate multi-speaker dialogue with natural lip-sync and studio-quality audio. It doesn’t just look real - it sounds real. · Cinematic Quality: 15s 1080p HD generation with comprehensive upgrades to instruction adherence, motion physics, and aesthetic control. · Advanced Image Synthesis and Editing: Deliver cinematic photorealism with precise control over lens and lighting. Support multi-image referencing for commercial-grade consistency and faithful aesthetic transfer. · Storytelling with Structure: Generate interleaved texts and images powered by real-world knowledge and reasoning capabilities, enabling hierarchical and structured visual narratives.
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Introducing Wan2.6 - A native multimodal model that turns your ideas into breathtaking videos and images! · Starring: Cast characters from reference videos into new scenes. Support human or human-like figures, enabling complex multi-person and human-object interactions with appearance and voice consistency. · Intelligent Multi-shot Narrative: Turn simple prompts into auto-storyboarded, multi-shot videos. Maintain visual consistency and upgrade storytelling from single shots to rich narratives. · Native A/V Sync: Generate multi-speaker dialogue with natural lip-sync and studio-quality audio. It doesn’t just look real - it sounds real. · Cinematic Quality: 15s 1080p HD generation with comprehensive upgrades to instruction adherence, motion physics, and aesthetic control. · Advanced Image Synthesis and Editing: Deliver cinematic photorealism with precise control over lens and lighting. Support multi-image referencing for commercial-grade consistency and faithful aesthetic transfer. · Storytelling with Structure: Generate interleaved texts and images powered by real-world knowledge and reasoning capabilities, enabling hierarchical and structured visual narratives.

Wan

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🎥 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.
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🎥 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 Hub

692,515 просмотров • 1 год назад

🚨 BREAKING: A research lab just released a 15B model that generates multilingual talking human videos with synced audio, beats every competitor in human evaluation, and runs in 38 seconds on one GPU. It's called daVinci-MagiHuman. The key insight is that every other model in this category stacks cross-attention, multi-stream pipelines, and separate conditioning branches to handle video and audio together. This one throws all of that out and uses a single unified self-attention stream across all modalities. Super-resolution happens in latent space rather than pixel space so there's no extra VAE decode-encode round trip. The turbo VAE decoder cuts decoding overhead even further. The distilled version runs in 8 steps with no CFG at all. Visual quality, text alignment, and word error rate all beat Ovi 1.1 and LTX 2.3 on the benchmark table. 100% Opensource. Apache 2.0. Repo and research paper links are in the comments.
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🚨 BREAKING: A research lab just released a 15B model that generates multilingual talking human videos with synced audio, beats every competitor in human evaluation, and runs in 38 seconds on one GPU. It's called daVinci-MagiHuman. The key insight is that every other model in this category stacks cross-attention, multi-stream pipelines, and separate conditioning branches to handle video and audio together. This one throws all of that out and uses a single unified self-attention stream across all modalities. Super-resolution happens in latent space rather than pixel space so there's no extra VAE decode-encode round trip. The turbo VAE decoder cuts decoding overhead even further. The distilled version runs in 8 steps with no CFG at all. Visual quality, text alignment, and word error rate all beat Ovi 1.1 and LTX 2.3 on the benchmark table. 100% Opensource. Apache 2.0. Repo and research paper links are in the comments.

Ihtesham Ali

45,152 просмотров • 3 месяцев назад

Video Agent from HeyGen is live on Replicate! Turn a text prompt into a complete, polished video with AI-generated script, avatar presenter, voiceover, visuals, and editing. Plus, create realistic talking avatar videos with HeyGen's new Avatar IV engine. Video Translate has new "speed" and "precision" modes for more accurate translation lipsync.
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Video Agent from HeyGen is live on Replicate! Turn a text prompt into a complete, polished video with AI-generated script, avatar presenter, voiceover, visuals, and editing. Plus, create realistic talking avatar videos with HeyGen's new Avatar IV engine. Video Translate has new "speed" and "precision" modes for more accurate translation lipsync.

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15,240 просмотров • 4 месяцев назад

Google announces PALP Prompt Aligned Personalization of Text-to-Image Models paper page: Content creators often aim to create personalized images using personal subjects that go beyond the capabilities of conventional text-to-image models. Additionally, they may want the resulting image to encompass a specific location, style, ambiance, and more. Existing personalization methods may compromise personalization ability or the alignment to complex textual prompts. This trade-off can impede the fulfillment of user prompts and subject fidelity. We propose a new approach focusing on personalization methods for a single prompt to address this issue. We term our approach prompt-aligned personalization. While this may seem restrictive, our method excels in improving text alignment, enabling the creation of images with complex and intricate prompts, which may pose a challenge for current techniques. In particular, our method keeps the personalized model aligned with a target prompt using an additional score distillation sampling term. We demonstrate the versatility of our method in multi- and single-shot settings and further show that it can compose multiple subjects or use inspiration from reference images, such as artworks. We compare our approach quantitatively and qualitatively with existing baselines and state-of-the-art techniques.
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Google announces PALP Prompt Aligned Personalization of Text-to-Image Models paper page: Content creators often aim to create personalized images using personal subjects that go beyond the capabilities of conventional text-to-image models. Additionally, they may want the resulting image to encompass a specific location, style, ambiance, and more. Existing personalization methods may compromise personalization ability or the alignment to complex textual prompts. This trade-off can impede the fulfillment of user prompts and subject fidelity. We propose a new approach focusing on personalization methods for a single prompt to address this issue. We term our approach prompt-aligned personalization. While this may seem restrictive, our method excels in improving text alignment, enabling the creation of images with complex and intricate prompts, which may pose a challenge for current techniques. In particular, our method keeps the personalized model aligned with a target prompt using an additional score distillation sampling term. We demonstrate the versatility of our method in multi- and single-shot settings and further show that it can compose multiple subjects or use inspiration from reference images, such as artworks. We compare our approach quantitatively and qualitatively with existing baselines and state-of-the-art techniques.

AK

90,199 просмотров • 2 лет 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
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🚀 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

New course: Build AI agents that generate images and videos -- an under-explored frontier. A key to performance is having the agent evaluate its own output, and iterate to improve quality. This short course is built together with Google Cloud Tech and taught by Katie Nguyen and Wafae Bakkali. You'll learn three evaluation techniques and combine them in an agent: image-text similarity scoring to check the output matches the prompt, an LLM judge that scores against custom criteria like brand consistency, and structured rubrics that break a prompt into verifiable yes/no questions like "is the subject in the frame?" and "does the camera motion match?" Skills you'll gain: - Learn image and video prompt engineering - Build an image agent that turns brand guidelines into UI mockups - Build a video agent that plans multi-scene explainers and animates reference frames with synchronized audio Join and build agents that create images and video!
2:04

New course: Build AI agents that generate images and videos -- an under-explored frontier. A key to performance is having the agent evaluate its own output, and iterate to improve quality. This short course is built together with Google Cloud Tech and taught by Katie Nguyen and Wafae Bakkali. You'll learn three evaluation techniques and combine them in an agent: image-text similarity scoring to check the output matches the prompt, an LLM judge that scores against custom criteria like brand consistency, and structured rubrics that break a prompt into verifiable yes/no questions like "is the subject in the frame?" and "does the camera motion match?" Skills you'll gain: - Learn image and video prompt engineering - Build an image agent that turns brand guidelines into UI mockups - Build a video agent that plans multi-scene explainers and animates reference frames with synchronized audio Join and build agents that create images and video!

Andrew Ng

133,103 просмотров • 1 месяц назад

ANTARCTICA by invideo Creative Residency partner 44creator. Built entirely on invideo Agents & Models. What is Agents & Models inside invideo? A workspace designed for creators who want granular control over consistency and realism. → Nano Banana Pro: For establishing the perfect visual style. → Kling 2.6: For high-fidelity, natural motion. It’s not just about prompting; it’s about directing the scene. How does the workflow work? → Generate the Master Frame: Use Nano Banana Pro to create a photorealistic base image. → Apply the Motion: Pass that image through Kling 2.6 inside the editor. → Direct with Text: Describe the movement you want—drifting ice, blowing snow, or slow reveal. → Render: High-definition video that respects physics and texture. ❌ No complex keyframing ❌ No jumping between apps Just pure cinematic creation in one place. Nano Banana Pro is UNLIMITED for 365 days on all paid plans. Try it today.
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ANTARCTICA by invideo Creative Residency partner 44creator. Built entirely on invideo Agents & Models. What is Agents & Models inside invideo? A workspace designed for creators who want granular control over consistency and realism. → Nano Banana Pro: For establishing the perfect visual style. → Kling 2.6: For high-fidelity, natural motion. It’s not just about prompting; it’s about directing the scene. How does the workflow work? → Generate the Master Frame: Use Nano Banana Pro to create a photorealistic base image. → Apply the Motion: Pass that image through Kling 2.6 inside the editor. → Direct with Text: Describe the movement you want—drifting ice, blowing snow, or slow reveal. → Render: High-definition video that respects physics and texture. ❌ No complex keyframing ❌ No jumping between apps Just pure cinematic creation in one place. Nano Banana Pro is UNLIMITED for 365 days on all paid plans. Try it today.

Invideo

421,778 просмотров • 6 месяцев назад