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We just tested a lip sync workflow in Seedance 2.0… and it might actually compete with HeyGen and other avatar models 👀 You upload: – a reference image – a blacked out video with audio OR audio file – a prompt (camera motion + VO) The prompted VO is... show more

Curious Refuge

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19,265 görüntüleme • 3 ay önce •via X (Twitter)

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So Seedance 2.0 Omni’s biggest breakthrough might be lip sync and dialogue. It lets you upload audio and sync it to characters, even multiple characters within the same scene. So we ran tests against the leading lip sync tool, HeyGen, and the results were surprising. Seedance Omni held up well, especially in wide cinematic shots and multi-character scenes. The results can still feel a bit unnatural at times, though they improve with iteration. HeyGen continues to perform better for upfront avatar-style lip sync. Still, the fact that we now have a lip sync tool within a video model that can directly compete with HeyGen is real progress.

Curious Refuge

11,660 görüntüleme • 5 ay önce

The wait is over 💥 Seedance 2.0 is now on Freepik. EVERY plan. EVERYWHERE → Full cinematic video from a SINGLE prompt → Multimodal: text, image, video, audio → Lip-sync and beat-synced audio built in → Motion control via references Try it now on Freepik

The wait is over 💥 Seedance 2.0 is now on Freepik. EVERY plan. EVERYWHERE → Full cinematic video from a SINGLE prompt → Multimodal: text, image, video, audio → Lip-sync and beat-synced audio built in → Motion control via references Try it now on Freepik

Magnific

133,584 görüntüleme • 4 ay önce

LIP SYNC 2.0 ▶️ Video To Video Upload a video and make it talk with perfect lip sync. We're looking for bold creators to test this out. 💬 Repost + comment to get early access.

LIP SYNC 2.0 ▶️ Video To Video Upload a video and make it talk with perfect lip sync. We're looking for bold creators to test this out. 💬 Repost + comment to get early access.

Dzine

30,928 görüntüleme • 1 yıl önce

currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan

currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan

DStudioproject

96,950 görüntüleme • 7 ay önce

I just tested Motion Sync on Yapper and I like the cinematic Video made in minutes. Let me show you how you can do it 👇 Step 1: Open Step 2: Click on video and select Motion Sync. Then, ✅️Select base video Pick a video with the movement you want — this will drive the animation. ✅️Add reference image Upload your character or image you want to bring to life. ✅️Generate video Hit generate and watch your idea turn into a smooth motion sync clip. Simple, fast, and actually fun to experiment with.

I just tested Motion Sync on Yapper and I like the cinematic Video made in minutes. Let me show you how you can do it 👇 Step 1: Open Step 2: Click on video and select Motion Sync. Then, ✅️Select base video Pick a video with the movement you want — this will drive the animation. ✅️Add reference image Upload your character or image you want to bring to life. ✅️Generate video Hit generate and watch your idea turn into a smooth motion sync clip. Simple, fast, and actually fun to experiment with.

Leonardo

50,931 görüntüleme • 3 ay önce

Global by default with Video Translation Localize any video into 170+ languages with human-level lip sync, visual-aware translation, cleaner audio, and smarter multi-speaker + gender matching. Upload a video or YouTube link → go global. Now on iOS. Web + API next.

Global by default with Video Translation Localize any video into 170+ languages with human-level lip sync, visual-aware translation, cleaner audio, and smarter multi-speaker + gender matching. Upload a video or YouTube link → go global. Now on iOS. Web + API next.

HeyGen

31,682 görüntüleme • 9 ay önce

FIRST TEST Seedance 2.0! From my initial tests, this is one of the more impressive AI video models I’ve tried so far. Dynamic motion feels fluid, prompt adherence is solid, and the efficiency really stood out, very little iteration needed. Everything you see here was generated using just one reference image + one prompt. I also tested a 3×3 image grid with no prompt at all, and the results stayed surprisingly consistent. Another highlight: sound design is already included, and it actually works really well. Tested via BytePlus 👉 More detail and access link to try Seedance 2.0 is in the comments.

FIRST TEST Seedance 2.0! From my initial tests, this is one of the more impressive AI video models I’ve tried so far. Dynamic motion feels fluid, prompt adherence is solid, and the efficiency really stood out, very little iteration needed. Everything you see here was generated using just one reference image + one prompt. I also tested a 3×3 image grid with no prompt at all, and the results stayed surprisingly consistent. Another highlight: sound design is already included, and it actually works really well. Tested via BytePlus 👉 More detail and access link to try Seedance 2.0 is in the comments.

Dinda Prasetyo

45,450 görüntüleme • 6 ay önce

[NEW] — Avatar in Motion 1.0🏃‍♂️✨ Move your hands, make gestures, use unique tones of voice, and HeyGen will flawlessly track, translate, and lip-sync your video with any input text. Can't believe it? 👇Comment a script for what we should make Nik say & we’ll post the video!

HeyGen

426,715 görüntüleme • 2 yıl önce

Finally got our hands on Seedance 2.0 (through YouArt) and ran it head-to-head with Kling AI 3.0. Here’s what stood out: Seedance 2.0’s physics feel stronger right away. The movement just looks more natural and realistic, especially in bigger physical actions. It also handles continuity across multiple shots from a single prompt better than I expected, which makes scene building a lot easier. And on the audio side, the lip sync generally holds up better than Kling. But here’s the tradeoff: Both models struggle with fine details. Background faces and smaller elements still get a bit messy. Seedance currently outputs at 720p, while Kling 3.0 supports 1080p, so Kling has the edge in overall sharpness. Even with upscaling, Seedance doesn’t fully recover those tiny details. Verdict🏆: Seedance 2.0 is a real step forward, especially for motion realism, but it’s definitely not the “end of Hollywood.” Check out our latest tutorial where we show you how to get access to this new model and take a deep look at the quality of this new AI Video Generator:

Finally got our hands on Seedance 2.0 (through YouArt) and ran it head-to-head with Kling AI 3.0. Here’s what stood out: Seedance 2.0’s physics feel stronger right away. The movement just looks more natural and realistic, especially in bigger physical actions. It also handles continuity across multiple shots from a single prompt better than I expected, which makes scene building a lot easier. And on the audio side, the lip sync generally holds up better than Kling. But here’s the tradeoff: Both models struggle with fine details. Background faces and smaller elements still get a bit messy. Seedance currently outputs at 720p, while Kling 3.0 supports 1080p, so Kling has the edge in overall sharpness. Even with upscaling, Seedance doesn’t fully recover those tiny details. Verdict🏆: Seedance 2.0 is a real step forward, especially for motion realism, but it’s definitely not the “end of Hollywood.” Check out our latest tutorial where we show you how to get access to this new model and take a deep look at the quality of this new AI Video Generator:

Curious Refuge

58,989 görüntüleme • 5 ay önce

🚨 LTX just dropped Audio-to-Video and it’s changing content creation forever. Just upload your voice or a song → LTX instantly builds perfectly timed visuals with automatic lip-sync. No more manual syncing. No more editing timelines for hours. Now your audio directs the scene and turns it into a cinematic video in seconds. Here’s how it works:

🚨 LTX just dropped Audio-to-Video and it’s changing content creation forever. Just upload your voice or a song → LTX instantly builds perfectly timed visuals with automatic lip-sync. No more manual syncing. No more editing timelines for hours. Now your audio directs the scene and turns it into a cinematic video in seconds. Here’s how it works:

Manish Kumar Shah

27,360 görüntüleme • 6 ay önce

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Travis Davids

19,236 görüntüleme • 3 ay önce

Grok Imagine 0.9 can create game videos. And it’s mind blowing. Created this fight sequence in Grok Imagine. YOU CAN’T WATCH JUST ONCE. xAI latest model is a master of camera controls with amazing lip sync, superior audio and visual quality. Its prompt adherence and speed is next level.

Grok Imagine 0.9 can create game videos. And it’s mind blowing. Created this fight sequence in Grok Imagine. YOU CAN’T WATCH JUST ONCE. xAI latest model is a master of camera controls with amazing lip sync, superior audio and visual quality. Its prompt adherence and speed is next level.

Prashant

99,871 görüntüleme • 10 ay önce

This AI filmmaking workflow is incredible! RenderNet AI’s Canvas has everything we need - Image & Video Generator, lip-sync, pose lock and more. And it's insane that it can do character consistency with just one image. I made this music video in just a few hours. Here’s how:

This AI filmmaking workflow is incredible! RenderNet AI’s Canvas has everything we need - Image & Video Generator, lip-sync, pose lock and more. And it's insane that it can do character consistency with just one image. I made this music video in just a few hours. Here’s how:

el.cine

59,402 görüntüleme • 1 yıl önce

Another Hailuo AI (MiniMax) H3 test, this time looking at audio reference and performance (A little NSFW language on end of this one!). I recorded the dialogue as an audio track and fed that in as a reference with a image reference of the man. In the text prompts I gave some direction to the actor (Like the look to camera at the end). I think the model did a brilliant job of matching the performance to the words and emotion that were in the audio ref. Unlike Seedance 2.0 I didn't have to feed in black video or write the words in the prompt to get the words correct. It seemed to use the exact audio from the reference I provided, which is what you want when using voice actors. Things are getting real... fast

Another Hailuo AI (MiniMax) H3 test, this time looking at audio reference and performance (A little NSFW language on end of this one!). I recorded the dialogue as an audio track and fed that in as a reference with a image reference of the man. In the text prompts I gave some direction to the actor (Like the look to camera at the end). I think the model did a brilliant job of matching the performance to the words and emotion that were in the audio ref. Unlike Seedance 2.0 I didn't have to feed in black video or write the words in the prompt to get the words correct. It seemed to use the exact audio from the reference I provided, which is what you want when using voice actors. Things are getting real... fast

Uncanny Harry AI

14,036 görüntüleme • 12 gün önce

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

Rohan Paul

63,859 görüntüleme • 11 ay önce

Seedance 2.0 vs Gemini Omni, tested under the same conditions 👀 I was working on a new storyboard. After generating it with Seedance 2.0, I gave the exact same prompt + storyboard reference + character reference to Gemini Omni as well. Result: Gemini Omni surprised me with style quality and got closer than I expected in prompt adherence. But Seedance still feels ahead for storyboard execution, motion energy, camera language and environmental interaction. Gemini looks good. Seedance feels directed. You can see them in the video and the storyboard sheet is shown at the end. Which one do you think is more useful for this kind of work?

Seedance 2.0 vs Gemini Omni, tested under the same conditions 👀 I was working on a new storyboard. After generating it with Seedance 2.0, I gave the exact same prompt + storyboard reference + character reference to Gemini Omni as well. Result: Gemini Omni surprised me with style quality and got closer than I expected in prompt adherence. But Seedance still feels ahead for storyboard execution, motion energy, camera language and environmental interaction. Gemini looks good. Seedance feels directed. You can see them in the video and the storyboard sheet is shown at the end. Which one do you think is more useful for this kind of work?

Kōda

35,800 görüntüleme • 2 ay önce

Dreamina Seedance 2.0 is by far the best video model I've tried, and Dreamina makes it even better. You can try it in the link below. It's not just about the quality of the output, but about how much control you have over your video's look. Watch my video here. I'm attaching reference images and asking the model to generate a video using them. I can reference each image using the @ symbol to instruct the model which image to use. You can even upload a clip and use its camera movement, styles from an image, and audio vibe from a track. By the way, you can take an existing video and replace, remove, or add elements to it while the model preserves everything else. This is the closest we've gotten to "editing videos like photos".

Dreamina Seedance 2.0 is by far the best video model I've tried, and Dreamina makes it even better. You can try it in the link below. It's not just about the quality of the output, but about how much control you have over your video's look. Watch my video here. I'm attaching reference images and asking the model to generate a video using them. I can reference each image using the @ symbol to instruct the model which image to use. You can even upload a clip and use its camera movement, styles from an image, and audio vibe from a track. By the way, you can take an existing video and replace, remove, or add elements to it while the model preserves everything else. This is the closest we've gotten to "editing videos like photos".

Santiago

45,143 görüntüleme • 4 ay önce

Wait... this was made by AI? I’ve been testing out and I’m honestly impressed. Most AI tools just show random pictures, but this one actually understands the music. I tried the "MV" feature and the lip-sync is perfect, the character's mouth moves exactly with the lyrics and the beat. It feels like a real performance instead of just a generated video. And, the best part? I made this in just 30 minutes with one click without switching tool or complicated editing needed. Check it out here: Drama.land_official

Wait... this was made by AI? I’ve been testing out and I’m honestly impressed. Most AI tools just show random pictures, but this one actually understands the music. I tried the "MV" feature and the lip-sync is perfect, the character's mouth moves exactly with the lyrics and the beat. It feels like a real performance instead of just a generated video. And, the best part? I made this in just 30 minutes with one click without switching tool or complicated editing needed. Check it out here: Drama.land_official

Chidanand Tripathi

80,533 görüntüleme • 6 ay önce

Testing four AI video models from the same input image and prompt. The scene: two cybernetic soldiers dueling with energy swords in a rainy neon cyberpunk city. This thread breaks down scene richness, physics, and camera motion for each model. First, a side-by-side comparison video of PixVerse V6 and Seedance 2.0.

Testing four AI video models from the same input image and prompt. The scene: two cybernetic soldiers dueling with energy swords in a rainy neon cyberpunk city. This thread breaks down scene richness, physics, and camera motion for each model. First, a side-by-side comparison video of PixVerse V6 and Seedance 2.0.

Jibril

113,346 görüntüleme • 3 ay önce