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I tested Seedance 2.0 vs Kling 3.0. The winner was obvious. Same prompt, same reference image, one scene: a boy rescuing his dog from an oncoming car. Seedance 2.0 came out ahead across the board: · Better character consistency — the boy's face and expression stayed recognizable through fast,... dynamic motion. · More coherent physics — when the boy dives to save the dog, he actually lands on the other side of the road. In Kling 3.0, they just drop in place, which breaks the logic of the scene. · More natural motion — fluid movements without the exaggerated, theatrical quality that plagues most AI video. · Richer cinematic language — varied shot compositions including close-ups, camera transitions, and framing shifts that actively reinforce emotion and narrative tension. The gap suggests Seedance 2.0's training leans heavier into film language, not just motion synthesis.show more

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Seedance 2.0 VS Kling 3.0! 🔥 Essential comparison to understand the two best models on the market Conclusions and prompt: The generations are radically different, using the same initial and final frames and spaceship elements. I specified that it's a fast-paced, cinematic action scene. But Seedance has created a beautiful, relaxing, high-quality scene. The rendering of the ship's movements is sublime with Seedance; it's a dynamic, cinematic-quality 3D element. The Kling scene conveys the message better; I specified that it should splash in the water. The sounds are good; in Seedance, the sound quality is cinematic. I've added a third shot with Kling and a giant. I used Kling 3.0 at Higgsfield Prompt in comment:

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hedoήist

43,612 Aufrufe • vor 5 Monaten

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?

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35,800 Aufrufe • vor 3 Monaten

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35,789 Aufrufe • vor 12 Tagen

Same cozy pasta recipe. Same 30-second cinematic cooking vlog. I put Seedance 2.0 and Seedance 2.5 on CapCut through the exact same cooking sequence to compare food preparation, hand movements, steam, camera motion, lighting, character consistency, and overall cinematic realism. No prompt changes. No shortcuts. Just a direct side by side test to see how much the generation quality has evolved. CapCut Which one is your favorite?

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Soulful Ai

45,177 Aufrufe • vor 12 Tagen

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Dinda Prasetyo

45,450 Aufrufe • vor 6 Monaten

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.

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Jibril

113,346 Aufrufe • vor 4 Monaten

Seedance 2.0 is now in HeyGen Everyone's using Seedance to generate cinematic video with any character. We just made that character you. Introducing Avatar Shots - your likeness, consistent across scenes. Dynamic motion. Multiple avatars in the same shot. Same face. Way more range. Only available through business email verification for all regions except US and Japan. RT + comment "SEEDANCE" for 100 HeyGen credits (must follow)

Joshua Xu

600,991 Aufrufe • vor 4 Monaten

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Curious Refuge

42,151 Aufrufe • vor 1 Jahr

Seedance 2.0 - Advanced Workflows Series 11. Cinematic Camera Angles through Video Gen + Specialized Storyboard AI Agent Are you already getting camera shots and angles through Nano Banana Pro? Take the next step. Seedance 2.0 has a better spatial understanding of the scene than image generation models. Because it is built to produce cinematic clips, it achieves more beautiful shots and angles than image models like Nano Banana, which are primarily made for image editing. As an added bonus, Seedance renders the entire space of the scene, so you can get tens of shots with complete spatial and element consistency in a single generation. Create a specific AI Agent to help you with storyboarding, and feed the input into Seedance to get the most cinematic shots. You can access Seedance 2.0 now on insMind (link at the end of the thread). Workflow + Prompts👇

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VoxelPlot

125,934 Aufrufe • vor 3 Monaten

Been playing with a character consistency workflow again. This came from Nexora that starts with a single GPT Image 2.0 character sheet and turns it into a multi-shot cinematic sequence in Seedance 2.0. One thing I added to the workflow: I first comped the character, environment, and visual style together in Midjourney before bringing everything into GPT Image 2.0 to build the character sheet. I also pushed it a bit further by generating multiple characters, destinations, and art directions at the same time, then turning those into production-style character sheets and shot sequences. It's interesting how much consistency you can get from a single well-defined character board when the visual language, wardrobe, and environment are established upfront. Check out three different character + scenes here 👇

Been playing with a character consistency workflow again. This came from Nexora that starts with a single GPT Image 2.0 character sheet and turns it into a multi-shot cinematic sequence in Seedance 2.0. One thing I added to the workflow: I first comped the character, environment, and visual style together in Midjourney before bringing everything into GPT Image 2.0 to build the character sheet. I also pushed it a bit further by generating multiple characters, destinations, and art directions at the same time, then turning those into production-style character sheets and shot sequences. It's interesting how much consistency you can get from a single well-defined character board when the visual language, wardrobe, and environment are established upfront. Check out three different character + scenes here 👇

Curious Refuge

12,209 Aufrufe • vor 2 Monaten

Midjourney V7 + Kling 2.0 → Damn. The painted wolves gave me goosebumps (idk why). TOOLS: + MJ V7: Image gen. + Kling 2.0: Video gen. + Topaz: Upscaling + Udio: Music gen. EX MIDJOURNEY PROMPT: african wild dogs hunting in the African plains, shot on Leica M10-R --ar 16:9 --profile rj6wbiu KLING PROMPT EX: The camera races low and fast across the dry savannah, tracking a pack of African painted wolves in full pursuit. Dust kicks up from their pounding paws as the lead hunter breaks off from the pack, eyes locked ahead. The handheld rig keeps tight on the alpha’s face — ears back, muscles flexing with every stride. The rest of the pack fills the edges of the frame in a blur of motion and urgency. The golden hour sun casts sharp shadows and streaks of warm light across their mottled coats, highlighting each ripple of tension and speed. The camera shakes and dips with the terrain, creating an immersive, visceral chase. A life-or-death hunt captured in raw, cinematic clarity. #midjourney #kling Kling AI

Rory Flynn

149,158 Aufrufe • vor 1 Jahr

Seedance 2.0 is insane. Blender previs is having a moment in AI filmmaking for a reason. I wanted to see how far I could push the workflow beyond a simple camera move in an ambush scene. The workflow: 1. Make a start image in Midjourney 2. Block it out in Blender, animate the camera 3. Feed both to Seedance The more I test this pipeline, the more convinced I am that hybrid pipelines are the future. The conversation is moving fast but previs is one of the clearest unlocks so far. Seedance still isn't perfect at matching the reference but it's close. You can experiment with staging, timing, and camera movement before you ever touch the video model. Solve the scene before you generate the shot.

Seedance 2.0 is insane. Blender previs is having a moment in AI filmmaking for a reason. I wanted to see how far I could push the workflow beyond a simple camera move in an ambush scene. The workflow: 1. Make a start image in Midjourney 2. Block it out in Blender, animate the camera 3. Feed both to Seedance The more I test this pipeline, the more convinced I am that hybrid pipelines are the future. The conversation is moving fast but previs is one of the clearest unlocks so far. Seedance still isn't perfect at matching the reference but it's close. You can experiment with staging, timing, and camera movement before you ever touch the video model. Solve the scene before you generate the shot.

Reid Hannaford

224,419 Aufrufe • vor 1 Monat

We generated this scene with just one trial on Seedance Enterprise 2.5. We had run this same shot on other models and it took us around 8 attempts before anything came back usable. Generations are billed one at a time so 8 tries to 1 is the entire cost story. 30 seconds, single shot, no stitching, what used to be a day of rerolling is now a single pass, which means the budget goes into testing new concepts instead of rescuing one. Watch the water as the creature moves through it, and watch the camera fall behind during the escape. The realistic physics, smooth camera motion, and shot consistency all came directly from the model.None of that was added in post. We used Seedream 5.0 for the visual ideation and Seedance 2.5 for the video. Both are running on lumina at 4K, up to 50 references to hold a character or product steady across a shot, and region editing to fix one part of a frame without regenerating the whole thing. Seedance 2.5 API is about to launch on BytePlus, and now you can try it directly on Lumina.

We generated this scene with just one trial on Seedance Enterprise 2.5. We had run this same shot on other models and it took us around 8 attempts before anything came back usable. Generations are billed one at a time so 8 tries to 1 is the entire cost story. 30 seconds, single shot, no stitching, what used to be a day of rerolling is now a single pass, which means the budget goes into testing new concepts instead of rescuing one. Watch the water as the creature moves through it, and watch the camera fall behind during the escape. The realistic physics, smooth camera motion, and shot consistency all came directly from the model.None of that was added in post. We used Seedream 5.0 for the visual ideation and Seedance 2.5 for the video. Both are running on lumina at 4K, up to 50 references to hold a character or product steady across a shot, and region editing to fix one part of a frame without regenerating the whole thing. Seedance 2.5 API is about to launch on BytePlus, and now you can try it directly on Lumina.

Future Stacked

86,132 Aufrufe • vor 15 Tagen

A Chinese creator found a way to sell $3,000-$5,000 brand videos with no team, no camera crew, and no agency. no film crew. no editor. no storyboard artist. just one ComfyUI canvas turning product photos into finished AI ads. > GPT-image2 builds the director board: shots, camera moves, scenes, sound design > Seedance 2.0 turns the board into motion > product reference locks the object > character reference locks the face, outfit, and style > 16:9. 4K. one visual plan. > final prompt: generate the video from this storyboard old workflow: brand → agency → director → editor → revisions → invoice new workflow: product image → storyboard → reference sheet → video the expensive part was never rendering.

0xTria

15,847 Aufrufe • vor 2 Monaten

📖THE SEEDANCE 2.0 PROMPT FORMAT THAT NOBODY IS USING BUT EVERYONE SHOULD Most people use Seedance 2.0 wrong. They type a normal prompt and wonder why the result looks generic. The difference between these two visuals isn't a better idea — it's a better prompt format. Normal prompt gives you a good result. JSON prompt gives you a cinematic one. Here's why it works: A normal prompt describes what you want. A JSON prompt tells Seedance exactly how to build the scene — camera movement, lighting angle, atmosphere, texture, depth, timing. You're not asking for a video. You're engineering one. The crystal dolphin jumping above an ancient courtyard with floating jellyfish — same concept, two completely different outputs. The JSON version has golden hour, dramatic clouds, volumetric light, and a sense of scale the normal prompt never reached. The glowing lotus fountain — same story. Normal prompt gives you a clean render. JSON gives you a full cinematic frame with layered depth, warm lantern light, and a composition that looks like it belongs in a feature film. The workflow that produces this: • Step 1 — Write your scene idea in plain language first •Step 2 — Ask Claude to convert it into a structured JSON prompt with fields for: subject, environment, camera, lighting, mood, motion, color grade • Step 3 — Paste the JSON into Seedance 2.0 • Step 4 — Take the best clip into Premiere Pro for final color correction and sound design The tools are free or cheap. The knowledge of how to prompt is what separates the results. This is the gap most creators never close. 📥 BACK TOMORROW. There will be new life hacks 🔖 The full guide is pinned below. Save it before you need it.

📖THE SEEDANCE 2.0 PROMPT FORMAT THAT NOBODY IS USING BUT EVERYONE SHOULD Most people use Seedance 2.0 wrong. They type a normal prompt and wonder why the result looks generic. The difference between these two visuals isn't a better idea — it's a better prompt format. Normal prompt gives you a good result. JSON prompt gives you a cinematic one. Here's why it works: A normal prompt describes what you want. A JSON prompt tells Seedance exactly how to build the scene — camera movement, lighting angle, atmosphere, texture, depth, timing. You're not asking for a video. You're engineering one. The crystal dolphin jumping above an ancient courtyard with floating jellyfish — same concept, two completely different outputs. The JSON version has golden hour, dramatic clouds, volumetric light, and a sense of scale the normal prompt never reached. The glowing lotus fountain — same story. Normal prompt gives you a clean render. JSON gives you a full cinematic frame with layered depth, warm lantern light, and a composition that looks like it belongs in a feature film. The workflow that produces this: • Step 1 — Write your scene idea in plain language first •Step 2 — Ask Claude to convert it into a structured JSON prompt with fields for: subject, environment, camera, lighting, mood, motion, color grade • Step 3 — Paste the JSON into Seedance 2.0 • Step 4 — Take the best clip into Premiere Pro for final color correction and sound design The tools are free or cheap. The knowledge of how to prompt is what separates the results. This is the gap most creators never close. 📥 BACK TOMORROW. There will be new life hacks 🔖 The full guide is pinned below. Save it before you need it.

Zentrix⌚️

136,558 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 20 Tagen

I used Seedance Enterprise 2.5 to create this AI rap music video. One thing I noticed during testing was that I spent less time regenerating shots. I got the result on the second attempt. I was getting usable results more consistently, which made the workflow feel faster and more cost-effective. The authenticity struck me profoundly, Seedance 2.5 captures micro‑expressions and subtle eye shifts that feel unscripted — the kind of nuance that usually gets lost in AI, but here makes every frame read as a real performance. The 30-second generation made the creative process feel much more natural. The motion, lighting, and camera movement felt more natural, making it easier to focus on storytelling instead of fixing every scene. I can also see how pairing it with SeedAudio would make the overall AI music video workflow even more seamless. Support for multimodal references and localized editing helped keep the visuals consistent while making refinements much easier. Overall, Seedance 2.5 feels less like a shot generator and more like a creative tool for cinematic storytelling and music videos. Seedance 2.5 API is about to launch on BytePlus, and Lumina will also roll out Seedance 2.5 soon

I used Seedance Enterprise 2.5 to create this AI rap music video. One thing I noticed during testing was that I spent less time regenerating shots. I got the result on the second attempt. I was getting usable results more consistently, which made the workflow feel faster and more cost-effective. The authenticity struck me profoundly, Seedance 2.5 captures micro‑expressions and subtle eye shifts that feel unscripted — the kind of nuance that usually gets lost in AI, but here makes every frame read as a real performance. The 30-second generation made the creative process feel much more natural. The motion, lighting, and camera movement felt more natural, making it easier to focus on storytelling instead of fixing every scene. I can also see how pairing it with SeedAudio would make the overall AI music video workflow even more seamless. Support for multimodal references and localized editing helped keep the visuals consistent while making refinements much easier. Overall, Seedance 2.5 feels less like a shot generator and more like a creative tool for cinematic storytelling and music videos. Seedance 2.5 API is about to launch on BytePlus, and Lumina will also roll out Seedance 2.5 soon

Zara

28,952 Aufrufe • vor 17 Tagen

Seedance 2.0 is about to change the entire internet. A “Chinese Sora 2”, but far better — and with almost no censorship. That’s why Chinese models are ahead. I’m not just talking. I’m proving it. This is a compilation of the best videos made with Seedance 2.0. It does everything: anime, gameplay, 3D animation, fight choreography, cinematic scenes — all with surreal mastery. Don’t take my word for it. Watch the full video. I guarantee you’ll be impressed. Now the question is: Between Hailuo 3.0, Veo 4, and PixVerse 6, which one actually has a chance to surpass Seedance 2.0 — which, based on what it already delivers, is the best in the world? And let’s be clear: Design is about to become obsolete. This isn’t an opinion. It’s a fact. The most challenging task humans have ever faced — video production — has truly been conquered by AI. Seedance 2.0 is about to change everything. Production models, business structures, and industry formats will be completely transformed. Leave your thoughts 👇

Seedance 2.0 is about to change the entire internet. A “Chinese Sora 2”, but far better — and with almost no censorship. That’s why Chinese models are ahead. I’m not just talking. I’m proving it. This is a compilation of the best videos made with Seedance 2.0. It does everything: anime, gameplay, 3D animation, fight choreography, cinematic scenes — all with surreal mastery. Don’t take my word for it. Watch the full video. I guarantee you’ll be impressed. Now the question is: Between Hailuo 3.0, Veo 4, and PixVerse 6, which one actually has a chance to surpass Seedance 2.0 — which, based on what it already delivers, is the best in the world? And let’s be clear: Design is about to become obsolete. This isn’t an opinion. It’s a fact. The most challenging task humans have ever faced — video production — has truly been conquered by AI. Seedance 2.0 is about to change everything. Production models, business structures, and industry formats will be completely transformed. Leave your thoughts 👇

nachos2d

69,153 Aufrufe • vor 6 Monaten

Six months ago you could generate almost anything with AI image and video tools. That window is closing fast. A creator recently stress-tested Nano Banana Pro, Kling, and Seedance 2.0 on this RISKY video project. Midway through production, Seedance 2.0 tightened its filters so aggressively that outputs it generated days earlier were suddenly blocked. Same prompts. Same workflow. Different results overnight. They had to fall back to older APIs and manual image-to-video seeding just to maintain visual consistency across the project. This is happening across every major model. Filters get stricter after launch, not before. The capabilities you test on day one aren't guaranteed on day thirty. If you're building any creative workflow around AI generation tools, you need to know this: the models you're relying on today are not the same models you'll have access to next quarter. Document your workflows. Save your outputs. And stop assuming the tools will stay as open as they are right now.

Six months ago you could generate almost anything with AI image and video tools. That window is closing fast. A creator recently stress-tested Nano Banana Pro, Kling, and Seedance 2.0 on this RISKY video project. Midway through production, Seedance 2.0 tightened its filters so aggressively that outputs it generated days earlier were suddenly blocked. Same prompts. Same workflow. Different results overnight. They had to fall back to older APIs and manual image-to-video seeding just to maintain visual consistency across the project. This is happening across every major model. Filters get stricter after launch, not before. The capabilities you test on day one aren't guaranteed on day thirty. If you're building any creative workflow around AI generation tools, you need to know this: the models you're relying on today are not the same models you'll have access to next quarter. Document your workflows. Save your outputs. And stop assuming the tools will stay as open as they are right now.

Alex Prompter

22,305 Aufrufe • vor 3 Monaten