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Seedance 2.5 did something really nice with this one. The camera keeps missing little things instead of catching everything perfectly. People move in and out of frame, the focus shifts and nobody looks camera-ready. Those small details are what make the whole festival scene work. Prompt 👇

Cherry

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140,450 次观看 • 7 天前 •via X (Twitter)

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I found a mind-blowing Seedance 2.0 hack no one is talking about. Just upload the first and last frame of your story and prompt: "Show me what happens in between. USE MULTIPLE CAMERA ANGLES" It will generate the entire multi-shot video for you 🤯 10 examples 👇

I found a mind-blowing Seedance 2.0 hack no one is talking about. Just upload the first and last frame of your story and prompt: "Show me what happens in between. USE MULTIPLE CAMERA ANGLES" It will generate the entire multi-shot video for you 🤯 10 examples 👇

Framer 🇱🇹

134,080 次观看 • 5 个月前

Made with Seedance 2.5 🎬 This is what happens when cinematic storytelling meets precise AI video control. A packed Friday night. A sudden collision. A cocktail suspended in mid-air. And one bartender moving through frozen time to rebuild the drink before anyone even realizes what happened. 🍸 The attention to liquid physics, ice, garnish movement, character consistency, camera motion, and time transitions is what makes this generation stand out. Prompt below 👇 [Paste the full prompt in the first reply/thread] #AI #Seedance #AIVideo

Made with Seedance 2.5 🎬 This is what happens when cinematic storytelling meets precise AI video control. A packed Friday night. A sudden collision. A cocktail suspended in mid-air. And one bartender moving through frozen time to rebuild the drink before anyone even realizes what happened. 🍸 The attention to liquid physics, ice, garnish movement, character consistency, camera motion, and time transitions is what makes this generation stand out. Prompt below 👇 [Paste the full prompt in the first reply/thread] #AI #Seedance #AIVideo

James AI

72,291 次观看 • 16 天前

Only one Adobe Firefly video prompt from our research hit production-ready on the first generation. Prompt in comments 👀 It looks you have to direct the camera as much as the model to get the most out of Firefly. Every other video session in our research needed a revision. Revising the first frame is where Firefly broke: >motion failures (temporal flicker, motion continuity, physics in motion) carried 60% of video's issue mix once designers re-prompted. TLDR: in Adobe Firefly, the camera does a lot of the work. Bake it into the first prompt and the video lands. Its by far the best time to be a creative.

Only one Adobe Firefly video prompt from our research hit production-ready on the first generation. Prompt in comments 👀 It looks you have to direct the camera as much as the model to get the most out of Firefly. Every other video session in our research needed a revision. Revising the first frame is where Firefly broke: >motion failures (temporal flicker, motion continuity, physics in motion) carried 60% of video's issue mix once designers re-prompted. TLDR: in Adobe Firefly, the camera does a lot of the work. Bake it into the first prompt and the video lands. Its by far the best time to be a creative.

ben @ CVPR

12,847 次观看 • 3 个月前

Here are some really tactical ways to optimize the First and last frame capability: — Make sure your prompt includes precise camera motion descriptions for smooth and creative transitions between the first and last frames. — Or, you can simply include the word “transform” in your prompt for a smooth transition — Starting with a closeup in your first frame and then zooming out to a wide-shot in the final frame is an effective way to create a dramatic reveal.

Here are some really tactical ways to optimize the First and last frame capability: — Make sure your prompt includes precise camera motion descriptions for smooth and creative transitions between the first and last frames. — Or, you can simply include the word “transform” in your prompt for a smooth transition — Starting with a closeup in your first frame and then zooming out to a wide-shot in the final frame is an effective way to create a dramatic reveal.

Google AI

28,595 次观看 • 10 个月前

🎮 3D artists spend hours building the things AI video usually ignores: camera position, spatial relationships, character blocking, proportions, and scene structure. Then they flatten all that work into a single prompt — and hope the model understands what matters. That workflow is about to change. Dreamina has unveiled the world-first global launch of Dreamina Seedance 2.5, the official upgrade to Seedance 2.0. Early access is live on Dreamina, while US availability is expected roughly one week later. It’s whether AI video can finally build on the structured work 3D artists already created — at the lowest cost across the entire Seedance family.

🎮 3D artists spend hours building the things AI video usually ignores: camera position, spatial relationships, character blocking, proportions, and scene structure. Then they flatten all that work into a single prompt — and hope the model understands what matters. That workflow is about to change. Dreamina has unveiled the world-first global launch of Dreamina Seedance 2.5, the official upgrade to Seedance 2.0. Early access is live on Dreamina, while US availability is expected roughly one week later. It’s whether AI video can finally build on the structured work 3D artists already created — at the lowest cost across the entire Seedance family.

Alamin

472,595 次观看 • 1 个月前

This library turns “I know how the shot should feel, but I can’t describe it” into a visual reference and a ready-to-use camera movement prompt in seconds Pick the movement Copy the prompt Stop wasting generations trying to explain the camera It looks like a small tool But small tools like this often become the pages people save, share and quietly return to whenever the same problem appears again That is how useful content starts becoming an asset instead of another post lost in the feed I explored the wider system behind that idea in the article below Save this for your next shot

This library turns “I know how the shot should feel, but I can’t describe it” into a visual reference and a ready-to-use camera movement prompt in seconds Pick the movement Copy the prompt Stop wasting generations trying to explain the camera It looks like a small tool But small tools like this often become the pages people save, share and quietly return to whenever the same problem appears again That is how useful content starts becoming an asset instead of another post lost in the feed I explored the wider system behind that idea in the article below Save this for your next shot

Cip⚡️

12,661 次观看 • 1 个月前

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

14,015 次观看 • 2 个月前

3D artists are focusing on the wrong threat. The scary part is not that AI can make a pretty render. The scary part is that GPT + Intangible MCP can already turn a prompt into something that looks like a full cinematic 3D scene: architecture, environment, mood, lighting, reflections, camera movement, the whole thing. That changes the conversation fast. Because once AI starts operating the workflow instead of just spitting out a lucky image, “knowing the software” stops being the moat people thought it was. The bottleneck shifts somewhere much more dangerous: taste. And taste is a much smaller moat than most 3D people want to believe.

3D artists are focusing on the wrong threat. The scary part is not that AI can make a pretty render. The scary part is that GPT + Intangible MCP can already turn a prompt into something that looks like a full cinematic 3D scene: architecture, environment, mood, lighting, reflections, camera movement, the whole thing. That changes the conversation fast. Because once AI starts operating the workflow instead of just spitting out a lucky image, “knowing the software” stops being the moat people thought it was. The bottleneck shifts somewhere much more dangerous: taste. And taste is a much smaller moat than most 3D people want to believe.

Rina

12,809 次观看 • 13 天前

good AI video is attempt 8, not attempt 1. you test the camera move, fix the prompt, run it again. iteration is the whole craft. this clip is Seedance 2.5 and for the next 3 days, Dreamina's giving 4 free generations: no queue, full speed. after that it's $0.097/sec. cheap enough to make attempt 8 normal. → #DreaminaPartner #Dreamina #Seedance25

good AI video is attempt 8, not attempt 1. you test the camera move, fix the prompt, run it again. iteration is the whole craft. this clip is Seedance 2.5 and for the next 3 days, Dreamina's giving 4 free generations: no queue, full speed. after that it's $0.097/sec. cheap enough to make attempt 8 normal. → #DreaminaPartner #Dreamina #Seedance25

Harsh Makadia

23,028 次观看 • 18 天前

Quick tip for those doing FPV shots on Seedance 2 🔥 A lot of people draw a trajectory on an image to guide the camera movement… But if you really want to unlock the full power of the model without limiting it, create your trajectory directly with a strong, detailed prompt. The difference is massive. Are you team “draw trajectory on image” or team “detailed prompt” for your FPV shots? Tell me in the comments 👇

Quick tip for those doing FPV shots on Seedance 2 🔥 A lot of people draw a trajectory on an image to guide the camera movement… But if you really want to unlock the full power of the model without limiting it, create your trajectory directly with a strong, detailed prompt. The difference is massive. Are you team “draw trajectory on image” or team “detailed prompt” for your FPV shots? Tell me in the comments 👇

Pierrick Chevallier | IA

24,072 次观看 • 2 个月前

Another Seedance 2 test! Handheld running shot with an overflowing bag of gold coins, jumping into water, and having the camera follow him underwater. Can’t wait until this model is fully released! Prompt below 👇

Another Seedance 2 test! Handheld running shot with an overflowing bag of gold coins, jumping into water, and having the camera follow him underwater. Can’t wait until this model is fully released! Prompt below 👇

CoffeeVectors

77,419 次观看 • 6 个月前

Vintage Camera Experts 🎥 We appreciate all the camera operator experts and enthusiast that have been reaching out. Ideally, we would love a robust army of imagers helping us gather as much imagery as possible - from different angles, distances, and altitudes with a variety of equipment. Two of the primary challenges for our camera operators right now are digital interference and the extreme speed and movement of the objects. For the former, there seems to be something about the phenomenon that interferes with digital camera technology. Because of this we are looking to also add a vintage camera suite. There’s lots of evidence that suggests analog imagery of the phenomenon produces better results in some circumstances. In regards to the speed and movement challenge, please see the below video clip from episode two. This is what we are dealing with. Note the speed and movement of the Tic Tacs at 100% vs. 15% . If you feel you’re up to the challenge and have something of value to add, please continue to reach out and offer solutions. 🙏🇺🇸

Vintage Camera Experts 🎥 We appreciate all the camera operator experts and enthusiast that have been reaching out. Ideally, we would love a robust army of imagers helping us gather as much imagery as possible - from different angles, distances, and altitudes with a variety of equipment. Two of the primary challenges for our camera operators right now are digital interference and the extreme speed and movement of the objects. For the former, there seems to be something about the phenomenon that interferes with digital camera technology. Because of this we are looking to also add a vintage camera suite. There’s lots of evidence that suggests analog imagery of the phenomenon produces better results in some circumstances. In regards to the speed and movement challenge, please see the below video clip from episode two. This is what we are dealing with. Note the speed and movement of the Tic Tacs at 100% vs. 15% . If you feel you’re up to the challenge and have something of value to add, please continue to reach out and offer solutions. 🙏🇺🇸

jakebarber

76,578 次观看 • 1 年前

Most AI video comparisons are too easy. One prompt. One short clip. One carefully selected frame. The real test is much harder: Can the model handle dozens of references, sustain a longer shot, and still preserve the creative direction? Dreamina has officially launched Dreamina Seedance 2.5 on its platform. With up to 50 reference materials and 30-second single-generation video, it’s time to test Seedance 2.5 against Omni and Kling under more demanding conditions.

Most AI video comparisons are too easy. One prompt. One short clip. One carefully selected frame. The real test is much harder: Can the model handle dozens of references, sustain a longer shot, and still preserve the creative direction? Dreamina has officially launched Dreamina Seedance 2.5 on its platform. With up to 50 reference materials and 30-second single-generation video, it’s time to test Seedance 2.5 against Omni and Kling under more demanding conditions.

Pradeep Pandey

43,084 次观看 • 1 个月前

Another Sarbiya video is out and it looks like the after Nikkah shoot The grace, the vibe, the togetherness everything is on point If this is really the Nikkah scene, we are in for something beautiful ❤️😍 #Zanjeerain #Sarbiya

Another Sarbiya video is out and it looks like the after Nikkah shoot The grace, the vibe, the togetherness everything is on point If this is really the Nikkah scene, we are in for something beautiful ❤️😍 #Zanjeerain #Sarbiya

Syeda Javeria

10,336 次观看 • 21 天前

Blender just became a prompt box. With Kimi K3 connected through Blender MCP, you can describe a scene like this in plain English and let the model handle the ugly part: terrain, buildings, lighting, materials, camera movement, animation, and the Python scripts holding everything together. The interesting part is not the first render. Kimi can inspect the result, notice that the camera clips through a tree or the city looks suspiciously like plastic, then edit the actual Blender scene and render it again instead of restarting from zero. You still need taste, because “make it cinematic” remains one of humanity’s least useful instructions. But the distance between an empty Blender file and a fully editable 3D world just got embarrassingly small. A few years ago, creating this meant weeks of modeling, scripting, lighting, and animation. Now you can describe the world, watch Kimi build it, and spend your time fixing the final 10% instead of manually constructing the first 90%. Kimi K3 + Blender MCP is basically text-to-3D without trapping the result inside a useless generated video. Every object, material, light, camera, and keyframe stays editable.

Blender just became a prompt box. With Kimi K3 connected through Blender MCP, you can describe a scene like this in plain English and let the model handle the ugly part: terrain, buildings, lighting, materials, camera movement, animation, and the Python scripts holding everything together. The interesting part is not the first render. Kimi can inspect the result, notice that the camera clips through a tree or the city looks suspiciously like plastic, then edit the actual Blender scene and render it again instead of restarting from zero. You still need taste, because “make it cinematic” remains one of humanity’s least useful instructions. But the distance between an empty Blender file and a fully editable 3D world just got embarrassingly small. A few years ago, creating this meant weeks of modeling, scripting, lighting, and animation. Now you can describe the world, watch Kimi build it, and spend your time fixing the final 10% instead of manually constructing the first 90%. Kimi K3 + Blender MCP is basically text-to-3D without trapping the result inside a useless generated video. Every object, material, light, camera, and keyframe stays editable.

Rina

264,903 次观看 • 1 个月前

this kid is making tens of thousands with AI avatars. hundreds of videos where he transforms into different people. average 1M views. some hit 50M. people share it because a kid is doing this. nobody noticed the kid isn't real. the child is AI. the celebrities he becomes are AI. every frame generated. nobody behind the camera. one person figured out that in 2026. you don't need a face to go viral. you don't need a face to make money. the article below breaks down exactly how this works.

this kid is making tens of thousands with AI avatars. hundreds of videos where he transforms into different people. average 1M views. some hit 50M. people share it because a kid is doing this. nobody noticed the kid isn't real. the child is AI. the celebrities he becomes are AI. every frame generated. nobody behind the camera. one person figured out that in 2026. you don't need a face to go viral. you don't need a face to make money. the article below breaks down exactly how this works.

Anatoli Kopadze

233,956 次观看 • 3 个月前

$BTC looks a little weird here. Price already grabbed a lot of the liquidity above. But the downside is sill loaded. The bigger liquidation clusters are sitting underneath, and there’s a lot of leverage packed around those levels. One sharp move down could be enough to start cleaning the whole thing out.

$BTC looks a little weird here. Price already grabbed a lot of the liquidity above. But the downside is sill loaded. The bigger liquidation clusters are sitting underneath, and there’s a lot of leverage packed around those levels. One sharp move down could be enough to start cleaning the whole thing out.

ᴄʀʏᴘᴛᴏ xʟᴀʀɢᴇ

23,089 次观看 • 6 天前

Do you guys remember this guy from last year who stole the.girllens.’s borrowed camera? He was ordered on the InDrive app to deliver a camera to someone, but he ran away with it instead. After seeing posts online of people searching for him, he kept moving from place to place to avoid being caught. He was eventually caught on February 12 this year, but by then he had already sold everything in the bag for 200k and couldn’t trace the buyers, claiming they were Ikeja boys by the roadside. The bag contained a camera and lens worth over 2m, which he sold for just 200k. The case went to court, and he was found guilty, with sentencing fixed for April 9th. However, Seun(the owner of the stolen camera) later asked her to let him go, and despite her pain, she agreed since he was the owner of the camera stollen. Why are you releasing a thief because of pity?? First frame was when he was caught. Second frame was when he sold the camera

Do you guys remember this guy from last year who stole the.girllens.’s borrowed camera? He was ordered on the InDrive app to deliver a camera to someone, but he ran away with it instead. After seeing posts online of people searching for him, he kept moving from place to place to avoid being caught. He was eventually caught on February 12 this year, but by then he had already sold everything in the bag for 200k and couldn’t trace the buyers, claiming they were Ikeja boys by the roadside. The bag contained a camera and lens worth over 2m, which he sold for just 200k. The case went to court, and he was found guilty, with sentencing fixed for April 9th. However, Seun(the owner of the stolen camera) later asked her to let him go, and despite her pain, she agreed since he was the owner of the camera stollen. Why are you releasing a thief because of pity?? First frame was when he was caught. Second frame was when he sold the camera

Idanssssssss😝😝

23,952 次观看 • 4 个月前

By far the best way to generate images at different angles is this 3D Camera Control node. Instead of describing angles with words, you just click the view you want. Simple UI, and the Qwen Image Edit 2511 multi-angle LoRA keeps things consistent across generations. Workflow below 👇

By far the best way to generate images at different angles is this 3D Camera Control node. Instead of describing angles with words, you just click the view you want. Simple UI, and the Qwen Image Edit 2511 multi-angle LoRA keeps things consistent across generations. Workflow below 👇

rob - comfyui

59,189 次观看 • 7 个月前

Before I start covering "things seen through the ready room door" on #StarTrekTNG, here comes the coolest ready room entrance ever (courtesy of my friends at TrekCore.com 🖖): Admiral Quinn entering straight from the lower turbolift in "Coming of Age". What a boss move and a cool continuous camera shot!

Before I start covering "things seen through the ready room door" on #StarTrekTNG, here comes the coolest ready room entrance ever (courtesy of my friends at TrekCore.com 🖖): Admiral Quinn entering straight from the lower turbolift in "Coming of Age". What a boss move and a cool continuous camera shot!

Jörg Hillebrand

22,956 次观看 • 9 个月前