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Starting from only a few reference images… Magnific Spaces turned them into a complete cinematic video sequence. The final result keeps the same mood, style, and visual identity surprisingly well across the entire clip. Magnific (formerly Freepik) #Magnific

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NeuraFlow AI

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99,293 просмотров • 3 месяцев назад •via X (Twitter)

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These reference images were used as the starting point. This is the final cinematic video generated with Magnific Spaces. Feels much closer to a real visual development workflow than isolated AI generations. Freepik becoming Magnific honestly fits the direction of the platform now. Magnific (formerly Freepik) #Magnific
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These reference images were used as the starting point. This is the final cinematic video generated with Magnific Spaces. Feels much closer to a real visual development workflow than isolated AI generations. Freepik becoming Magnific honestly fits the direction of the platform now. Magnific (formerly Freepik) #Magnific

Nova IA

90,813 просмотров • 3 месяцев назад

Reference images in. Final cinematic sequence out. What I like here is how closely the final video follows the original visual direction instead of drifting away from it halfway through. Magnific (formerly Freepik) #Magnific
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Reference images in. Final cinematic sequence out. What I like here is how closely the final video follows the original visual direction instead of drifting away from it halfway through. Magnific (formerly Freepik) #Magnific

Theo Builds AI

62,988 просмотров • 3 месяцев назад

Voice, music, and SFX from a single prompt Seed Audio 1.0 is now on Magnific → Scene control: environment, voice, emotion, music, SFX → Multi-character dialogue → Texto-to-audio, up to 3 reference audios or image Available on the Magnific Voice Generator, MCP and Spaces
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Voice, music, and SFX from a single prompt Seed Audio 1.0 is now on Magnific → Scene control: environment, voice, emotion, music, SFX → Multi-character dialogue → Texto-to-audio, up to 3 reference audios or image Available on the Magnific Voice Generator, MCP and Spaces

Magnific

53,283 просмотров • 1 месяц назад

Introducing Magnific Skin Enhancer A new upscaler that cleans digital noise, keeps all the details and delivers natural tones, smooth texture and a lifelike finish Three modes to match your vision: Faithful, Creative, Flexible Now available on Freepik
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Introducing Magnific Skin Enhancer A new upscaler that cleans digital noise, keeps all the details and delivers natural tones, smooth texture and a lifelike finish Three modes to match your vision: Faithful, Creative, Flexible Now available on Freepik

Magnific

44,595 просмотров • 8 месяцев назад

We took the liberty of turning our CXO into... well, everything we could Kling 2.6 Motion Control is a beast for creativity The craziest creation wins 50K credits on Freepik Reply to this tweet now
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We took the liberty of turning our CXO into... well, everything we could Kling 2.6 Motion Control is a beast for creativity The craziest creation wins 50K credits on Freepik Reply to this tweet now

Magnific

35,707 просмотров • 6 месяцев назад

Introducing Restyle 💥 Choose from a preset, a color palette, or upload your own reference image to transfer its style. All while keeping the structure intact Available now for all plans
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Introducing Restyle 💥 Choose from a preset, a color palette, or upload your own reference image to transfer its style. All while keeping the structure intact Available now for all plans

Magnific (formerly Freepik)

35,401 просмотров • 1 год назад

I turned a single AI-generated image into a cinematic video using GPTProto Official Here's the complete workflow—from image creation to the final result. 🧵
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I turned a single AI-generated image into a cinematic video using GPTProto Official Here's the complete workflow—from image creation to the final result. 🧵

Anissa

11,305 просмотров • 15 дней назад

From the Stone Age to the year 5000… What do you think would still feel familiar in such a distant future? Made with Luma #LumaDreamMachine and the upcoming #mystic model from Freepik (now Magnific) and Javi Lopez ⛩️ 🦾🦾🦾 #evolution #ai #AIgirl
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From the Stone Age to the year 5000… What do you think would still feel familiar in such a distant future? Made with Luma #LumaDreamMachine and the upcoming #mystic model from Freepik (now Magnific) and Javi Lopez ⛩️ 🦾🦾🦾 #evolution #ai #AIgirl

edmondyang

88,439 просмотров • 2 лет назад

MiniMax H3 × Midjourney V8.2 I just made a Hollywood-style space movie scene on Pollo AI and the result is insane. Midjourney V8.2 created the cinematic reference image. Then MiniMax H3 turned it into a full sci-fi sequence with an alien mothership, zero-gravity destruction, space battles, cinematic dialogue and synchronized audio. All from one detailed prompt.
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MiniMax H3 × Midjourney V8.2 I just made a Hollywood-style space movie scene on Pollo AI and the result is insane. Midjourney V8.2 created the cinematic reference image. Then MiniMax H3 turned it into a full sci-fi sequence with an alien mothership, zero-gravity destruction, space battles, cinematic dialogue and synchronized audio. All from one detailed prompt.

Katherine

51,921 просмотров • 9 дней назад

Kling 2.6 Motion Capture is so good. It's a huge leap forward. We've been able to do motion capture with AI for a while, but the quality bump finally made this approach useful. Here are the steps: - Get a reference video - record it or get a stock video - Grab the start frame of that video - Edit it using Nano Banana Pro. Ask to replace character and background. - Select the Kling 2.6 Motion Capture model in the video generator on Freepik (now Magnific) - Upload reference video + set the edited start frame - Video prompt can be simple e.g. "Gandalf dancing"
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Kling 2.6 Motion Capture is so good. It's a huge leap forward. We've been able to do motion capture with AI for a while, but the quality bump finally made this approach useful. Here are the steps: - Get a reference video - record it or get a stock video - Grab the start frame of that video - Edit it using Nano Banana Pro. Ask to replace character and background. - Select the Kling 2.6 Motion Capture model in the video generator on Freepik (now Magnific) - Upload reference video + set the edited start frame - Video prompt can be simple e.g. "Gandalf dancing"

Martin LeBlanc

35,262 просмотров • 7 месяцев назад

Superman takes on Homelander. Seedance 2.0 just turned it into a short, cinematic Hollywood-style clip. And this is only the beginning-the next edits are going to be even crazier.
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Superman takes on Homelander. Seedance 2.0 just turned it into a short, cinematic Hollywood-style clip. And this is only the beginning-the next edits are going to be even crazier.

Zephyra Leigh

16,949 просмотров • 5 месяцев назад

It looks like these sketch-style storyboards work really well in Seedance 2.0. I'm going to stick with this approach for a while. In the video prompt, I only include intent, style, reference and visual approach. It follows the storyboard surprisingly well. I'm sharing below the GPT Image 2 prompt I use to create the previs, along with the video prompt I use afterwards. Created on @MartiniArt_
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It looks like these sketch-style storyboards work really well in Seedance 2.0. I'm going to stick with this approach for a while. In the video prompt, I only include intent, style, reference and visual approach. It follows the storyboard surprisingly well. I'm sharing below the GPT Image 2 prompt I use to create the previs, along with the video prompt I use afterwards. Created on @MartiniArt_

Kōda

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Magnific 'Structure Reference' + RunwayML "Restyle video" to colorize old movies ... I think one might run this in a way you use this to help to determine the color layer and then apply the colors on top of the original black and white image... ... would work best if you would do a separate init frame for each cut...
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Magnific 'Structure Reference' + RunwayML "Restyle video" to colorize old movies ... I think one might run this in a way you use this to help to determine the color layer and then apply the colors on top of the original black and white image... ... would work best if you would do a separate init frame for each cut...

Roope Rainisto

55,724 просмотров • 1 год назад

Midjourney start and end frames rock 🔥 I retextured the images using GPT-4o and the JSON below to give them a voxel-style makeover, then turned them into smooth animations with Midjourney Video! Prompt 👇
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Midjourney start and end frames rock 🔥 I retextured the images using GPT-4o and the JSON below to give them a voxel-style makeover, then turned them into smooth animations with Midjourney Video! Prompt 👇

Ege

147,535 просмотров • 1 год назад

KAIYA: The Wolf Blade GPT Images 2 + Seedance 2 is an insane combo. Created the entire character sheet with GPT Images… Then turned it into a cinematic video using Seedance. this will change how we create AI videos... Prompts below: ↓
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KAIYA: The Wolf Blade GPT Images 2 + Seedance 2 is an insane combo. Created the entire character sheet with GPT Images… Then turned it into a cinematic video using Seedance. this will change how we create AI videos... Prompts below: ↓

ZOYA ✪

35,994 просмотров • 3 месяцев назад

Teenage Parkour Runner 🏃‍♂️ Made with Seedance 2.0 by Yapper Prompt : Generate a video: "Use the person from the reference image as the main character. Preserve the same face, hairstyle, age appearance, body type, skin tone, and clothing style from the reference image throughout the entire video. Maintain strong facial consistency and character identity across all shots." 0.0s – 1.5s Use the person from the reference image as the main character. Preserve the same face, hairstyle, age appearance, body type, skin tone, and clothing style from the reference image throughout the entire video. Maintain strong facial consistency and character identity across all shots. Wide aerial shot of a dense modern city at sunset. The teenage parkour runner sprints across a rooftop. Golden sunlight reflects from skyscraper windows. Dynamic drone chase camera from behind. 1.5s – 3.0s The runner accelerates and vaults over rooftop railings and obstacles with expert parkour technique. Low-angle tracking camera emphasizes speed, agility, and athletic movement. 3.0s – 4.5s The runner leaps across a rooftop gap high above the city streets. Cinematic orbit camera during the jump, realistic physics, smooth landing. 4.5s – 6.0s The runner performs a wall-run up the side of a building, grabs a ledge, and pulls upward. Close-up action shot showing determination and fluid movement. 6.0s – 7.5s The runner rapidly climbs a vertical maintenance ladder toward higher rooftops. Camera tilts upward, revealing the glowing sunset skyline. 7.5s – 9.0s The runner emerges onto a higher rooftop and performs a final long jump toward the tallest skyscraper. Epic cinematic perspective, realistic motion, dramatic scale. 9.0s – 10.0s The runner reaches the summit of the tallest building and stands at the edge overlooking the illuminated city. The camera pulls back into a massive aerial shot as the sunset paints the skyline with orange, pink, and purple colors. Epic, inspirational ending. Style: Ultra-realistic, cinematic parkour action, golden hour lighting, realistic human motion, dynamic drone cinematography, high detail, film-quality color grading, volumetric lighting, atmospheric haze, 4K, smooth motion blur, consistent character identity from reference image. Negative Prompt: face changes, identity drift, different person, inconsistent clothing, blurry face, distorted anatomy, extra limbs, unrealistic parkour, floating, physics errors, low quality, cartoon, anime, CGI look, frame glitches, watermark, logo, text, camera shake, motion artifacts, 9:16.
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Teenage Parkour Runner 🏃‍♂️ Made with Seedance 2.0 by Yapper Prompt : Generate a video: "Use the person from the reference image as the main character. Preserve the same face, hairstyle, age appearance, body type, skin tone, and clothing style from the reference image throughout the entire video. Maintain strong facial consistency and character identity across all shots." 0.0s – 1.5s Use the person from the reference image as the main character. Preserve the same face, hairstyle, age appearance, body type, skin tone, and clothing style from the reference image throughout the entire video. Maintain strong facial consistency and character identity across all shots. Wide aerial shot of a dense modern city at sunset. The teenage parkour runner sprints across a rooftop. Golden sunlight reflects from skyscraper windows. Dynamic drone chase camera from behind. 1.5s – 3.0s The runner accelerates and vaults over rooftop railings and obstacles with expert parkour technique. Low-angle tracking camera emphasizes speed, agility, and athletic movement. 3.0s – 4.5s The runner leaps across a rooftop gap high above the city streets. Cinematic orbit camera during the jump, realistic physics, smooth landing. 4.5s – 6.0s The runner performs a wall-run up the side of a building, grabs a ledge, and pulls upward. Close-up action shot showing determination and fluid movement. 6.0s – 7.5s The runner rapidly climbs a vertical maintenance ladder toward higher rooftops. Camera tilts upward, revealing the glowing sunset skyline. 7.5s – 9.0s The runner emerges onto a higher rooftop and performs a final long jump toward the tallest skyscraper. Epic cinematic perspective, realistic motion, dramatic scale. 9.0s – 10.0s The runner reaches the summit of the tallest building and stands at the edge overlooking the illuminated city. The camera pulls back into a massive aerial shot as the sunset paints the skyline with orange, pink, and purple colors. Epic, inspirational ending. Style: Ultra-realistic, cinematic parkour action, golden hour lighting, realistic human motion, dynamic drone cinematography, high detail, film-quality color grading, volumetric lighting, atmospheric haze, 4K, smooth motion blur, consistent character identity from reference image. Negative Prompt: face changes, identity drift, different person, inconsistent clothing, blurry face, distorted anatomy, extra limbs, unrealistic parkour, floating, physics errors, low quality, cartoon, anime, CGI look, frame glitches, watermark, logo, text, camera shake, motion artifacts, 9:16.

Zar⭕on

25,900 просмотров • 2 месяцев назад

By combining Pika Pikaframes and Freepik (now Magnific), I now have the magical ability to jump through space and time and in this example, music becomes a transformative element teleporting this woman to a new location. This is how it's done. 1/6 🧵 The videos below are fully narrated so make sure to turn on the audio 🔊 Yes, you'll need a subscription on both Freepik and Pikaframes if you want to create something like this, I would rather be honest and tell you from the start 👍
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By combining Pika Pikaframes and Freepik (now Magnific), I now have the magical ability to jump through space and time and in this example, music becomes a transformative element teleporting this woman to a new location. This is how it's done. 1/6 🧵 The videos below are fully narrated so make sure to turn on the audio 🔊 Yes, you'll need a subscription on both Freepik and Pikaframes if you want to create something like this, I would rather be honest and tell you from the start 👍

Travis Davids

63,607 просмотров • 1 год назад

Made with kling 3.0 on Higgsfield AI 🧩 Video Prompt : Use the uploaded reference image as the exact identity reference for the subject. Create a hyper-realistic live IPL television broadcast crowd-shot sequence during a high-energy playoff cricket match in a packed Indian stadium. The subject from the reference image must remain fully consistent throughout: same face, same hairstyle, same outfit, same skin tone, same lighting, same seating position, and same crowd environment. Preserve identity accuracy strongly across the entire sequence. The video should feel exactly like a genuine Star Sports IPL crowd cutaway captured during a real live match — NOT cinematic, NOT influencer-style, NOT vlog-style. Show realistic live broadcast camera behavior: quick crowd cutaways, natural stadium lighting, authentic TV zoom lens movement, slight camera shake, realistic audience reactions, energetic IPL atmosphere, LED advertisement boards, match scoreboard overlays, cheering fans around the subject. The subject should react naturally to the match: smiling, clapping, looking tense during close moments, celebrating boundaries/wickets, and occasionally looking toward the field. Maintain realistic Indian stadium ambience with thousands of spectators, team jerseys, flags, chants, floodlights, and authentic IPL playoff energy. Ultra realistic skin texture, natural motion, realistic hair movement, accurate facial consistency, broadcast-quality detail, shallow depth of field, true live sports telecast aesthetic, 4K realism, highly detailed crowd environment. Prompt: cinematic lighting, music-video style, slow motion, overacting, beauty filter, influencer aesthetic, vlog framing, AI face distortion, cartoon look, unrealistic expressions, fantasy colors, excessive blur, duplicate faces, identity drift, studio lighting, posed acting, fake crowd.
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Made with kling 3.0 on Higgsfield AI 🧩 Video Prompt : Use the uploaded reference image as the exact identity reference for the subject. Create a hyper-realistic live IPL television broadcast crowd-shot sequence during a high-energy playoff cricket match in a packed Indian stadium. The subject from the reference image must remain fully consistent throughout: same face, same hairstyle, same outfit, same skin tone, same lighting, same seating position, and same crowd environment. Preserve identity accuracy strongly across the entire sequence. The video should feel exactly like a genuine Star Sports IPL crowd cutaway captured during a real live match — NOT cinematic, NOT influencer-style, NOT vlog-style. Show realistic live broadcast camera behavior: quick crowd cutaways, natural stadium lighting, authentic TV zoom lens movement, slight camera shake, realistic audience reactions, energetic IPL atmosphere, LED advertisement boards, match scoreboard overlays, cheering fans around the subject. The subject should react naturally to the match: smiling, clapping, looking tense during close moments, celebrating boundaries/wickets, and occasionally looking toward the field. Maintain realistic Indian stadium ambience with thousands of spectators, team jerseys, flags, chants, floodlights, and authentic IPL playoff energy. Ultra realistic skin texture, natural motion, realistic hair movement, accurate facial consistency, broadcast-quality detail, shallow depth of field, true live sports telecast aesthetic, 4K realism, highly detailed crowd environment. Prompt: cinematic lighting, music-video style, slow motion, overacting, beauty filter, influencer aesthetic, vlog framing, AI face distortion, cartoon look, unrealistic expressions, fantasy colors, excessive blur, duplicate faces, identity drift, studio lighting, posed acting, fake crowd.

Shahid Wani

139,457 просмотров • 2 месяцев назад

New fal workflow: video restyling with Video Depth Anything and Seedance 2.0 - Restyle the first frame into your target look - Extract consistent depth across the source video - Use that depth to guide Seedance 2.0 through the full sequence - Preserve the original motion and composition while transforming the visual style A simple workflow for turning existing footage into stylized video.
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New fal workflow: video restyling with Video Depth Anything and Seedance 2.0 - Restyle the first frame into your target look - Extract consistent depth across the source video - Use that depth to guide Seedance 2.0 through the full sequence - Preserve the original motion and composition while transforming the visual style A simple workflow for turning existing footage into stylized video.

fal

10,909 просмотров • 28 дней назад

I turned a six-scene cookie storyboard into a polished 15-second product video using VlogMe.ai | AI Creative Studio Video Studio. Here's the original concept, the workflow, and the final result. 🧵
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I turned a six-scene cookie storyboard into a polished 15-second product video using VlogMe.ai | AI Creative Studio Video Studio. Here's the original concept, the workflow, and the final result. 🧵

Anissa

12,432 просмотров • 14 дней назад