Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Let this chocolate brown Countach heal your algorithm! This commercial started as nothing more than an idea. I wanted to create something that felt timeless a chocolate brown Lamborghini Countach, an old-money atmosphere, a powerful woman, a luxury mansion party, natural daylight, authentic human interactions, and a commercial so...

JuliaClarky's profile picture

Julia Clark

7,450 subscribers

26,529 Aufrufe • vor 2 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

From raw honeycomb to luxury skincare. 🍯✨ This entire commercial was crafted as an AI concept, blending nature, beauty, and premium product storytelling into one seamless visual experience. What do you think? Does it feel like a real skincare commercial? Tools used: ChatGPT – Concept, storyboard & prompts Kling AI 3.0 – Video generation CapCut – Final edit Prompt and story board in the comment
0:41

From raw honeycomb to luxury skincare. 🍯✨ This entire commercial was crafted as an AI concept, blending nature, beauty, and premium product storytelling into one seamless visual experience. What do you think? Does it feel like a real skincare commercial? Tools used: ChatGPT – Concept, storyboard & prompts Kling AI 3.0 – Video generation CapCut – Final edit Prompt and story board in the comment

FATHELA ESQ

23,061 Aufrufe • vor 1 Monat

i built a way to make full ai films with seedance 2.5 + higgsfield without shooting a single frame in real life you start with a screenplay, a treatment, or even just an idea and it gives you an actual production plan: scenes, shots, character references, locations, dialogue, b-roll, sound, captions, everything you need to turn it into a finished film this was supposed to stay internal but f*ck it, i’m sharing the whole workflow here’s how it works: the script gets broken down scene by scene, then every scene gets turned into a proper shot list with prompts that account for character continuity, wardrobe, lighting, locations, camera movement, pacing, and what needs to happen before and after that shot those prompts get run through seedance 2.5, using reference assets and longer generations to keep the film feeling like one world instead of a thousand random ai clips stitched together then the footage gets assembled with voice, sound design, music, dialogue, captions, and transitions into an actual watchable film the whole system is built to take you from script to a finished film seedance 2.5 is coming soon on higgsfield, but i’m sharing the full breakdown before it so you can be prepared: the script-to-scene system that turns a screenplay into a real production plan seedance 2.5 prompt setup for cinematic shots and consistent characters the reference-asset workflow for keeping faces, wardrobe, locations, and visual style locked in the editing, voice, sound, and caption workflow that turns generated clips into a finished movie RT + reply “FILM” and (i’ll send it over must follow so i can dm)
0:39

i built a way to make full ai films with seedance 2.5 + higgsfield without shooting a single frame in real life you start with a screenplay, a treatment, or even just an idea and it gives you an actual production plan: scenes, shots, character references, locations, dialogue, b-roll, sound, captions, everything you need to turn it into a finished film this was supposed to stay internal but f*ck it, i’m sharing the whole workflow here’s how it works: the script gets broken down scene by scene, then every scene gets turned into a proper shot list with prompts that account for character continuity, wardrobe, lighting, locations, camera movement, pacing, and what needs to happen before and after that shot those prompts get run through seedance 2.5, using reference assets and longer generations to keep the film feeling like one world instead of a thousand random ai clips stitched together then the footage gets assembled with voice, sound design, music, dialogue, captions, and transitions into an actual watchable film the whole system is built to take you from script to a finished film seedance 2.5 is coming soon on higgsfield, but i’m sharing the full breakdown before it so you can be prepared: the script-to-scene system that turns a screenplay into a real production plan seedance 2.5 prompt setup for cinematic shots and consistent characters the reference-asset workflow for keeping faces, wardrobe, locations, and visual style locked in the editing, voice, sound, and caption workflow that turns generated clips into a finished movie RT + reply “FILM” and (i’ll send it over must follow so i can dm)

Sulfur

48,323 Aufrufe • vor 8 Tagen

i built a way to generate realistic AI influencer vlogs without ever touching a camera. this was supposed to stay internal but f*ck it, i'm leaking the entire production system. pick any topic. or paste in a script. a few minutes later you've got a finished influencer-style vlog with: > a consistent AI character > cinematic shots > natural dialogue > realistic iPhone footage > b-roll here's how it works: the workflow first breaks your script into a complete scene-by-scene storyboard with timestamps, camera directions, dialogue, environments, pacing, and shot planning so every clip has a purpose instead of feeling randomly generated. each scene gets its own reference image prompt for Higgsfield that locks the character's identity, clothing, camera angle, lighting, and environment to keep the person looking the same across the entire vlog. those reference images are then animated in Seedance 2.5 using scene-specific prompts that control movement, lip sync, ambient audio, dialogue, camera motion, and timing so every clip feels like it was filmed on an iPhone instead of generated by AI. finally everything gets assembled in CapCut with b-roll, subtitles, transitions, music, pacing, and final polish into a complete vlog that's ready to upload. you're not filming,hiring actors or recording voiceovers. the whole thing goes from idea → finished AI influencer vlog. the document i'm sharing includes: > the complete scene breakdown framework > every Higgsfield image prompt > every Seedance 2.5 animation prompt > dialogue for every scene > b-roll prompts > editing workflow inside capcut > structural notes that make the vlog feel real instead of AI RT + reply "AI VLOG", i'll DM you the entire production blueprint.(must be following so i can DM.)
2:30

i built a way to generate realistic AI influencer vlogs without ever touching a camera. this was supposed to stay internal but f*ck it, i'm leaking the entire production system. pick any topic. or paste in a script. a few minutes later you've got a finished influencer-style vlog with: > a consistent AI character > cinematic shots > natural dialogue > realistic iPhone footage > b-roll here's how it works: the workflow first breaks your script into a complete scene-by-scene storyboard with timestamps, camera directions, dialogue, environments, pacing, and shot planning so every clip has a purpose instead of feeling randomly generated. each scene gets its own reference image prompt for Higgsfield that locks the character's identity, clothing, camera angle, lighting, and environment to keep the person looking the same across the entire vlog. those reference images are then animated in Seedance 2.5 using scene-specific prompts that control movement, lip sync, ambient audio, dialogue, camera motion, and timing so every clip feels like it was filmed on an iPhone instead of generated by AI. finally everything gets assembled in CapCut with b-roll, subtitles, transitions, music, pacing, and final polish into a complete vlog that's ready to upload. you're not filming,hiring actors or recording voiceovers. the whole thing goes from idea → finished AI influencer vlog. the document i'm sharing includes: > the complete scene breakdown framework > every Higgsfield image prompt > every Seedance 2.5 animation prompt > dialogue for every scene > b-roll prompts > editing workflow inside capcut > structural notes that make the vlog feel real instead of AI RT + reply "AI VLOG", i'll DM you the entire production blueprint.(must be following so i can DM.)

Sulfur

70,956 Aufrufe • vor 5 Tagen

Co-produced with PAI by Utopai Studios, the first long-form video generation model. The AI video clip era is ending! I started with a short story idea. From there, PAI generated the characters, transformed them into keyframes, and then animated the scenes into a full sequence. The interesting part was seeing how the same characters, environment, and visual style stayed consistent across multiple shots while the story progressed naturally. What felt different here is that I wasn’t building each shot manually. I focused on the narrative, and the engine handled character creation, scene continuity, and animation to produce a ready-to-watch video. A step-by-step tutorial so you can make your own story 👇🏻 Thanks to Utopai Studios for collaborating with me Try it now: #UtopaiPartners
0:58

Co-produced with PAI by Utopai Studios, the first long-form video generation model. The AI video clip era is ending! I started with a short story idea. From there, PAI generated the characters, transformed them into keyframes, and then animated the scenes into a full sequence. The interesting part was seeing how the same characters, environment, and visual style stayed consistent across multiple shots while the story progressed naturally. What felt different here is that I wasn’t building each shot manually. I focused on the narrative, and the engine handled character creation, scene continuity, and animation to produce a ready-to-watch video. A step-by-step tutorial so you can make your own story 👇🏻 Thanks to Utopai Studios for collaborating with me Try it now: #UtopaiPartners

Amira Zairi

25,679 Aufrufe • vor 5 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 👇
0:45

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

GPT Image 2 + Seedance 2 = an animated cinematic universe. I was curious about what boundaries exist for AI storytelling continuity, so I built the world of Donotopia, a Pixar-style universe, filled with comedy, emotional arcs, destruction, big boss fights and continuity of multiple scenes. I was surprised with how powerful the workflow was: - Inside GPT Image 2, I generated 3x3 storyboard sheets with 3x3 scenes for a total of 27 scenes. - Each scene was designed and drawn as a step of pre-production in animation. - Heaps of images were generated, resulting in a Character Kit for a Bobo Gigglesworth, with references for facial expression, baggy clothes and personality. - Shot continuity was maintained in the scene diagrams. - The angles of the shots were directed as actual film, including crane shots, low angle shots, chaos shots and cinematic push-ins. - The destruction was choreographed with emotional arcs and continuity of the environment. - Seedance 2 was used to transform the drawings of the film into animated storyboard shots. The story evolved way beyond what I expected:
2:23

GPT Image 2 + Seedance 2 = an animated cinematic universe. I was curious about what boundaries exist for AI storytelling continuity, so I built the world of Donotopia, a Pixar-style universe, filled with comedy, emotional arcs, destruction, big boss fights and continuity of multiple scenes. I was surprised with how powerful the workflow was: - Inside GPT Image 2, I generated 3x3 storyboard sheets with 3x3 scenes for a total of 27 scenes. - Each scene was designed and drawn as a step of pre-production in animation. - Heaps of images were generated, resulting in a Character Kit for a Bobo Gigglesworth, with references for facial expression, baggy clothes and personality. - Shot continuity was maintained in the scene diagrams. - The angles of the shots were directed as actual film, including crane shots, low angle shots, chaos shots and cinematic push-ins. - The destruction was choreographed with emotional arcs and continuity of the environment. - Seedance 2 was used to transform the drawings of the film into animated storyboard shots. The story evolved way beyond what I expected:

Beginnersblog

15,856 Aufrufe • vor 2 Monaten

I gave myself a challenge. Create a high-end commercial the kind that costs hundreds of thousands to produce, using only AI. No camera. No actors. No location scouts. Meet Clover. A fresh grocery delivery brand I built entirely from scratch for this project. Crazy story, I spent more days creating the assets than I did on the video and editing. The brand identity, the world, the character, the shot list, everything locked before a single frame was generated. This is the result. What do you think? Powered by “Invideo's" Agent One.
1:22

I gave myself a challenge. Create a high-end commercial the kind that costs hundreds of thousands to produce, using only AI. No camera. No actors. No location scouts. Meet Clover. A fresh grocery delivery brand I built entirely from scratch for this project. Crazy story, I spent more days creating the assets than I did on the video and editing. The brand identity, the world, the character, the shot list, everything locked before a single frame was generated. This is the result. What do you think? Powered by “Invideo's" Agent One.

Stella Soribe ❤️

38,551 Aufrufe • vor 1 Monat

What if fantasy epics could be brought to life with AI? "The Celestial Slayer" is an AI-generated cinematic trailer following the journey of a celestial queen who transforms into a divine warrior, blending breathtaking world-building, magical visual effects, and blockbuster-inspired action into a fantasy adventure. Created entirely using next-generation AI creative workflows, this project demonstrates how creators can produce cinematic trailers, concept films, and immersive visual stories without the traditional limitations of large-scale film production. The future of fantasy filmmaking is being reimagined,one frame at a time. What do you think? Would you watch a full-length AI-generated fantasy film like this? Story board and prompt and in the comments Tools used: • ChatGPT — Character • Seedance 2.0 — Video generation • CapCut — Editing
0:50

What if fantasy epics could be brought to life with AI? "The Celestial Slayer" is an AI-generated cinematic trailer following the journey of a celestial queen who transforms into a divine warrior, blending breathtaking world-building, magical visual effects, and blockbuster-inspired action into a fantasy adventure. Created entirely using next-generation AI creative workflows, this project demonstrates how creators can produce cinematic trailers, concept films, and immersive visual stories without the traditional limitations of large-scale film production. The future of fantasy filmmaking is being reimagined,one frame at a time. What do you think? Would you watch a full-length AI-generated fantasy film like this? Story board and prompt and in the comments Tools used: • ChatGPT — Character • Seedance 2.0 — Video generation • CapCut — Editing

FATHELA ESQ

43,060 Aufrufe • vor 17 Tagen

The Legend of the Crowned Duck🦆👑 Pollo AI PolloAI Creators Three emojis. One dark sanctuary. An ancient crown. And a story that feels like it belongs in a forgotten myth. I challenged AI to create a cinematic legend using nothing more than 🦆 👑 🔥 What emerged was a hyper-realistic ruler standing in the shadows, surrounded by rising embers, ancient stone, and a kingdom on the edge of awakening. Every frame started as a simple idea. The result feels like a scene pulled from an epic fantasy film. Built entirely with AI. Workflow and Prompts below👇🏾 #PolloAI #PolloMeme
0:30

The Legend of the Crowned Duck🦆👑 Pollo AI PolloAI Creators Three emojis. One dark sanctuary. An ancient crown. And a story that feels like it belongs in a forgotten myth. I challenged AI to create a cinematic legend using nothing more than 🦆 👑 🔥 What emerged was a hyper-realistic ruler standing in the shadows, surrounded by rising embers, ancient stone, and a kingdom on the edge of awakening. Every frame started as a simple idea. The result feels like a scene pulled from an epic fantasy film. Built entirely with AI. Workflow and Prompts below👇🏾 #PolloAI #PolloMeme

Gilbert Odera | Your AI Plug🇰🇪

22,350 Aufrufe • vor 1 Monat

So Runway Aleph 2.0 just dropped, and it introduces a pretty interesting workflow for AI video footage editing. Rather than repeatedly prompting a video model and hoping it makes the change you want, you can edit a specific frame first, then use that frame to guide the video generation. For this test, I take an existing footage inside Runway: • Picked a frame from the original video • Used Nano Banana Pro to add a new effect/object • Brought that frame into Aleph 2.0 to generate the updated video It feels like a more controllable and potentially cheaper way to make targeted edits to existing footage than current AI video omni models available like Seedance and Gemini.
2:59

So Runway Aleph 2.0 just dropped, and it introduces a pretty interesting workflow for AI video footage editing. Rather than repeatedly prompting a video model and hoping it makes the change you want, you can edit a specific frame first, then use that frame to guide the video generation. For this test, I take an existing footage inside Runway: • Picked a frame from the original video • Used Nano Banana Pro to add a new effect/object • Brought that frame into Aleph 2.0 to generate the updated video It feels like a more controllable and potentially cheaper way to make targeted edits to existing footage than current AI video omni models available like Seedance and Gemini.

Curious Refuge

11,410 Aufrufe • vor 2 Monaten

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
0:30

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 9 Tagen

Our very own Alexander Chen created "Hello, world" a short film inspired by the technology of his childhood with Google Labs Flow. Here's a closer look at how he brought his vision to life: 1) All of the clips were generated in Flow using text-to-image prompts except he used image-to-video prompts for the close-up shots to ensure consistency and accuracy (and the images used were generated by Imagen). 2) To evoke the exact feelings of his childhood home, he used Google Street View for visual references then asked the Google Gemini to write descriptions and prompts, then uploaded those into Flow which is what produced such vivid and accurate renderings in the film. 3) Every sound used in the video is generated by Veo 3. However, to blend things together, he used a separate video editing software to extend the head and tail of each clip over the proceeding and following clip, occasionally crossfading the audio to help with transitions.
2:13

Our very own Alexander Chen created "Hello, world" a short film inspired by the technology of his childhood with Google Labs Flow. Here's a closer look at how he brought his vision to life: 1) All of the clips were generated in Flow using text-to-image prompts except he used image-to-video prompts for the close-up shots to ensure consistency and accuracy (and the images used were generated by Imagen). 2) To evoke the exact feelings of his childhood home, he used Google Street View for visual references then asked the Google Gemini to write descriptions and prompts, then uploaded those into Flow which is what produced such vivid and accurate renderings in the film. 3) Every sound used in the video is generated by Veo 3. However, to blend things together, he used a separate video editing software to extend the head and tail of each clip over the proceeding and following clip, occasionally crossfading the audio to help with transitions.

Google AI

94,790 Aufrufe • vor 1 Jahr

From Late-Night Match Chaos to Stadium Atmosphere⚽🔥 Pollo AI Every football fan knows the feeling. The final whistle blows. The snacks are gone. The room feels exhausted. So I imagined a product ad built around a simple question: What if one spray could transform an ordinary living room into the energy of a packed stadium? That idea became this cinematic AI-generated commercial. A simple product. A dramatic transformation. A story people instantly understand. Check my workflow and prompts below👇🏾 #PolloAI #PolloScore
0:30

From Late-Night Match Chaos to Stadium Atmosphere⚽🔥 Pollo AI Every football fan knows the feeling. The final whistle blows. The snacks are gone. The room feels exhausted. So I imagined a product ad built around a simple question: What if one spray could transform an ordinary living room into the energy of a packed stadium? That idea became this cinematic AI-generated commercial. A simple product. A dramatic transformation. A story people instantly understand. Check my workflow and prompts below👇🏾 #PolloAI #PolloScore

Gilbert Odera | Your AI Plug🇰🇪

37,397 Aufrufe • vor 2 Monaten

THIS GUY UPDATED AN OPEN SOURCE TOOL FOR CLAUDE FABLE 5 THAT TAKES A SINGLE IMAGE AND AUTOMATICALLY REBUILDS IT AS A PREMIUM SCROLL LINKED WEB ANIMATION Instead of slicing videos by hand or exporting individual frames, you just hand it an image and it recreates the entire sequence as a pure scroll mapped experience - Pick an anchor image and set your overall creative direction - The tool automatically scales it into motion clips and uses ffmpeg to rip out every frame in the background - Maps the frames directly to your scroll position, tracking the cursor for an ultra smooth user experience - AND its open source, so you can drop the skill into your own terminal workspace He tested it on a highly detailed origami style travel website and it came out genuinely good for something built completely in one shot Turning a single photo into an automated frame mapped scrolling app is the kind of thing that used to take a developer hours
0:34

THIS GUY UPDATED AN OPEN SOURCE TOOL FOR CLAUDE FABLE 5 THAT TAKES A SINGLE IMAGE AND AUTOMATICALLY REBUILDS IT AS A PREMIUM SCROLL LINKED WEB ANIMATION Instead of slicing videos by hand or exporting individual frames, you just hand it an image and it recreates the entire sequence as a pure scroll mapped experience - Pick an anchor image and set your overall creative direction - The tool automatically scales it into motion clips and uses ffmpeg to rip out every frame in the background - Maps the frames directly to your scroll position, tracking the cursor for an ultra smooth user experience - AND its open source, so you can drop the skill into your own terminal workspace He tested it on a highly detailed origami style travel website and it came out genuinely good for something built completely in one shot Turning a single photo into an automated frame mapped scrolling app is the kind of thing that used to take a developer hours

0xMarioNawfal

111,254 Aufrufe • vor 1 Monat

i built a tool that lets you clone ANY video with AI saw a movie scene you want to recreate? a commercial? a music video? just upload it to this tool and get the exact structured prompt to generate it in sora 2 you no longer need to guess how to describe what you want to generate. show the tool the reference and it engineers the prompt for you. the tool analyzes: - camera movements and angles - lighting and color grading - scene composition and timing then converts everything into sora-optimized prompt structure this is how you recreate any visual style without prompt engineering experience RT + reply 'TOOL' and i'll send you access (must follow so i can dm)
0:21

i built a tool that lets you clone ANY video with AI saw a movie scene you want to recreate? a commercial? a music video? just upload it to this tool and get the exact structured prompt to generate it in sora 2 you no longer need to guess how to describe what you want to generate. show the tool the reference and it engineers the prompt for you. the tool analyzes: - camera movements and angles - lighting and color grading - scene composition and timing then converts everything into sora-optimized prompt structure this is how you recreate any visual style without prompt engineering experience RT + reply 'TOOL' and i'll send you access (must follow so i can dm)

Miko

43,009 Aufrufe • vor 10 Monaten

Two weeks in Japan. Hundreds of photos. One creative rabbit hole I couldn’t resist going down. Last year, I created a song as an experiment. I wanted to blend Japanese and English lyrics and see what kind of mood it would create. It turned into something atmospheric and different from anything I’d done before. Then my wife and I spent two incredible weeks in Japan late last year, and the experience stuck with me. Seeing the temples, shrines, and local shops while my wife and I wandered around Kyoto left a lasting impression. When I got back, I realized that the song needed a visual story. So I decided to build a full music video around it. I started by fleshing out the concept and writing a shot list like a real production. Then the fun began. What’s interesting is that many of the locations you see in the video actually started as photos I took while my wife and I wandered around Kyoto. Those images became the foundation for the environments that were later generated and brought to life with AI. It was a fascinating, creative process. Part music creation, part photography, part storytelling, and part AI experimentation. Tools used in the process: Nano Banana Pro (Google Flow) – for image generation Midjourney (Midjourney) – for additional image creation Google VEO3 (Google Flow) – for video generation Kling 3.0 (Kling AI) – for video generation Final Cut Pro (Apple) – for editing SUNO (Suno) – for song generation Amazing how far the creative toolset has come. If you have an idea in your head, you can now actually build it! Take a minute to watch Rain + Light (雨と光) and tell me what stood out to you. Would love to hear your feedback.
4:02

Two weeks in Japan. Hundreds of photos. One creative rabbit hole I couldn’t resist going down. Last year, I created a song as an experiment. I wanted to blend Japanese and English lyrics and see what kind of mood it would create. It turned into something atmospheric and different from anything I’d done before. Then my wife and I spent two incredible weeks in Japan late last year, and the experience stuck with me. Seeing the temples, shrines, and local shops while my wife and I wandered around Kyoto left a lasting impression. When I got back, I realized that the song needed a visual story. So I decided to build a full music video around it. I started by fleshing out the concept and writing a shot list like a real production. Then the fun began. What’s interesting is that many of the locations you see in the video actually started as photos I took while my wife and I wandered around Kyoto. Those images became the foundation for the environments that were later generated and brought to life with AI. It was a fascinating, creative process. Part music creation, part photography, part storytelling, and part AI experimentation. Tools used in the process: Nano Banana Pro (Google Flow) – for image generation Midjourney (Midjourney) – for additional image creation Google VEO3 (Google Flow) – for video generation Kling 3.0 (Kling AI) – for video generation Final Cut Pro (Apple) – for editing SUNO (Suno) – for song generation Amazing how far the creative toolset has come. If you have an idea in your head, you can now actually build it! Take a minute to watch Rain + Light (雨と光) and tell me what stood out to you. Would love to hear your feedback.

Chip – onthechain.io

13,399 Aufrufe • vor 5 Monaten

Cinematic city transitions. Perfect cuts. Zero traditional video editing. Everything you’re watching is AI. Tools: - Kling 2.5 Turbo - Nano Banana Pro - ChatGPT 4 STEP TUTORIAL: 1️⃣: Design your concept Brainstorm with ChatGPT the type of “vibe” you want your images/video to capture. I landed on “Cinematic Urban Melancholy” for my overall Visual Theme. 2️⃣: Generate Images with Nano Banana 🍌 Use ChatGPT to generate nano-banana-ready prompts for each of the 5 images in your setting. 3️⃣: Generate AI Transitions Navigate to Kling and select AI Video Generator Upload your start frame (image 1) + end frame (image 2) Prompt for a “seamless cinematic transition between scenes”. You’ll need to iterate on your prompt until the result matches your vision. Be specific about motion, style, and mood. 4️⃣: Polish Import everything into your editor (I use CapCut). Add speed / slowdown. And most importantly, add sound design. Music and SFX sell the visuals. Bookmark this and try it out yourself! If you want the exact prompts I'm using to generate these transitions: Follow, RT, & comment 'PROMPTS' below. I'll dm them to you (must be following so i can message)
0:27

Cinematic city transitions. Perfect cuts. Zero traditional video editing. Everything you’re watching is AI. Tools: - Kling 2.5 Turbo - Nano Banana Pro - ChatGPT 4 STEP TUTORIAL: 1️⃣: Design your concept Brainstorm with ChatGPT the type of “vibe” you want your images/video to capture. I landed on “Cinematic Urban Melancholy” for my overall Visual Theme. 2️⃣: Generate Images with Nano Banana 🍌 Use ChatGPT to generate nano-banana-ready prompts for each of the 5 images in your setting. 3️⃣: Generate AI Transitions Navigate to Kling and select AI Video Generator Upload your start frame (image 1) + end frame (image 2) Prompt for a “seamless cinematic transition between scenes”. You’ll need to iterate on your prompt until the result matches your vision. Be specific about motion, style, and mood. 4️⃣: Polish Import everything into your editor (I use CapCut). Add speed / slowdown. And most importantly, add sound design. Music and SFX sell the visuals. Bookmark this and try it out yourself! If you want the exact prompts I'm using to generate these transitions: Follow, RT, & comment 'PROMPTS' below. I'll dm them to you (must be following so i can message)

David Roberts

230,505 Aufrufe • vor 7 Monaten

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.
0:46

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 Aufrufe • vor 3 Monaten

DŌKYŌ: A Three-Minute-Long Single-Take Short Film Made with AI We can agree that Bytedance Seedance 2.0 totally changed how people create videos. Omni mode enabled faster creation of short films, solo creators making feature-length films, and you can create a 15-second commercial in one shot with a single prompt. But it also opened the door to long, continuous takes, which were not possible. Usually the length of a generated clip is limited to 8–15 seconds. Of course some people tried to cheat around this limitation by doing last frame first frame generation and stitching, but it breaks the camera movement and the pace of the actions. With Seedance, it was very different: instead of fighting the engine I was able to think about what I would like to see, instead of what are the limitations. I planned the framing, the camera movement, the action, and built the three-minute sequence step by step. Of course, this means if you later realize that something is wrong three or four sections earlier, you have to redo everything that follows. Visually, I wanted to maintain a very cinematic, low contrast, grainy, soft look, siilar to an expired 8mm or 16mm film, so there was no upscaling, rather the opposite: softening the image in every possible way. #DreaminaCPP Dreamina AI
2:49

DŌKYŌ: A Three-Minute-Long Single-Take Short Film Made with AI We can agree that Bytedance Seedance 2.0 totally changed how people create videos. Omni mode enabled faster creation of short films, solo creators making feature-length films, and you can create a 15-second commercial in one shot with a single prompt. But it also opened the door to long, continuous takes, which were not possible. Usually the length of a generated clip is limited to 8–15 seconds. Of course some people tried to cheat around this limitation by doing last frame first frame generation and stitching, but it breaks the camera movement and the pace of the actions. With Seedance, it was very different: instead of fighting the engine I was able to think about what I would like to see, instead of what are the limitations. I planned the framing, the camera movement, the action, and built the three-minute sequence step by step. Of course, this means if you later realize that something is wrong three or four sections earlier, you have to redo everything that follows. Visually, I wanted to maintain a very cinematic, low contrast, grainy, soft look, siilar to an expired 8mm or 16mm film, so there was no upscaling, rather the opposite: softening the image in every possible way. #DreaminaCPP Dreamina AI

László Gaál

20,130 Aufrufe • vor 1 Monat

Fable 5 and GPT-5.6 built the same scroll-animated website from one skill in 32 minutes. Only one of them made it feel like a film. Same prompt. Boutique Japan travel brand, origami style. A subway pulls in, a paper house unfolds into a hotel, a bird takes flight as you scroll. Doing this by hand is brutal, so the skill handles everything automatically. Here is how it works: → One anchor image sets the visual style and every scene that follows inherits it automatically → Higgsfield generates the video straight from the terminal through the MCP connection, no manual exporting → FFmpeg rips every frame out of the generated video automatically → Each frame then gets mapped to a scroll position so your scrollbar literally becomes the playhead The verdict came down to transitions. GPT-5.6 built strong individual scenes with incredible detail inside each one, but then hard-cut between them with no connection. Fable 5 stitched everything together. Wires push out of the top of the frame while the next scene blurs in behind it, gains depth and locks into place seamlessly. Same skill, same prompts, 10 generations each from both models. GPT-5.6 built 4 scenes. Fable 5 built one continuous film. Credit: Chase AI
9:48

Fable 5 and GPT-5.6 built the same scroll-animated website from one skill in 32 minutes. Only one of them made it feel like a film. Same prompt. Boutique Japan travel brand, origami style. A subway pulls in, a paper house unfolds into a hotel, a bird takes flight as you scroll. Doing this by hand is brutal, so the skill handles everything automatically. Here is how it works: → One anchor image sets the visual style and every scene that follows inherits it automatically → Higgsfield generates the video straight from the terminal through the MCP connection, no manual exporting → FFmpeg rips every frame out of the generated video automatically → Each frame then gets mapped to a scroll position so your scrollbar literally becomes the playhead The verdict came down to transitions. GPT-5.6 built strong individual scenes with incredible detail inside each one, but then hard-cut between them with no connection. Fable 5 stitched everything together. Wires push out of the top of the frame while the next scene blurs in behind it, gains depth and locks into place seamlessly. Same skill, same prompts, 10 generations each from both models. GPT-5.6 built 4 scenes. Fable 5 built one continuous film. Credit: Chase AI

0xMarioNawfal

48,091 Aufrufe • vor 1 Monat