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Introducing Seedance 1.5 - Unlimited on OpenArt · Director-Level Camera Control · Cinematic continuity across sound, shots, emotion · Fully voiced: same timbre, multilingual, matched BGM Want an official production-grade prompt guide? Follow + RT + reply “prompt” = guide in DM

OpenArt

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107,875 просмотров • 6 месяцев назад •via X (Twitter)

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AI × filmmaking just hit the next level. UNLIMITED Wan 2.6 on OpenArt • Multi-shot control • Up to 15s cinematic consistency • Fraction of the price Want copy-paste cinematic storyboard prompt pack? ✅ Follow + RT + reply “prompt” = prompts in DM

AI × filmmaking just hit the next level. UNLIMITED Wan 2.6 on OpenArt • Multi-shot control • Up to 15s cinematic consistency • Fraction of the price Want copy-paste cinematic storyboard prompt pack? ✅ Follow + RT + reply “prompt” = prompts in DM

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Unlimited Kling 3.0 just dropped on OpenArt - 15s ultra-long multi-shot generation + editing - Locked character consistency across scenes - Native audio + tone control One model. One platform. Full film studio energy QT + follow + reply “Kling3.0” = Official Kling 3.0 guide in DM

Unlimited Kling 3.0 just dropped on OpenArt - 15s ultra-long multi-shot generation + editing - Locked character consistency across scenes - Native audio + tone control One model. One platform. Full film studio energy QT + follow + reply “Kling3.0” = Official Kling 3.0 guide in DM

OpenArt

70,760 просмотров • 5 месяцев назад

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you *direct* the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you direct the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

Kuria | AI

43,685 просмотров • 2 месяцев назад

$26k+/day ads are using formats like this boyfriend blind scent tests on camera real reactions, no overthinking, pure curiosity it feels like content, not marketing claude writes the flow and dialogue seedance turns it into realistic clips instantly no creators to coordinate no reshoots or production delays just prompt → interaction → ready to run same format reused across products different couples, reactions, outcomes every time one idea becomes dozens of videos fast that’s why these scale so easily rt + comment “scent” and i’ll send the setup (follow for dm)

$26k+/day ads are using formats like this boyfriend blind scent tests on camera real reactions, no overthinking, pure curiosity it feels like content, not marketing claude writes the flow and dialogue seedance turns it into realistic clips instantly no creators to coordinate no reshoots or production delays just prompt → interaction → ready to run same format reused across products different couples, reactions, outcomes every time one idea becomes dozens of videos fast that’s why these scale so easily rt + comment “scent” and i’ll send the setup (follow for dm)

Alessandro

16,352 просмотров • 2 месяцев назад

We’re introducing Zopia — an end-to-end AI Video Director Agent for Film-grade creation. One idea + Zopia = a cinematic blockbuster. Zopia intelligently orchestrates leading models, enabling one-stop creation of AI Short Dramas, Films, Branded videos and more.. Through conversational multi-Agent + Skills coordination, you bring a story — Zopia delivers the finished film. An industry-level filmmaking pipeline: Script → Storyboard → Multi-shot Generation → Final Edit. Zopia solves the hardest problems in AI filmmaking: shot continuity, character consistency, and multi-scene alignment. Fully optimized for Kling 3 and Vidu Q3, Zopia produces realistic live-action scenes and coherent cinematic storyboards. Seedance 2.0 integration is coming soon — unlocking even greater expressive power. Zopia can be triggered by OpenClaw and other Bots for 24/7 automated production. You imagine. We produce.

We’re introducing Zopia — an end-to-end AI Video Director Agent for Film-grade creation. One idea + Zopia = a cinematic blockbuster. Zopia intelligently orchestrates leading models, enabling one-stop creation of AI Short Dramas, Films, Branded videos and more.. Through conversational multi-Agent + Skills coordination, you bring a story — Zopia delivers the finished film. An industry-level filmmaking pipeline: Script → Storyboard → Multi-shot Generation → Final Edit. Zopia solves the hardest problems in AI filmmaking: shot continuity, character consistency, and multi-scene alignment. Fully optimized for Kling 3 and Vidu Q3, Zopia produces realistic live-action scenes and coherent cinematic storyboards. Seedance 2.0 integration is coming soon — unlocking even greater expressive power. Zopia can be triggered by OpenClaw and other Bots for 24/7 automated production. You imagine. We produce.

Zopia AI

294,079 просмотров • 4 месяцев назад

This Google Veo 3 "frames to video" feature is pure genius 💡 If you're creating video ads, this Veo 3 technique gives you surgical control over every scene element. This frames-to-video feature will take any static product shot... And turn it into cinematic reels with precise camera movements & timing. Perfect for creative strategists, agencies, and DTC operators running video campaigns. But instead of hoping AI generates what you hope for... Just upload your reference image and get exact scene control in minutes. The game-changer? Your static assets become dynamic video gold → organized by camera moves, action sequences, & precise timing control. Here's what frames-to-video gives you: → upload any product reference image → add numbered annotations for camera movements → structure scene directions (I use JSON for precision) → set duration, fps, lighting specs → get frame-perfect video execution → no video shooting or expensive production needed Now you've got director-level control from single images. These HexClad reels were generated from two static product shots + a JSON prompt for each. When your campaign needs cinematic quality but you only have product photos? This frames-to-video workflow changes everything. And it's only getting better Want my full annotation setup guide, including the JSON prompts? Comment "FRAMES" + follow and I'll send it over (must be following/connected so I can DM)

This Google Veo 3 "frames to video" feature is pure genius 💡 If you're creating video ads, this Veo 3 technique gives you surgical control over every scene element. This frames-to-video feature will take any static product shot... And turn it into cinematic reels with precise camera movements & timing. Perfect for creative strategists, agencies, and DTC operators running video campaigns. But instead of hoping AI generates what you hope for... Just upload your reference image and get exact scene control in minutes. The game-changer? Your static assets become dynamic video gold → organized by camera moves, action sequences, & precise timing control. Here's what frames-to-video gives you: → upload any product reference image → add numbered annotations for camera movements → structure scene directions (I use JSON for precision) → set duration, fps, lighting specs → get frame-perfect video execution → no video shooting or expensive production needed Now you've got director-level control from single images. These HexClad reels were generated from two static product shots + a JSON prompt for each. When your campaign needs cinematic quality but you only have product photos? This frames-to-video workflow changes everything. And it's only getting better Want my full annotation setup guide, including the JSON prompts? Comment "FRAMES" + follow and I'll send it over (must be following/connected so I can DM)

Mike Futia

39,793 просмотров • 11 месяцев назад

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.

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.

Latte

167,558 просмотров • 5 месяцев назад

most people struggle to generate human faces consistently on seedance 2.0, especially when relying on character sheets a lot of the time, the system rejects it or the face breaks across scenes so I built a workflow that uses a base image as the anchor instead this keeps the face clean, natural, and consistent while still giving you full control for cinematic shots it’s a small change, but it makes a huge difference when working with human characters another thing I’ve learned, instead of generating scene by scene (which burns a lot of credits), it’s much more efficient to build multiple moments inside one 15s generation you can guide each second with slightly different prompt directions, then refine the final result with manual cut-to-cut editing this way you get more usable footage in one go and still keep control in post try it here: FLORA © #FLORATechnique

most people struggle to generate human faces consistently on seedance 2.0, especially when relying on character sheets a lot of the time, the system rejects it or the face breaks across scenes so I built a workflow that uses a base image as the anchor instead this keeps the face clean, natural, and consistent while still giving you full control for cinematic shots it’s a small change, but it makes a huge difference when working with human characters another thing I’ve learned, instead of generating scene by scene (which burns a lot of credits), it’s much more efficient to build multiple moments inside one 15s generation you can guide each second with slightly different prompt directions, then refine the final result with manual cut-to-cut editing this way you get more usable footage in one go and still keep control in post try it here: FLORA © #FLORATechnique

DStudioproject

23,372 просмотров • 3 месяцев назад

Higgsfield MCP + Codex is f*cking wild 🤯 Here's how you can generate 17 on-brand Amazon listing images by uploading one product photo. One plain-English prompt, zero manual generation. All inside the Codex app. Perfect for DTC brands and agencies who need production-quality product shots without booking a shoot or briefing a designer. If you're prompting image generators one shot at a time: Tweaking the lighting, adjusting the angle, re-running generations until something usable comes out. This combination eliminates the entire loop: → Install the Higgsfield CLI and add the skills to Codex in 5 minutes → Drop one product photo into your project folder → Type one prompt: "make me Amazon listing images — hero, lifestyle, detail, angles" → Codex interprets it, Higgsfield skills fire automatically → Finished images land in an organized folder on your machine No manual prompt tweaking. No re-running generations. No briefing a designer. What you get: → Production-quality listing images from a single product photo → Lighting, angles, and reflections handled automatically → Everything organized into folders locally on your machine → A pipeline that runs in minutes, not days Setup takes five minutes. I put together a full guide showing the exact install, the skills setup, and the prompt to run it yourself. Want it for free? > Like this post > Comment "CODEX" And I'll send it over (must be following so I can DM)

Mike Futia

12,720 просмотров • 1 месяц назад

Veo 3.1 is now live on invideo. We’re one of the first official partners worldwide to launch Veo 3.1. The Google Cloud team gave us early access, and it changes everything. Veo 3.1 upgrades what creators actually care about: visual quality, motion realism, and prompt responsiveness. But the real breakthrough is in control: → You can now define a start and end frame and Veo 3.1 builds everything between them with perfect flow. → You can lock a character’s look across scenes. → You can merge multiple references into one coherent world. When that power meets invideo, it turns from generation into storytelling. Because invideo isn’t just an AI video generator, it’s a full-stack AI production house at your disposal. It makes over 300 creative decisions across editing, scripting, visuals, sound, and voiceover to craft videos like a full-scale production team would. Ad films, brand spots, social content, cinematic stories, all created with the precision of a studio team, at the speed of thought. Watch how Veo 3.1 inside invideo turns imagination into cinematic magic👇

Sanket Shah

558,983 просмотров • 9 месяцев назад

Created this race using GPT Image 2 and Seedance 2.0 on TapNow Prompt Follow the storyboard strictly in exact order from Panel 1 to Panel 9. Do not skip, merge, or rearrange scenes. Keep the SAME female cyclist identity across the entire film. No face changes, no hairstyle changes, no helmet changes, no body proportion inconsistencies. Baby pink must remain the dominant apparel color throughout all cycling scenes. Avoid black wardrobe replacements. Preserve realistic nighttime lighting continuity between shots. Maintain the same cool blue tones and subtle red light reflections. Heavy rain intensity must stay visually consistent across all scenes. Water physics must look physically accurate: droplets, splashes, mist, wheel spray, and runoff should behave naturally. Avoid artificial AI motion. Camera movement should feel like real cinema rigs, FPV drones, mounted bike cameras, or stabilized tracking systems. Drone shots must maintain locked framing and smooth movement without random drifting or orbiting. Use subtle cinematic motion only — no excessive shaking or jitter. Keep realistic breathing, body fatigue, pedaling mechanics, and fabric reactions to wind and rain. Preserve shallow depth of field in macro shots and atmospheric haze in wide shots. Keep the environment dark, moody, and cinematic with strong contrast between wet reflections and darkness. Ensure all reflections on asphalt, water droplets, and bike components react naturally to changing light sources. Maintain premium commercial pacing: slow controlled preparation and macro shots transitioning into aggressive high-speed riding sequences. Final output should resemble a high-budget Nike / Rapha night cycling commercial shot during a real mountain storm. Ultra-realistic cinematic night cycling commercial about female endurance cyclists riding through an intense rainstorm in the mountains at night. Premium Nike / Rapha aesthetic with baby pink performance cycling apparel as the dominant accent color. Hyper-realistic documentary look, no stylization, no anime look, no beauty filters. Natural skin texture, realistic rain interaction, physically accurate water behavior, cinematic low-key lighting, cool blue night tones mixed with subtle red rear-light reflections. Heavy rain, fog, wet asphalt reflections, cinematic motion blur, high dynamic range, shallow depth of field, premium sports commercial quality. The film follows a strict 9-panel storyboard structure with seamless cinematic transitions and continuity preserved across every scene. The SAME female cyclist identity must remain consistent throughout the entire video: same face, helmet, glasses, body proportions, baby pink apparel, lighting style, and overall appearance. Maintain continuity of rain intensity, wetness, fog density, and environmental lighting between all shots. Panel 1: Extreme macro close-up of the female cyclist’s eyes and face in heavy rain at night. Focus on soaked eyelashes, wet skin texture, raindrops streaming across the face, baby pink helmet and baby pink face mask visible. Red rear bike light flickers dynamically across her eyes and skin while cool blue night tones dominate the scene. High contrast cinematic lighting, shallow depth of field, subtle breathing motion, intense determined expression. Panel 2: Cinematic medium close-up frontal shot of the cyclist riding aggressively through heavy rain at night. She pedals hard with strong effort and forward-leaning posture. Baby pink waterproof cycling jacket soaked with rainwater. Front bike light cuts through fog and rain with subtle flickering illumination. Wet asphalt reflects red and white lights. Smooth cinematic tracking shot with controlled stable motion and slight natural float. Panel 3: Ultra-realistic macro shot of large raindrops impacting wet asphalt at night. Crown-shaped splashes and overlapping ripples in slow motion. Rough wet asphalt texture, cool blue cinematic tones, subtle reflections from bike lights.

Created this race using GPT Image 2 and Seedance 2.0 on TapNow Prompt Follow the storyboard strictly in exact order from Panel 1 to Panel 9. Do not skip, merge, or rearrange scenes. Keep the SAME female cyclist identity across the entire film. No face changes, no hairstyle changes, no helmet changes, no body proportion inconsistencies. Baby pink must remain the dominant apparel color throughout all cycling scenes. Avoid black wardrobe replacements. Preserve realistic nighttime lighting continuity between shots. Maintain the same cool blue tones and subtle red light reflections. Heavy rain intensity must stay visually consistent across all scenes. Water physics must look physically accurate: droplets, splashes, mist, wheel spray, and runoff should behave naturally. Avoid artificial AI motion. Camera movement should feel like real cinema rigs, FPV drones, mounted bike cameras, or stabilized tracking systems. Drone shots must maintain locked framing and smooth movement without random drifting or orbiting. Use subtle cinematic motion only — no excessive shaking or jitter. Keep realistic breathing, body fatigue, pedaling mechanics, and fabric reactions to wind and rain. Preserve shallow depth of field in macro shots and atmospheric haze in wide shots. Keep the environment dark, moody, and cinematic with strong contrast between wet reflections and darkness. Ensure all reflections on asphalt, water droplets, and bike components react naturally to changing light sources. Maintain premium commercial pacing: slow controlled preparation and macro shots transitioning into aggressive high-speed riding sequences. Final output should resemble a high-budget Nike / Rapha night cycling commercial shot during a real mountain storm. Ultra-realistic cinematic night cycling commercial about female endurance cyclists riding through an intense rainstorm in the mountains at night. Premium Nike / Rapha aesthetic with baby pink performance cycling apparel as the dominant accent color. Hyper-realistic documentary look, no stylization, no anime look, no beauty filters. Natural skin texture, realistic rain interaction, physically accurate water behavior, cinematic low-key lighting, cool blue night tones mixed with subtle red rear-light reflections. Heavy rain, fog, wet asphalt reflections, cinematic motion blur, high dynamic range, shallow depth of field, premium sports commercial quality. The film follows a strict 9-panel storyboard structure with seamless cinematic transitions and continuity preserved across every scene. The SAME female cyclist identity must remain consistent throughout the entire video: same face, helmet, glasses, body proportions, baby pink apparel, lighting style, and overall appearance. Maintain continuity of rain intensity, wetness, fog density, and environmental lighting between all shots. Panel 1: Extreme macro close-up of the female cyclist’s eyes and face in heavy rain at night. Focus on soaked eyelashes, wet skin texture, raindrops streaming across the face, baby pink helmet and baby pink face mask visible. Red rear bike light flickers dynamically across her eyes and skin while cool blue night tones dominate the scene. High contrast cinematic lighting, shallow depth of field, subtle breathing motion, intense determined expression. Panel 2: Cinematic medium close-up frontal shot of the cyclist riding aggressively through heavy rain at night. She pedals hard with strong effort and forward-leaning posture. Baby pink waterproof cycling jacket soaked with rainwater. Front bike light cuts through fog and rain with subtle flickering illumination. Wet asphalt reflects red and white lights. Smooth cinematic tracking shot with controlled stable motion and slight natural float. Panel 3: Ultra-realistic macro shot of large raindrops impacting wet asphalt at night. Crown-shaped splashes and overlapping ripples in slow motion. Rough wet asphalt texture, cool blue cinematic tones, subtle reflections from bike lights.

Sharon Riley

72,716 просмотров • 2 месяцев назад

$Hermes + Claude + Higgsfield MCP + ViralBuilder = 💰💰💰 Four tools. One prompt chain. Hook to finished video in 10 minutes. I built a Claude skill that writes shot-by-shot Higgsfield prompts from a single creative brief. ViralBuilder tells you what's winning. The skill turns it into a production-ready prompt. Higgsfield renders it. No creative director. No guessing. No separate tools. Here is the setup: Higgsfield MCP → Open Claude Code → Settings → Connectors → Enter: → Connect your account Hermes → The agent layer running underneath Claude Code → It holds your skills, crons, memory, and routing rules → When you prompt Claude, Hermes feeds it the context it needs ViralBuilder (like Gethookd) → The winning ecom video database → Scrapes top performing ecom videos across platforms → Claude reads the data and extracts what styles, hooks, and formats are actually scaling The skill: video-prompt-builder → Installed inside Claude via Hermes → Takes a creative brief and outputs a full shot-by-shot prompt → Covers camera work, effects, transitions, pacing, and energy arc → Every output is structured for Higgsfield to render without ambiguity No switching apps. No export steps. Everything runs from one place. ▸ FIND WINNING CREATIVE ANGLES ViralBuilder tells you what the market already validated. Claude reads it and extracts the pattern. Prompts to run: "Search ViralBuilder for the top performing ecom videos in [niche] over the last 21 days. Extract the 3 dominant hook styles and rank by view velocity." "Pull the winning video formats in [niche] from ViralBuilder. Which opening 3 seconds appears most across videos spending over $10k?" "Find what video style is scaling right now in [niche] for the US market. UGC, talking head, or product demo. Filter for videos with over 1M views." "Pull the last 30 days of viral ecom hooks in [niche] from ViralBuilder. Cluster by emotional trigger. Which cluster has the most longevity?" You are not guessing at angles. You are reading what the market already spent money validating. ▸ BUILD THE PROMPT WITH THE SKILL This is where the video-prompt-builder skill takes over. You give Claude the winning angle. The skill outputs a complete shot-by-shot prompt with effects, transitions, pacing, and energy arc ready to fire into Higgsfield. Prompts to run: "Use the video-prompt-builder skill. Brief: 15-second UGC ad for [product] in [niche]. Hook style: [style from ViralBuilder]. Tone: direct to camera, US English. Output the full shot-by-shot effects timeline, effects inventory, density map, and energy arc." "Use the video-prompt-builder skill. The dominant hook in [niche] this week is [hook]. Build a 10-second product video prompt that opens with a speed ramp into a close-up product reveal. Include a signature visual effect and a low-density CTA landing." "Use the video-prompt-builder skill. Brief: replicate the pacing and energy of a [style description] video for [product]. Target duration: 20 seconds. Output all four sections. Then generate the video with Higgsfield using the shot-by-shot prompt." The skill outputs four sections every time: → Shot-by-shot effects timeline with camera, movement, and transitions per shot → Master effects inventory showing every technique used and where → Effects density map showing high, medium, and low intensity across the timeline → Energy arc describing how the video opens, builds, and lands That output goes directly into Higgsfield. No rewriting. No translating. ▸ GENERATE THE CREATIVE Claude writes the brief via the skill. Higgsfield MCP builds the video. Both happen in the same session. Prompts to run: "Use the video-prompt-builder skill to write a 15-second UGC prompt for [product]. Hook in the first 3 seconds, speed ramp into product reveal, slow-motion CTA landing. Then generate with Higgsfield in 9:16 format." "Build 3 prompt variations on this winning angle: [angle]. Each variation opens with a different effect — speed ramp, digital zoom, whip pan. Use the video-prompt-builder skill for each. Then generate all three with Higgsfield." "Use the video-prompt-builder skill. Brief: problem-solution ad for [product], 20 seconds, US market. Problem shot at high density, product reveal at medium, result and CTA at low. Generate with Higgsfield in 9:16." No separate tool. No file transfer. The video comes back in the same thread. ▸ CHAIN THE WHOLE STACK One prompt. All four tools firing together. "You are my ad creative director. Hermes has loaded my brand context. Pull the top performing video style in [niche] from ViralBuilder this week. Use the video-prompt-builder skill to write a full shot-by-shot prompt for [product] that replicates that style — 20 seconds, 9:16, US market, hook in the first 3 seconds. Output the effects timeline, inventory, density map, and energy arc. Then generate the video with Higgsfield." That single prompt replaces a half-day of production. The math before this stack: Brief: 30 minutes Script: 1 hour Creative production: 2 to 3 hours Agency or freelancer cost: $500 to $2,000 per creative With this stack: Hook to finished creative: 10 minutes Cost per creative: tool subscription, a fraction of agency rate 5 product tests in the time it used to take to brief one Bad product tests are where US ad budget disappears. $600 to $1,500 per failed test, before you even know if the angle works. This stack shows you what the market already validated before you spend a dollar on production. Hermes = your context layer. Brand, goals, past performance. Claude is always informed. ViralBuilder = your winning video database. See exactly what styles, hooks, and formats are scaling before you produce anything. video-prompt-builder skill = the translation layer. Turns a creative brief into a structured, production-ready Higgsfield prompt every time. Claude = the brain. Reads the market, writes the brief, chains the tools. Higgsfield MCP = the output. Video generated directly from the prompt. No export step. Four tools. One session. 10 minutes. Comment + RT "STACK" and I'll DM you the full workflow + the video-prompt-builder skill file.$

Hermes + Claude + Higgsfield MCP + ViralBuilder = 💰💰💰 Four tools. One prompt chain. Hook to finished video in 10 minutes. I built a Claude skill that writes shot-by-shot Higgsfield prompts from a single creative brief. ViralBuilder tells you what's winning. The skill turns it into a production-ready prompt. Higgsfield renders it. No creative director. No guessing. No separate tools. Here is the setup: Higgsfield MCP → Open Claude Code → Settings → Connectors → Enter: → Connect your account Hermes → The agent layer running underneath Claude Code → It holds your skills, crons, memory, and routing rules → When you prompt Claude, Hermes feeds it the context it needs ViralBuilder (like Gethookd) → The winning ecom video database → Scrapes top performing ecom videos across platforms → Claude reads the data and extracts what styles, hooks, and formats are actually scaling The skill: video-prompt-builder → Installed inside Claude via Hermes → Takes a creative brief and outputs a full shot-by-shot prompt → Covers camera work, effects, transitions, pacing, and energy arc → Every output is structured for Higgsfield to render without ambiguity No switching apps. No export steps. Everything runs from one place. ▸ FIND WINNING CREATIVE ANGLES ViralBuilder tells you what the market already validated. Claude reads it and extracts the pattern. Prompts to run: "Search ViralBuilder for the top performing ecom videos in [niche] over the last 21 days. Extract the 3 dominant hook styles and rank by view velocity." "Pull the winning video formats in [niche] from ViralBuilder. Which opening 3 seconds appears most across videos spending over $10k?" "Find what video style is scaling right now in [niche] for the US market. UGC, talking head, or product demo. Filter for videos with over 1M views." "Pull the last 30 days of viral ecom hooks in [niche] from ViralBuilder. Cluster by emotional trigger. Which cluster has the most longevity?" You are not guessing at angles. You are reading what the market already spent money validating. ▸ BUILD THE PROMPT WITH THE SKILL This is where the video-prompt-builder skill takes over. You give Claude the winning angle. The skill outputs a complete shot-by-shot prompt with effects, transitions, pacing, and energy arc ready to fire into Higgsfield. Prompts to run: "Use the video-prompt-builder skill. Brief: 15-second UGC ad for [product] in [niche]. Hook style: [style from ViralBuilder]. Tone: direct to camera, US English. Output the full shot-by-shot effects timeline, effects inventory, density map, and energy arc." "Use the video-prompt-builder skill. The dominant hook in [niche] this week is [hook]. Build a 10-second product video prompt that opens with a speed ramp into a close-up product reveal. Include a signature visual effect and a low-density CTA landing." "Use the video-prompt-builder skill. Brief: replicate the pacing and energy of a [style description] video for [product]. Target duration: 20 seconds. Output all four sections. Then generate the video with Higgsfield using the shot-by-shot prompt." The skill outputs four sections every time: → Shot-by-shot effects timeline with camera, movement, and transitions per shot → Master effects inventory showing every technique used and where → Effects density map showing high, medium, and low intensity across the timeline → Energy arc describing how the video opens, builds, and lands That output goes directly into Higgsfield. No rewriting. No translating. ▸ GENERATE THE CREATIVE Claude writes the brief via the skill. Higgsfield MCP builds the video. Both happen in the same session. Prompts to run: "Use the video-prompt-builder skill to write a 15-second UGC prompt for [product]. Hook in the first 3 seconds, speed ramp into product reveal, slow-motion CTA landing. Then generate with Higgsfield in 9:16 format." "Build 3 prompt variations on this winning angle: [angle]. Each variation opens with a different effect — speed ramp, digital zoom, whip pan. Use the video-prompt-builder skill for each. Then generate all three with Higgsfield." "Use the video-prompt-builder skill. Brief: problem-solution ad for [product], 20 seconds, US market. Problem shot at high density, product reveal at medium, result and CTA at low. Generate with Higgsfield in 9:16." No separate tool. No file transfer. The video comes back in the same thread. ▸ CHAIN THE WHOLE STACK One prompt. All four tools firing together. "You are my ad creative director. Hermes has loaded my brand context. Pull the top performing video style in [niche] from ViralBuilder this week. Use the video-prompt-builder skill to write a full shot-by-shot prompt for [product] that replicates that style — 20 seconds, 9:16, US market, hook in the first 3 seconds. Output the effects timeline, inventory, density map, and energy arc. Then generate the video with Higgsfield." That single prompt replaces a half-day of production. The math before this stack: Brief: 30 minutes Script: 1 hour Creative production: 2 to 3 hours Agency or freelancer cost: $500 to $2,000 per creative With this stack: Hook to finished creative: 10 minutes Cost per creative: tool subscription, a fraction of agency rate 5 product tests in the time it used to take to brief one Bad product tests are where US ad budget disappears. $600 to $1,500 per failed test, before you even know if the angle works. This stack shows you what the market already validated before you spend a dollar on production. Hermes = your context layer. Brand, goals, past performance. Claude is always informed. ViralBuilder = your winning video database. See exactly what styles, hooks, and formats are scaling before you produce anything. video-prompt-builder skill = the translation layer. Turns a creative brief into a structured, production-ready Higgsfield prompt every time. Claude = the brain. Reads the market, writes the brief, chains the tools. Higgsfield MCP = the output. Video generated directly from the prompt. No export step. Four tools. One session. 10 minutes. Comment + RT "STACK" and I'll DM you the full workflow + the video-prompt-builder skill file.

Kid Pak

56,282 просмотров • 2 месяцев назад

GPT image 2 for storyboard and Seedence 2.0 for video on OpenArt In a village consumed by fear hope arrived with a sword. Prompt: Create a cinematic anime short film in a unified Demon Slayer / Jujutsu Kaisen inspired art style — apply this exact same visual style consistently to ALL characters and scenes without exception. Character Design (maintain throughout ALL scenes): Hero: Young male swordsman, late teens, athletic build, dark hair, determined eyes, traditional Japanese warrior outfit, katana at waist Child: Small baby girl, 2–3 years old, round face, big innocent eyes, simple village dress, same anime art style as the hero — no style deviation Story Structure: Opening — Close-up on hero's face receiving urgent message. Camera: low angle looking up at hero. Dramatic lighting. Journey — Hero running through dense forest and rocky mountains. Camera: dynamic tracking shot from side, then bird's eye view. Motion blur on feet. Village in Crisis — Wide establishing shot of burning village. Cut to medium shot of terrified villagers. Camera slowly pushes in. Monster threatening child — Monster looms over baby girl. Camera: monster POV looking down at child, then child POV looking up at monster. High contrast lighting. Hero Arrival — Hero leaps into frame from above. Slow motion sword strike. Camera: 360-degree rotating shot around hero. Battle Sequence — Intense fight, multiple camera angles: close-up on clashing sword, wide shot of full battle, low angle hero power move. Fluid motion, no flickering. Resolution — Monster defeated. Hero kneels down to baby girl's level. Soft warm lighting. Camera: gentle zoom out showing hero and child together, villagers in background. Ending — Hero sheathes sword, walks away. Camera: back shot of hero walking into sunset, villagers watching. Visual Rules (strict): One unified anime art style across ALL shots — hero and baby girl must look like they belong in the same animation Camera angle must change every scene — no repeated angles No slideshow transitions — use cinematic cuts and motion Warm golden lighting for resolution, cool blue for battle Pippit watermark visible in final composition Style: Epic fantasy anime, Demon Slayer quality, emotional storytelling, professional cinematic pacing

GPT image 2 for storyboard and Seedence 2.0 for video on OpenArt In a village consumed by fear hope arrived with a sword. Prompt: Create a cinematic anime short film in a unified Demon Slayer / Jujutsu Kaisen inspired art style — apply this exact same visual style consistently to ALL characters and scenes without exception. Character Design (maintain throughout ALL scenes): Hero: Young male swordsman, late teens, athletic build, dark hair, determined eyes, traditional Japanese warrior outfit, katana at waist Child: Small baby girl, 2–3 years old, round face, big innocent eyes, simple village dress, same anime art style as the hero — no style deviation Story Structure: Opening — Close-up on hero's face receiving urgent message. Camera: low angle looking up at hero. Dramatic lighting. Journey — Hero running through dense forest and rocky mountains. Camera: dynamic tracking shot from side, then bird's eye view. Motion blur on feet. Village in Crisis — Wide establishing shot of burning village. Cut to medium shot of terrified villagers. Camera slowly pushes in. Monster threatening child — Monster looms over baby girl. Camera: monster POV looking down at child, then child POV looking up at monster. High contrast lighting. Hero Arrival — Hero leaps into frame from above. Slow motion sword strike. Camera: 360-degree rotating shot around hero. Battle Sequence — Intense fight, multiple camera angles: close-up on clashing sword, wide shot of full battle, low angle hero power move. Fluid motion, no flickering. Resolution — Monster defeated. Hero kneels down to baby girl's level. Soft warm lighting. Camera: gentle zoom out showing hero and child together, villagers in background. Ending — Hero sheathes sword, walks away. Camera: back shot of hero walking into sunset, villagers watching. Visual Rules (strict): One unified anime art style across ALL shots — hero and baby girl must look like they belong in the same animation Camera angle must change every scene — no repeated angles No slideshow transitions — use cinematic cuts and motion Warm golden lighting for resolution, cool blue for battle Pippit watermark visible in final composition Style: Epic fantasy anime, Demon Slayer quality, emotional storytelling, professional cinematic pacing

𝗦𝗮𝗻𝗶𝗮

13,712 просмотров • 1 месяц назад

🚀 Introducing the Kling 3.0 Model: Everyone a Director. It’s Time. An all-in-one creative engine that enables truly native multimodal creation. - Superb Consistency: Your characters and elements, always locked in. - Flexible Video Production: Create 15s clips with precise control, excellent video realism and customizable multi-shots. - Upgraded Native Audio: Now supports multi-character reference, more languages and accents. - Enhanced Image Generation: 4K Image output, new image series mode and more cinematic visuals. Ultra subscribers get exclusive early access — now live on Web -> Kling AI. Get ready to unlock your creative potential with our most advanced model yet. [For the next 24 hours ONLY] Follow, Comment & Retweet to win exclusive early access - we will select 10 winners in this post from the top ten 'Most liked replies'. So which feature are you most excited about? Let us know in the comment! We will contact you via your DM.

🚀 Introducing the Kling 3.0 Model: Everyone a Director. It’s Time. An all-in-one creative engine that enables truly native multimodal creation. - Superb Consistency: Your characters and elements, always locked in. - Flexible Video Production: Create 15s clips with precise control, excellent video realism and customizable multi-shots. - Upgraded Native Audio: Now supports multi-character reference, more languages and accents. - Enhanced Image Generation: 4K Image output, new image series mode and more cinematic visuals. Ultra subscribers get exclusive early access — now live on Web -> Kling AI. Get ready to unlock your creative potential with our most advanced model yet. [For the next 24 hours ONLY] Follow, Comment & Retweet to win exclusive early access - we will select 10 winners in this post from the top ten 'Most liked replies'. So which feature are you most excited about? Let us know in the comment! We will contact you via your DM.

Kling AI

1,195,161 просмотров • 5 месяцев назад

Made with Seedance 2.0 Prompt: PART 1 (0:00–0:15) GLOBAL STYLE: Stylized 3D animation, cel shaded graphics, comic book rendering, Spider Verse inspired visual style, vibrant high contrast color palette, fluid dynamic motion, Unreal Engine 5 aesthetic, cinematic lighting, 4K quality. CHARACTER CONTINUITY: Stylized young male driver with wavy blonde hair, thick black glasses, short goatee, intricate black tattoo sleeves on both arms, black shirt, dark pants, brown loafers. VEHICLE CONTINUITY: Modified white 1990s Honda Integra, black brush stroke "46" side decal, glowing red underglow, deep dish rims, lowered stance, clean body kit. Keep the same car throughout. No logos or text changes. ENVIRONMENT: Neon lit New York inspired streets beneath elevated subway tracks at dusk, wet reflective asphalt, glowing storefronts, cinematic atmosphere. SEQUENCE: 0:00–0:05 Low angle tracking shot follows the driver walking confidently toward the parked white Honda Integra. The glowing red underglow reflects across the wet pavement. Close up of the tattooed hand pulling the door handle, entering the car, then turning the ignition key. Smooth cinematic transitions. 0:05–0:08 Macro shot of the exhaust pipe blasting thick stylized gray smoke. Quick cut to tattooed hands gripping the steering wheel tightly. Dashboard lights illuminate the driver's focused face. 0:08–0:11 Dashcam POV as the Integra rapidly accelerates beneath elevated train tracks. Neon storefronts streak past with heavy motion blur. Camera shakes naturally with speed. 0:11–0:15 Extreme close up of the driver's determined eyes reflected in the rearview mirror. Hard cut to an aggressive drift around a city corner. Thick tire smoke, glowing orange sparks from the wheels, vivid red underglow reflecting on the wet road. End with a cinematic action shot.

Made with Seedance 2.0 Prompt: PART 1 (0:00–0:15) GLOBAL STYLE: Stylized 3D animation, cel shaded graphics, comic book rendering, Spider Verse inspired visual style, vibrant high contrast color palette, fluid dynamic motion, Unreal Engine 5 aesthetic, cinematic lighting, 4K quality. CHARACTER CONTINUITY: Stylized young male driver with wavy blonde hair, thick black glasses, short goatee, intricate black tattoo sleeves on both arms, black shirt, dark pants, brown loafers. VEHICLE CONTINUITY: Modified white 1990s Honda Integra, black brush stroke "46" side decal, glowing red underglow, deep dish rims, lowered stance, clean body kit. Keep the same car throughout. No logos or text changes. ENVIRONMENT: Neon lit New York inspired streets beneath elevated subway tracks at dusk, wet reflective asphalt, glowing storefronts, cinematic atmosphere. SEQUENCE: 0:00–0:05 Low angle tracking shot follows the driver walking confidently toward the parked white Honda Integra. The glowing red underglow reflects across the wet pavement. Close up of the tattooed hand pulling the door handle, entering the car, then turning the ignition key. Smooth cinematic transitions. 0:05–0:08 Macro shot of the exhaust pipe blasting thick stylized gray smoke. Quick cut to tattooed hands gripping the steering wheel tightly. Dashboard lights illuminate the driver's focused face. 0:08–0:11 Dashcam POV as the Integra rapidly accelerates beneath elevated train tracks. Neon storefronts streak past with heavy motion blur. Camera shakes naturally with speed. 0:11–0:15 Extreme close up of the driver's determined eyes reflected in the rearview mirror. Hard cut to an aggressive drift around a city corner. Thick tire smoke, glowing orange sparks from the wheels, vivid red underglow reflecting on the wet road. End with a cinematic action shot.

Shore Lyn

32,881 просмотров • 11 дней назад

Can AI create a Hollywood-quality storyboard from just one prompt? This entire cinematic storyboard, from the seamless bridge shot to the final battle frame, was created with GPT Image 2 + Seedance 2.0 on TapNow The consistency in character design, camera angles, lighting, and storytelling makes it feel like a real film pre-production board. Would you watch "Last Light on Desolation Row" if it became a movie? Prompt: LAST LIGHT ON DESOLATION ROW 30-Second AI Video Prompt (Short Version) Style: IMAX cinematic, ultra-photorealistic, handheld realism, 4K HDR, shallow depth of field, natural lens breathing, gritty post-apocalyptic atmosphere, no music, realistic sound design only. Character (Locked): Asha Voss — Western female, late 20s, pale gray eyes, auburn hair beneath a weathered wide-brim hat with a silver band, scar above left brow, graphite-gray long duster, dark tactical clothing, steel-heeled boots. Calm, cold, fearless. Weapon (Locked): Crescent Chain Sickle — obsidian crescent blade with glowing violet cracks, woven-steel chain with violet energy nodes, geometric counterweight, violet energy trails while spinning. Enemies (Locked): Veil Crawlers — mirror-glass humanoids with backward-bending joints, glass-shard fingers, featureless reflective faces, ghost afterimages, signature reversed-glass sound. Environment (Locked): Collapsed American interstate highway at dusk, burnt vehicles, fallen overpasses, glowing amber asphalt fissures, drifting ash, copper-to-violet sky, dry wind, no rain. Part 1 – The Arrival (0–15s) Extreme macro of the Crescent Chain Sickle scraping glowing asphalt as violet cracks awaken. Whip pan to Asha Voss standing silently beneath her hat, then handheld tracking follows her through the ruined highway while the chain slides through her gloved hand. She suddenly stops after hearing reversed glass-breaking echoes. The first Veil Crawlers emerge between burnt vehicles. Close-up of her eyes reflecting violet light as she calmly releases the chain. The first and second violet energy nodes ignite, the weapon begins its first rotation— Hard Cut. Part 2 – The Hunt (15–30s) Open on the exact same frame where Part 1 ended. Continue the identical close-up as the second and third energy nodes ignite. The camera pulls back to reveal Asha dropping into her combat stance before charging into the Veil Crawler swarm. The Crescent Chain Sickle spins in brilliant violet arcs as she battles through the creatures. Macro shots highlight the weapon's mechanics before she vaults onto an overturned truck, creating a glowing vortex above the battlefield. She launches into the air, unleashing one massive violet sweep that shatters the swarm into mirror fragments. She lands calmly on one knee as the weapon slows, violet energy fades, ash drifts through the silent battlefield, and the screen fades to black. Negative Prompt: Do not change Asha's appearance, age, clothing, weapon, or environment between shots. Keep the same collapsed highway, copper-violet sky, and ash-filled atmosphere throughout. No anime, cartoons, daylight, rain, text, subtitles, logos, UI, music, or creature redesigns.

Can AI create a Hollywood-quality storyboard from just one prompt? This entire cinematic storyboard, from the seamless bridge shot to the final battle frame, was created with GPT Image 2 + Seedance 2.0 on TapNow The consistency in character design, camera angles, lighting, and storytelling makes it feel like a real film pre-production board. Would you watch "Last Light on Desolation Row" if it became a movie? Prompt: LAST LIGHT ON DESOLATION ROW 30-Second AI Video Prompt (Short Version) Style: IMAX cinematic, ultra-photorealistic, handheld realism, 4K HDR, shallow depth of field, natural lens breathing, gritty post-apocalyptic atmosphere, no music, realistic sound design only. Character (Locked): Asha Voss — Western female, late 20s, pale gray eyes, auburn hair beneath a weathered wide-brim hat with a silver band, scar above left brow, graphite-gray long duster, dark tactical clothing, steel-heeled boots. Calm, cold, fearless. Weapon (Locked): Crescent Chain Sickle — obsidian crescent blade with glowing violet cracks, woven-steel chain with violet energy nodes, geometric counterweight, violet energy trails while spinning. Enemies (Locked): Veil Crawlers — mirror-glass humanoids with backward-bending joints, glass-shard fingers, featureless reflective faces, ghost afterimages, signature reversed-glass sound. Environment (Locked): Collapsed American interstate highway at dusk, burnt vehicles, fallen overpasses, glowing amber asphalt fissures, drifting ash, copper-to-violet sky, dry wind, no rain. Part 1 – The Arrival (0–15s) Extreme macro of the Crescent Chain Sickle scraping glowing asphalt as violet cracks awaken. Whip pan to Asha Voss standing silently beneath her hat, then handheld tracking follows her through the ruined highway while the chain slides through her gloved hand. She suddenly stops after hearing reversed glass-breaking echoes. The first Veil Crawlers emerge between burnt vehicles. Close-up of her eyes reflecting violet light as she calmly releases the chain. The first and second violet energy nodes ignite, the weapon begins its first rotation— Hard Cut. Part 2 – The Hunt (15–30s) Open on the exact same frame where Part 1 ended. Continue the identical close-up as the second and third energy nodes ignite. The camera pulls back to reveal Asha dropping into her combat stance before charging into the Veil Crawler swarm. The Crescent Chain Sickle spins in brilliant violet arcs as she battles through the creatures. Macro shots highlight the weapon's mechanics before she vaults onto an overturned truck, creating a glowing vortex above the battlefield. She launches into the air, unleashing one massive violet sweep that shatters the swarm into mirror fragments. She lands calmly on one knee as the weapon slows, violet energy fades, ash drifts through the silent battlefield, and the screen fades to black. Negative Prompt: Do not change Asha's appearance, age, clothing, weapon, or environment between shots. Keep the same collapsed highway, copper-violet sky, and ash-filled atmosphere throughout. No anime, cartoons, daylight, rain, text, subtitles, logos, UI, music, or creature redesigns.

Shami

27,603 просмотров • 16 дней назад

chatgpt images 2.0 has been live for 24h so let's dig in how to use ChatGPT Images 2.0 to create product photos, brand books, UI mockups, and ad creative that actually looks real: 1. GPT Images 2.0 now does 2K resolution, 3:1 aspect ratios, and spits out 8 images per prompt. text rendering is way better across multiple languages. it also has thinking mode where it searches the web before generating. 2. the biggest lesson with images 2.0: you have to be extremely specific. if you give it a lazy prompt you get stock photos. give it camera type, lighting conditions, color palette, and subject details and it cooks. 3. product photography is where it shines. I created a full brand shoot for a skincare line. golden hour lighting, Mediterranean aesthetic, slight imperfections in the subjects. every image looked like a real photo shoot. 4. use it to create visual directions before you make video ads. I prompted 8 directions for the same Shopify ad story. Wes Anderson, Nike, cinematic, Apple shot on iPhone. the cinematic and Nike styles were the strongest. 5. UI mockups work now. give it your app, a feature description, the resolution, and say you want realistic data in every cell. it gave me four clean variations of a leaderboard screen. 6. apparel and merch: generate photorealistic product shots before you print anything. test if people would buy it before you spend money on production. 7. illustrations got a massive upgrade. editorial style, flat vector, limited color palettes. use these to make proposals, one-pagers, and decks look professional. 8. every business has four creative bottlenecks: marketing content, internal docs and decks, explaining things visually, and testing before building. Images 2.0 helps with all four. 9. five things you need in every prompt: context (what is this for), style references (name specific brands or aesthetics), palette (use hex codes), real copy (no lorem ipsum), and aspect ratios so it drops into production without rework. 10. use ChatGPT itself to help you write better prompts. you might not know camera types or lighting terms. ask it to help you build the prompt before you generate. also in this episode: I share a startup idea someone should steal: a learn to draw app with AI feedback on every sketch. $5/month. I put it into Claude Design and got three incredible wireframe directions. I share a framework for finding vertical AI agent businesses. find a boring pain point, map the workflow, do the job as a service first, document edge cases, then add agents to replace the steps. and I share an AI tool called No Scroll that blew me away in 5 minutes. it monitors the internet for you and texts you only what matters. the onboarding felt like talking to a real person. episode is live on The Startup Ideas Podcast (SIP) 🧃 (walkthrough, tips, prompts) im rooting for you, so share this with your friends and enjoy watch

GREG ISENBERG

70,968 просмотров • 2 месяцев назад

POV: The ghost chasing you, is actually your boyfriend. A horror investigation turns into the funniest plot twist you never saw coming. The ending is worth the wait. Made with GPT Image 2 and Seedance on TapNow Prompt: VIDEO PROMPT — "THE GHOST IN THE CARNIVAL" (30s Horror-Comedy Vlog Short, 16:9) — ROLES SWITCHED Style: Found footage horror • paranormal investigation vlog • cinematic suspense • horror-comedy twist. Setting: abandoned carnival at night. CHARACTER DESCRIPTIONS Maya (the vlogger): Early-20s girl, radiant and striking. Wears a flowing rainbow ombré dress — fabric transitioning from violet at the shoulders through blue, green, yellow, orange, to red at the hem, catching light with a subtle iridescent shimmer. Hair styled in the longer side braided into a thick rope braid streaked in matching rainbow pastel colors, small silver hoop earrings, soft glowing skin, bright hazel eyes with a curious, fearless sparkle. Carries a handheld camera and flashlight throughout. Same dress, hair, and gear consistent across every shot — no drift. Jake (the boyfriend / "the ghost"): Mid-20s, tall athletic build, tousled dark brown hair, strong jawline, warm brown eyes, light stubble, handsome and charming. Wears a fitted black bomber jacket over a grey henley, dark jeans, worn leather boots. Same face and outfit consistent across all appearances. Setting: Abandoned carnival at night — rusted ferris wheel silhouette against the moon, cracked funhouse mirrors, tattered circus tents flapping in wind, broken carousel horses frozen mid-gallop, flickering string lights barely holding power. Sound design: Low ambient horror BGM (creaking metal, distant wind chimes, faint off-key carousel melody) building tension throughout, swelling into a sharp orchestral stab at the jumpscare, then cutting to warm acoustic guitar strum for the comedic ending. CUT-SCENE BREAKDOWN (0:00–0:04) — ACT 1: The Investigation Found-footage handheld shot: Maya walks alone through the carnival gates, flashlight beam cutting through fog, camera slightly shaky, rainbow braid swaying. Rusted ferris wheel looms behind her, carousel horses frozen in the dark. Dialogue (Maya, to camera): "Alright guys… this place has been closed for like fifteen years. Let's see what we find." BGM: low ambient drone, distant creaking metal. (0:04–0:08) — ACT 2: The Warning Signs Maya walks past a row of cracked funhouse mirrors. In one mirror's reflection — barely visible in the background — a flash of a dark jacket flickers past, gone before she turns. She doesn't notice. Camera lingers a beat too long on the empty mirror. BGM: single high string note, tension rising. (0:08–0:12) — ACT 3: The Reveal Maya pushes into a tattered circus tent. Flashlight flickers. A pale face flashes directly behind her in frame — gone in a blink. She spins around, flashlight sweeping, rainbow dress catching the light. Dialogue (Maya, nervous): "...Okay, who's there?" BGM: dissonant sting. (0:12–0:16) — ACT 4: The Chase The figure appears directly behind Maya — full jumpscare, dark silhouette catching the light for a split second before vanishing. Maya bolts, camera shaking violently as she sprints between carousel horses, the figure flashing briefly in and out of frame from different angles. Dialogue (Maya, panicked): "Oh my god— OH MY GOD—" BGM: sharp orchestral hit, frantic percussion. (0:16–0:20) — ACT 5: The False Ending Maya ducks into the old ticket booth, slams the door shut behind her. Silence. Heavy breathing. She slides down against the door, flashlight shaking in her hand, camera catching her relieved exhale, braid falling loose over her shoulder. Dialogue (Maya, whispering): "Okay... okay, I think I lost it." BGM: music drops to near-silence, just her breathing and wind outside. (0:20–0:25) — ACT 6: The Twist Begins Behind Maya, unnoticed, a silhouette rises slowly in the booth's shadowed corner — tall frame stepping forward silently, closer, closer. Maya senses it, turns her flashlight up in dread. BGM: tension rebuilding, single sustained note. (0:25–0:30) — The Reveal & Comedy Twist The "ghost" steps into the light — it's Jake, grinning, hands raised in mock surrender. Maya freezes in shock, then bursts out laughing in relief, swatting his arm. Dialogue (Maya): "IS THAT YOU?! Jake, what the— I almost had a heart attack!" Dialogue (Jake, laughing): "You scream like a little girl, you know that?" BGM: sudden shift to warm, playful acoustic guitar strum. Hard cut to black. Text overlay: "Never bring your boyfriend to a horror investigation."

POV: The ghost chasing you, is actually your boyfriend. A horror investigation turns into the funniest plot twist you never saw coming. The ending is worth the wait. Made with GPT Image 2 and Seedance on TapNow Prompt: VIDEO PROMPT — "THE GHOST IN THE CARNIVAL" (30s Horror-Comedy Vlog Short, 16:9) — ROLES SWITCHED Style: Found footage horror • paranormal investigation vlog • cinematic suspense • horror-comedy twist. Setting: abandoned carnival at night. CHARACTER DESCRIPTIONS Maya (the vlogger): Early-20s girl, radiant and striking. Wears a flowing rainbow ombré dress — fabric transitioning from violet at the shoulders through blue, green, yellow, orange, to red at the hem, catching light with a subtle iridescent shimmer. Hair styled in the longer side braided into a thick rope braid streaked in matching rainbow pastel colors, small silver hoop earrings, soft glowing skin, bright hazel eyes with a curious, fearless sparkle. Carries a handheld camera and flashlight throughout. Same dress, hair, and gear consistent across every shot — no drift. Jake (the boyfriend / "the ghost"): Mid-20s, tall athletic build, tousled dark brown hair, strong jawline, warm brown eyes, light stubble, handsome and charming. Wears a fitted black bomber jacket over a grey henley, dark jeans, worn leather boots. Same face and outfit consistent across all appearances. Setting: Abandoned carnival at night — rusted ferris wheel silhouette against the moon, cracked funhouse mirrors, tattered circus tents flapping in wind, broken carousel horses frozen mid-gallop, flickering string lights barely holding power. Sound design: Low ambient horror BGM (creaking metal, distant wind chimes, faint off-key carousel melody) building tension throughout, swelling into a sharp orchestral stab at the jumpscare, then cutting to warm acoustic guitar strum for the comedic ending. CUT-SCENE BREAKDOWN (0:00–0:04) — ACT 1: The Investigation Found-footage handheld shot: Maya walks alone through the carnival gates, flashlight beam cutting through fog, camera slightly shaky, rainbow braid swaying. Rusted ferris wheel looms behind her, carousel horses frozen in the dark. Dialogue (Maya, to camera): "Alright guys… this place has been closed for like fifteen years. Let's see what we find." BGM: low ambient drone, distant creaking metal. (0:04–0:08) — ACT 2: The Warning Signs Maya walks past a row of cracked funhouse mirrors. In one mirror's reflection — barely visible in the background — a flash of a dark jacket flickers past, gone before she turns. She doesn't notice. Camera lingers a beat too long on the empty mirror. BGM: single high string note, tension rising. (0:08–0:12) — ACT 3: The Reveal Maya pushes into a tattered circus tent. Flashlight flickers. A pale face flashes directly behind her in frame — gone in a blink. She spins around, flashlight sweeping, rainbow dress catching the light. Dialogue (Maya, nervous): "...Okay, who's there?" BGM: dissonant sting. (0:12–0:16) — ACT 4: The Chase The figure appears directly behind Maya — full jumpscare, dark silhouette catching the light for a split second before vanishing. Maya bolts, camera shaking violently as she sprints between carousel horses, the figure flashing briefly in and out of frame from different angles. Dialogue (Maya, panicked): "Oh my god— OH MY GOD—" BGM: sharp orchestral hit, frantic percussion. (0:16–0:20) — ACT 5: The False Ending Maya ducks into the old ticket booth, slams the door shut behind her. Silence. Heavy breathing. She slides down against the door, flashlight shaking in her hand, camera catching her relieved exhale, braid falling loose over her shoulder. Dialogue (Maya, whispering): "Okay... okay, I think I lost it." BGM: music drops to near-silence, just her breathing and wind outside. (0:20–0:25) — ACT 6: The Twist Begins Behind Maya, unnoticed, a silhouette rises slowly in the booth's shadowed corner — tall frame stepping forward silently, closer, closer. Maya senses it, turns her flashlight up in dread. BGM: tension rebuilding, single sustained note. (0:25–0:30) — The Reveal & Comedy Twist The "ghost" steps into the light — it's Jake, grinning, hands raised in mock surrender. Maya freezes in shock, then bursts out laughing in relief, swatting his arm. Dialogue (Maya): "IS THAT YOU?! Jake, what the— I almost had a heart attack!" Dialogue (Jake, laughing): "You scream like a little girl, you know that?" BGM: sudden shift to warm, playful acoustic guitar strum. Hard cut to black. Text overlay: "Never bring your boyfriend to a horror investigation."

Shami

28,969 просмотров • 6 дней назад

One shirt. 10 outfits. Infinite possibilities. Which look are you wearing first? 👀👇 Made with Seedance 2.0 on BudgetPixel AI Prompt: > Create a trendy, ultra-realistic Instagram fashion reel featuring a stylish Gen Z female influencer showing **10 ways to style the same oversized pastel yellow button-up shirt**. No dialogue, only upbeat viral pop music with clean animated text labels for each look. Vertical 9:16. > > Open with the influencer holding the shirt on a hanger in a bright, minimalist apartment. She smiles at the camera and tosses the shirt forward as the text **"1 Shirt 🤍 10 Ways to Style"** appears. > > Fast-paced fashion montage with smooth whip pans, spin transitions, jump cuts, and snap transitions. > > Show these looks: > > 1. Casual Chic – open over a white crop top with wide-leg jeans. > 2. Front Knot – tied at the waist with denim. > 3. Off Shoulder – relaxed styling with sunglasses. > 4. Tucked In – tucked into tailored white trousers with a belt. > 5. Open with Denim Shorts – casual summer look with an iced coffee. > 6. Belted Chic – fully buttoned with a slim belt and black tailored trousers. > 7. Layered Dress – worn open over a fitted white midi dress. > 8. French Tuck – half-buttoned with rolled sleeves and relaxed jeans. > 9. Effortless Layers – draped over the shoulders with white linen trousers and a black tank. > 10. Monochrome Minimal – buttoned with cream wide-leg trousers for a clean luxury look. > > Throughout the video, show the influencer confidently walking, posing, spinning, adjusting the collar and sleeves, fixing sunglasses, holding a coffee, checking herself in a mirror, and smiling naturally. Mix full-body shots, medium shots, close-ups of fabric, accessories, and outfit details. > > Bright natural daylight, warm minimalist interiors, luxury Pinterest aesthetic, cinematic handheld camera movement, shallow depth of field, realistic fabric physics, premium editorial fashion photography, smooth transitions, ultra-realistic 4K HDR. > > End with a quick collage of all 10 looks surrounding the final outfit and the text: **"10 Looks. 1 Shirt. 🤍 Which one's your favorite?"**

One shirt. 10 outfits. Infinite possibilities. Which look are you wearing first? 👀👇 Made with Seedance 2.0 on BudgetPixel AI Prompt: > Create a trendy, ultra-realistic Instagram fashion reel featuring a stylish Gen Z female influencer showing 10 ways to style the same oversized pastel yellow button-up shirt. No dialogue, only upbeat viral pop music with clean animated text labels for each look. Vertical 9:16. > > Open with the influencer holding the shirt on a hanger in a bright, minimalist apartment. She smiles at the camera and tosses the shirt forward as the text "1 Shirt 🤍 10 Ways to Style" appears. > > Fast-paced fashion montage with smooth whip pans, spin transitions, jump cuts, and snap transitions. > > Show these looks: > > 1. Casual Chic – open over a white crop top with wide-leg jeans. > 2. Front Knot – tied at the waist with denim. > 3. Off Shoulder – relaxed styling with sunglasses. > 4. Tucked In – tucked into tailored white trousers with a belt. > 5. Open with Denim Shorts – casual summer look with an iced coffee. > 6. Belted Chic – fully buttoned with a slim belt and black tailored trousers. > 7. Layered Dress – worn open over a fitted white midi dress. > 8. French Tuck – half-buttoned with rolled sleeves and relaxed jeans. > 9. Effortless Layers – draped over the shoulders with white linen trousers and a black tank. > 10. Monochrome Minimal – buttoned with cream wide-leg trousers for a clean luxury look. > > Throughout the video, show the influencer confidently walking, posing, spinning, adjusting the collar and sleeves, fixing sunglasses, holding a coffee, checking herself in a mirror, and smiling naturally. Mix full-body shots, medium shots, close-ups of fabric, accessories, and outfit details. > > Bright natural daylight, warm minimalist interiors, luxury Pinterest aesthetic, cinematic handheld camera movement, shallow depth of field, realistic fabric physics, premium editorial fashion photography, smooth transitions, ultra-realistic 4K HDR. > > End with a quick collage of all 10 looks surrounding the final outfit and the text: "10 Looks. 1 Shirt. 🤍 Which one's your favorite?"

Maria

33,673 просмотров • 12 дней назад

POV: You came to watch the World Cup... and ended up stealing the spotlight. ⚽ A stylish Good Morning from New York ends with a Messi-inspired dribble under the World Cup spotlight. Which nation are you representing at World Cup 2026? Create your own World Cup story with SeaArt.Ai🐋 , earn free credits, and get a chance to win an iPhone 17 Made with Seedance. SeaArt Creator Lab Prompt: World Cup 2026 Match-Day Fashion Story — Argentina Theme (0–25 Seconds) | New York | 16:9 Cinematic Ultra-realistic cinematic sports-fashion commercial, 16:9 horizontal, World Cup 2026 atmosphere, New York City. A beautiful, stylish American woman with a naturally elegant appearance, healthy glowing skin, expressive eyes, sleek updo hairstyle with soft face-framing strands. Premium commercial quality, realistic lighting, stable identity, natural movement, no glitches. 0–4 Seconds Luxury suite in a high-rise Manhattan hotel overlooking the New York skyline. Afternoon sunlight streams through floor-to-ceiling windows. The woman stands in front of an open wardrobe containing several football jerseys. She wears a fitted white tank top and black tailored shorts. Camera slowly pushes in as she scans the jerseys with anticipation. 4–7 Seconds Quick cinematic whip-pan transition. Her hand reaches for an Argentina jersey. The sky-blue and white stripes catch the sunlight. Realistic cloth physics. The jersey unfolds elegantly as she lifts it from the wardrobe. Subtle lens flare and premium fashion-commercial lighting. 7–11 Seconds Fast-paced transformation montage synchronized with energetic transitions. She ties the Argentina jersey into a stylish knot, puts on oversized light-wash baggy jeans and clean white sneakers. She grabs a sleek luxury-style crossbody bag with no visible branding. Mirror shots. She adjusts her hair. Flawless influencer-style makeup. Dynamic reflections and realistic daylight behavior. 11–15 Seconds Match cut. She walks confidently through a luxury Manhattan hotel corridor. Polished marble floors, warm ambient lighting, premium fashion-week atmosphere. A handsome European actor-type celebrity figure walks past in the opposite direction. They exchange a brief smile while continuing naturally. Cinematic depth of field, realistic background movement. 15–19 Seconds Hotel doors open dramatically. Bright New York sunlight floods the frame. Fast-paced tracking shots through Manhattan streets. Yellow taxis pass in the background. Crowds move naturally. Wind reacts realistically with her hair and jersey fabric. Low-angle walking shots. Premium sports-commercial energy. 19–22 Seconds Cut to a massive World Cup 2026 stadium atmosphere in New York. Argentina supporters fill the area. Sky-blue and white flags wave everywhere. Stadium lights begin illuminating as late afternoon shifts toward evening. The crowd energy grows stronger. The sound of anticipation fills the environment. 22–25 Seconds She enters the main stadium plaza. A football rolls across her path. She smiles playfully and begins a smooth, Messi-inspired close-control dribble sequence while moving forward. Tiny touches, effortless control, subtle body feints, the ball remaining close to her feet. Argentina fans around her cheer and react. Camera drops to a low tracking angle following the ball and her feet as she glides through the crowd. The sequence ends with her stopping the ball softly beneath her foot, looking toward the glowing stadium interior with excitement and confidence as Argentina colors illuminate the background. Style: ultra-realistic sports commercial, World Cup 2026 energy, premium color grading, realistic skin texture, cinematic depth of field, natural crowd behavior, subtle film grain, luxury fashion aesthetic, stable identity, high-end broadcast quality. Negative Prompt: blurry face, identity drift, duplicate people, extra limbs, distorted hands, unrealistic football movement, cartoon style, oversaturated colors, text overlays, logos, flickering artifacts, low resolution, unnatural physics, motion glitches, warped body proportions. #WorldCup2026 #SeaArtWorldCup

POV: You came to watch the World Cup... and ended up stealing the spotlight. ⚽ A stylish Good Morning from New York ends with a Messi-inspired dribble under the World Cup spotlight. Which nation are you representing at World Cup 2026? Create your own World Cup story with SeaArt.Ai🐋 , earn free credits, and get a chance to win an iPhone 17 Made with Seedance. SeaArt Creator Lab Prompt: World Cup 2026 Match-Day Fashion Story — Argentina Theme (0–25 Seconds) | New York | 16:9 Cinematic Ultra-realistic cinematic sports-fashion commercial, 16:9 horizontal, World Cup 2026 atmosphere, New York City. A beautiful, stylish American woman with a naturally elegant appearance, healthy glowing skin, expressive eyes, sleek updo hairstyle with soft face-framing strands. Premium commercial quality, realistic lighting, stable identity, natural movement, no glitches. 0–4 Seconds Luxury suite in a high-rise Manhattan hotel overlooking the New York skyline. Afternoon sunlight streams through floor-to-ceiling windows. The woman stands in front of an open wardrobe containing several football jerseys. She wears a fitted white tank top and black tailored shorts. Camera slowly pushes in as she scans the jerseys with anticipation. 4–7 Seconds Quick cinematic whip-pan transition. Her hand reaches for an Argentina jersey. The sky-blue and white stripes catch the sunlight. Realistic cloth physics. The jersey unfolds elegantly as she lifts it from the wardrobe. Subtle lens flare and premium fashion-commercial lighting. 7–11 Seconds Fast-paced transformation montage synchronized with energetic transitions. She ties the Argentina jersey into a stylish knot, puts on oversized light-wash baggy jeans and clean white sneakers. She grabs a sleek luxury-style crossbody bag with no visible branding. Mirror shots. She adjusts her hair. Flawless influencer-style makeup. Dynamic reflections and realistic daylight behavior. 11–15 Seconds Match cut. She walks confidently through a luxury Manhattan hotel corridor. Polished marble floors, warm ambient lighting, premium fashion-week atmosphere. A handsome European actor-type celebrity figure walks past in the opposite direction. They exchange a brief smile while continuing naturally. Cinematic depth of field, realistic background movement. 15–19 Seconds Hotel doors open dramatically. Bright New York sunlight floods the frame. Fast-paced tracking shots through Manhattan streets. Yellow taxis pass in the background. Crowds move naturally. Wind reacts realistically with her hair and jersey fabric. Low-angle walking shots. Premium sports-commercial energy. 19–22 Seconds Cut to a massive World Cup 2026 stadium atmosphere in New York. Argentina supporters fill the area. Sky-blue and white flags wave everywhere. Stadium lights begin illuminating as late afternoon shifts toward evening. The crowd energy grows stronger. The sound of anticipation fills the environment. 22–25 Seconds She enters the main stadium plaza. A football rolls across her path. She smiles playfully and begins a smooth, Messi-inspired close-control dribble sequence while moving forward. Tiny touches, effortless control, subtle body feints, the ball remaining close to her feet. Argentina fans around her cheer and react. Camera drops to a low tracking angle following the ball and her feet as she glides through the crowd. The sequence ends with her stopping the ball softly beneath her foot, looking toward the glowing stadium interior with excitement and confidence as Argentina colors illuminate the background. Style: ultra-realistic sports commercial, World Cup 2026 energy, premium color grading, realistic skin texture, cinematic depth of field, natural crowd behavior, subtle film grain, luxury fashion aesthetic, stable identity, high-end broadcast quality. Negative Prompt: blurry face, identity drift, duplicate people, extra limbs, distorted hands, unrealistic football movement, cartoon style, oversaturated colors, text overlays, logos, flickering artifacts, low resolution, unnatural physics, motion glitches, warped body proportions. #WorldCup2026 #SeaArtWorldCup

Shami

38,837 просмотров • 1 месяц назад