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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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108,386 views • 7 months ago •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

OpenArt

162,951 views • 7 months ago

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

70,843 views • 5 months ago

🎬 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 views • 3 months ago

$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

16,373 views • 3 months ago

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

294,602 views • 4 months ago

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 views • 11 months ago

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 views • 5 months ago

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 views • 3 months ago

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

12,816 views • 2 months ago

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Zentrix⌚️

43,491 views • 7 days ago

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 views • 9 months ago

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 views • 2 months ago

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 views • 1 month ago

$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

57,123 views • 2 months ago

🚀 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

1,195,522 views • 5 months ago

📖SEEDANCE 2.0 JUST MADE EVERY FILM SCHOOL IRRELEVANT FOR SOLO CREATORS Solo creators with the right workflow are closing clients that used to require a full production studio. Seedance 2.0 inside Dreamina holds character consistency across scenes in a way no other tool at this price point comes close to. Same face, same costume, same lighting logic — frame after frame after frame. That's the feature that turns a single prompt session into a short film. The lava demon materializing inside a gothic cathedral. The girl in black holding her ground while everything burns around her. Two characters with completely different visual languages sharing the same atmospheric world — and Seedance holds both of them consistent across every cut. That's not a generation. That's a production. Here's the 7-step workflow that produced this: • Step 1 — Define the character before you define the scene. Write a complete physical description — face structure, hair, clothing, skin, posture. This becomes the anchor every future generation references. • Step 2 — Build the world separately from the character. Gothic cathedral, candlelight, fog, cracked stone, scattered bodies. Define the atmosphere as its own entity before you place anyone inside it. • Step 3 — Generate the reference frame. One image that establishes the visual language, the color grade, the lighting temperature. Lock this as your style reference before generating any video. • Step 4 — Feed the reference into Seedance's image-to-video pipeline with a motion prompt. Camera behavior only — slow push, hold, circle. The image handles the subject. The prompt handles the direction. • Step 5 — Generate four variations per scene. Delete the two that look generated. Keep the one where the character's face holds and the atmosphere feels physical rather than rendered. • Step 6 — Edit in CapCut or Premiere Pro. Add music that matches the emotional temperature of the grade — the visual already tells you what the sound should feel like. Dark orchestral, slow tempo, single instrument carrying the melody. • Step 7 — Save the character description and reference frame as a template. The next episode starts from the same character in the same world. Series content becomes a system, not a restart. How a freelancer sells this: Dark fantasy content for game studios, music artists, and fantasy brands is a real market with real budgets. A musician dropping an album needs a visual world. A game studio needs promotional cinematics. A fantasy brand needs a story. Where to find clients: • Music artists on SoundCloud and Spotify releasing dark, gothic, or cinematic albums — search by genre, find artists with 1k–50k listeners who have no visual content. They have the audience and the need but no production budget for traditional video. • Indie game studios on Itch and Steam launching fantasy or horror titles — they need promotional cinematics and trailers but can't afford a production company. A single free scene built from their game's character art opens every conversation. • Dark fantasy and gothic brands on Instagram and TikTok with strong photo content but zero video presence — jewelry brands, clothing labels, occult lifestyle brands. They have the aesthetic already built. You just add motion to it. • Fantasy and horror fiction authors on Instagram and Substack launching new books — they need visual teasers, trailers, and world-building content to build pre-launch audiences. Most have no idea this kind of production is accessible at this price point. • Tabletop RPG creators and Dungeon Masters on Patreon and Kickstarter — they build entire fantasy universes and need cinematic content for campaigns, promotional videos, and subscriber rewards. The niche is underserved and the creators inside it spend consistently on content tools and services. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖Save this if you are looking for practical AI methods that actually pay.

Zentrix⌚️

50,098 views • 1 month ago

i should never be sharing this but fuck it a wedding app is running the craziest ai ugc play of 2026 and nobody has clocked it 11.8M views on one tiktok. the account has 2,516 followers 1M likes. 202K bookmarks. 362 comments not one comment noticed the crying bride doesnt exist the face reaction hook is 100% ai. the rest is pov screen recordings anyone can film thats the whole play ai face hook + app demo. no creator. no pretty face on payroll. no camera crew 20M+ organic views across the whole page. zero ad spend its 2026 and brands are still paying $30 CPM on paid ads this cost a prompt and a screen recording on AFNW the same strategy runs at ~$1 per 1k views and you only pay for views delivered i broke down the full system: the ai model, the face reaction hook, the format playbook drop "BRIDE" and ill dm you the doc (must RT + follow so i can dm) if you're an app or brand and want this exact strategy launch a campaign on Affiliate Network below

Sam

19,298 views • 4 days ago

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

33,520 views • 25 days ago

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 views • 1 month ago

the editing part of AI UGC just got solved you can hook claude straight into after effects through higgsfield, and now i just talk to my ad project, it reads the comp, the layers, the keyframes, and it builds the thing while i keep directing it kinetic captions on the hook, a wiggle-locked zoom on the punchline, animated price tags, it writes the expression and puts it on the right property and you can do it in batches, just feed it a sheet of hooks and it swaps the text across the comp and hands you every variant with layout intact, same for markets, one ad becomes 6 languages without touching you keyboard i broke the ENTIRE ad post-production system into a workflow and giving it all to you now here's what you're getting: - exact setup to get claude running inside AE (5 min, copy paste) - caption + hook animation prompt (steal it, works on any UGC clip) - the batch variant method (1 ad, 12 hooks, one pass) - full pipeline, gen to final export rt + reply "UGC" and i'll send it so you can ship 10x more creatives this week (must follow so i can dm)

the editing part of AI UGC just got solved you can hook claude straight into after effects through higgsfield, and now i just talk to my ad project, it reads the comp, the layers, the keyframes, and it builds the thing while i keep directing it kinetic captions on the hook, a wiggle-locked zoom on the punchline, animated price tags, it writes the expression and puts it on the right property and you can do it in batches, just feed it a sheet of hooks and it swaps the text across the comp and hands you every variant with layout intact, same for markets, one ad becomes 6 languages without touching you keyboard i broke the ENTIRE ad post-production system into a workflow and giving it all to you now here's what you're getting: - exact setup to get claude running inside AE (5 min, copy paste) - caption + hook animation prompt (steal it, works on any UGC clip) - the batch variant method (1 ad, 12 hooks, one pass) - full pipeline, gen to final export rt + reply "UGC" and i'll send it so you can ship 10x more creatives this week (must follow so i can dm)

MAX

37,643 views • 15 days ago