[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-11111":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":37,"readmeContent":38,"aiSummary":39,"trendingCount":15,"starSnapshotCount":15,"syncStatus":40,"lastSyncTime":41,"discoverSource":42},11111,"GPT-Image-2-Seedance2-Workflow","EvoLinkAI\u002FGPT-Image-2-Seedance2-Workflow","EvoLinkAI","GPT-image-2 and seedance2 workflows and prompt templates  to produce high-quality AI videos.","https:\u002F\u002Fevolink.ai\u002Fseedance-2-0",null,"Python",533,74,84,0,19,52,203,57,9.63,"Other",false,"main",true,[26,27,28,29,30,31,32,33,34,35,36],"ai-image","ai-images","ai-video","ai-video-generator","chatgpt","chatpgt-api","gpt-image-2-api","gpt-image-2-prompts","seedance-2","seedance2","seedance2-api","2026-06-12 02:02:29","\u003Cdiv align=\"center\">\n\n\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=banner&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Flogo.png\" alt=\"GPT Image 2 × Seedance 2.0 Workflow Guide\">\u003C\u002Fa>\n\n[![License: CC BY 4.0](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-CC_BY_4.0-lightgrey.svg)](LICENSE)\n[![awesome-seedance-2.0-prompts](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F📦_awesome--seedance--2.0--prompts-181717?logo=github)](https:\u002F\u002Fgithub.com\u002FEvoLinkAI\u002Fawesome-seedance-2.0-prompts)\n[![Seedance-2.0-Gateway-Service](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F📦_Seedance--2.0--Gateway--Service-181717?logo=github)](https:\u002F\u002Fgithub.com\u002FEvoLinkAI\u002FSeedance-2.0-Gateway-Service)\n[![awesome-seedance-2-guide](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F📦_awesome--seedance--2--guide-181717?logo=github)](https:\u002F\u002Fgithub.com\u002FEvoLinkAI\u002Fawesome-seedance-2-guide)\n[![awesome-gpt-image-2-prompts](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F📦_awesome--gpt--image--2--prompts-181717?logo=github)](https:\u002F\u002Fgithub.com\u002FEvoLinkAI\u002Fawesome-gpt-image-2-prompts)\n\n\n[![🇺🇸 English](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇺🇸_English-Default_Source-111111)](README.md)\n[![🇪🇸 Español](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇪🇸_Español-Ver-ffb703)](README_es.md)\n[![🇵🇹 Português](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇵🇹_Português-Ver-2a9d8f)](README_pt.md)\n[![🇯🇵 日本語](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇯🇵_日本語-表示-52b788)](README_ja.md)\n[![🇰🇷 한국어](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇰🇷_한국어-보기-4ea8de)](README_ko.md)\n[![🇩🇪 Deutsch](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇩🇪_Deutsch-Ansehen-f4a261)](README_de.md)\n[![🇫🇷 Français](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇫🇷_Français-Voir-e76f51)](README_fr.md)\n[![🇹🇷 Türkçe](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇹🇷_Türkçe-Görüntüle-d62828)](README_tr.md)\n[![🇹🇼 繁體中文](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇹🇼_繁體中文-查看-8338ec)](README_zh-TW.md)\n[![🇨🇳 简体中文](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇨🇳_简体中文-查看-ef476f)](README_zh-CN.md)\n[![🇷🇺 Русский](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F🇷🇺_Русский-Смотреть-577590)](README_ru.md)\n\n\u003C\u002Fdiv>\n\n\n\n\n\n## 🎬 Introduction\n\nWelcome to the GPT Image 2 × Seedance 2.0 workflow repository! 🤗\n\n**We collect proven workflows, prompt templates, and real creator examples for combining GPT Image 2 and Seedance 2.0 to produce high-quality AI videos.**\n\nGPT Image 2 handles the \"what to draw\" and visual consistency. Seedance 2.0 handles the \"how to move\" — animating those images into video. Together they form one of the most capable AI video pipelines available today.\n\nMost cases in this repository are curated from X\u002FTwitter creators, community experiments, and real production workflows.\n\nTry it: [GPT Image 2 + Seedance 2.0](https:\u002F\u002Fevolink.ai?utm_source=github&utm_medium=readme&utm_campaign=gptimage2-x-seedance2)\n\nIf you find this useful, consider giving it a star. ⭐\n\n\n\n## 📰 News\n\n- **May 6, 2026:** Expanded [🌟 Community Showcase](#-community-showcase) with 33 new creator works from May 5–6 (slugs 71–103) — see [Update — May 5–6, 2026](#update--may-56-2026)\n- **May 2, 2026:** Added [🌟 Community Showcase](#-community-showcase) — 70 latest GPT Image 2 × Seedance 2.0 works from creators on X (April 29 – May 2)\n- **May 1, 2026:** Added Case 13–27 (dance sequence grid, comic page animation, luxury commercial, cinematic food video, game interface pipeline, single agent workflow, storyboard-first cost control, Claude shotlist MV, casting grid, 3D sculpt pipeline, IP cyberpunk remake, GTA city concept, K-Pop choreography, product video ad, character intro animation)\n- **April 25, 2026:** Added Case 10–12 (multi-frame storyboard, Japanese MV toolchain, Claude Code × character sheet), expanded Case 9 with ARPG simulation variants, added community showcase to Gallery\n- **April 23, 2026:** Repository launched with 9 curated workflow cases\n\n## 📑 Menu\n\n- [🎬 Introduction](#-introduction)\n- [📰 News](#-news)\n- [📑 Menu](#-menu)\n- [🎥 Storyboard Techniques](#-storyboard-techniques)\n  - [Case 1: Standard Storyboard → Video (by @kiyoshi_shin)](#case-1-standard-storyboard--video-by-kiyoshi_shin)\n  - [Case 2: 3×3 Grid Storyboard Method (by @servasyy_ai)](#case-2-33-grid-storyboard-method-by-servasyy_ai)\n  - [Case 10: Multi-Frame Reference → Fast-Cut Video (by @heygentlewhale)](#case-10-multi-frame-reference--fast-cut-video-by-heygentlewhale)\n  - [Case 19: Storyboard-First Cost Control (by @0xbisc)](#case-19-storyboard-first-cost-control-by-0xbisc)\n- [📱 Commercial & Product](#-commercial--product)\n  - [Case 5: App MVP Demo Video (by @Shin_Engineer)](#case-5-app-mvp-demo-video-by-shin_engineer)\n  - [Case 6: 15-Second Commercial (by @ai_mitosan)](#case-6-15-second-commercial-by-ai_mitosan)\n  - [Case 15: Luxury Commercial — Storyboard to Film (by @insmind_com)](#case-15-luxury-commercial--storyboard-to-film-by-insmind_com)\n  - [Case 16: Cinematic Food Video (by @kingofdairyque)](#case-16-cinematic-food-video-by-kingofdairyque)\n  - [Case 26: Product Image → Short Video Ad (by @insmind_com)](#case-26-product-image--short-video-ad-by-insmind_com)\n- [🎨 Animation & Character](#-animation--character)\n  - [Case 3: Character Sheet → Animation (by @YaReYaRu30Life)](#case-3-character-sheet--animation-by-yareyaru30life)\n  - [Case 4: Anime OP Style Video (by @Toshi_nyaruo_AI)](#case-4-anime-op-style-video-by-toshi_nyaruo_ai)\n  - [Case 12: Claude Code × Character Sheet → Animation (by @old_pgmrs_will)](#case-12-claude-code--character-sheet--animation-by-old_pgmrs_will)\n  - [Case 13: Dance Sequence Grid → Dance Video (by @Ciri_ai)](#case-13-dance-sequence-grid--dance-video-by-ciri_ai)\n  - [Case 14: Comic Page → Animated Video (by @nimentrix)](#case-14-comic-page--animated-video-by-nimentrix)\n  - [Case 25: K-Pop Choreography — Detailed Control (by @Kashberg_0)](#case-25-k-pop-choreography--detailed-control-by-kashberg_0)\n  - [Case 27: Character Intro Animation (by @0xbisc)](#case-27-character-intro-animation-by-0xbisc)\n- [🎵 Music Video & Short Film](#-music-video--short-film)\n  - [Case 7: Music Video with Suno (by @fukaborichannel)](#case-7-music-video-with-suno-by-fukaborichannel)\n  - [Case 8: Cyberpunk Style Short Film (by @ponyodong)](#case-8-cyberpunk-style-short-film-by-ponyodong)\n  - [Case 11: Japanese MV — Full AI Toolchain (by @Tz_2022)](#case-11-japanese-mv--full-ai-toolchain-by-tz_2022)\n  - [Case 20: Claude Shotlist → Music Video (by @CoffeeVectors)](#case-20-claude-shotlist--music-video-by-coffeevectors)\n- [🎮 Game Concept](#-game-concept)\n  - [Case 9: Game & Interactive Content (by @op7418)](#case-9-game--interactive-content-by-op7418)\n  - [Case 17: Game Interface Animation — Full Pipeline (by @0xInk_)](#case-17-game-interface-animation--full-pipeline-by-0xink_)\n  - [Case 24: GTA-Style City Game Concept (by @markgadala)](#case-24-gta-style-city-game-concept-by-markgadala)\n- [🛠 Production Tools](#-production-tools)\n  - [Case 18: Single Agent Automated Workflow (by @venturetwins)](#case-18-single-agent-automated-workflow-by-venturetwins)\n  - [Case 21: Casting Grid — Actor Audition (by @8fstudioz)](#case-21-casting-grid--actor-audition-by-8fstudioz)\n  - [Case 22: 3D Sculpt → AI Render → Animation (by @_DAntunes_)](#case-22-3d-sculpt--ai-render--animation-by-_dantunes_)\n- [🌟 Community Showcase](#-community-showcase)\n  - [Update — May 5–6, 2026](#update--may-56-2026)\n- [💡 Tips & Techniques](#-tips--techniques)\n  - [Consistency Guide](#consistency-guide)\n  - [Prompt Templates](#prompt-templates)\n- [🚀 Try It on Evolink](#-try-it-on-evolink)\n- [🙏 Acknowledge](#-acknowledge)\n\n\n## 🎥 Storyboard Techniques\n\n\u003C!-- Case 1: Standard Storyboard → Video (by @kiyoshi_shin) -->\n### Case 1: [Standard Storyboard → Video](https:\u002F\u002Fx.com\u002Fkiyoshi_shin\u002Fstatus\u002F2047133524403400847) (by [@kiyoshi_shin](https:\u002F\u002Fx.com\u002Fkiyoshi_shin))\n\nThe most common workflow. Use GPT Image 2 to generate a storyboard panel, then animate it with Seedance 2.0. Best for promotional videos, short dramas, and animation OPs.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fstoryboard_case1\u002Finput.jpg\" width=\"280\" alt=\"GPT Image 2 generated storyboard\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fac25fc3d-b6cb-4149-a8ba-e7e10c5b1faa\" width=\"280\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Describe your scene to GPT Image 2 and generate a storyboard image\n2. Import the storyboard into Seedance 2.0 using Image-to-Video mode\n3. Export each clip and assemble in your editing software\n\n**GPT Image 2 Prompt:**\n\n```\nCreate a 6-panel storyboard for a 15-second brand promotional video. Label each panel with a shot description.\nStyle: cinematic, cool color tone, widescreen 16:9.\nContent: the journey of a product from factory to the customer's hands.\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nCinematic brand advertisement, slow camera push-in, product centered in frame, warm side lighting, soft background blur, no people, 3 seconds.\n```\n\n> [!NOTE]\n> Output storyboard images in 16:9 to avoid Seedance auto-cropping. Set frame rate to 24fps to match film standards. Keep each storyboard panel simple — the simpler the content, the more accurate the motion output.\n\n\n\u003C!-- Case 2: 3×3 Grid Storyboard Method (by @servasyy_ai) -->\n### Case 2: [3×3 Grid Storyboard Method](https:\u002F\u002Fx.com\u002Fservasyy_ai\u002Fstatus\u002F2047198012750143999) (by [@servasyy_ai](https:\u002F\u002Fx.com\u002Fservasyy_ai))\n\nA key technique discovered by the community: composing all storyboard panels into a single 3×3 grid image before importing to Seedance significantly reduces failure rate compared to importing frames one by one.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fstoryboard_case2\u002Foutput.jpg\" width=\"400\" alt=\"3×3 grid storyboard output\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F00f32388-a17b-4b9c-8da3-1956436ce91b\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n\n\n**Steps:**\n\n1️⃣ Input the content you want to create + the ✅ prompt “Create a storyboard in a 3×3 grid format”\n2️⃣ Create a prompt from the image in 1 with ChatGPT\n3️⃣ Reference the image from 1 in seedance\n4️⃣ Input the prompt created in 2.\n\n**GPT Image 2 Prompt:**\n\n```\n[describe your scene] and Create a storyboard in a 3×3 grid format\n```\n\n**Seedance 2.0 Prompt:**\nturn this image into video\n```\n[Describe the motion and style. Example: Japanese full-color animation, fast cuts, high frame count, 24fps, dark fantasy anime OP style, intense battle scenes.]\n```\n\n> [!NOTE]\n> **Replace the content inside brackets before use.** This method works because Seedance analyzes motion intent from a single image. A grid provides directional reference and produces more coherent motion than separate images.\n\n\n\u003C!-- Case 10: Multi-Frame Reference Storyboard (by @heygentlewhale + @ai_gezgini) -->\n### Case 10: [Multi-Frame Reference → Fast-Cut Video](https:\u002F\u002Fx.com\u002Fheygentlewhale\u002Fstatus\u002F2047969137969004946) (by [@heygentlewhale](https:\u002F\u002Fx.com\u002Fheygentlewhale))\n\nFeed Seedance 2.0 a storyboard image with multiple reference frames and instruct it to follow the sequence order. The model reads frame positions as scene cues and outputs a coherent fast-cut edit — without manual clip assembly.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fstoryboard_case10\u002Finput.jpg\" width=\"280\" alt=\"GPT Image 2 multi-frame storyboard\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F4d7af334-4e49-4de4-899e-803f72116c21\" width=\"280\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F5def7e00-6fc6-4a4e-8075-5f37cb24b84c\" width=\"280\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate a multi-panel storyboard image in GPT Image 2 (12 frames, 3×4 or 4×3 grid)\n2. Upload the storyboard as the reference image in Seedance 2.0\n3. Write a sequencing prompt that names the frame count and edit style\n\n**GPT Image 2 Prompt:**\n\n```\nCreate a 12-panel storyboard grid for a [N]-second [genre] film:\n- 4 columns × 3 rows, left-to-right, top-to-bottom reading order\n- Each panel: [shot type] + [action description]\n- Location: [setting], Time: [day\u002Fnight], Mood: [atmosphere]\n- Consistent character design and scene across all panels\n- No text labels, no panel borders\nOutput as a single image.\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nFollow the storyboard sequence of the 12 reference frames in image1, edited as a fast-cut memory montage.\n[Describe visual style — example below:]\nA nostalgic romance film set in 1990s Singapore, shot on 35mm film in Kodak Portra 800 style.\nSoft grain, dreamy blur, warm highlights, and slight color shifts create a vintage cinematic atmosphere.\n```\n\n**Universal sequencing prompt (via [@ai_gezgini](https:\u002F\u002Fx.com\u002Fai_gezgini\u002Fstatus\u002F2047349122315805016)):**\n\n```\nUse this storyboard to generate a video, follow the scene order, keep transitions smooth,\nand preserve cinematic lighting and pacing.\n[Add any extra visual details you want.]\n```\n\n> [!NOTE]\n> This prompt works across genres — swap the style description for sci-fi, horror, documentary, or any other look. The key phrase is `follow the storyboard sequence of the [N] reference frames` — it tells Seedance to treat frame positions as a timeline rather than a single composition.\n\n\n\u003C!-- Case 19: Storyboard-First Cost Control (by @0xbisc) -->\n### Case 19: [Storyboard-First Cost Control](https:\u002F\u002Fx.com\u002F0xbisc\u002Fstatus\u002F2049100073481716076) (by [@0xbisc](https:\u002F\u002Fx.com\u002F0xbisc))\n\nA production-minded approach: iterate on the storyboard in GPT Image 2 first (cheap), then generate video only when the composition is locked (expensive). This saves significant credits because video iterations burn 10–50× more than image iterations. 298 likes \u002F 13K views \u002F 291 bookmarks.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fstoryboard_case19\u002Foutput.jpg\" width=\"400\" alt=\"Storyboard-first workflow output\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F09e04d80-c0d1-4a8c-9b74-2efe474acfcd\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate an 8-panel storyboard grid with GPT Image 2\n2. Review each panel — regenerate or edit individual panels until satisfied\n3. Only when the full storyboard is locked, import into Seedance 2.0\n4. Generate the video in one shot from the finalized storyboard\n\n**GPT Image 2 Prompt:**\n\n```\nCreate a single cinematic storyboard image containing 8 panels, arranged in a 4-column horizontal grid layout across the canvas.\nPanels are evenly distributed in 4 columns, forming a balanced multi-row composition.\nUse generous white space between panels and around the entire layout, creating a calm, refined editorial presentation.\nMinimalist editorial design, white background, precise alignment, consistent spacing, strong grid system.\nSubtle divider lines, ultra-thin, low-contrast, neutral tone, strictly aligned to the grid.\nEach panel is presented as a clean modular card with a clear hierarchy: image frame on top, minimal text block below.\nRefined modern sans-serif typography, light to regular weight, tight typographic control, consistent scale rhythm.\nVisual consistency across all panels: a white flying dragon and a short blond-haired young male wearing a loose flowing white robe riding on its back. A glowing spherical object remains consistent in appearance.\nStyle: live-action cinematic realism, human actor proportions, natural skin detail, physically accurate lighting, real-world materials, high-end film still quality, ultra high resolution, sharp focus.\nCinematic sequence:\nScene 01\nShot type\nWide shot, low-angle tracking\nNarrative\nDragon skims rapidly above ground toward vast geometric ruins, rider standing steadily, bright daylight\nScene 02\nShot type\nWide shot, side view\nNarrative\nDragon enters ruin airspace, stone structures begin sinking and shifting, geometry reconfigures\nScene 03\nShot type\nMedium shot, tracking\nNarrative\nDragon navigates through moving structures forming a spatial maze, rider leans forward, focused\nScene 04\nShot type\nPush-in shot, centered composition\nNarrative\nMassive floating ring appears at center, glowing sphere suspended inside, focal point established\nScene 05\nShot type\nWide-angle, low-angle tracking, high speed\nNarrative\nDragon dives through narrow moving gaps, massive structures pass extremely close, intense speed and compression\nScene 06\nShot type\nClose-up, centered composition\nNarrative\nRider reaches forward to grasp glowing sphere, golden light illuminating face and arm\nScene 07\nShot type\nWide shot, upward motion\nNarrative\nDragon ascends sharply as ruins collapse below, structures sinking and closing, dust fills air\nScene 08\nShot type\nWide shot, high-angle view\nNarrative\nDragon exits above collapsed ruins, open sky, clear silhouette of rider and dragon, resolution moment\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nGenerate video based strictly on storyboard @ image1. Follow the storyboard exactly as shown, matching each panel’s composition, framing, and action. Keep perfect visual continuity with no errors or inconsistencies.\n```\n\n> [!NOTE]\n> **Why storyboard-first wins on cost:** Video iterations burn credits fast. With a storyboard, you can tweak things shot by shot and catch issues early. The video step becomes a single final render rather than an expensive trial-and-error loop. Community feedback confirms this is the most budget-efficient workflow for longer sequences.\n\n\n## 📱 Commercial & Product\n\n\u003C!-- Case 5: App MVP Demo Video (by @Shin_Engineer) -->\n### Case 5: [App MVP Demo Video](https:\u002F\u002Fx.com\u002FShin_Engineer\u002Fstatus\u002F2047182050323812381) (by [@Shin_Engineer](https:\u002F\u002Fx.com\u002FShin_Engineer))\n\nUse GPT Image 2 to generate finished-looking UI screenshots of an app that doesn't exist yet, then animate them with Seedance 2.0 into a product demo. Post to TikTok or social media to test market interest before building.\n\n| Output |\n| :----: |\n| \u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fapp_case5\u002Foutput0.jpg\" width=\"400\" alt=\"GPT Image 2 generated app UI screenshot 1\">\u003C\u002Fa> |\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fapp_case5\u002Foutput1.jpg\" width=\"220\" alt=\"App UI screenshot 2\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fapp_case5\u002Foutput2.jpg\" width=\"220\" alt=\"App UI screenshot 3\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fapp_case5\u002Foutput3.jpg\" width=\"220\" alt=\"App UI screenshot 4\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Describe your app concept and design language to GPT Image 2\n2. Generate 3–5 key UI screenshots (home, feature, profile pages)\n3. Sort screenshots in user-flow order and import into Seedance 2.0\n4. Export the demo video and post it to test market reaction\n\n**GPT Image 2 Prompt:**\n\n```\nDesign [N] UI screenshots for a \"[app concept]\" app:\n1. [Page 1 name and description]\n2. [Page 2 name and description]\n3. [Page 3 name and description]\nStyle: [iOS\u002FAndroid] native design language, [primary color] accent, [light\u002Fdark] mode.\nOutput as realistic app screenshots, not wireframes or mockups.\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nSmooth app UI transition animation, screen tap interaction, natural interface motion, clean and modern feel, 3 seconds.\n```\n\n> [!NOTE]\n> **Replace the placeholders in brackets before use.** In your video caption, do not label it as AI-generated — post it as a product demo and observe real audience feedback in the comments.\n\n\n\u003C!-- Case 6: 15-Second Commercial (by @ai_mitosan) -->\n### Case 6: [15-Second Commercial](https:\u002F\u002Fx.com\u002Fai_mitosan\u002Fstatus\u002F2047146600422846762) (by [@ai_mitosan](https:\u002F\u002Fx.com\u002Fai_mitosan))\n\nTwo-step workflow: GPT Image 2 generates the hero image and matching storyboard, then Seedance 2.0 animates each clip. Assemble with captions and music for a complete 15-second spot.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcommercial_case6\u002Finput1.jpg\" width=\"280\" alt=\"GPT Image 2 hero product image\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcommercial_case6\u002Finput2.jpg\" width=\"280\" alt=\"GPT Image 2 storyboard\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F09ae3c57-b8fb-4323-ba76-7777541fe4a3\" width=\"280\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate the main image + storyboard with image2  \n2. Feed that into Seedance2.0 to turn it into a video  \n\n**Storyboard count guide:**\n\n| Video length | Panels | Duration per clip |\n| :---: | :---: | :---: |\n| 15 seconds | 4–5 | 3–4 seconds |\n| 30 seconds | 8–10 | 3 seconds |\n| 60 seconds | 15–18 | 3–4 seconds |\n\n**GPT Image 2 Prompt:**\n\n```\n夜カフェ　深夜スイーツをテーマにした15秒CMを作るので、絵コンテを作って。 \nプロの映像クリエイターによる15秒、８カット、マルチショット、ライティング重視。\n```\n\n**Seedance 2.0 Prompt:**\n\n```\n15秒、８カット、マルチショット、ライティング重視\n```\n\n\n\u003C!-- Case 15: Luxury Commercial — Storyboard to Film (by @insmind_com) -->\n### Case 15: [Luxury Commercial — Storyboard to Film](https:\u002F\u002Fx.com\u002Finsmind_com\u002Fstatus\u002F2049481439285223785) (by [@insmind_com](https:\u002F\u002Fx.com\u002Finsmind_com))\n\nGenerate a 3×4 storyboard grid (12 frames) for a luxury fragrance ad with GPT Image 2, then animate into a cinematic brand-level film with Seedance 2.0. The structured flow — intro → ritual → transformation → resolution → brand closure — produces a complete narrative arc in one generation. 371 likes \u002F 84K views \u002F 255 bookmarks.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fluxury_case15\u002Foutput.jpg\" width=\"400\" alt=\"Luxury commercial storyboard\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F281fef1e-f42d-442c-b06e-44d7cff221ec\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate a 12-frame storyboard grid (3×4) with GPT Image 2, using editorial layout and luxury brand aesthetics\n2. Import the storyboard grid into Seedance 2.0 as a single reference image\n3. Prompt Seedance to animate the sequence as a cinematic luxury commercial\n4. Add music and final color grade in your editing software\n\n**GPT Image 2 Prompt:**\n\n```\nCreate a high-end 9:16 luxury fragrance pitch deck storyboard in 3x4 grid (12 frames), editorial layout, Aesop\u002FByredo style, beige + lavender palette. Structured flow: intro → ritual → transformation → resolution → brand closure. Each frame split: top cinematic image (no text) + bottom storyboard notes. Luxury minimal European aesthetic, calm femininity, slow living mood. Candle is the emotional center throughout\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nAnimate the provided 3x4 storyboard into a smooth cinematic video. Preserve exact shot order and continuity. Use slow push-in, gentle pan, subtle orbit, and rack focus. Lighting transitions from soft morning glow to warm golden ambient light. Fragrance brand editorial aesthetic, minimal luxury, soft film grain. No new shots, no reordering, candle remains emotional focus in all scenes\n```\n\n> [!NOTE]\n> The editorial pitch-deck layout (with visual direction notes in each frame) gives Seedance stronger narrative cues than a plain grid. This workflow scales to any luxury product category — skincare, watches, fashion — by swapping the palette and product references.\n\n\n\u003C!-- Case 16: Cinematic Food Video (by @kingofdairyque) -->\n### Case 16: [Cinematic Food Video](https:\u002F\u002Fx.com\u002Fkingofdairyque\u002Fstatus\u002F2049812014596599834) (by [@kingofdairyque](https:\u002F\u002Fx.com\u002Fkingofdairyque))\n\nUse GPT Image 2 + Seedance 2.0 to create ultra-realistic food preparation videos with timestamped shot descriptions. Each timestamp segment (0–2s, 2–4s, etc.) defines a specific camera angle and action, giving Seedance precise control over the 15-second sequence. 55 likes \u002F 1K views.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Ffood_case16\u002Finput.jpg\" width=\"400\" alt=\"Food video storyboard input\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F30a20e57-8384-4117-adf7-4f92faebeb33\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Write a detailed timestamped shot list describing each 2-second segment\n2. Generate the storyboard image with GPT Image 2 based on the shot list\n3. Feed the image + full timestamped prompt into Seedance 2.0\n4. The model follows the timestamp structure to produce a coherent cooking sequence\n\n**Seedance 2.0 Prompt:**\n\n```\nUltra-realistic cinematic 15-second vertical video (9:16), 4K, dark rustic wooden table,\nsoft dramatic lighting, shallow depth of field, natural textures, no text, no subtitles, no music.\n[0-2s] Top-down shot: hands gently touch a bowl of [ingredient]. Subtle ambient movement.\n[2-4s] Side close shot: [preparation action] in slow motion, catching warm light.\n[4-6s] Macro shot: hands [action]. Texture detail visible.\n[6-8s] 45-degree angle: [ingredient] pours into [vessel]. Natural bounce and movement.\n[8-10s] Top angled close-up: hands carefully [assembly action]. Precise controlled motion.\n[10-12s] Side shot: oven door opens. Warm golden light spills out with gentle steam.\n[12-14s] Close-up: [finishing touch]. Surface becomes glossy, light reflecting softly.\n[14-15s] Final frontal shot: finished [dish] on rustic table. Hands enter frame softly.\n```\n\n> [!NOTE]\n> The timestamped prompt technique gives Seedance a precise shot-by-shot timeline. This works for any product or process video — unboxing, crafting, cocktail making. Keep each segment to 2 seconds and describe both the camera angle and the action for best results.\n\n\n\u003C!-- Case 26: Product Image → Short Video Ad (by @insmind_com) -->\n### Case 26: [Product Image → Short Video Ad](https:\u002F\u002Fx.com\u002Finsmind_com\u002Fstatus\u002F2049843814337306974) (by [@insmind_com](https:\u002F\u002Fx.com\u002Finsmind_com))\n\nTurn static product images into scroll-stopping social media videos. Upload your existing product photos as references to GPT Image 2, generate a scene composition, then animate with Seedance 2.0. Designed for e-commerce and social media marketing — produce TikTok\u002FReels-ready content from product photos you already have.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fproduct_case26\u002Foutput.jpg\" width=\"400\" alt=\"Product video ad output\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F880c0019-e45a-4eb9-be6f-638ff71a0e0f\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1.  Input product images.\n2. Generate the core scene.\n3.  Define motion and structure.\n4. Style and constraints\n\n> [!NOTE]\n> This differs from Case 15 (luxury commercial) in that it starts from existing product photos rather than generating everything from scratch. Best for e-commerce sellers who already have product images and want to convert them into video ads quickly.\n\n\n## 🎨 Animation & Character\n\n\u003C!-- Case 3: Character Sheet → Animation (by @YaReYaRu30Life) -->\n### Case 3: [Character Sheet → Animation](https:\u002F\u002Fx.com\u002FYaReYaRu30Life\u002Fstatus\u002F2047203375314571501) (by [@YaReYaRu30Life](https:\u002F\u002Fx.com\u002FYaReYaRu30Life))\n\nGenerate a character three-view sheet (front, side, back) with GPT Image 2, then use it as an anchor for animation in Seedance 2.0. Ideal for anime characters, game characters, and figure reveals.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcharacter_case3\u002Finput0.jpg\" width=\"260\" alt=\"Character sheet front\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcharacter_case3\u002Finput1.jpg\" width=\"260\" alt=\"Character sheet side\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcharacter_case3\u002Finput2.jpg\" width=\"260\" alt=\"Equipment sheet\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcharacter_case3\u002Foutput.jpg\" width=\"400\" alt=\"Combined character sheet with equipment\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F92a0aa56-441f-40db-b9c9-13410254cb3f\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Three-view drawing (character) + two equipment three-view drawings.Based on this,Prepare three-view drawings with each piece of equipment equipped in a single image. For image posting count reasons, the character attachment is omitted\n2. Create a storyboard based on this three-view drawing  \n3. Turn the storyboard into video using Seedance2.0\n\n**GPT Image 2 Prompt:**\n\n```\nCreate a storyboard based on this three-view drawing  \n```\n\n**Seedance 2.0 Prompt:**\n\n```\nTurn the storyboard into video using Seedance2.0\n```\n\n\n\u003C!-- Case 4: Anime OP Style Video (by @Toshi_nyaruo_AI) -->\n### Case 4: [Anime OP Style Video](https:\u002F\u002Fx.com\u002FToshi_nyaruo_AI\u002Fstatus\u002F2047216971184546231) (by [@Toshi_nyaruo_AI](https:\u002F\u002Fx.com\u002FToshi_nyaruo_AI))\n\nUse GPT Image 2 to build a scene setting image, then let Seedance 2.0 animate freely. Comparing constrained (storyboard-guided) and free-form (prompt-only) outputs helps decide the right approach per shot.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcharacter_case4\u002Foutput0.jpg\" width=\"280\" alt=\"Anime OP output 1\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Ff08a2fee-89a7-4c7c-a58a-f1306f87419a\" width=\"280\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F09d81a41-b5c5-47f3-8c67-442b7a93b019\" width=\"280\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Grok come up with lyrics for a fictional anime openin\n2. used GPT-image2 to turn the lyrics into a storyboard\n3. use seedance2 to generate videos\n\n**GPT Image 2 Prompt:**\n\n```\nturn the lyrics into a storyboard\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nJapanese full-color anime, fast cuts, high frame count, 24fps. Dark fantasy anime OP style. Epic battle between protagonist and massive supernatural creatures. High-impact sequence of scenes. Only [character name] appears.\n```\n\n> [!NOTE]\n> When Seedance animates freely (without a storyboard reference), results can be more dynamic but less consistent with your source image. Use storyboard control for key character shots and free animation for action sequences.\n\n\n\u003C!-- Case 12: Claude Code + Character Sheet → Animation (by @old_pgmrs_will) -->\n### Case 12: [Claude Code × Character Sheet → Animation](https:\u002F\u002Fx.com\u002Fold_pgmrs_will\u002Fstatus\u002F2045091769180914019) (by [@old_pgmrs_will](https:\u002F\u002Fx.com\u002Fold_pgmrs_will))\n\nUse Claude Code to write the world-building and character lore, then pass structured descriptions to GPT Image 2 to generate the character key visual, then animate with Seedance 2.0. Developer-friendly workflow for original IP creation. 191 likes \u002F 7K views.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fseedance2?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcharacter_case12\u002Foutput.jpg\" width=\"400\" alt=\"Claude Code + GPT Image 2 character key visual\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Use Claude Code to draft world-building notes and a structured character spec (name, appearance, personality, setting)\n2. Feed the character spec directly into GPT Image 2 to generate a key visual or character sheet\n3. Use the key visual as the reference image in Seedance 2.0 and animate\n\n> [!NOTE]\n> Claude Code outputs structured text — character specs, scene descriptions, dialogue outlines — which GPT Image 2 handles well as detailed prompts. This pipeline is particularly effective for original story IP: build the lore in code, visualize it in GPT Image 2, animate it in Seedance.\n\n\n\u003C!-- Case 13: Dance Sequence Grid → Dance Video (by @Ciri_ai) -->\n### Case 13: [Dance Sequence Grid → Dance Video](https:\u002F\u002Fx.com\u002FCiri_ai\u002Fstatus\u002F2049034340160704643) (by [@Ciri_ai](https:\u002F\u002Fx.com\u002FCiri_ai))\n\nGenerate a 4×4 grid of dance poses with GPT Image 2, then feed it to Seedance 2.0 as a motion reference. The model reads the grid as a choreography sequence and outputs a continuous dance video. Advanced variant: upload multiple character references for beat-synced outfit transitions. 161 likes \u002F 9K views.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fdance_case13\u002Foutput.jpg\" width=\"400\" alt=\"Dance sequence grid output\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F39376245-e7c7-4812-b770-9e81acf4eca2\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate a 4×4 grid image showing a character in sequential dance poses with GPT Image 2\n2. Upload the grid as the reference image in Seedance 2.0\n3. Prompt Seedance to follow the dance sequence from the reference image\n4. (Advanced) Upload character in Outfit A, character in Outfit B, and the dance grid as three references for mid-dance outfit transitions\n\n**GPT Image 2 Prompt:**\n\n```\nTransform the input image into a stylized K-pop dance tutorial poster with a fashion-forward streetwear aesthetic, keeping the exact 4x4 grid layout (16 panels) and choreography structure.\nCore Composition\nMaintain a 16-panel grid (4 columns × 4 rows) with clean spacing\n\nEach panel shows the same female dancer performing sequential choreography\n\nPreserve panel numbering (1–16) in bold, modern UI-style labels\n\nKeep step titles and instructional captions, but redesign typography to feel like K-pop album graphics \u002F dance practice overlays\n\nSubject Styling (K-pop Idol Inspired)\n\nYoung female dancer with soft glam K-pop makeup (dewy skin, subtle shimmer, defined eyes)\n\nHair: long, sleek, slightly dynamic (motion-friendly, flowing during moves)\n\nExpression: confident, charismatic stage presence\n\nOutfit (streetwear-inspired):\n\nCropped hoodie or oversized zip-up jacket\n\nCargo pants or parachute pants with straps\n\nChunky sneakers or platform boots\n\nOptional accessories: chain necklace, ear cuffs, fingerless gloves\n\nVisual Style\n\nSwitch from plain grayscale → high-contrast + soft neon accents\n\nBase palette: black, white, gray\n\nAccent colors: neon pink, electric blue, or violet glow (subtle, not overpowering)\n\nLighting:\n\nStudio lighting with a soft glow + rim light effect\n\nSlight stage-light vibe, like a K-pop dance practice video\n\nGraphics & Effects\n\nAdd dynamic motion trails and glow accents on arms, legs, and hair movement\n\nReplace basic arrows with stylized motion graphics (neon strokes, swooshes)\n\nSubtle light streaks or particle effects for energy\n\nOptional faint floor reflection or glossy surface\n\nTypography\n\nTitles: bold, modern, slightly condensed sans-serif (K-pop album style)\n\nAdd subtle glow or gradient to titles\n\nInstruction text: clean, minimal, slightly futuristic UI style\n\nPanel numbers: inside rounded squares or pill shapes with neon outline\n\nCamera & Framing\n\nFull-body framing in each panel (consistent scale)\n\nStraight-on angle, but with slight dynamic tilt or perspective energy\n\nMaintain clarity of movement for instructional purpose\n\nMood & Energy\n\nFeels like a K-pop dance practice meets fashion editorial\n\nClean but energetic\n\nStylish, rhythmic, performance-driven\n\nImportant Constraints\n\nKeep choreography readable and sequential\n\nDo NOT merge panels or change layout\n\nMaintain consistency of dancer identity across all panels\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nCharacter from Image 1 performs the dance based on the breakdown in Image 3. Midway through the performance, they switch outfits on beat into the character from Image 2. Then, the character from Image 2 continues and completes the remaining dance steps from Image 3. Emphasize precise beat synchronization with the music\n```\n\n> [!NOTE]\n> This technique works for any movement sequence — dance, martial arts, sports. The 4×4 grid gives Seedance 16 reference frames to interpolate between, producing smoother motion than fewer panels.\n>\n> **Community variants:** [@airina_xyz](https:\u002F\u002Fx.com\u002Fairina_xyz\u002Fstatus\u002F2049830199236190326) demonstrated the basic workflow with an urban street dancer. [@Kashberg_0](https:\u002F\u002Fx.com\u002FKashberg_0\u002Fstatus\u002F2049697925262102689) used character boards + motion reference frames for K-Pop choreography (52 likes \u002F 2K views).\n\n\n\u003C!-- Case 14: Comic Page → Animated Video (by @nimentrix) -->\n### Case 14: [Comic Page → Animated Video](https:\u002F\u002Fx.com\u002Fnimentrix\u002Fstatus\u002F2049560412979708334) (by [@nimentrix](https:\u002F\u002Fx.com\u002Fnimentrix))\n\nCreate a multi-panel comic page with GPT Image 2 — diagonal layout, speech bubbles, cinematic storytelling — then animate the entire page into a video with Seedance 2.0. The model reads the comic panels as a narrative sequence and produces a continuous animated short. 330 likes \u002F 21K views \u002F 360 bookmarks.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Cstrong>GPT Image 2 Inputs\u003C\u002Fstrong>\u003Cbr>\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcomic_case14\u002Finput1.jpg\" width=\"260\" alt=\"Character reference 1 — dragon\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cbr>\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcomic_case14\u002Finput2.jpg\" width=\"260\" alt=\"Character reference 2 — boy\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cstrong>Seedance 2.0 Input\u003C\u002Fstrong>\u003Cbr>\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcomic_case14\u002Finput3.jpg\" width=\"260\" alt=\"Comic page generated by GPT Image 2\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F0b5038e2-dfca-4c65-b5d7-a719a74408b0\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Create a character design sheet (front, side, back views) with GPT Image 2 to lock the character look\n2. Generate a multi-panel comic page using the character as reference\n3. Import the comic page into Seedance 2.0 and animate\n\n**GPT Image 2 Prompt — Character sheet:**\n\n```\nCreate a character design style sheet for [describe your character]:\nfront view, side view, back view on white background.\nMake the aspect ratio 4:3.\n```\n\n**GPT Image 2 Prompt — Comic page:**\n\n```\n[Character description] and [companion], american comic multi-panel illustration,\ndiagonal layout, six panels, cinematic storytelling, clear reading flow, with speech bubbles.\n[Describe the story sequence across panels.]\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nAnimate this comic page as a cinematic sequence. Follow the panel order from top-left to bottom-right.\nSmooth transitions between panels, maintain character consistency, cinematic camera movement.\n```\n\n> [!NOTE]\n> The diagonal layout and speech bubbles give Seedance clear visual cues for panel boundaries and reading order. For best results, keep each panel's action simple and distinct. This workflow also pairs well with Suno for adding a soundtrack to the final video.\n\n\n\u003C!-- Case 25: K-Pop Choreography with Detailed Control (by @Kashberg_0) -->\n### Case 25: [K-Pop Choreography — Detailed Control](https:\u002F\u002Fx.com\u002FKashberg_0\u002Fstatus\u002F2049839091899088948) (by [@Kashberg_0](https:\u002F\u002Fx.com\u002FKashberg_0))\n\nMaximum control over dance animation: write a 16-step choreography breakdown with precise movement descriptions, generate the reference grid with GPT Image 2, then animate with Seedance 2.0. Each step gets 2–3 seconds, producing a 35–50 second continuous dance video with authentic K-pop movement quality.\n\n\u003Ctable>\u003Ctr>\n\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F1c088b5e-6305-4bf6-9377-97784d5f8fac\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Write a detailed choreography sequence (16 steps with specific dance moves)\n2. Generate a reference grid showing each step with GPT Image 2\n3. Feed the grid + full choreography description into Seedance 2.0\n4. The model follows the step sequence with smooth transitions\n\n\n**Seedance 2.0 Prompt:**\n\n```\nK-Pop Dance Sequence (16 Steps, Korean Street)\n[PROJECT TYPE]\nCinematic K-pop dance video (instruction-to-performance translation)\n[CORE REQUIREMENT — STRICT]\nThe video must faithfully follow the exact 16-step choreography shown in the reference sheet, in the same order, with accurate poses and transitions.\nNo steps added, removed, or rearranged.\n🧍‍♀️ [CHARACTER]\nKorean female dancer (K-pop idol aesthetic)\nSlim, athletic build\nSame consistent face and proportions throughout\nExpressive, confident stage presence\nNatural, fluid but sharp K-pop movement quality\n👕 [WARDROBE — K-POP STYLE]\nFitted crop top\nLoose high-waisted jeans\nSneakers\nModern idol styling (clean, trendy)\nFabric reacts naturally to movement (denim weight, subtle folds)\n📍 [LOCATION \u002F ENVIRONMENT]\nEmpty aesthetic Korean street (Seoul-inspired)\nClean urban design: narrow street, minimal signage, soft architecture\nNo people, no vehicles\nSlight cinematic depth (buildings, street lights, textures)\nLighting:\nSoft daylight or golden hour (ideal for K-pop vibe)\nBalanced highlights + gentle shadows\n🔢 [16-STEP CHOREOGRAPHY — LOCKED SEQUENCE]\nStarting Pose\nStep Touch Right\nStep Touch Left\nHip Sway Combo\nBody Roll Down\nBack Step Sweep\nQuarter Turn Pivot\nHair Flip & Pose\nSide Step Drag\nCross Behind Unwind\nBody Wave Up\nHip Circle\nStep Lock Step\nArm Sweep Pose\nChest Pop & Hit\nFinal Pose (hold 2–3 sec)\n🎥 [CAMERA DIRECTION]\nFull-body framing at all times\nStart: centered wide shot\nSmooth tracking + subtle dolly movement\nSlight angle variation (front → 3\u002F4 → side for spins)\nNo fast cuts — continuous flow\nCamera movement complements choreography, not distracts\n💃 [MOVEMENT STYLE — IMPORTANT]\nAuthentic K-pop choreography feel\nMix of:\nSharp hits (chest pop, accents)\nSmooth transitions (body waves, turns)\nClean isolations (hips, chest, arms)\nControlled spins, balanced footwork\nNo jitter, no unnatural speed\n⏱️ [TIMING]\nEach step: ~2–3 seconds\nTotal duration: ~35–50 seconds\nSeamless transitions between steps\n🎵 [MUSIC DIRECTION — VERY IMPORTANT]\nGenre: K-pop \u002F K-pop instrumental \u002F dance-pop\nTempo: 100–115 BPM\nStyle:\nClean beat drops\nPunchy percussion\nLight synth melodies\nModern idol choreography vibe\nSync Notes:\nStep transitions hit beats\nStep 8 (Hair Flip) hits a musical accent\nStep 15 (Chest Pop) synced with a strong beat hit\nFinal pose lands on a clean musical ending\n🎨 [VISUAL STYLE]\nPhotorealistic\nSlightly stylized K-pop MV tone\nSoft cinematic grading\nClean, polished, high-end look\n⚙️ [OUTPUT SETTINGS]\n4K resolution\n24–30 FPS\nHigh motion clarity\nNo distortion, no artifacts\n🚫 [RESTRICTIONS]\nNo extra dancers\nNo background crowd\nNo outfit changes\nNo deviation from choreography\nNo camera cuts that break continuity\n```\n\n> [!NOTE]\n> The more specific your step descriptions, the better Seedance follows the choreography. Name actual dance moves (body roll, hair flip, chest pop) rather than vague descriptions. This technique also works for martial arts kata, yoga flows, or any sequential movement.\n\n\n\u003C!-- Case 27: Character Intro Animation (by @0xbisc) -->\n### Case 27: [Character Intro Animation](https:\u002F\u002Fx.com\u002F0xbisc\u002Fstatus\u002F2049496584283656690) (by [@0xbisc](https:\u002F\u002Fx.com\u002F0xbisc))\n\nCreate a cyberpunk AAA game-style character introduction animation. Take any character image, redesign it as a game character with GPT Image 2, generate a cinematic intro screen, then animate the reveal with Seedance 2.0. Swap in any character — the workflow is character-agnostic. 55 likes \u002F 3K views.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fintro_case27\u002Foutput.jpg\" width=\"400\" alt=\"Character intro animation output\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fe52eaa0b-b2fa-4c35-b790-a92af05d0c82\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Start with a character image (your own art, photo, or AI-generated)\n2. Use GPT Image 2 to redesign as a cyberpunk AAA game character — keep face identity, upgrade the style\n3. Generate a cinematic intro screen with the character (dark background, dramatic lighting, title card layout)\n4. Animate the intro reveal in Seedance 2.0\n\n**GPT Image 2 Prompt — Character redesign:**\n\n```\nbased on the provided image, redesign as a cyberpunk AAA game character, keep face identity, keep original outfit, hyper-realistic game character, near-photoreal but still game-rendered, cinematic realism, in-game cutscene quality, cinematic lighting, strong contrast, realistic materials, depth of field, subject in sharp focus, background slightly blurred, strong foreground-background separation, Night City inspired environment, dense futuristic megacity, neon signage, wet streets, reflections, industrial details, fully human appearance, clean natural skin, no mechanical lines, no implants, no cyber patterns, character holding a highly designed futuristic weapon, dynamic action-ready pose, confident and intense expression, 16:9 AAA key visual, strong composition, character dominant, no logo, generate a unique character name fitting the character personality, character name in graffiti-style typography, medium-to-small size, integrated into layout, not dominant, refined character info module, editorial layout style, minimal, no background panel, only 1–2 short traits, extremely concise labels, grid-aligned typography-driven layout, Cyberpunk style UI, neon yellow text only, flat geometric layout, strict alignment, only one info module, no additional graphics, clean image, no heavy grain, no film grain, smooth surfaces, high polish, no anime, illustration, raw photography, metallic UI, gold color, cluttered layout, dense UI, boxes, background panels, color blocks, arrows, mechanical skin lines, cyber patterns\n\n```\n\n**Seedance 2.0 Prompt:**\n\n```\nindustrial cyberpunk city at night, wet reflective ground, neon lights, distant explosions, floating sparks, cinematic atmosphere\ncamera always follows the character closely, no cuts, smooth tracking\nmotion continuity, no pose popping, no animation snapping, physically coherent transitions\n0–2s:\ncharacter transitions into a low sliding movement\none hand brushing the ground for balance\nsparks and debris react dynamically\nweapon rotates forward in a smooth, deliberate motion\nbrief partial slow motion to emphasize control and flow\n2–5s:\ncharacter raises weapon and fires while still moving forward\nstylized compressed slow motion:\nmuzzle flash expands in layered light\nface and muscles illuminated\nsubtle controlled recoil\nshell casings eject in short slow-motion beats\nparticles and light distort around the shot\neyes focused strictly on target direction\nfinal precise shot lands near the end of this phase\nstrong forward impact implied (sparks \u002F explosion burst)\n5–7s:\ncharacter motion fully stops, body settles naturally into final stance\ncharacter remains still, only subtle breathing motion\ncharacter lifts head and turns toward camera for the first time, then holds eye contact steadily\ncamera performs a subtle push-in\nUI takes full visual focus:\nUI builds progressively over the entire duration:\nlight glitch and scan effects\nelements align into a clean layout\ncharacter name appears in graffiti handwritten animation, stroke-by-stroke reveal\nsecondary UI fades and slides in smoothly\n```\n\n> [!NOTE]\n> This workflow is character-agnostic — swap in any character (anime, realistic, stylized) and the pipeline adapts. The key is the two-step GPT Image 2 process: first redesign the character for the target style, then compose the intro screen layout.\n\n\n## 🎵 Music Video & Short Film\n\n\u003C!-- Case 7: Music Video with Suno (by @fukaborichannel) -->\n### Case 7: [Music Video with Suno](https:\u002F\u002Fx.com\u002Ffukaborichannel\u002Fstatus\u002F2047206670020055317) (by [@fukaborichannel](https:\u002F\u002Fx.com\u002Ffukaborichannel))\n\nThree-tool combination: GPT Image 2 for visuals, Seedance 2.0 for motion, Suno for music. Produce music first to lock the tempo and structure, then design storyboards that align to the beat.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fmusic_case7\u002Finput.jpg\" width=\"280\" alt=\"GPT Image 2 generated storyboard for MV\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fmusic_case7\u002Foutput.jpg\" width=\"280\" alt=\"Music video output frame\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Ffd4be5c7-cd02-4a77-ae07-6b80efeff201\" width=\"280\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate the target-style music in Suno — confirm song structure (intro \u002F verse \u002F chorus)\n2. Design storyboard panels per song section in GPT Image 2\n3. Animate each panel in Seedance 2.0 — match clip duration to the beat\n4. Sync clips to the music track in your editing software\n\n\n> [!NOTE]\n> Produce music first. Knowing the tempo and length before designing the storyboard lets you precisely match panel timing to beat cuts.\n\n\n\u003C!-- Case 8: Cyberpunk Style Short Film (by @ponyodong) -->\n### Case 8: [Cyberpunk Style Short Film](https:\u002F\u002Fx.com\u002Fponyodong\u002Fstatus\u002F2047210987263230133) (by [@ponyodong](https:\u002F\u002Fx.com\u002Fponyodong))\n\nUse GPT Image 2 to establish a consistent visual style (cyberpunk, neon, lanterns, feminine aesthetic), then animate each image with Seedance 2.0 to produce a short stylized film that lands between wallpaper, poster, and story opening.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcyberpunk_case8\u002Finput.jpg\" width=\"280\" alt=\"GPT Image 2 generated cyberpunk illustration\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fdb6ebb63-90dc-47c5-96c5-ab2fa53ed56d\" width=\"280\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Define the visual style system in GPT Image 2 — fix colors, lighting, and character look\n2. Generate 4–6 images that each carry the same mood\n3. Animate each image in Seedance 2.0 with slow, atmospheric motion prompts\n4. Sequence the clips to build a short visual narrative\n\n\n\u003C!-- Case 11: Japanese MV Full Toolchain (by @Tz_2022) -->\n### Case 11: [Japanese MV — Full AI Toolchain](https:\u002F\u002Fx.com\u002FTz_2022\u002Fstatus\u002F2047684399404056609) (by [@Tz_2022](https:\u002F\u002Fx.com\u002FTz_2022))\n\nFour-tool pipeline producing a complete Japanese-style music video: GPT Image 2 for visuals → Seedance 2.0 for motion → Suno 5.5 for music → CapCut for final edit. 742 likes \u002F 107K views.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fe5ce621c-7fa3-47b5-99a7-00df7741a651\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate the music in Suno 5.5 first — lock song length, tempo, and mood\n2. Design storyboard panels in GPT Image 2 timed to the song sections\n3. Animate each panel in Seedance 2.0, matching clip duration to beat\n4. Import video clips and the Suno track into CapCut — sync and export\n\n\n> [!NOTE]\n> Produce music first — knowing the beat structure before designing storyboards lets you precisely match panel timing to song cuts. This extends Case 7 (City Pop MV) by adding Suno into the loop and treating the whole pipeline as a synchronized production rather than post-assembly.\n\n\n\u003C!-- Case 20: Claude Shotlist → MV (by @CoffeeVectors) -->\n### Case 20: [Claude Shotlist → Music Video](https:\u002F\u002Fx.com\u002FCoffeeVectors\u002Fstatus\u002F2049592150581485757) (by [@CoffeeVectors](https:\u002F\u002Fx.com\u002FCoffeeVectors))\n\nUse Claude to generate a detailed shotlist (15 one-second clips with different camera angles and actions), generate a single portrait with GPT Image 2, then produce each shot with Seedance 2.0. Edit the clips together with your own Suno music for a complete MV. The AI writes the creative direction — you just execute.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fshotlist_case20\u002Finput.jpg\" width=\"400\" alt=\"Claude shotlist music video output\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fd6ba86c4-65c3-4b1d-aa3c-846667f53b5e\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate a single character portrait with GPT Image 2 as the visual anchor\n2. Ask Claude to write a 15-shot shotlist (one shot per second) with varied angles and actions\n3. Feed the portrait + each shot description into Seedance 2.0 separately\n4. Edit all clips together and sync to your music track\n\n\n**Seedance 2.0 Prompt (per shot):**\n\n```\nA 15-second prestige-TV sequence, one shot per second, scored to an apocalyptic sacred crescendo — low organ and dissonant brass through roaring choir, hammered bells, and earth-shaking timpani to a final shattering harmonic strike. Throughout: a pale young queen with white hair, a tall ornate gold filigree crown, a translucent gauze veil, and a heavily jeweled pale gown — channeler of divine fire from above. Shot entirely handheld — visible micro-shake, breath-rhythm sway, reactive whip-corrections to action, documentary-tense framing.\n1 (0–1s) Sky Opens. Handheld wide low-angle, camera tilted up. Black clouds spiral and split in a tear of white-gold light. She stands small below. Organ slams.\n2 (1–2s) Eyes To Heaven. Handheld tight close-up, slight float. Her eyes lifted, gold light on her face, a tear of fire tracking down her cheek. Choir enters.\n3 (2–3s) Hand Raised. Handheld medium, slight push-in. She raises one palm to the sky. Clouds above twist toward her gesture. Strings climb.\n4 (3–4s) First Bolt. Handheld wide. A colossal pillar of holy fire descends and splits a distant black tower. Camera jolts on impact. Hammer beat.\n5 (4–5s) The Pointing. Handheld tight medium. She extends one ringed finger slowly toward the horizon. Camera barely breathing. Bells ring.\n6 (5–6s) Bolts Rain. Handheld wide, panning to track strikes. Dozens of pillars of holy fire descend across a battlefield. Camera whips reactively to each impact. Drums hammer.\n7 (6–7s) Cloaked In Light. Handheld low-angle medium. A shaft of holy fire engulfs her without burning. Camera trembles in the pressure wave. Choir doubles.\n8 (7–8s) The Wicked Burn. Handheld tight medium. A robed figure raises a blade — consumed in white-gold fire from above, ash silhouette collapsing. Camera flinches with the strike. Bass hit.\n9 (8–9s) Walking Forward. Handheld tracking wide, operator moving with her. She advances across cracked scorched earth, pillars of fire descending in her wake. Strings shriek.\n10 (9–10s) Crown Of Lightning. Handheld tight on the crown, slight float. White-gold lightning arcs continuously between the spires. Hair lifts in charged air. Bells climb.\n11 (10–11s) Closed Fist. Handheld tight close-up. Her hand closes slowly into a fist. Vast clap of thunder. Camera shakes hard. Sustained held chord.\n12 (11–12s) The Cleansing. Handheld wide, operator on a high vantage with visible sway. A fortified city struck by a grid of descending holy fire pillars. She stands small below, untouched. Choir at full roar.\n13 (12–13s) The Quiet After. Handheld medium, breathing slowly. She lowers her hand. The storm stills. Ash falls like snow around her. Music drops to near-silence.\n14 (13–14s) Eyes Return. Handheld extreme close-up, slight float. Eyes still warm gold blink once slowly. Faintest exhale. Single sustained tone.\n15 (14–15s) The Smiting. Handheld frontal wide at dusk, settling into stillness on the final hold. She stands at the center of a vast scorched circle, horizon reduced to smoking ruin. Torn sky still glowing above her. Final shattering harmonic strike sustains.\n\nStyle: Photorealistic dark holy fantasy, prestige-TV aesthetic. Anamorphic 35mm, shallow DoF, heavy volumetric atmosphere — smoke, ash, ember haze, heat distortion, charged air shimmer. Palette of scorched bone-white, ivory, ash-gray, storm-slate, and incandescent white-gold. Painterly compositions, fine detail against destruction, organic film grain, heavy highlight bloom on the divine fire. Handheld throughout — visible micro-shake, reactive whip-corrections, breath-rhythm sway, camera flinching with every impact. No tripod stillness until the final hold. Operatic, terrifying, sovereign. The sky itself as her instrument.\n```\n\n> [!NOTE]\n> This workflow separates creative direction (Claude) from visual execution (GPT Image 2 + Seedance). It's particularly effective for music videos where you need many varied shots of the same character. The single portrait as anchor maintains consistency across all 15 clips.\n\n\n## 🎮 Game Concept\n\n\u003C!-- Case 9: Game & Interactive Content (by @AbleGPT) -->\n### Case 9: [Game & Interactive Content](https:\u002F\u002Fx.com\u002Fop7418\u002Fstatus\u002F2046854932620525750) (by [@op7418](https:\u002F\u002Fx.com\u002Fop7418))\n\nUse GPT Image 2 to generate game-style UI images (with HUD elements, skill bars, choice overlays), then animate them in Seedance 2.0 to simulate interactive game sequences. Game and illustration styles face fewer content restrictions in Seedance than realistic human footage.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fgame_case9\u002Finput.jpg\" width=\"400\" alt=\"Game UI input image\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F3d5d7525-b469-4c3b-aab9-68dc47630fdd\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate ARPG or game-UI-style images with GPT Image 2, including HUD elements\n2. Import into Seedance 2.0 and describe the interaction or combat sequence\n3. Add post-production effects (particles, glow) for polish\n\n**GPT Image 2 Prompt-2:**\n\n```\n帮我生成一个以《金瓶梅》为主题的古代 ARPG MMO 开放世界游戏的截图\n```\n**GPT Image 2 Prompt-2:**\n```\n出现 UI 选择 UI 之后变成第二张图的场景图\n```\n\n**Seedance 2.0 Prompt:**\n\n```\n选择 UI 之后变成第二张图右边的场景\n```\n\n**Variant — ARPG Game Simulation (by [@0xbisc](https:\u002F\u002Fx.com\u002F0xbisc\u002Fstatus\u002F2047315350862352715)):**\n\nOne Piece, Stranger Things, any IP — generate a game screenshot of a world that doesn't exist, then expand it into live gameplay with Seedance 2.0. 934 likes \u002F 125K views.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F983b433a-88ea-4843-9047-fc01396752fe\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**GPT Image 2 Prompt:**\n\n```\nGenerate an ARPG dialogue game screenshot inspired by [film\u002Fseries name]\n```\n\n**Seedance 2.0:** Use Image-to-Video mode. No prompt needed — Seedance reads the HUD layout and extends it into a gameplay sequence automatically.\n\n> [!NOTE]\n> Seedance 2.0 has restrictions on realistic human content. Game, anime, and illustration styles bypass most of these limitations and offer more creative range.\n\n\n\u003C!-- Case 17: Game Interface Animation Full Pipeline (by @0xInk_) -->\n### Case 17: [Game Interface Animation — Full Pipeline](https:\u002F\u002Fx.com\u002F0xInk_\u002Fstatus\u002F2048809000121360649) (by [@0xInk_](https:\u002F\u002Fx.com\u002F0xInk_))\n\nThe most viral workflow in this collection: create a complete video game interface animation from scratch. Start with a 2D character in Midjourney, convert to 3D game-ready look with GPT Image 2, design the full game UI (HUD, loading screens, menus), then animate everything with Seedance 2.0. GPT Image 2 excels here because it handles UI detail and allows iterative rework without quality loss. 2280 likes \u002F 208K views \u002F 2793 bookmarks.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fgame_case17\u002Foutput.jpg\" width=\"400\" alt=\"Game interface animation output\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fb83da8f3-3dd6-44a3-bb27-b0d59cab381a\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n\n> [!NOTE]\n> The key insight: GPT Image 2 lets you rework an image multiple times without quality degradation — perfect for iterating on UI layouts. Build the full game interface as a series of static screens, then let Seedance connect them into a seamless animation.\n\n\n\u003C!-- Case 24: GTA-Style City Game Concept (by @markgadala) -->\n### Case 24: [GTA-Style City Game Concept](https:\u002F\u002Fx.com\u002Fmarkgadala\u002Fstatus\u002F2048560337960489385) (by [@markgadala](https:\u002F\u002Fx.com\u002Fmarkgadala))\n\nCreate any version of GTA you want in 5 minutes. Generate game UI screenshots set in any city (Tokyo, Lagos, Mumbai) with GPT Image 2, then animate into gameplay footage with Seedance 2.0. The result looks like a real game trailer for a game that doesn't exist. 99 likes \u002F 8.7K views.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fd3b0a7b9-827a-47f6-b24e-eabfacf3e892\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Define your GTA variant — city, era, visual style\n2. Generate game screenshots with GPT Image 2: third-person view, HUD overlay, city environment\n3. Import into Seedance 2.0 and animate as gameplay footage\n4. Assemble clips into a trailer\n\n\n> [!NOTE]\n> This extends Case 9's game concept approach to open-world city games specifically. The HUD elements (minimap, health bar, wanted stars) are what sell the \"real game\" illusion. Works for any city — the more specific your street-level details, the more convincing the result.\n\n\n## 🛠 Production Tools\n\n\u003C!-- Case 18: Single Agent Automated Workflow (by @venturetwins) -->\n### Case 18: [Single Agent Automated Workflow](https:\u002F\u002Fx.com\u002Fventuretwins\u002Fstatus\u002F2048526911056613586) (by [@venturetwins](https:\u002F\u002Fx.com\u002Fventuretwins))\n\nThe zero-effort approach: tell a single AI agent (like Glif) what you want, and it handles the entire pipeline — generating the storyboard with GPT Image 2 and animating it with Seedance 2.0 — in one conversation. No manual file transfers, no prompt engineering per step. 934 likes \u002F 70K views.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fagent_case18\u002Foutput.jpg\" width=\"400\" alt=\"Single agent automated workflow output\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fcc01849d-ee9b-47af-a7b0-d13250a001e0\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n\n\u003C!-- Case 21: Casting Grid Actor Audition (by @8fstudioz) -->\n### Case 21: [Casting Grid — Actor Audition](https:\u002F\u002Fx.com\u002F8fstudioz\u002Fstatus\u002F2049547426198151627) (by [@8fstudioz](https:\u002F\u002Fx.com\u002F8fstudioz))\n\nSave credits by auditioning 4 actors from one generation. Generate a 4-panel casting grid with GPT Image 2 showing different actors for the same role, then test each one in Seedance 2.0 with the same dialogue line. Find out which actor is worth spending more credits on before committing to a full video.\n\n\u003Ctable>\u003Ctr>\n\u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fevolink.ai\u002Fgpt-image-2-prompts?utm_source=github&utm_medium=picture&utm_campaign=gptimage2-x-seedance2\">\u003Cimg src=\"images\u002Fcasting_case21\u002Finput.jpg\" width=\"400\" alt=\"Casting grid input\">\u003C\u002Fa>\u003C\u002Ftd>\n\u003Ctd align=\"center\">\u003Cvideo src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fdcdd958f-70cd-43f6-b191-4e0715fe2472\" width=\"400\" controls>\u003C\u002Fvideo>\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftable>\n\n**Steps:**\n\n1. Generate a 4-panel casting grid with GPT Image 2 — same role, 4 different actors\n2. Test each actor individually in Seedance 2.0 with the same dialogue and action\n3. Compare performance quality (eye contact, expression, movement)\n4. Invest remaining credits only in the winning actor\n\n**GPT Image 2 Prompt:**\n\n```\nCreate a 16:9 horizontal cinematic casting board showing 4 different actor candidates for the same role.\n\nStyle:\n[INSERT VISUAL STYLE]\nExamples: CGI AAA video game cinematic, photorealistic, anime, stylized 3D\n\nRole brief:\n[INSERT ROLE DESCRIPTION]\nDescribe the type of lead or character the user is casting for.\n\nWorld \u002F genre:\n[INSERT WORLD OR GENRE]\nExamples: spy-action thriller, fantasy RPG, sci-fi adventure, crime dra","该项目旨在通过结合GPT Image 2和Seedance 2.0来生成高质量的AI视频。GPT Image 2负责图像内容的生成及视觉一致性，而Seedance 2.0则专注于将这些图像动画化为视频。其核心技术特点在于利用了先进的自然语言处理与计算机视觉技术，实现了从文本到动态影像的高效转换。适用于需要快速创作富有创意且质量上乘的视频内容的各种场景，如广告制作、社交媒体内容生产以及个人创意表达等。项目提供了详尽的工作流程示例和提示模板，便于用户根据自身需求定制化使用。",2,"2026-06-11 03:31:12","CREATED_QUERY"]