GPT Image 2 × Seedance 2.5 Workflow Guide

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# GPT Image 2 × Seedance 2.5 Confirm the image with GPT Image 2, then animate it with Seedance 2.5. A workflow guide for product ads, character shots and storyboards, with agent and API entry points. > Documentation and schema checked on 2026-10-21. The new tutorial is repository-authored instructional material, with no claimed live generation result or measured performance. ## Quick start **Seedance 2.5 — Available on EvoLink** [EvoLink MCP / CLI](https://evolink.ai/mcp?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=agent_setup) · [Seedance 2.5](https://evolink.ai/seedance-2-5?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=model) · [API key](https://evolink.ai/dashboard/keys?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=api_key) · [Sign up](https://evolink.ai/signup?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=signup) Use the MCP setup page for a supported remote client. For a terminal agent, install the CLI below (Node.js 22+), sign in in your browser, then install its companion skill. Ask the agent to check both chosen models, inputs and costs before each generation. ```bash npm install -g @evolinkai/cli@latest evolink auth login evolink skills install evolink models schema gpt-image-2 --json evolink models schema seedance-2.5-image-to-video --json ``` ```text Use EvoLink to turn my product photo into a five-second product video. Use GPT Image 2 for one 16:9 scene, then Seedance 2.5 for animation. Check current inputs, parameters and costs first; ask me before each paid task. Show me the image before creating the video. Keep the product still and use a gentle camera push-in. No dialogue or music; request silent video. Inspect product details instead of promising exact logo or identity preservation. Pass the approved image URL as the first frame with aspect_ratio=adaptive. Poll the original task ID, then return the video and save a local copy. ``` ## Product photo to video Prepare a product photo you can use and a public image URL, or upload the local file through your agent. Generate one 16:9 product scene with GPT Image 2. Review the product, logo, layout and image dimensions. Pass the approved image result URL to Seedance 2.5 as a first frame. Check the original task until it finishes, save the video, and add final typography in your editor. [Complete API walkthrough (English)](docs/api-workflow.md) · [GPT Image 2 API](https://evolink.ai/docs/en/api-manual/image-series/gpt-image-2/gpt-image-2-image-generation?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=image_docs) · [Seedance 2.5 I2V API](https://evolink.ai/docs/en/api-manual/video-series/seedance2.5/seedance-2.5-image-to-video?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=video_docs) ```bash # Set EVOLINK_API_KEY in your environment; use a real approved image URL. export APPROVED_IMAGE_URL="https://your-public-host.example/approved-scene.png" jq -n --arg image "$APPROVED_IMAGE_URL" '{ model: "seedance-2.5-image-to-video", prompt: "Five-second product shot. The product stays still; gentle camera push-in. No dialogue or music.", image_urls: [$image], duration: 5, quality: "720p", aspect_ratio: "adaptive", generate_audio: false }' > video-request.json curl --fail-with-body --request POST \ https://api.evolink.ai/v1/videos/generations \ --header "Authorization: Bearer ${EVOLINK_API_KEY}" \ --header 'Content-Type: application/json' \ --data-binary @video-request.json --output video-created.json # Save .id from video-created.json; task creation is not video completion. ``` ## Optional: draft to final Set top-level `draft: true` and `quality: "480p"` on the video request. Review the completed draft, then submit its `source_task_id` to `seedance-2.5-draft-to-video` for a 1080p final. Both requests are charged separately. Conversion normally expires 24 hours after the draft completes; use the returned `draft_expires_at` and allow for queue time. If draft mode is unavailable, stop or explicitly choose normal generation and its cost. ```json { "model": "seedance-2.5-draft-to-video", "source_task_id": "YOUR_COMPLETED_UNEXPIRED_DRAFT_TASK_ID", "output_format": "mp4" } ``` [Draft → 1080p](docs/api-workflow.md#optional-draft-to-final) · [Pricing](https://evolink.ai/seedance-2-5?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=pricing) ## Historical community examples These examples retain their original model/platform descriptions, prompts, creator links and media. Seedance 2.0 examples are historical references, not Seedance 2.5 API tests. Model labels inherited from earlier repository edits have not all been rechecked against the source posts. Use the route notes to adapt the idea, then validate a new output yourself. Source prompts are creative instructions, not an API parameter contract. ## 📑 Menu - [Quick start](#quick-start) - [Product photo to video](#product-workflow) - [Optional: draft to final](#draft-workflow) - [Historical community examples](#community-examples) - [Parameters and practical checks](#parameters) - [Related resources](#related-resources) - [🎥 Storyboard Techniques](#-storyboard-techniques) - [Case 1: Standard Storyboard → Video (by @kiyoshi_shin)](#case-1) - [Case 2: 3×3 Grid Storyboard Method (by @servasyy_ai)](#case-2) - [Case 10: Multi-Frame Reference → Fast-Cut Video (by @heygentlewhale)](#case-10) - [Case 19: Storyboard-First Cost Control (by @0xbisc)](#case-19) - [📱 Commercial & Product](#-commercial--product) - [Case 5: App MVP Demo Video (by @Shin_Engineer)](#case-5) - [Case 6: 15-Second Commercial (by @ai_mitosan)](#case-6) - [Case 15: Luxury Commercial — Storyboard to Film (by @insmind_com)](#case-15) - [Case 16: Cinematic Food Video (by @kingofdairyque)](#case-16) - [Case 26: Product Image → Short Video Ad (by @insmind_com)](#case-26) - [🎨 Animation & Character](#-animation--character) - [Case 3: Character Sheet → Animation (by @YaReYaRu30Life)](#case-3) - [Case 4: Anime OP Style Video (by @Toshi_nyaruo_AI)](#case-4) - [Case 12: Claude Code × Character Sheet → Animation (by @old_pgmrs_will)](#case-12) - [Case 13: Dance Sequence Grid → Dance Video (by @Ciri_ai)](#case-13) - [Case 14: Comic Page → Animated Video (by @nimentrix)](#case-14) - [Case 25: K-Pop Choreography — Detailed Control (by @Kashberg_0)](#case-25) - [Case 27: Character Intro Animation (by @0xbisc)](#case-27) - [🎵 Music Video & Short Film](#-music-video--short-film) - [Case 7: Music Video with Suno (by @fukaborichannel)](#case-7) - [Case 8: Cyberpunk Style Short Film (by @ponyodong)](#case-8) - [Case 11: Japanese MV — Full AI Toolchain (by @Tz_2022)](#case-11) - [Case 20: Claude Shotlist → Music Video (by @CoffeeVectors)](#case-20) - [🎮 Game Concept](#-game-concept) - [Case 9: Game & Interactive Content (by @op7418)](#case-9) - [Case 17: Game Interface Animation — Full Pipeline (by @0xInk_)](#case-17) - [Case 24: GTA-Style City Game Concept (by @markgadala)](#case-24) - [🛠 Production Tools](#-production-tools) - [Case 18: Single Agent Automated Workflow (by @venturetwins)](#case-18) - [Case 21: Casting Grid — Actor Audition (by @8fstudioz)](#case-21) - [Case 22: 3D Sculpt → AI Render → Animation (by @_DAntunes_)](#case-22) - [🌟 Community Showcase](#-community-showcase) ## 🎥 Storyboard Techniques ### Case 1: [Standard Storyboard → Video](https://x.com/kiyoshi_shin/status/2047133524403400847) (by [@kiyoshi_shin](https://x.com/kiyoshi_shin)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) The 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.

**Steps:** 1. Describe your scene to GPT Image 2 and generate a storyboard image 2. Import the storyboard into Seedance 2.0 using Image-to-Video mode 3. Export each clip and assemble in your editing software **GPT Image 2 Prompt:** ``` Create a 6-panel storyboard for a 15-second brand promotional video. Label each panel with a shot description. Style: cinematic, cool color tone, widescreen 16:9. Content: the journey of a product from factory to the customer's hands. ``` **Seedance 2.0 Prompt:** ``` Cinematic brand advertisement, slow camera push-in, product centered in frame, warm side lighting, soft background blur, no people, 3 seconds. ``` > [!NOTE] > Current 2.5 requests generate 4–30 seconds; trim shorter shots in editing. Prepare the image ratio before I2V, which only accepts adaptive. 24fps in a prompt is not an API frame-rate setting. ### Case 2: [3×3 Grid Storyboard Method](https://x.com/servasyy_ai/status/2047198012750143999) (by [@servasyy_ai](https://x.com/servasyy_ai)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) This community grid technique is an experiment. A grid may communicate sequence intent, but the repository has no controlled test showing a lower failure rate or more accurate motion.

**Steps:** 1️⃣ Input the content you want to create + the ✅ prompt “Create a storyboard in a 3×3 grid format” 2️⃣ Create a prompt from the image in 1 with ChatGPT 3️⃣ Reference the image from 1 in seedance 4️⃣ Input the prompt created in 2. **GPT Image 2 Prompt:** ``` [describe your scene] and Create a storyboard in a 3×3 grid format ``` **Seedance 2.0 Prompt:** turn this image into video ``` [Describe the motion and style. Example: Japanese full-color animation, fast cuts, high frame count, 24fps, dark fantasy anime OP style, intense battle scenes.] ``` > [!NOTE] > This community grid technique is an experiment. A grid may communicate sequence intent, but the repository has no controlled test showing a lower failure rate or more accurate motion. ### Case 10: [Multi-Frame Reference → Fast-Cut Video](https://x.com/heygentlewhale/status/2047969137969004946) (by [@heygentlewhale](https://x.com/heygentlewhale)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Feed 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.

**Steps:** 1. Generate a multi-panel storyboard image in GPT Image 2 (12 frames, 3×4 or 4×3 grid) 2. Upload the storyboard as the reference image in Seedance 2.0 3. Write a sequencing prompt that names the frame count and edit style **GPT Image 2 Prompt:** ``` Create a 12-panel storyboard grid for a [N]-second [genre] film: - 4 columns × 3 rows, left-to-right, top-to-bottom reading order - Each panel: [shot type] + [action description] - Location: [setting], Time: [day/night], Mood: [atmosphere] - Consistent character design and scene across all panels - No text labels, no panel borders Output as a single image. ``` **Seedance 2.0 Prompt:** ``` Follow the storyboard sequence of the 12 reference frames in image1, edited as a fast-cut memory montage. [Describe visual style — example below:] A nostalgic romance film set in 1990s Singapore, shot on 35mm film in Kodak Portra 800 style. Soft grain, dreamy blur, warm highlights, and slight color shifts create a vintage cinematic atmosphere. ``` **Universal sequencing prompt (via [@ai_gezgini](https://x.com/ai_gezgini/status/2047349122315805016)):** ``` Use this storyboard to generate a video, follow the scene order, keep transitions smooth, and preserve cinematic lighting and pacing. [Add any extra visual details you want.] ``` > [!NOTE] > This community grid technique is an experiment. A grid may communicate sequence intent, but the repository has no controlled test showing a lower failure rate or more accurate motion. ### Case 19: [Storyboard-First Cost Control](https://x.com/0xbisc/status/2049100073481716076) (by [@0xbisc](https://x.com/0xbisc)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Review the storyboard before spending on video. Savings depend on image settings, video settings and the number of revisions; no fixed 10–50× cost ratio or universally cheapest workflow is established here.

**Steps:** 1. Generate an 8-panel storyboard grid with GPT Image 2 2. Review each panel — regenerate or edit individual panels until satisfied 3. Only when the full storyboard is locked, import into Seedance 2.0 4. Generate the video in one shot from the finalized storyboard **GPT Image 2 Prompt:** ``` Create a single cinematic storyboard image containing 8 panels, arranged in a 4-column horizontal grid layout across the canvas. Panels are evenly distributed in 4 columns, forming a balanced multi-row composition. Use generous white space between panels and around the entire layout, creating a calm, refined editorial presentation. Minimalist editorial design, white background, precise alignment, consistent spacing, strong grid system. Subtle divider lines, ultra-thin, low-contrast, neutral tone, strictly aligned to the grid. Each panel is presented as a clean modular card with a clear hierarchy: image frame on top, minimal text block below. Refined modern sans-serif typography, light to regular weight, tight typographic control, consistent scale rhythm. Visual 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. Style: 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. Cinematic sequence: Scene 01 Shot type Wide shot, low-angle tracking Narrative Dragon skims rapidly above ground toward vast geometric ruins, rider standing steadily, bright daylight Scene 02 Shot type Wide shot, side view Narrative Dragon enters ruin airspace, stone structures begin sinking and shifting, geometry reconfigures Scene 03 Shot type Medium shot, tracking Narrative Dragon navigates through moving structures forming a spatial maze, rider leans forward, focused Scene 04 Shot type Push-in shot, centered composition Narrative Massive floating ring appears at center, glowing sphere suspended inside, focal point established Scene 05 Shot type Wide-angle, low-angle tracking, high speed Narrative Dragon dives through narrow moving gaps, massive structures pass extremely close, intense speed and compression Scene 06 Shot type Close-up, centered composition Narrative Rider reaches forward to grasp glowing sphere, golden light illuminating face and arm Scene 07 Shot type Wide shot, upward motion Narrative Dragon ascends sharply as ruins collapse below, structures sinking and closing, dust fills air Scene 08 Shot type Wide shot, high-angle view Narrative Dragon exits above collapsed ruins, open sky, clear silhouette of rider and dragon, resolution moment ``` **Seedance 2.0 Prompt:** ``` Generate 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. ``` > [!NOTE] > Review the storyboard before spending on video. Savings depend on image settings, video settings and the number of revisions; no fixed 10–50× cost ratio or universally cheapest workflow is established here. ## 📱 Commercial & Product ### Case 5: [App MVP Demo Video](https://x.com/Shin_Engineer/status/2047182050323812381) (by [@Shin_Engineer](https://x.com/Shin_Engineer)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Use 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. | Output | | :----: | |

GPT Image 2 generated app UI screenshot 1

**Steps:** 1. Describe your app concept and design language to GPT Image 2 2. Generate 3–5 key UI screenshots (home, feature, profile pages) 3. Sort screenshots in user-flow order and import into Seedance 2.0 4. Export the demo video and post it to test market reaction **GPT Image 2 Prompt:** ``` Design [N] UI screenshots for a "[app concept]" app: 1. [Page 1 name and description] 2. [Page 2 name and description] 3. [Page 3 name and description] Style: [iOS/Android] native design language, [primary color] accent, [light/dark] mode. Output as realistic app screenshots, not wireframes or mockups. ``` **Seedance 2.0 Prompt:** ``` Smooth app UI transition animation, screen tap interaction, natural interface motion, clean and modern feel, 3 seconds. ``` > [!NOTE] > Present this as an AI-generated concept demo; distinguish imagined screens and interactions from features that actually work. ### Case 6: [15-Second Commercial](https://x.com/ai_mitosan/status/2047146600422846762) (by [@ai_mitosan](https://x.com/ai_mitosan)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) > Current 2.5 requests generate 4–30 seconds; trim shorter shots in editing. Prepare the image ratio before I2V, which only accepts adaptive. 24fps in a prompt is not an API frame-rate setting. Two-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.

**Steps:** 1. Generate the main image + storyboard with image2 2. Feed that into Seedance2.0 to turn it into a video **Storyboard count guide:** | Video length | Panels | Duration per clip | | :---: | :---: | :---: | | 15 seconds | 4–5 | 3–4 seconds | | 30 seconds | 8–10 | 3 seconds | | 60 seconds | 15–18 | 3–4 seconds | **GPT Image 2 Prompt:** ``` 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。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。 ``` **Seedance 2.0 Prompt:** ``` 15秒、８カット、マルチショット、ライティング重視 ``` ### Case 15: [Luxury Commercial — Storyboard to Film](https://x.com/insmind_com/status/2049481439285223785) (by [@insmind_com](https://x.com/insmind_com)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Generate 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 / 84K views / 255 bookmarks.

**Steps:** 1. Generate a 12-frame storyboard grid (3×4) with GPT Image 2, using editorial layout and luxury brand aesthetics 2. Import the storyboard grid into Seedance 2.0 as a single reference image 3. Prompt Seedance to animate the sequence as a cinematic luxury commercial 4. Add music and final color grade in your editing software **GPT Image 2 Prompt:** ``` Create a high-end 9:16 luxury fragrance pitch deck storyboard in 3x4 grid (12 frames), editorial layout, Aesop/Byredo 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 ``` **Seedance 2.0 Prompt:** ``` Animate 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 ``` > [!NOTE] > This community grid technique is an experiment. A grid may communicate sequence intent, but the repository has no controlled test showing a lower failure rate or more accurate motion. ### Case 16: [Cinematic Food Video](https://x.com/kingofdairyque/status/2049812014596599834) (by [@kingofdairyque](https://x.com/kingofdairyque)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Use GPT Image 2 + Seedance 2.5 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 / 1K views.

**Steps:** 1. Write a detailed timestamped shot list describing each 2-second segment 2. Generate the storyboard image with GPT Image 2 based on the shot list 3. Feed the image + full timestamped prompt into Seedance 2.0 4. The model follows the timestamp structure to produce a coherent cooking sequence **Seedance 2.0 Prompt:** ``` Ultra-realistic cinematic 15-second vertical video (9:16), 4K, dark rustic wooden table, soft dramatic lighting, shallow depth of field, natural textures, no text, no subtitles, no music. [0-2s] Top-down shot: hands gently touch a bowl of [ingredient]. Subtle ambient movement. [2-4s] Side close shot: [preparation action] in slow motion, catching warm light. [4-6s] Macro shot: hands [action]. Texture detail visible. [6-8s] 45-degree angle: [ingredient] pours into [vessel]. Natural bounce and movement. [8-10s] Top angled close-up: hands carefully [assembly action]. Precise controlled motion. [10-12s] Side shot: oven door opens. Warm golden light spills out with gentle steam. [12-14s] Close-up: [finishing touch]. Surface becomes glossy, light reflecting softly. [14-15s] Final frontal shot: finished [dish] on rustic table. Hands enter frame softly. ``` > [!NOTE] > This community grid technique is an experiment. A grid may communicate sequence intent, but the repository has no controlled test showing a lower failure rate or more accurate motion. ### Case 26: [Product Image → Short Video Ad](https://x.com/insmind_com/status/2049843814337306974) (by [@insmind_com](https://x.com/insmind_com)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Turn 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/Reels-ready content from product photos you already have.

**Steps:** 1. Input product images. 2. Generate the core scene. 3. Define motion and structure. 4. Style and constraints > [!NOTE] > 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. ## 🎨 Animation & Character ### Case 3: [Character Sheet → Animation](https://x.com/YaReYaRu30Life/status/2047203375314571501) (by [@YaReYaRu30Life](https://x.com/YaReYaRu30Life)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Generate 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.

**Steps:** 1. 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 2. Create a storyboard based on this three-view drawing 3. Turn the storyboard into video using Seedance2.0 **GPT Image 2 Prompt:** ``` Create a storyboard based on this three-view drawing ``` **Seedance 2.0 Prompt:** ``` Turn the storyboard into video using Seedance2.0 ``` ### Case 4: [Anime OP Style Video](https://x.com/Toshi_nyaruo_AI/status/2047216971184546231) (by [@Toshi_nyaruo_AI](https://x.com/Toshi_nyaruo_AI)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Use 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.

**Steps:** 1. Grok come up with lyrics for a fictional anime openin 2. used GPT-image2 to turn the lyrics into a storyboard 3. use seedance2 to generate videos **GPT Image 2 Prompt:** ``` turn the lyrics into a storyboard ``` **Seedance 2.0 Prompt:** ``` Japanese 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. ``` > [!NOTE] > 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. ### Case 12: [Claude Code × Character Sheet → Animation](https://x.com/old_pgmrs_will/status/2045091769180914019) (by [@old_pgmrs_will](https://x.com/old_pgmrs_will)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Use 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 / 7K views.

Claude Code + GPT Image 2 character key visual

**Steps:** 1. Use Claude Code to draft world-building notes and a structured character spec (name, appearance, personality, setting) 2. Feed the character spec directly into GPT Image 2 to generate a key visual or character sheet 3. Use the key visual as the reference image in Seedance 2.0 and animate > [!NOTE] > 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. ### Case 13: [Dance Sequence Grid → Dance Video](https://x.com/Ciri_ai/status/2049034340160704643) (by [@Ciri_ai](https://x.com/Ciri_ai)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Generate 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 / 9K views.

**Steps:** 1. Generate a 4×4 grid image showing a character in sequential dance poses with GPT Image 2 2. Upload the grid as the reference image in Seedance 2.0 3. Prompt Seedance to follow the dance sequence from the reference image 4. (Advanced) Upload character in Outfit A, character in Outfit B, and the dance grid as three references for mid-dance outfit transitions **GPT Image 2 Prompt:** ``` Transform 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. Core Composition Maintain a 16-panel grid (4 columns × 4 rows) with clean spacing Each panel shows the same female dancer performing sequential choreography Preserve panel numbering (1–16) in bold, modern UI-style labels Keep step titles and instructional captions, but redesign typography to feel like K-pop album graphics / dance practice overlays Subject Styling (K-pop Idol Inspired) Young female dancer with soft glam K-pop makeup (dewy skin, subtle shimmer, defined eyes) Hair: long, sleek, slightly dynamic (motion-friendly, flowing during moves) Expression: confident, charismatic stage presence Outfit (streetwear-inspired): Cropped hoodie or oversized zip-up jacket Cargo pants or parachute pants with straps Chunky sneakers or platform boots Optional accessories: chain necklace, ear cuffs, fingerless gloves Visual Style Switch from plain grayscale → high-contrast + soft neon accents Base palette: black, white, gray Accent colors: neon pink, electric blue, or violet glow (subtle, not overpowering) Lighting: Studio lighting with a soft glow + rim light effect Slight stage-light vibe, like a K-pop dance practice video Graphics & Effects Add dynamic motion trails and glow accents on arms, legs, and hair movement Replace basic arrows with stylized motion graphics (neon strokes, swooshes) Subtle light streaks or particle effects for energy Optional faint floor reflection or glossy surface Typography Titles: bold, modern, slightly condensed sans-serif (K-pop album style) Add subtle glow or gradient to titles Instruction text: clean, minimal, slightly futuristic UI style Panel numbers: inside rounded squares or pill shapes with neon outline Camera & Framing Full-body framing in each panel (consistent scale) Straight-on angle, but with slight dynamic tilt or perspective energy Maintain clarity of movement for instructional purpose Mood & Energy Feels like a K-pop dance practice meets fashion editorial Clean but energetic Stylish, rhythmic, performance-driven Important Constraints Keep choreography readable and sequential Do NOT merge panels or change layout Maintain consistency of dancer identity across all panels ``` **Seedance 2.0 Prompt:** ``` Character 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 ``` > [!NOTE] > This community grid technique is an experiment. A grid may communicate sequence intent, but the repository has no controlled test showing a lower failure rate or more accurate motion. > > **Community variants:** [@airina_xyz](https://x.com/airina_xyz/status/2049830199236190326) demonstrated the basic workflow with an urban street dancer. [@Kashberg_0](https://x.com/Kashberg_0/status/2049697925262102689) used character boards + motion reference frames for K-Pop choreography (52 likes / 2K views). ### Case 14: [Comic Page → Animated Video](https://x.com/nimentrix/status/2049560412979708334) (by [@nimentrix](https://x.com/nimentrix)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Create 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 / 21K views / 360 bookmarks.

GPT Image 2 Inputs

Seedance 2.0 Input

**Steps:** 1. Create a character design sheet (front, side, back views) with GPT Image 2 to lock the character look 2. Generate a multi-panel comic page using the character as reference 3. Import the comic page into Seedance 2.0 and animate **GPT Image 2 Prompt — Character sheet:** ``` Create a character design style sheet for [describe your character]: front view, side view, back view on white background. Make the aspect ratio 4:3. ``` **GPT Image 2 Prompt — Comic page:** ``` [Character description] and [companion], american comic multi-panel illustration, diagonal layout, six panels, cinematic storytelling, clear reading flow, with speech bubbles. [Describe the story sequence across panels.] ``` **Seedance 2.0 Prompt:** ``` Animate this comic page as a cinematic sequence. Follow the panel order from top-left to bottom-right. Smooth transitions between panels, maintain character consistency, cinematic camera movement. ``` > [!NOTE] > 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. ### Case 25: [K-Pop Choreography — Detailed Control](https://x.com/Kashberg_0/status/2049839091899088948) (by [@Kashberg_0](https://x.com/Kashberg_0)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) The source choreography describes a longer finished sequence. For EvoLink Seedance 2.5, split or compress it into requests of at most 30 seconds and assemble or extend the results; the historical prompt is not a supported 35–50 second single-call example.

**Steps:** 1. Write a detailed choreography sequence (16 steps with specific dance moves) 2. Generate a reference grid showing each step with GPT Image 2 3. Feed the grid + full choreography description into Seedance 2.0 4. The model follows the step sequence with smooth transitions **Seedance 2.0 Prompt:** ``` K-Pop Dance Sequence (16 Steps, Korean Street) [PROJECT TYPE] Cinematic K-pop dance video (instruction-to-performance translation) [CORE REQUIREMENT — STRICT] The video must faithfully follow the exact 16-step choreography shown in the reference sheet, in the same order, with accurate poses and transitions. No steps added, removed, or rearranged. 🧍‍♀️ [CHARACTER] Korean female dancer (K-pop idol aesthetic) Slim, athletic build Same consistent face and proportions throughout Expressive, confident stage presence Natural, fluid but sharp K-pop movement quality 👕 [WARDROBE — K-POP STYLE] Fitted crop top Loose high-waisted jeans Sneakers Modern idol styling (clean, trendy) Fabric reacts naturally to movement (denim weight, subtle folds) 📍 [LOCATION / ENVIRONMENT] Empty aesthetic Korean street (Seoul-inspired) Clean urban design: narrow street, minimal signage, soft architecture No people, no vehicles Slight cinematic depth (buildings, street lights, textures) Lighting: Soft daylight or golden hour (ideal for K-pop vibe) Balanced highlights + gentle shadows 🔢 [16-STEP CHOREOGRAPHY — LOCKED SEQUENCE] Starting Pose Step Touch Right Step Touch Left Hip Sway Combo Body Roll Down Back Step Sweep Quarter Turn Pivot Hair Flip & Pose Side Step Drag Cross Behind Unwind Body Wave Up Hip Circle Step Lock Step Arm Sweep Pose Chest Pop & Hit Final Pose (hold 2–3 sec) 🎥 [CAMERA DIRECTION] Full-body framing at all times Start: centered wide shot Smooth tracking + subtle dolly movement Slight angle variation (front → 3/4 → side for spins) No fast cuts — continuous flow Camera movement complements choreography, not distracts 💃 [MOVEMENT STYLE — IMPORTANT] Authentic K-pop choreography feel Mix of: Sharp hits (chest pop, accents) Smooth transitions (body waves, turns) Clean isolations (hips, chest, arms) Controlled spins, balanced footwork No jitter, no unnatural speed ⏱️ [TIMING] Each step: ~2–3 seconds Total duration: ~35–50 seconds Seamless transitions between steps 🎵 [MUSIC DIRECTION — VERY IMPORTANT] Genre: K-pop / K-pop instrumental / dance-pop Tempo: 100–115 BPM Style: Clean beat drops Punchy percussion Light synth melodies Modern idol choreography vibe Sync Notes: Step transitions hit beats Step 8 (Hair Flip) hits a musical accent Step 15 (Chest Pop) synced with a strong beat hit Final pose lands on a clean musical ending 🎨 [VISUAL STYLE] Photorealistic Slightly stylized K-pop MV tone Soft cinematic grading Clean, polished, high-end look ⚙️ [OUTPUT SETTINGS] 4K resolution 24–30 FPS High motion clarity No distortion, no artifacts 🚫 [RESTRICTIONS] No extra dancers No background crowd No outfit changes No deviation from choreography No camera cuts that break continuity ``` > [!NOTE] > The source choreography describes a longer finished sequence. For EvoLink Seedance 2.5, split or compress it into requests of at most 30 seconds and assemble or extend the results; the historical prompt is not a supported 35–50 second single-call example. ### Case 27: [Character Intro Animation](https://x.com/0xbisc/status/2049496584283656690) (by [@0xbisc](https://x.com/0xbisc)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Create 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 / 3K views.

**Steps:** 1. Start with a character image (your own art, photo, or AI-generated) 2. Use GPT Image 2 to redesign as a cyberpunk AAA game character — keep face identity, upgrade the style 3. Generate a cinematic intro screen with the character (dark background, dramatic lighting, title card layout) 4. Animate the intro reveal in Seedance 2.0 **GPT Image 2 Prompt — Character redesign:** ``` based 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 ``` **Seedance 2.0 Prompt:** ``` industrial cyberpunk city at night, wet reflective ground, neon lights, distant explosions, floating sparks, cinematic atmosphere camera always follows the character closely, no cuts, smooth tracking motion continuity, no pose popping, no animation snapping, physically coherent transitions 0–2s: character transitions into a low sliding movement one hand brushing the ground for balance sparks and debris react dynamically weapon rotates forward in a smooth, deliberate motion brief partial slow motion to emphasize control and flow 2–5s: character raises weapon and fires while still moving forward stylized compressed slow motion: muzzle flash expands in layered light face and muscles illuminated subtle controlled recoil shell casings eject in short slow-motion beats particles and light distort around the shot eyes focused strictly on target direction final precise shot lands near the end of this phase strong forward impact implied (sparks / explosion burst) 5–7s: character motion fully stops, body settles naturally into final stance character remains still, only subtle breathing motion character lifts head and turns toward camera for the first time, then holds eye contact steadily camera performs a subtle push-in UI takes full visual focus: UI builds progressively over the entire duration: light glitch and scan effects elements align into a clean layout character name appears in graffiti handwritten animation, stroke-by-stroke reveal secondary UI fades and slides in smoothly ``` > [!NOTE] > 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. ## 🎵 Music Video & Short Film ### Case 7: [Music Video with Suno](https://x.com/fukaborichannel/status/2047206670020055317) (by [@fukaborichannel](https://x.com/fukaborichannel)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Three-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.

**Steps:** 1. Generate the target-style music in Suno — confirm song structure (intro / verse / chorus) 2. Design storyboard panels per song section in GPT Image 2 3. Animate each panel in Seedance 2.0 — match clip duration to the beat 4. Sync clips to the music track in your editing software > [!NOTE] > Produce music first. Knowing the tempo and length before designing the storyboard lets you precisely match panel timing to beat cuts. ### Case 8: [Cyberpunk Style Short Film](https://x.com/ponyodong/status/2047210987263230133) (by [@ponyodong](https://x.com/ponyodong)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Use 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.

GPT Image 2 generated cyberpunk illustration

**Steps:** 1. Define the visual style system in GPT Image 2 — fix colors, lighting, and character look 2. Generate 4–6 images that each carry the same mood 3. Animate each image in Seedance 2.0 with slow, atmospheric motion prompts 4. Sequence the clips to build a short visual narrative ### Case 11: [Japanese MV — Full AI Toolchain](https://x.com/Tz_2022/status/2047684399404056609) (by [@Tz_2022](https://x.com/Tz_2022)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Four-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 / 107K views.

**Steps:** 1. Generate the music in Suno 5.5 first — lock song length, tempo, and mood 2. Design storyboard panels in GPT Image 2 timed to the song sections 3. Animate each panel in Seedance 2.0, matching clip duration to beat 4. Import video clips and the Suno track into CapCut — sync and export > [!NOTE] > 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. ### Case 20: [Claude Shotlist → Music Video](https://x.com/CoffeeVectors/status/2049592150581485757) (by [@CoffeeVectors](https://x.com/CoffeeVectors)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Use 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.

**Steps:** 1. Generate a single character portrait with GPT Image 2 as the visual anchor 2. Ask Claude to write a 15-shot shotlist (one shot per second) with varied angles and actions 3. Feed the portrait + each shot description into Seedance 2.0 separately 4. Edit all clips together and sync to your music track **Seedance 2.0 Prompt (per shot):** ``` A 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. 1 (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. 2 (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. 3 (2–3s) Hand Raised. Handheld medium, slight push-in. She raises one palm to the sky. Clouds above twist toward her gesture. Strings climb. 4 (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. 5 (4–5s) The Pointing. Handheld tight medium. She extends one ringed finger slowly toward the horizon. Camera barely breathing. Bells ring. 6 (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. 7 (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. 8 (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. 9 (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. 10 (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. 11 (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. 12 (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. 13 (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. 14 (13–14s) Eyes Return. Handheld extreme close-up, slight float. Eyes still warm gold blink once slowly. Faintest exhale. Single sustained tone. 15 (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. Style: 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. ``` > [!NOTE] > 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. ## 🎮 Game Concept ### Case 9: [Game & Interactive Content](https://x.com/op7418/status/2046854932620525750) (by [@op7418](https://x.com/op7418)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Use 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.

**Steps:** 1. Generate ARPG or game-UI-style images with GPT Image 2, including HUD elements 2. Import into Seedance 2.0 and describe the interaction or combat sequence 3. Add post-production effects (particles, glow) for polish **GPT Image 2 Prompt-2:** ``` 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 ``` **GPT Image 2 Prompt-2:** ``` 出现 UI 选择 UI 之后变成第二张图的场景图 ``` **Seedance 2.0 Prompt:** ``` 选择 UI 之后变成第二张图右边的场景 ``` **Variant — ARPG Game Simulation (by [@0xbisc](https://x.com/0xbisc/status/2047315350862352715)):** One 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 / 125K views.

**GPT Image 2 Prompt:** ``` Generate an ARPG dialogue game screenshot inspired by [film/series name] ``` **Seedance 2.0:** Use Image-to-Video mode. No prompt needed — Seedance reads the HUD layout and extends it into a gameplay sequence automatically. > [!NOTE] > Seedance 2.0 has restrictions on realistic human content. Game, anime, and illustration styles bypass most of these limitations and offer more creative range. ### Case 17: [Game Interface Animation — Full Pipeline](https://x.com/0xInk_/status/2048809000121360649) (by [@0xInk_](https://x.com/0xInk_)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) The 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 / 208K views / 2793 bookmarks.

> [!NOTE] > 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. ### Case 24: [GTA-Style City Game Concept](https://x.com/markgadala/status/2048560337960489385) (by [@markgadala](https://x.com/markgadala)) > **EvoLink adaptation:** `seedance-2.5-reference-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Create 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 / 8.7K views.

**Steps:** 1. Define your GTA variant — city, era, visual style 2. Generate game screenshots with GPT Image 2: third-person view, HUD overlay, city environment 3. Import into Seedance 2.0 and animate as gameplay footage 4. Assemble clips into a trailer > [!NOTE] > 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. ## 🛠 Production Tools ### Case 18: [Single Agent Automated Workflow](https://x.com/venturetwins/status/2048526911056613586) (by [@venturetwins](https://x.com/venturetwins)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) The 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 / 70K views.

### Case 21: [Casting Grid — Actor Audition](https://x.com/8fstudioz/status/2049547426198151627) (by [@8fstudioz](https://x.com/8fstudioz)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Save 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.

**Steps:** 1. Generate a 4-panel casting grid with GPT Image 2 — same role, 4 different actors 2. Test each actor individually in Seedance 2.0 with the same dialogue and action 3. Compare performance quality (eye contact, expression, movement) 4. Invest remaining credits only in the winning actor **GPT Image 2 Prompt:** ``` Create a 16:9 horizontal cinematic casting board showing 4 different actor candidates for the same role. Style: [INSERT VISUAL STYLE] Examples: CGI AAA video game cinematic, photorealistic, anime, stylized 3D Role brief: [INSERT ROLE DESCRIPTION] Describe the type of lead or character the user is casting for. World / genre: [INSERT WORLD OR GENRE] Examples: spy-action thriller, fantasy RPG, sci-fi adventure, crime drama Wardrobe: [INSERT WARDROBE DESCRIPTION] Describe the clothing or outfit direction all 4 actors should share. Tone: [INSERT TONE] Examples: sleek, dangerous, adventurous, grounded, moody, confident Visual direction: [INSERT VISUAL RENDERING NOTES] Describe the rendering quality, material detail, realism level, facial detail, costume detail, and overall look. Cinematic look: [INSERT CINEMATIC STYLE] Examples: blockbuster trailer aesthetic, prestige drama look, AAA game cinematic look Camera framing: [INSERT FRAMING] Examples: 3/4 body, full body, waist-up Camera angle: [INSERT CAMERA ANGLE] Examples: eye-level, slight low angle, slight 3/4 angle Lens: [INSERT LENS] Examples: 50mm cinematic lens, 85mm portrait lens Depth of field: [INSERT DEPTH OF FIELD] Examples: shallow, shallow but controlled Lighting: [INSERT LIGHTING SETUP] Describe the lighting style. Background: [INSERT BACKGROUND DESCRIPTION] Describe the background environment or backdrop. Colour treatment: [INSERT COLOUR TREATMENT] Describe the grading or colour tone. Layout: Arrange the 4 actor candidates in a 16:9 horizontal composition with 4 evenly spaced vertical panels across the frame, one actor per panel from left to right. Character variation: Each candidate should feel like a different casting choice for the same role. Vary facial structure, age feel, hairstyle, expression, posture, and energy, but keep them grounded in the same world, wardrobe logic, and tonal universe. Important: - Same role - Same world - Same wardrobe logic - Same visual style - Different actor interpretations - No duplicated faces - No text - No labels - No watermark The final image should feel like a premium cinematic casting board for [INSERT PROJECT TYPE]. Examples: a film, a game, an animated short, a cinematic trailer ``` **Seedance 2.0 Prompt (per actor):** ``` Use the uploaded 16:9 four-panel casting board as the source image. Create a controlled 15-second cinematic casting audition reel for [INSERT ROLE OR PROJECT TYPE]. Animate the actors one by one in this exact order from left to right: 0.0–3.5 seconds: ONLY the far-left actor performs. 3.5–7.0 seconds: ONLY the second actor from the left performs. 7.0–10.5 seconds: ONLY the third actor from the left performs. 10.5–14.0 seconds: ONLY the far-right actor performs. 14.0–15.0 seconds: hold on the full four-panel board with all actors still. Each actor delivers the same audition line: "[INSERT DIALOGUE LINE]" Performance direction: Each actor should look directly into the camera while delivering the line, as if performing a screen test audition. Their eye line should stay locked to camera. Each actor should deliver the line with: [INSERT PERFORMANCE TRAITS] Examples: calm control, quiet menace, emotional vulnerability, confidence, charm, intensity, humor The performance should feel: [INSERT PERFORMANCE TONE] Examples: sleek, cinematic, believable, grounded, dramatic, stylized Each actor should bring a slightly different interpretation of the same role. Control rules: ONLY the active actor moves during their assigned time window. ONLY the active actor speaks during their assigned time window. ONLY animate the active actor’s mouth, eyes, facial expression, head, and subtle upper-body movement. The active actor must look directly at the camera while speaking. All other actors remain completely still like frozen reference images. Do not animate multiple actors at the same time. Do not change the panel layout. Do not change actor positions. Do not cut to a new scene. Do not reframe into a different composition. Do not change wardrobe. Do not change background. Do not change lighting. Do not add new characters. Do not add extra dialogue. Do not add captions, subtitles, labels, or text. Camera direction: Keep the four-panel 16:9 casting board as the main composition. Use only [INSERT CAMERA MOVEMENT STYLE] toward the active actor during their performance window. Examples: a subtle cinematic push-in, gentle focus emphasis, minimal controlled emphasis Keep the movement [INSERT CAMERA BEHAVIOUR]. Examples: minimal, smooth, controlled Keep the actor presented toward camera so the audition feels direct and comparable. Audio / timing: Each actor should speak the dialogue clearly within about 3.5 seconds. The same line is repeated four times, once per actor. No overlapping voices. No background conversation. No unnecessary sound effects. Final result: A clean casting audition reel where four actor candidates perform the same line one by one from left to right, each looking directly into the camera, making it easy to compare screen presence, facial acting, eye contact, posture, and dialogue delivery. ``` > [!NOTE] > A character can look great in a still image but completely lose the role once you test dialogue, eye contact, and performance. This workflow front-loads the casting decision before you spend credits on full scenes. ### Case 22: [3D Sculpt → AI Render → Animation](https://x.com/_DAntunes_/status/2049142166232904078) (by [@_DAntunes_](https://x.com/_DAntunes_)) > **EvoLink adaptation:** `seedance-2.5-image-to-video` · [API](docs/api-workflow.md#choose-a-video-route) Bridge traditional 3D modeling with AI video: create a rough 3D clay model in Nomad Sculpt (or any sculpting app), use GPT Image 2 to render it into a polished illustration, then animate with Seedance 2.0 via ComfyUI. This gives you precise control over pose and composition that pure text prompts can't achieve.

**Steps:** 1. Sculpt a rough 3D model in Nomad Sculpt (or Blender, ZBrush, etc.) 2. Export a screenshot of the model from your desired camera angle 3. Use GPT Image 2 to render the 3D model into a polished illustration or realistic image 4. Import the rendered image into Seedance 2.0 (via ComfyUI or direct) and animate > [!NOTE] > The 3D model gives you something no text prompt can: exact control over body pose, hand position, and camera angle. Even a rough clay model is enough — GPT Image 2 handles all the rendering and detail work. This pipeline is ideal for creators who already use 3D tools and want to add AI animation to their workflow. ## 🌟 Community Showcase A rolling snapshot of **GPT Image 2 × Seedance 2.0** work shared by creators on X. Click any video to play; click an author handle to open the original post. The latest additions appear first.

@abxxai · _{80,365 views}
_{You can literally create anything with AI right now.}

@pabloprompt · _{75,035 views}
_{One Piece BTS · PART 2 😍}

@maarcoofdezz · _{30,023 views}
_{Just made a full cinematic ad for a luxury mens cologne usi…}

@AIwithAliya · _{24,084 views}
_{This looks so neat and clean}

@HeyOz_AI · _{17,459 views}
_{Claude + GPT Image 2 + seedance + Meta ads MCP Replaced my…}

@Creatify_AI · _{16,350 views}
_{Creatify AI agents use the BEST AI models for each process.}

@MayorKingAI · _{14,113 views}
_{I created a steampunk action sequence in a hand-painted 3D…}

@IATheYoker · _{12,503 views}
_{GPT Image 2 + Seedance 2.5 ya pueden crear intros del Mundi…}

@ShamiWeb3 · _{9,644 views}
_{A TAPNOW luxury skincare visual in which a glowing beauty m…}

@GlitterPixely · _{8,862 views}
_{Quick character highlight intro with GPT Image 2 + Seedance…}

@luche_whitewing · _{7,837 views}
_{深夜の美女👠 lovart (@lovart_jp)× 🎬 GPT-image-2 × Seedance 2.0 で作…}

@DoctorAmna11 · _{6,903 views}
_{The Ghost Who Couldn’t Scare Anyone}

@I_amShiti · _{5,830 views}
_{One AI app gives you access to👇}

@eijo_AIart · _{5,028 views}
_{PolloAI GPT-Image2 x Seedance2で、映画製作用ストーリーボードを使った、ショートフィルム制…}

@aziz4ai · _{4,885 views}
_{JADE FALCON: AWAKENING}

@opener_ai · _{4,353 views}
_{Gpt image 2 x Seedance 2.0 @dreamina_ai}

@spect3ral · _{4,319 views}
_{Claude + GPT Image 2 + Seedance + Meta Ads MCP}

@mdmadeit · _{3,970 views}
_{made a full 1:25 anime short}

@Strength04_X · _{3,737 views}
_{Created this cinematic sushi 🍣storyboard with GPT Image 2 +…}

@jasminekhan90_ · _{3,418 views}
_{Human connection still matters in an AI future.}

@Sogni_Protocol · _{3,342 views}
_{There’s no better combo on the market right now than GPT Im…}

@noorlewisx · _{2,974 views}
_{Made with Seedance 2 + GPT Image 2}

@markgadala · _{2,876 views}
_{AI makes creating Pixar quality animations so incredibly ea…}

@SocialSight · _{2,720 views}
_{did you get the news?}

@hanifproduktif · _{2,595 views}
_{Replaced (GPT Image 2 + Seedance 2.5)}

@adrianaia_ · _{2,382 views}
_{De las calles frías a un salón de clases lleno de amor.}

@itsPolloAI · _{2,153 views}
_{🎉 Pollo AI × GPT Image 2 × Seedance 2.0 — Results are in.}

@SimplyAnnisa · _{2,026 views}
_{Golden mornings and buttery saltbread bliss}

@Artedeingenio · _{1,479 views}
_{Using Niji to create children’s illustrations, GPT Image 2…}

@hasamaru_studio · _{1,461 views}
_{GPT Image 2 でショットリストを作成し、 Seedance 2.0 のリファレンス生成で動画を作成しました。}

@Pixelbunny_ai
_{- Create Stunning AAA quality shorts with leading models -…}

@Adam38363368936
_{GPT image 2+Seedance 2}

@ai_hakase_
_{【AIでNetflix級のUIを爆速生成！GPT Image 2 × Seedance 2.0】 👉 最新のAIを…}

@Hoshimiko_AIart
_{「見たいアニメに間に合わない……！！」}

@Dheer_Red
_{Seedance 2.0, Veo 3.1, Nano Banana, GPT Image 2—all in one…}

@NyaiiBubu
_{AI for UGC modal Rp0 itu nyata 😭}

@apoorvabr
_{I like the video concepts of @chrisfirst.}

@MaAyyoub
_{Don't ruin a new day by thinking about yesterday.}

@halne369
_{Seedance2.0用の絵コンテ作成のスキルができました！}

@RYD232210555420
_{朋友设计的无人驾驶公交车 Sumgo，我帮它做了条 AI 概念宣传片。}

@Lart_AI
_{🎮 Built with GPT Image 2 × Seedance 2.0 on LartAI!}

@Jake_Joseph
_{Wait, you can put real screenshots inside AI-generated UGC…}

@KimAkiyama81
_{Choreographing a hallway action scene using GPT Image 2 and…}

@ChangningL29508
_{Use the same storyboard to generate a realistic character r…}

@aiseomastery
_{THIS AI WORKFLOW TURNS A RAMEN RECIPE INTO A STUNNING ANIME…}

@simplissimus_
_{Quer dominar a Força e ver sua própria versão Jedi ganhar v…}

@azed_ai
_{Studios sell this as pre-production}

@fy360593
_{Been seeing a lot of people doing this "Fan cam" content la…}

@indrawan_ape
_{GPT Image 2 × Seedance 2.0 on @higgsfield is insane.}

@floopers966
_{また最安値入札ミサイルかよ！}

@Xaroon_x
_{Made with GPT Image 2 + Seedance 2.5 by @yapper_so}

@MonetizationDon
_{I decided to create my own Afrobeats Mortal Kombat-style sh…}

@roomA708
_{GPT-Image-2 × Seedance 2.0で、Osmo Pocket 4の“架空CM”を作ってみました。}

@vkuoo
_{Using Midjourney to generate the original images, GPT Image…}

@RadineerE10
_{「YouMind」が世界最大級の無料AIプロンプトライブラリとして存在感を増している。}

@aivoxyy
_{GPT Image 2 + Seedance 2.5 a police chase of new 2026 Chevr…}

@aadi29494
_{Made a LEGO build-process video with GPT Image 2 + Seedance…}

@mmarch_ai
_{Con GPT Image 2 dominas la composición: añade textos largos…}

@D_studioproject
_{How to join a cult with GPT Image 2 x Seedance 2.0 Anime St…}

@EgeUymaz
_{Storyboarded with GPT Image 2.}

@CurieuxExplorer
_{Quiet Growth 🌱}

@josepho
_{My new AI minishort, Dance of destruction, based on an old…}

@iswangwenbin
_{我也来交作业了👇 Hyperframes + Mimo TTS + GPT Image 2 + Seedance 2.5}

@HAL2400AI · _{6,721,336 views}
_{ドンキで爆速品出しするゲームのプレイ映像。}

@0xbisc · _{224,490 views}
_{Kitchen Hunt}

@ElevenCreative · _{115,974 views}
_{Create UGC videos in minutes with ElevenCreative.}

@Saccc_c · _{115,759 views}
_{用 GPT Image 2 + Seedance 2.5，还原了故宫太和殿的建造全过程🤩}

@ZaraIrahh · _{55,203 views}
_{Created with Gpt Image 2 + Seedance 2.0 on @SJinn_Agent}

@johnAGI168 · _{49,957 views}
_{The future of AI video is here, and it is completely mind-b…}

@GumVue · _{45,606 views}
_{Create with a Custom GPT - Short Film Prompt Generator :…}

@seiiiiiiiiiiru · _{41,147 views}
_{Midjourney V8.1 ↓ GPT image 2.0 ↓ Seedance 2.0}

@VORTEX_Promos · _{40,410 views}
_{TOP 7 INSANE GPT Image 2 x Seedance 2.0 Prompts You Must Try}

@ElCopyMaster · _{39,205 views}
_{Pollo AI acaba de cambiar la creación de anuncios 🤯}

@4111J_ · _{31,198 views}
_{What’s in my bag?}

@AIwithkhan · _{28,965 views}
_{Here we go GPT Image 2 and Seedance 2.0 is now live on @ins…}

@rovvmut_ · _{28,036 views}
_{GPT Image 2 and Seedance 2.0 on @insmind_com}

@aimikoda · _{27,837 views}
_{Gpt Image 2 + Seedance 2.0 Trailer Workflow}

@HBCoop_ · _{20,844 views}
_{Decided to test myself out in the storyboard workflow.}

@franpradasAI · _{19,487 views}
_{🚨 NOVEDAD: Un anuncio así cuesta $2M}

@john_my07 · _{19,165 views}
_{Crafted this one by turning a movement sheet as a reference…}

@MrLarus · _{18,511 views}
_{太飒了！ 🤯用ChatGPT+Seedance生成街头篮球1v1，真实感很强！运球试探、crossover变向、欧…}

@LaTwitchance · _{17,313 views}
_{Une vidéo de gameplay montre un jeu où il faut réapprovisio…}

@Marco_Exito · _{14,156 views}
_{💥ÚLTIMA HORA: ¡GPT-IMAGE-2 y Seedance 2.0 ya están disponi…}

@JoyLi629 · _{13,056 views}
_{GPT image2 + Seedance 2.0 做产品爆炸视频💥太香了}

@doctorwasif · _{12,897 views}
_{Chatgpt GPT-2 & Seedance 2 on @yapper_so}

@code_bykuti · _{10,592 views}
_{We’re not generating images anymore…}

@igus_ai · _{9,010 views}
_{Ahora puedes crear wallpapers de cualquier jugador o equipo…}

@Diplomeme · _{8,011 views}
_{Makeup tutorial (ft.}

@XMonetizationC_ · _{7,509 views}
_{GRWM (ft.}

@nrqa__ · _{7,319 views}
_{GPT-IMAGE-2 & Seedance 2.0 is now officially available…}

@IqraSaifiii · _{7,004 views}
_{Create your own Influencer live stream 🔥}

@IntLab0000 · _{6,444 views}
_{【Seedance 2.0でSora2を目指すテスト】Seedanceに直接長文のプロンプトで依頼する代わりに、gpt…}

@weiinberg · _{6,126 views}
_{GPT Image 2 x Seedance 2.0 on @insmind_com}

@angeldot_ · _{6,114 views}
_{Puedes crear wallpapers animados como este en segundos}

@Just_sharon7 · _{6,084 views}
_{Are you ready to buy this necklace??}

@Sheldon056 · _{5,910 views}
_{GPT Image 2 and Seedance 2.0 are now live on @insmind_com}

@nicos_ai · _{5,776 views}
_{Ahora puedes crear Wallpapers animados en segundos}

@promptsref · _{5,635 views}
_{Create a short film like this in just 1 minute with GPT Ima…}

@AIwithSynthia · _{5,248 views}
_{Excited to inform you that GPT Image 2 and Seedance 2.0 are…}

@wanerfu · _{5,165 views}
_{我用动作参考图来制作舞蹈动画，使用了 Seedance 2.0 + GPT Image 2.0}

@FinanceYF5 · _{4,039 views}
_{有人用 GPT Image 2 × Seedance 2.0 在 OpenArt 上制作一支万宝路广告。}

@meng_dagg695 · _{3,885 views}
_{GPT image 2 × Seedance 2.0 combo 🔥 on @yapper_so}

@AI_Arabic1 · _{3,867 views}
_{شوفوا الإبداع 😱!!}

@AIwithSarah_ · _{3,566 views}
_{GPT Image 2 and Seedance 2.0 is now available on @insmind_c…}

@MatiasSchrank · _{3,564 views}
_{Así lo hice con Smart Shot de @openart_ai:}

@ivnways · _{3,303 views}
_{ÚLTIMA HORA: ¡GPT-IMAGE-2 y Seedance 2.0 ya disponibles gra…}

@SwayamShrma · _{2,908 views}
_{From rough Idea to short film just by using a workflow that…}

@Alex_Inspira · _{2,888 views}
_{Así es exactamente como lo hice.}

@oggii_0 · _{2,655 views}
_{I tested a full AI food commercial workflow using ONE promp…}

@Ciri_ai · _{2,603 views}
_{One prompt → full cinematic sequence all generated inside @…}

@Taaruk_ · _{2,485 views}
_{GPT IMAGE 2 + seedance 2.0}

@noahsolomon · _{2,477 views}
_{I love using fal to make developing fal easier.}

@harboriis · _{2,389 views}
_{A complete dance sequence mapped frame by frame}

@techyoutbe · _{2,354 views}
_{One workspace.}

@ZetoGroovin · _{2,298 views}
_{『神降ろし』- AI MUSIC VIDEO - 和の雰囲気の曲と映像でMV作ってみました。}

@0xtonixie · _{2,165 views}
_{GPT的images2 ＋seedance2.0绝对是制作AI漫剧的最佳组合：}

@iamrealsnow · _{1,764 views}
_{GRWM (Male Minimal Editorial) Using GPT image 2.0 + Seedanc…}

@budgetpixel · _{1,754 views}
_{GPT Image 2.0 + Seedance 2.0 = a powerful dance workflow}

@0kncn · _{1,720 views}
_{Tesla vs Einstein Tekken evreninde}

@iX00AI · _{1,673 views}
_{実際の流れ👇 1文入力 → Shot Plan（設計図）生成 → そのまま映像生成プロンプトの工夫も編集も不要。…}

@ashen_one · _{1,608 views}
_{GPT 2.0 + Seedance 2.0 = Brand Goldmine}

@obrunookamoto · _{1,338 views}
_{A Higgsfield conectou 30+ modelos de geração de imagem e ví…}

@Kashberg_0 · _{1,291 views}
_{GPT IMAGE 2 and Seedance 2.0}

@sara4ai · _{1,229 views}
_{مرحبا يا أصدقاء خلال هذا الأسبوع لاحظت أعمالًا مبهرة باستخ…}

@bmx_ai13 · _{1,220 views}
_{A super simple workflow: 2 character images → GPT Image 2.0…}

@ChillaiKalan__ · _{1,196 views}
_{GPT Image 2 and Seedance 2.0 on @insmind_com}

@suji_pop · _{1,173 views}
_{Subway Surfer in a post apocalyptic world, with the graphic…}

@densancar · _{1,148 views}
_{Claude Code + GPT 2 + Seedance 2.0 Makes VIRAL AI UGC Videos}

@nexudotio · _{1,128 views}
_{Open Design now ships images AND videos.}

@OiiOii_AI · _{1,108 views}
_{OiiOiiで、話題のプロンプトを GPT Image 2 × Seedance 2.0 で試してみました。}

@QingQ77 · _{1,051 views}
_{cool 使用 GPT Image 2 + Seedance 2.5 创建游戏界面的视频动画}

@Parul_Gautam7 · _{1,044 views}
_{Here’s how it actually works.}

@joshesye · _{1,020 views}
_{茶叶品牌 TVC《一口春山》}

## Parameters and practical checks Seedance 2.5 I2V accepts 1–2 `image_urls` (first frame, or first/last frames) and only `aspect_ratio: "adaptive"`; prepare the source image in the intended ratio. Generate 4–30 seconds; trim shorter shots in editing, and assemble or extend sequences longer than 30 seconds. Current API output is 480p/720p/1080p; 4K claims from other products do not establish EvoLink API support. A prompt mentioning 24fps does not set an API frame-rate parameter. Inspect product detail, identity, motion and audio in the output; no grid layout, prompt length or constraint guarantees consistency. Compare actual image and video task charges; do not assume a fixed cost multiplier. [@Iancu_ai — community prompt experiment](https://x.com/Iancu_ai/status/2047882924679168083) [API / errors / recovery](docs/api-workflow.md) · [Maintenance](docs/maintenance.md) ## Related resources - [GPT Image 2 prompts](https://evolink.ai/gpt-image-2-prompts?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=image_prompts) - [Seedance 2.5 prompts](https://github.com/EvoLinkAI/awesome-seedance-2.5-prompts) - [Seedance 2.5 guide](https://github.com/EvoLinkAI/awesome-seedance-2.5-guide) - [GPT Image 2 Skill](https://github.com/EvoLinkAI/gpt-image-2-gen-skill) — GPT Image 2 - [Legacy Seedance Skill](https://github.com/EvoLinkAI/seedance2-video-gen-skill-for-openclaw) — **Seedance 2.0**, `npx evolink-seedance`; [Seedance 2.5 → MCP / CLI](https://evolink.ai/mcp?utm_source=github&utm_medium=readme&utm_campaign=GPT-Image-2-Seedance-2.5-Workflow&utm_content=current_video_route) ## 🙏 Acknowledge This repository was inspired by outstanding open workflow collections and community-shared experiments. Thanks to the creators and contributors who shared their work publicly and made these case studies possible: [@szounft](https://x.com/szounft) · [@Toshi_nyaruo_AI](https://x.com/Toshi_nyaruo_AI) · [@ponyodong](https://x.com/ponyodong) · [@servasyy_ai](https://x.com/servasyy_ai) · [@YaReYaRu30Life](https://x.com/YaReYaRu30Life) · [@fukaborichannel](https://x.com/fukaborichannel) · [@Shin_Engineer](https://x.com/Shin_Engineer) · [@ai_mitosan](https://x.com/ai_mitosan) · [@kiyoshi_shin](https://x.com/kiyoshi_shin) · [@AbleGPT](https://x.com/AbleGPT) · [@patata1216](https://x.com/patata1216) · [@peter6759](https://x.com/peter6759) · [@hibi_ai__](https://x.com/hibi_ai__) · [@heygentlewhale](https://x.com/heygentlewhale) · [@ai_gezgini](https://x.com/ai_gezgini) · [@Tz_2022](https://x.com/Tz_2022) · [@old_pgmrs_will](https://x.com/old_pgmrs_will) · [@0xbisc](https://x.com/0xbisc) · [@Iancu_ai](https://x.com/Iancu_ai) · [@Jake_Joseph](https://x.com/Jake_Joseph) · [@venturetwins](https://x.com/venturetwins) · [@0xInk_](https://x.com/0xInk_) · [@markgadala](https://x.com/markgadala) · [@Ankit_patel211](https://x.com/Ankit_patel211) · [@Ciri_ai](https://x.com/Ciri_ai) · [@nimentrix](https://x.com/nimentrix) · [@insmind_com](https://x.com/insmind_com) · [@kingofdairyque](https://x.com/kingofdairyque) · [@Kashberg_0](https://x.com/Kashberg_0) · [@airina_xyz](https://x.com/airina_xyz) · [@CoffeeVectors](https://x.com/CoffeeVectors) · [@mdmadeit](https://x.com/mdmadeit) · [@Morph_VGart](https://x.com/Morph_VGart) · [@MEnesKirca](https://x.com/MEnesKirca) · [@MrLarus](https://x.com/MrLarus) · [@AYi_AInotes](https://x.com/AYi_AInotes) · [@8fstudioz](https://x.com/8fstudioz) · [@_DAntunes_](https://x.com/_DAntunes_) · [@promptsref](https://x.com/promptsref) · [@Just_sharon7](https://x.com/Just_sharon7) · [@wanerfu](https://x.com/wanerfu) · [@AIwithkhan](https://x.com/AIwithkhan) · [@0xtonixie](https://x.com/0xtonixie) · [@doctorwasif](https://x.com/doctorwasif) · [@HAL2400AI](https://x.com/HAL2400AI) · [@bmx_ai13](https://x.com/bmx_ai13) · [@ZaraIrahh](https://x.com/ZaraIrahh) · [@iX00AI](https://x.com/iX00AI) · [@GumVue](https://x.com/GumVue) · [@adriansolarzz](https://x.com/adriansolarzz) · [@0kncn](https://x.com/0kncn) · [@john_my07](https://x.com/john_my07) · [@XMonetizationC_](https://x.com/XMonetizationC_) · [@harboriis](https://x.com/harboriis) · [@IntLab0000](https://x.com/IntLab0000) · [@Marco_Exito](https://x.com/Marco_Exito) · [@Alex_Inspira](https://x.com/Alex_Inspira) · [@densancar](https://x.com/densancar) · [@QingQ77](https://x.com/QingQ77) · [@johnAGI168](https://x.com/johnAGI168) · [@sara4ai](https://x.com/sara4ai) · [@MatiasSchrank](https://x.com/MatiasSchrank) · [@Parul_Gautam7](https://x.com/Parul_Gautam7) · [@LaTwitchance](https://x.com/LaTwitchance) · [@ZetoGroovin](https://x.com/ZetoGroovin) · [@franpradasAI](https://x.com/franpradasAI) · [@obrunookamoto](https://x.com/obrunookamoto) · [@ivnways](https://x.com/ivnways) · [@noahsolomon](https://x.com/noahsolomon) · [@OiiOii_AI](https://x.com/OiiOii_AI) · [@suji_pop](https://x.com/suji_pop) · [@SuguruKun_ai](https://x.com/SuguruKun_ai) · [@aimikoda](https://x.com/aimikoda) · [@seiiiiiiiiiiru](https://x.com/seiiiiiiiiiiru) · [@SwayamShrma](https://x.com/SwayamShrma) · [@IqraSaifiii](https://x.com/IqraSaifiii) · [@rovvmut_](https://x.com/rovvmut_) · [@ashen_one](https://x.com/ashen_one) · [@weiinberg](https://x.com/weiinberg) · [@ElevenCreative](https://x.com/ElevenCreative) · [@SunNeverSetsX](https://x.com/SunNeverSetsX) · [@oggii_0](https://x.com/oggii_0) · [@HBCoop_](https://x.com/HBCoop_) · [@code_bykuti](https://x.com/code_bykuti) · [@AIwithSarah_](https://x.com/AIwithSarah_) · [@nrqa__](https://x.com/nrqa__) · [@ChillaiKalan__](https://x.com/ChillaiKalan__) · [@Sheldon056](https://x.com/Sheldon056) · [@techyoutbe](https://x.com/techyoutbe) · [@AIwithSynthia](https://x.com/AIwithSynthia) · [@4111J_](https://x.com/4111J_) · [@hrrcnes](https://x.com/hrrcnes) · [@nexudotio](https://x.com/nexudotio) · [@iamrealsnow](https://x.com/iamrealsnow) · [@Saccc_c](https://x.com/Saccc_c) · [@Raul_IA_Prod](https://x.com/Raul_IA_Prod) · [@Diplomeme](https://x.com/Diplomeme) · [@JoyLi629](https://x.com/JoyLi629) · [@meng_dagg695](https://x.com/meng_dagg695) · [@bindureddy](https://x.com/bindureddy) · [@FinanceYF5](https://x.com/FinanceYF5) · [@joshesye](https://x.com/joshesye) · [@Taaruk_](https://x.com/Taaruk_) · [@budgetpixel](https://x.com/budgetpixel) · [@VORTEX_Promos](https://x.com/VORTEX_Promos) · [@AI_Arabic1](https://x.com/AI_Arabic1) · [@angeldot_](https://x.com/angeldot_) · [@igus_ai](https://x.com/igus_ai) · [@nicos_ai](https://x.com/nicos_ai) · [@ElCopyMaster](https://x.com/ElCopyMaster) *We cannot guarantee that every case is attributed to the original creator. If anything needs to be corrected, please contact us and we will update it.* If you have more interesting workflow cases to share, feel free to reach out and help us expand the Evolink workflow library. [![Star History Chart](https://api.star-history.com/svg?repos=EvoLinkAI/GPT-Image-2-Seedance-2.5-Workflow&type=Date)](https://www.star-history.com/#EvoLinkAI/GPT-Image-2-Seedance-2.5-Workflow&Date)