GPT-Image-2-Seedance-2.5-Workflow

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 · Seedance 2.5 · API key · Sign up

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.

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

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) · GPT Image 2 API · Seedance 2.5 I2V API

# 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.

{
  "model": "seedance-2.5-draft-to-video",
  "source_task_id": "YOUR_COMPLETED_UNEXPIRED_DRAFT_TASK_ID",
  "output_format": "mp4"
}

Draft → 1080p · 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
• Product photo to video
• Optional: draft to final
• Historical community examples
• Parameters and practical checks
• Related resources
• 🎥 Storyboard Techniques
  • Case 1: Standard Storyboard → Video (by @kiyoshi_shin)
  • Case 2: 3×3 Grid Storyboard Method (by @servasyy_ai)
  • Case 10: Multi-Frame Reference → Fast-Cut Video (by @heygentlewhale)
  • Case 19: Storyboard-First Cost Control (by @0xbisc)
• 📱 Commercial & Product
  • Case 5: App MVP Demo Video (by @Shin_Engineer)
  • Case 6: 15-Second Commercial (by @ai_mitosan)
  • Case 15: Luxury Commercial — Storyboard to Film (by @insmind_com)
  • Case 16: Cinematic Food Video (by @kingofdairyque)
  • Case 26: Product Image → Short Video Ad (by @insmind_com)
• 🎨 Animation & Character
  • Case 3: Character Sheet → Animation (by @YaReYaRu30Life)
  • Case 4: Anime OP Style Video (by @Toshi_nyaruo_AI)
  • Case 12: Claude Code × Character Sheet → Animation (by @old_pgmrs_will)
  • Case 13: Dance Sequence Grid → Dance Video (by @Ciri_ai)
  • Case 14: Comic Page → Animated Video (by @nimentrix)
  • Case 25: K-Pop Choreography — Detailed Control (by @Kashberg_0)
  • Case 27: Character Intro Animation (by @0xbisc)
• 🎵 Music Video & Short Film
  • Case 7: Music Video with Suno (by @fukaborichannel)
  • Case 8: Cyberpunk Style Short Film (by @ponyodong)
  • Case 11: Japanese MV — Full AI Toolchain (by @Tz_2022)
  • Case 20: Claude Shotlist → Music Video (by @CoffeeVectors)
• 🎮 Game Concept
  • Case 9: Game & Interactive Content (by @op7418)
  • Case 17: Game Interface Animation — Full Pipeline (by @0xInk_)
  • Case 24: GTA-Style City Game Concept (by @markgadala)
• 🛠 Production Tools
  • Case 18: Single Agent Automated Workflow (by @venturetwins)
  • Case 21: Casting Grid — Actor Audition (by @8fstudioz)
  • Case 22: 3D Sculpt → AI Render → Animation (by @DAntunes)
• 🌟 Community Showcase

🎥 Storyboard Techniques

Case 1: Standard Storyboard → Video (by @kiyoshi_shin)

EvoLink adaptation: seedance-2.5-image-to-video · API

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 (by @servasyy_ai)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @heygentlewhale)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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):

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 (by @0xbisc)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @Shin_Engineer)

EvoLink adaptation: seedance-2.5-image-to-video · API

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

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 (by @ai_mitosan)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @insmind_com)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @kingofdairyque)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @insmind_com)

EvoLink adaptation: seedance-2.5-image-to-video · API

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 (by @YaReYaRu30Life)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @Toshi_nyaruo_AI)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @old_pgmrs_will)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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.

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 (by @Ciri_ai)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 demonstrated the basic workflow with an urban street dancer. @Kashberg_0 used character boards + motion reference frames for K-Pop choreography (52 likes / 2K views).

Case 14: Comic Page → Animated Video (by @nimentrix)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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.

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 (by @Kashberg_0)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @0xbisc)

EvoLink adaptation: seedance-2.5-image-to-video · API

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 (by @fukaborichannel)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @ponyodong)

EvoLink adaptation: seedance-2.5-image-to-video · API

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.

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 (by @Tz_2022)

EvoLink adaptation: seedance-2.5-reference-to-video · API

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 (by @CoffeeVectors)

EvoLink adaptation: seedance-2.5-image-to-video · API

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