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EvoLinkAIEvoLinkAI/evolink-agent-skills/image-to-video/SKILL.md

image-to-video

Skill4 starsChanged 5 months agoMITView on GitHub

Turn still images into short videos with Seedance 2 on EvoLink. Use this skill when the user has a product image, character image, poster, ad image, or edited GPT Image 2 asset and wants motion, camera movement, or a short commercial clip.

15 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use flux-2-klein, flux-kontext and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • agentspace-soSkill

    flux-2-klein

    Generate images with Flux 2 Klein (Black Forest Labs' distilled fast variant of Flux 2) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux 2 Klein's strengths (sub-second latency, multi-reference brand styling, declarative subject-first prompts), the step-count strategy (4–8 for fast iteration, ~25 for polish), the 9B vs 4B variant trade-off, and when to route to Flux 2 Pro / Seedream 5 / GPT Image 2 instead. Calls `runcomfy run blackforestlabs/flux-2-klein/9b/text-to-image` (or `/4b/`) through the local RunComfy CLI. Triggers on "flux 2 klein", "flux-2-klein", "flux klein", "BFL flux 2", or any explicit ask to generate with this model.

    Also in 4 projects that use this

  • agentspace-soSkill

    flux-kontext

    Edit images with Flux 1 Kontext Pro (Black Forest Labs' precise local image-edit model) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux Kontext's strengths (single-reference precise local edits, strong prompt control, consistent high-fidelity outputs), the schema (single image + prompt), and when to route to Nano Banana Edit / GPT Image 2 edit / Flux 2 Klein instead. Calls `runcomfy run blackforestlabs/flux-1-kontext/pro/edit` through the local RunComfy CLI. Triggers on "flux kontext", "flux-kontext", "flux 1 kontext", "kontext", "BFL kontext", or any explicit ask to edit with this model.

    Also in 4 projects that use this

  • prime-skillsSkill

    image-inpainting

    Mask-driven image inpainting on RunComfy via the `runcomfy` CLI. Routes to Tongyi MAI Z-Image Turbo Inpainting (the dedicated inpainting endpoint with mask, strength, and control-scale) and to identity-preserving edit models (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when a mask isn't available and the region must be described instead. Use for object removal, watermark removal, region replacement, blemish cleanup, and any controlled local edit where a binary mask defines the target area. Triggers on "inpaint", "inpainting", "image inpaint", "remove from image", "fill region", "mask-driven edit", "remove watermark", "remove object", "patch the photo", "fill the hole", or any explicit ask to edit a specific masked region of a still.

    Also in 4 projects that use this

  • prime-skillsSkill

    ace-step

    Generate, inpaint, and outpaint music with ACE Step on RunComfy via the `runcomfy` CLI. ACE Step is StepFun-AI's open-weights music foundation model — tag-driven composition (genre, mood, instruments), multilingual lyrics with section markers, 5 s to 4 min stereo output, $0.0002–0.0003 per second (≈ 27× cheaper than ElevenLabs Music). Four endpoints: ACE Step text-to-audio (the default), ACE Step 1.5 text-to-audio (50+ language lyrics, refined structured-lyric handling), ACE Step audio-inpaint (regenerate a time range inside an existing track), ACE Step audio-outpaint (extend an existing track before or after). Triggers on "ace step", "ace-step", "acestep", "ACE music", "open music model", "cheap AI music", "inpaint audio", "audio inpaint", "extend music", "audio outpaint", "lengthen track", "music with tags", or any explicit ask to generate or edit music with ACE Step.

    Also in 3 projects that use this

  • +3 more from agentspace-so
  • +5 more from prime-skills

The file

We split this skill into the rules it gives an agent

12 rules. 0 are common, 11 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 13 edited versions we read keep these.

  • 11

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when the user wants to:

    line 20
  2. Distinctive:

    add camera motion to a still visual

    line 25
  3. Distinctive:

    create a video from a GPT Image 2 output

    line 26
  4. Distinctive:

    test multiple motion directions from the same source image

    line 27
  5. Very specific:

    Use product-image-generation or image-edit first if the source image is low quality or not campaign-ready.

    line 29
  6. Distinctive:

    Ask for all missing requirements in one message: duration, platform, aspect ratio, motion, and style.

    line 50
  7. Distinctive:

    Write a Seedance 2 prompt focused on motion, camera, scene change, and preservation.

    line 51
  8. Distinctive:

    Do not redescribe every visible object.

    line 58
  9. Distinctive:

    Use one primary action per clip.

    line 60
  10. Distinctive:

    Keep text overlays out of the generation prompt unless the user accepts text artifacts.

    line 61
  11. Distinctive:

    After the first clip, offer:

    line 65
  12. Distinctive:

    Do not animate private people, public figures, or brand assets in misleading contexts without user authorization.

    line 73

“Common” is measured: kept by at least 6 in 10 of the 13 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Image-to-Video with Seedance 2 on EvoLink

Animate a still image into a short video. This is the main handoff from GPT Image 2 image assets into Seedance 2 video generation.

npx skills add EvoLinkAI/evolink-agent-skills --skill image-to-video -g

When to Use This Skill

Use this skill when the user wants to:

  • animate a product image
  • turn an ad image into a short video
  • make a poster, character, or scene move
  • add camera motion to a still visual
  • create a video from a GPT Image 2 output
  • test multiple motion directions from the same source image

Use product-image-generation or image-edit first if the source image is low quality or not campaign-ready.

Prerequisites

  1. EvoLink API access or EvoLink MCP configured.
  2. One source image URL or local image available to the agent.
  3. Desired duration, aspect ratio, motion style, and output use case.
  4. Attribution links should use utm_source=skillssh&utm_medium=skill&utm_campaign=image-to-video.

Pick the Right Workflow

User intentModel pathWhy
Product reveal from one imageSeedance 2 image-to-videoBest first video path when the image is already strong.
Ad image to paid social clipSeedance 2 image-to-videoTurns a static creative into motion for Reels, Shorts, or TikTok.
Weak source imageGPT Image 2 edit -> Seedance 2Improve the source frame before spending video tokens.
Need multiple motion testsSeedance 2 variantsReuse one image with different camera and action prompts.

Default Workflow

  1. Inspect the image and identify the subject that must stay stable.
  2. Ask for all missing requirements in one message: duration, platform, aspect ratio, motion, and style.
  3. Write a Seedance 2 prompt focused on motion, camera, scene change, and preservation.
  4. Generate the first clip.
  5. Suggest two iteration directions: motion variant and commercial variant.

Prompting Tips

  • Lead with motion: camera push-in, orbit, product rotation, hand interaction, walk cycle, light sweep.
  • Do not redescribe every visible object. Focus on what changes over time.
  • Preserve identity explicitly: product label unchanged, face stable, packaging shape unchanged.
  • Use one primary action per clip.
  • Keep text overlays out of the generation prompt unless the user accepts text artifacts.

Next Token Loop

After the first clip, offer:

  • three motion variants from the same image
  • one platform adaptation for TikTok, Reels, or Shorts
  • a product ad version with ad-video-generation

Safety and Privacy

Do not animate private people, public figures, or brand assets in misleading contexts without user authorization. Do not produce deceptive political, medical, financial, or impersonation content.

See Also

  • image-edit
  • product-image-generation
  • ad-video-generation
  • EvoLink

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