Image-to-Video — Pro Pack on RunComfy

runcomfy.com · HappyHorse I2V · Wan 2.7 · Seedance 2.0 Pro · GitHub

Image-to-video, intent-routed. This skill doesn't lock you to one model — it picks the right i2v model in the RunComfy catalog based on what the user actually wants: portrait animation, custom-voiceover lip-sync, or multi-modal composition.

npx skills add agentspace-so/runcomfy-skills --skill image-to-video -g

Pick the right model for the user's intent

The agent reads this table, classifies the user's intent, and picks the matching subsection below.

Prerequisites

1. RunComfy CLI — npm i -g @runcomfy/cli
2. RunComfy account — runcomfy login opens a browser device-code flow.
3. CI / containers — set RUNCOMFY_TOKEN=<token>.
4. A source image URL — JPEG/PNG/WebP, min 300px, ≤10MB; aspect 1:2.5 to 2.5:1 (HappyHorse) — other models have similar specs.

Route 1: HappyHorse 1.0 I2V — default for portrait / product / general animation

Model: happyhorse/happyhorse-1-0/image-to-video · Arena rank: #1 (Elo 1392)

Schema

Output aspect = input aspect. No independent reframing.

Invoke

runcomfy run happyhorse/happyhorse-1-0/image-to-video \
  --input '{
    "image_url": "https://.../portrait.jpg",
    "prompt": "Gentle camera drift around the subject'\''s face, subtle breathing motion, identity-stable features, soft natural light."
  }' \
  --output-dir <absolute/path>

Prompting tips

• Lead with motion verbs: "drift", "dolly in", "orbit", "tilt up", "reveal", "blink", "breathe". Front-load what's MOVING.
• Don't restate the image — the model sees it. Focus tokens on what changes.
• Preservation goals explicit: "identity-stable features", "packaging unchanged", "background geometry stable".
• Lighting evolution: "rim light intensifying", "shadows shortening as camera rises".
• One beat per clip — single primary motion (orbit OR dolly OR tilt OR character action).

Route 2: Wan 2.7 + audio_url — when the user has a custom voiceover

Model: wan-ai/wan-2-7/text-to-video (NOT /image-to-video — Wan 2.7's t2v endpoint accepts an audio_url that drives lip-sync)

Note on i2v with Wan 2.7: Wan 2.7's primary i2v animation isn't on a dedicated endpoint here. For pure i2v (image animated by motion prompt only), prefer HappyHorse i2v. Use Wan 2.7 specifically when the user has a custom audio track they want lip-synced to a generated talking-head clip.

Schema (Wan 2.7 t2v with audio)

Invoke

runcomfy run wan-ai/wan-2-7/text-to-video \
  --input '{
    "prompt": "Medium close-up of a confident spokesperson in a softly-lit recording booth, leaning slightly toward the camera, locked tripod, shallow DOF, warm key light from camera-left.",
    "audio_url": "https://.../voiceover-en.mp3",
    "duration": 12,
    "aspect_ratio": "9:16"
  }' \
  --output-dir <absolute/path>

Prompting tips

• Describe the talking-head shot — framing, lighting, lens feel. The audio drives the lip-sync; the prompt builds the visual frame around it.
• Match duration to audio length — clip will be silent past the audio if too long.
• Use negative_prompt for issues: "no subtitles, no flicker, no distorted hands".
• For multi-language dubs — same prompt, swap audio_url per call. Lock seed for visual consistency across languages.

Route 3: Seedance 2.0 Pro — multi-modal animation (image + ref video + ref audio)

Model: bytedance/seedance-v2/pro

Use when the user wants a single clip that combines: a subject image + scene from a reference video + voice tone from a reference audio.

Schema (Seedance 2.0 Pro, i2v-relevant fields)

Invoke

runcomfy run bytedance/seedance-v2/pro \
  --input '{
    "prompt": "Subject from image 1 walks through the café in video 1, voice tone matches audio 1. Medium close-up, slow push-in, warm light, gentle ambience.",
    "image_url": ["https://.../subject.jpg"],
    "video_url": ["https://.../cafe-locked-shot.mp4"],
    "audio_url": ["https://.../voice-tone.mp3"],
    "duration": 8
  }' \
  --output-dir <absolute/path>

Prompting tips

• Image vs text division — use image_url for what must stay stable (face, costume, brand); use prompt for what should evolve (action, mood, lighting).
• Number the refs in the prompt: `"subject