Ai Video Generation

AI Video Generation

Generate videos with the full RunComfy video-model catalog through one CLI — text-to-video, image-to-video, and Veo's video-extend. This skill picks the right model for the user's intent and ships the documented prompt patterns + the exact runcomfy run invoke for each.

runcomfy.com · Video models · CLI docs

Powered by the RunComfy CLI

# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version

# 2. Sign in
runcomfy login              # or in CI: export RUNCOMFY_TOKEN=

# 3. Generate
runcomfy run // \
  --input '{"prompt": "..."}' \
  --output-dir ./out

CLI deep dive: runcomfy-cli skill.

Install this skill

npx skills add agentspace-so/runcomfy-agent-skills --skill ai-video-generation -g

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Pick the right model for the user's intent

Text-to-video (t2v) — newest first

HappyHorse 1.0 — happyhorse/happyhorse-1-0/text-to-video (default) > Currently #1 on Artificial Analysis Video Arena. Native synchronized audio generated in-pass (no separate Foley step). Native 1080p, up to ~15s, strong multi-shot character consistency. > Pick for: general-purpose t2v, ad creative with audio, social-media clips, multi-shot narratives. > Avoid for: audio-driven lip-sync to a specific voiceover MP3 — use Wan 2-7.

Kling 3.0 4K — kling/kling-3.0/4k/text-to-video > Kling's latest, 4K output, strong multi-shot character identity, premium camera language. > Pick for: hero shots, final-delivery 4K cuts, multi-shot character narratives. > Avoid for: cost-sensitive iteration — drop to Kling 2-6 Pro or Standard i2v.

Seedance v2 Pro — bytedance/seedance-v2/pro > ByteDance flagship — multi-modal (up to 9 reference images, 3 reference videos, 3 reference audio), in-pass synchronized audio, cinematic motion refinement, lens language honored. > Pick for: cinematic ad frames, multi-reference composition (subject + scene + audio refs), 21:9 anamorphic looks. > Avoid for: simple "single prompt → clip" jobs — overpowered, slower.

Seedance v2 Fast — bytedance/seedance-v2/fast > Faster variant of Seedance v2 Pro, same multi-modal capabilities. > Pick for: iteration on Seedance v2 compositions before locking a final on Pro. > Avoid for: hero-shot final delivery.

Wan 2-7 — wan-ai/wan-2-7/text-to-video > Open-weights flagship, audio_url field for audio-driven lip-sync, pairs natively with Wan image models. > Pick for: dialog scenes where mouth must sync to a specific voiceover file; open-weights pipeline requirement. > Avoid for: in-pass audio generation (no MP3 input) — use HappyHorse 1.0.

Kling 2-6 Pro — kling/kling-2-6/pro/text-to-video > Previous Kling tier — still strong quality at much lower cost than 3.0 4K. > Pick for: production at scale where 3.0 4K is too expensive. > Avoid for: top-tier hero shots — use Kling 3.0 4K.

Seedance 1-5 Pro — bytedance/seedance-1-5/pro/text-to-video > Previous Seedance generation, cheaper. > Pick for: identity-stable batches between 1-5 generations; cost-sensitive baseline. > Avoid for: new work — prefer Seedance v2 Pro or Fast.

Image-to-video (i2v) — newest first

HappyHorse 1.0 I2V — happyhorse/happyhorse-1-0/image-to-video (default) > Animate any still with in-pass audio described in prompt, strong identity preservation. > Pick for: animating a generated portrait or product still, vertical social clips, voiceover-described audio. > Avoid for: physics-accurate object motion — use Veo 3-1.

Veo 3-1 — google-deepmind/veo-3-1/image-to-video > Google's flagship — physics-respecting motion, strong object permanence ("rotates 180 degrees" = 180°), pairs with extend-video for longer clips. > Pick for: product spins, physics-accurate motion, scenes where "no other motion" must hold. > Avoid for: audio-driven dialog — use Wan 2-7 or HappyHorse.

Veo 3-1 Fast — google-deepmind/veo-3-1/fast/image-to-video > Faster Veo 3-1 variant. > Pick for: iteration on Veo compositions. > Avoid for: hero delivery — use full Veo 3-1.

Kling 3.0 4K I2V — kling/kling-3.0/4k/image-to-video > Multi-shot character identity, 4K output from a still. > Pick for: 4K hero shots, character-narrative cuts. > Avoid for: cost iteration — drop to Pro or Standard.

Kling 3.0 Pro I2V — kling/kling-3.0/pro/image-to-video > Default Kling 3.0 quality tier. > Pick for: high-quality i2v at moderate cost. > Avoid for: 4K final delivery.

Kling 3.0 Standard I2V — kling/kling-3.0/standard/image-to-video > Cheapest 3.0 i2v tier. > Pick for: concepting / drafts on Kling 3.0. > Avoid for: final delivery.

Hailuo 2-3 Pro — minimax/hailuo-2-3/pro/image-to-video > MiniMax Hailuo latest — natural motion, strong on real-world subjects. > Pick for: lifelike motion of real-people / real-product subjects. > Avoid for: stylized characters — use Kling or Dreamina.

Dreamina 3-0 Pro — bytedance/dreamina-3-0/pro/image-to-video > ByteDance Dreamina i2v — illustration / stylized character lean. > Pick for: animating illustrated heroes, painterly stills. > Avoid for: photoreal motion.

Seedance 1-0 Pro Fast — bytedance/seedance-1-0/pro/fast/image-to-video > Older Seedance i2v generation, cheap. > Pick for: cost-sensitive batch i2v on Seedance. > Avoid for: new work — Seedance v2 Pro is more capable (t2v + i2v + multi-modal).

Extend an existing video — newest first

Veo 3-1 Extend — google-deepmind/veo-3-1/extend-video > Continue an existing Veo clip with consistent motion / lighting / identity. > Pick for: extending a video past Veo's per-call duration cap; chained narrative shots.

Veo 3-1 Fast Extend — google-deepmind/veo-3-1/fast/extend-video > Faster Veo extend variant. > Pick for: extending Veo Fast clips at matching latency tier.

For dedicated treatment of extend (input video preparation, frame-anchor strategy, chained extends), see the video-extend skill.

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t2v Route 1: HappyHorse 1.0 — default

Model: happyhorse/happyhorse-1-0/text-to-video Catalog: happyhorse-1-0

Currently #1 on the Artificial Analysis Video Arena — RunComfy's recommended default for general-purpose t2v. Native synchronized audio is generated in-pass (no separate Foley step).

Schema

| Field | Type | Required | Default | Notes | |---|---|---|---|---| | prompt | string | yes | — | Subject-first, describe motion + scene + audio in one declarative | | duration | int | no | 5 | Seconds. Up to ~15s | | aspect_ratio | enum | no | 16:9 | 16:9, 9:16, 1:1 typical | | resolution | enum | no | 1080p | 720p, 1080p | | seed | int | no | — | Reproducibility |

Invoke

runcomfy run happyhorse/happyhorse-1-0/text-to-video \
  --input '{
    "prompt": "A red kite tumbles across a windy beach at golden hour, kids chasing it laughing, surf in the background. Audio: wind, gulls, distant laughter.",
    "duration": 8,
    "aspect_ratio": "16:9",
    "resolution": "1080p"
  }' \
  --output-dir ./out

Prompting tips

• Lead with subject and one main action. "A red kite tumbles across a beach" — verb-driven, not adjective-stacked.
• Describe audio inline — "Audio: wind, gulls, distant laughter." HappyHorse generates audio in-pass.
• Motion language matters more than visual nouns — "tumbles", "drifts", "snaps into focus" > "looks beautiful".
• Multi-shot: describe transitions explicitly — "Then the camera cuts to …" — Arena-leading multi-shot consistency.

---

t2v Route 2: Wan 2-7 — open weights + audio-driven lip-sync

Model: wan-ai/wan-2-7/text-to-video Catalog: wan-2-7 · wan-models collection

Pick Wan 2-7 when you have a specific voiceover / dialog audio file and want the on-screen subject's mouth to sync to it. The audio_url field drives the lip motion.

Invoke

With audio-driven lip-sync:

runcomfy run wan-ai/wan-2-7/text-to-video \
  --input '{
    "prompt": "Studio portrait of a woman in her 30s speaking confidently to camera, soft window light.",
    "audio_url": "https://your-cdn.example/voiceover.mp3",
    "duration": 6
  }' \
  --output-dir ./out

Plain t2v (no audio):

runcomfy run wan-ai/wan-2-7/text-to-video \
  --input '{"prompt": "Drone shot over forest canopy at sunrise, soft fog drifting between trees"}' \
  --output-dir ./out

Prompting tips

• For lip-sync, the prompt describes the scene + speaker; the audio file drives the mouth. Don't transcribe the audio into the prompt — it'll fight the audio track.
• Open-weights advantage: pair with Wan ecosystem (LoRA-finetuned variants) when available.

---

t2v Route 3: Seedance v2 — multi-modal cinematic

Model: bytedance/seedance-v2/pro (or /fast) Catalog: seedance-v2 Pro · seedance collection

Pick Seedance v2 Pro when the user needs multi-modal conditioning — up to 9 reference images, 3 reference videos, 3 reference audio tracks synthesized in-pass with cinematic motion refinement.

Invoke

runcomfy run bytedance/seedance-v2/pro \
  --input '{
    "prompt": "Anamorphic 35mm shot — a vintage car drives down a coastal road at dusk, lens flares from oncoming headlights, cinematic color grade.",
    "duration": 10,
    "aspect_ratio": "21:9"
  }' \
  --output-dir ./out

Prompting tips

• Lens / film language is honored — "35mm anamorphic", "shallow DoF", "soft halation", "Kodak 5219" all land.
• Multi-ref: describe roles explicitly — "subject from ref image 1, mood from ref video 2, score from ref audio 1".
• Cinematic motion verbs: "tracking shot", "push in", "dolly out", "rack focus".

---

i2v Route A: HappyHorse 1.0 I2V — default

Model: happyhorse/happyhorse-1-0/image-to-video Catalog: happyhorse-1-0 i2v

Invoke

runcomfy run happyhorse/happyhorse-1-0/image-to-video \
  --input '{
    "image_url": "https://your-cdn.example/portrait.jpg",
    "prompt": "She turns her head slowly to look at the camera and smiles. Wind through her hair. Audio: gentle breeze.",
    "duration": 6,
    "aspect_ratio": "9:16"
  }' \
  --output-dir ./out

Prompting tips

• Describe motion, not the scene the image already shows. The image is your scene; the prompt is your direction.
• Anchor the camera explicitly — "Camera stays still" prevents drift; "slow push in" gives intent.
• Audio in the same prompt as t2v Route 1.

---

i2v Route B: Veo 3-1 — Google's flagship

Model: google-deepmind/veo-3-1/image-to-video (or /fast/image-to-video) Catalog: veo-3-1 i2v · veo-3 collection

Pick Veo when physics / realism / object permanence matters most. Veo 3-1 supports both 8s clips and longer with the extend-video companion endpoint.

Invoke

runcomfy run google-deepmind/veo-3-1/image-to-video \
  --input '{
    "image_url": "https://your-cdn.example/product.jpg",
    "prompt": "The bottle slowly rotates 180 degrees on a marble surface, soft daylight, no other motion."
  }' \
  --output-dir ./out

Prompting tips

• Veo respects physics — "the bottle rotates 180 degrees" gets exactly 180°.
• Object permanence is strong — say "no other motion" and other elements stay locked.
• For audio-enabled i2v, see Route A (HappyHorse) instead — Veo's audio path lives elsewhere in the catalog.

---

i2v Route C: Kling 3.0 — multi-shot identity, 4K

Model: kling/kling-3.0/{4k,pro,standard}/image-to-video Catalog: kling collection

Three tiers — pick by quality / cost trade-off:

| Tier | Endpoint | When | |---|---|---| | 4K | kling/kling-3.0/4k/image-to-video | Hero shots, final delivery at 4K | | Pro | kling/kling-3.0/pro/image-to-video | Default — high quality at lower cost | | Standard | kling/kling-3.0/standard/image-to-video | Concepting, drafts |

Invoke

runcomfy run kling/kling-3.0/pro/image-to-video \
  --input '{
    "image_url": "https://your-cdn.example/character.jpg",
    "prompt": "The character walks toward the camera, soft handheld feel, end on a medium close-up."
  }' \
  --output-dir ./out

Prompting tips

• Multi-shot consistency — describe a beat sequence ("walks to

…

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: agentspace-so
• Source: agentspace-so/runcomfy-agent-skills
• License: MIT
• Homepage: https://www.runcomfy.com

Install and usage instructions live in the source repository linked above.