agentsclimarketplace

Venice video

Skill 0xatd/cheaptokens-skills/skills/venice-video

Agent skill pack for using CheapTokens: discounted Venice AI credits, OpenAI-compatible API calls, and x402 purchase flows.

Install
npx -y skills add 0xatd/cheaptokens-skills --skill venice-video

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Generate and transcribe videos via Venice. Covers the async /video/quote + /video/queue + /video/retrieve + /video/complete loop, text-to-video, image-to-video, video-to-video (upscale), audio input, reference images, scene and element support, plus /video/transcriptions for YouTube URLs.

SKILL.md

8.3 KB, as published. Nobody here has run it

Venice Video

Video is asynchronous — like audio music. Five endpoints:

EndpointPurpose
POST /video/quotePrice in USD (no charge, no job).
POST /video/queueEnqueue generation. Returns queue_id, charges (reserves) funds.
POST /video/retrievePoll status or download video/mp4.
POST /video/completeFinalize & delete media from Venice storage.
POST /video/transcriptionsSync: transcribe a YouTube URL's audio.

Use when

  • You need text-to-video, image-to-video, video upscale, video-with-audio, or video transcription.
  • You can tolerate async execution (single-digit seconds to several minutes depending on model, duration, and queue depth — inspect average_execution_time and execution_duration on /video/retrieve for your job's live estimate).
  • You want to price a job precisely before committing (/video/quote).

Lifecycle — generation

1. Price with /video/quote

curl https://api.venice.ai/api/v1/video/quote \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan-2-7-text-to-video",
    "duration": "5s",
    "aspect_ratio": "16:9",
    "resolution": "720p",
    "audio": true
  }'

Response: {"quote": 0.35} USD.

2. Submit with /video/queue

curl https://api.venice.ai/api/v1/video/queue \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan-2-7-text-to-video",
    "prompt": "Commerce being conducted in the city of Venice, Italy.",
    "negative_prompt": "low resolution, worst quality, defects",
    "duration": "5s",
    "aspect_ratio": "16:9",
    "resolution": "720p",
    "audio": true
  }'

Response: { "model": "...", "queue_id": "uuid", "download_url": "https://..." }.

  • download_url only appears for VPS-backed models. When present, the retrieve endpoint returns JSON status only — fetch this URL to download. Valid 24 h.

3. Poll with /video/retrieve

curl https://api.venice.ai/api/v1/video/retrieve \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"...","queue_id":"..."}' \
  --output out.mp4
  • Processing: JSON {"status":"PROCESSING","average_execution_time":145000,"execution_duration":53200} (ms).
  • Completed (non-VPS): binary video/mp4 body.
  • Completed (VPS-backed): {"status":"COMPLETED", ...} — fetch the download_url from the queue response.
  • delete_media_on_completion: true auto-deletes after successful retrieve.

4. Finalize with /video/complete

curl https://api.venice.ai/api/v1/video/complete \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"...","queue_id":"..."}'

QueueVideoRequest fields

Availability depends on the model — check GET /models?type=video.

FieldTypeNotes
modelstringRequired.
promptstring, ≤ 2500–3500Required (min length 1). Max length varies per model.
negative_promptstring, ≤ 2500–3500
durationenum 2s..30s or AutoRequired. Model-specific subset.
aspect_ratio1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9, 21:9Some models ignore.
resolution256p..4k, or upscale hints 2x / 4x / true_1080pUse upscale_factor for upscale models.
upscale_factor1 / 2 / 4Only for upscale models. 1 = quality enhancement.
audioboolDefault true. Audio-capable models.
image_urlURL or data: URLImage-to-video reference frame.
end_image_urlURL or data URLEnd frame / transition reference.
audio_urlURL or data URLBackground music input. WAV/MP3, ≤ 30 s, ≤ 15 MB.
video_urlURL or data URLVideo-to-video / upscale input. MP4/MOV/WebM.
reference_image_urls[]array of URLs, ≤ 9Character / style consistency images.
elements[]array, ≤ 4Advanced models (e.g. Kling O3 R2V): each has frontal_image_url, up to 3 reference_image_urls, video_url. Reference in prompt as @Element1, @Element2.
scene_image_urls[]array of URLs, ≤ 4Advanced scene refs; reference in prompt as @Image1, @Image2.

Common recipes

Text → video with audio

{
  "model": "wan-2-7-text-to-video",
  "prompt": "A golden retriever chasing a frisbee in slow motion at sunset.",
  "duration": "6s",
  "aspect_ratio": "16:9",
  "resolution": "720p",
  "audio": true
}

Image → video

{
  "model": "<image-to-video model>",
  "prompt": "Camera slowly zooms out, revealing the cityscape.",
  "image_url": "https://example.com/cityscape.jpg",
  "duration": "5s",
  "aspect_ratio": "16:9"
}

Video upscale

{
  "model": "<upscale model>",
  "video_url": "data:video/mp4;base64,...",
  "upscale_factor": 2,
  "duration": "Auto"
}

Multi-element consistency (Kling O3 R2V-style)

{
  "model": "<advanced-model>",
  "prompt": "@Element1 walks toward @Element2 against @Image1.",
  "elements": [
    { "frontal_image_url": "<char1.png>", "reference_image_urls": ["<alt1.png>"] },
    { "frontal_image_url": "<char2.png>" }
  ],
  "scene_image_urls": ["<street-scene.jpg>"]
}

/video/transcriptions (sync)

Transcribe a YouTube video URL directly — no queue.

curl https://api.venice.ai/api/v1/video/transcriptions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://www.youtube.com/watch?v=...","response_format":"json"}'

Response: {"transcript":"...","lang":"en"} (JSON) or plain text/plain body when response_format: text.

For arbitrary audio files, use venice-audio-transcription instead.

Full polling loop

async function waitForVideo(model: string, queueId: string, downloadUrl?: string) {
  while (true) {
    const res = await fetch(`${base}/video/retrieve`, {
      method: 'POST', headers,
      body: JSON.stringify({ model, queue_id: queueId }),
    })
    const ct = res.headers.get('content-type') ?? ''
    if (ct.startsWith('video/')) {
      return Buffer.from(await res.arrayBuffer())
    }
    const body = await res.json()
    if (body.status === 'COMPLETED' && downloadUrl) {
      const v = await fetch(downloadUrl)
      return Buffer.from(await v.arrayBuffer())
    }
    if (body.status !== 'PROCESSING') throw new Error(`unexpected ${body.status}`)
    await new Promise(r => setTimeout(r, 5000))
  }
}

Errors

CodeMeaning
400Bad params (duration/resolution not supported by model, missing required image_url for i2v, missing prompt, etc.).
401Auth / Pro-only.
402Insufficient balance.
403Model unavailable in your region.
413Request payload too large — shrink images / audio. (Returned from /video/queue.)
422Content policy violation. (Returned from /video/queue.)
500Inference failed.
503Model at capacity — retry later. On /video/retrieve, returned when the queue is backed up.

/video/queue does not document 503 in the spec — upstream capacity issues surface there as 500. Watch for 503 specifically on /video/retrieve.

Gotchas

  • duration is required on /video/queue. Even Auto is a valid explicit value.
  • download_url is only sometimes returned at queue time. Always handle both paths: binary from /retrieve OR fetching download_url after status COMPLETED.
  • download_url expires in 24 h — download promptly.
  • Upscale models use upscale_factor instead of resolution.
  • reference_image_urls[] is capped at 9 entries, elements[] at 4, scene_image_urls[] at 4. Over-limit is 400.
  • data: URLs count toward payload size; large base64 videos may trip 413 — prefer hosted URLs.
  • /video/transcriptions is YouTube-URL-only; it does not accept arbitrary video uploads (use ffmpeg to strip audio, then /audio/transcriptions).

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.