Venice视频

SKILL前端设计
前端设计 未标注权限 许可证不明确
安装这个技能

Venice视频专用技能,帮助AI Agent高效完成相关任务。

一句话选型结论

按资料字段整理

Venice视频是前端设计类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类前端设计 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_3c6cb52e/venice-video-lp1z
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

前端设计
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_3c6cb52e仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791682980
正文体量8.4 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
出页面与组件

按描述生成页面结构和组件草稿。

调整样式与布局

改间距、配色与响应式布局。

生成设计说明

把设计稿整理成开发能接的说明。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在前端设计场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Venice视频当前 未标注权限 未标注 未标注 未标注 有
前端设计 只读 GitHub 仓库 882.3 万 Codex、Claude、Cursor 有
Vercel 组合模式 联网访问 GitHub 仓库 385.9 万 Codex、Claude、Cursor 有
Vercel React native skills 前端 只读 GitHub 仓库 246.9 万 Codex、Claude、Cursor 有
adapt 搜索 浏览器控制 GitHub 仓库 202.7 万 Codex、Claude、Cursor 有
使用我的浏览器 浏览器控制 GitHub 仓库 184.8 万 Codex、Claude、Cursor 有

SKILL.md 全文

8.4 KB
模型实际读到的说明书原文,来自技能仓库

Venice Video

Video is asynchronous — like audio music. Five endpoints:

Endpoint Purpose
POST /video/quote Price in USD (no charge, no job).
POST /video/queue Enqueue generation. Returns queue_id, charges (reserves) funds.
POST /video/retrieve Poll status or download video/mp4.
POST /video/complete Finalize & delete media from Venice storage.
POST /video/transcriptions Sync: 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.

Field Type Notes
model string Required.
prompt string, ≤ 2500–3500 Required (min length 1). Max length varies per model.
negative_prompt string, ≤ 2500–3500 —
duration enum 2s..30s or Auto Required. Model-specific subset.
aspect_ratio 1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9, 21:9 Some models ignore.
resolution 256p..4k, or upscale hints 2x / 4x / true_1080p Use upscale_factor for upscale models.
upscale_factor 1 / 2 / 4 Only for upscale models. 1 = quality enhancement.
audio bool Default true. Audio-capable models.
image_url URL or data: URL Image-to-video reference frame.
end_image_url URL or data URL End frame / transition reference.
audio_url URL or data URL Background music input. WAV/MP3, ≤ 30 s, ≤ 15 MB.
video_url URL or data URL Video-to-video / upscale input. MP4/MOV/WebM.
reference_image_urls[] array of URLs, ≤ 9 Character / style consistency images.
elements[] array, ≤ 4 Advanced 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, ≤ 4 Advanced 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

Code Meaning
400 Bad params (duration/resolution not supported by model, missing required image_url for i2v, missing prompt, etc.).
401 Auth / Pro-only.
402 Insufficient balance.
403 Model unavailable in your region.
413 Request payload too large — shrink images / audio. (Returned from /video/queue.)
422 Content policy violation. (Returned from /video/queue.)
500 Inference failed.
503 Model 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).

常见问题

5 问
答案由本站依据条目字段整理
Venice视频怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_3c6cb52e/venice-video-lp1z。安装方式为未标注。装完刷新技能列表或重开客户端。

Venice视频支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Venice视频权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Venice视频收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Venice视频用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。