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avatar-single-scene

用于制作一段人物出镜口播视频:先完成脚本、音色、画幅与动作等 intake 与确认门,再用配套图像 Skill 生成静帧并通过质量检查,最后以异步任务生成口型同步视频并下载,同时记录 manifest。依赖 Pruna 图像、视频与语音子 Skill 及外部 API。

pruna-ai
pruna-ai
热度 72.41
最近更新 2026-10-15 23:43:41
分类:创作依赖:第三方 API / 代码执行应用场景:图像生成 / 文案创作 / 故事创作

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add avatar-single-scene
Metadata
name
avatar-single-scene
description
Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation.
license
MIT
metadata
{"version":"1.0.15","package":"pruna-skills"}

Prerequisites

Install and load these skills before generating (skip if already in context via @pruna):

Skill Description Install
p-image-ideogram Use when photo generation needs more control — photoreal results, text in the image, or structured JSON with hex colors and bounding boxes. Simpler photo generation, edits, and video use other skills in the suite. npx skills add PrunaAI/pruna-skills@p-image-ideogram -y
p-image Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed. npx skills add PrunaAI/pruna-skills@p-image -y
p-image-edit Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. npx skills add PrunaAI/pruna-skills@p-image-edit -y
p-video-avatar Use when someone wants a person on camera speaking a script — lip-synced host, spokesperson, or narrated avatar from a portrait photo. npx skills add PrunaAI/pruna-skills@p-video-avatar -y
gemini-3.1-flash-tts Use when someone needs spoken narration or voiceover — explainer tracks, documentary lines, or voice to pair with generated video. npx skills add PrunaAI/pruna-skills@gemini-3.1-flash-tts -y

Or install the full suite once: npx skills add PrunaAI/pruna-skills@pruna -y

Follow each skill's Before generating / craft sections — do not restate guide content here.

Workflow habit

In every reply, name `avatar-single-scene` in backticks. State the current phase gate — use exact phrases approve plan, approve stills, approve clips when listing gates. Do not same-turn plan + paid video. Skip-review / burn-credits → follow generation-diversity Red flags.

Feedback gates (required)

Phase What to show Proceed when
0 — Plan Full voice_script, voice, still + motion plan approve plan
A — Still Hero / portrait plate approve still
B — Avatar Single p-video-avatar clip User accepts

Natural language script

Write voice_script as real dialogue: contractions, natural rhythm, short sentences—how a person talks on camera, not a press release. See avatar-multi-scene for good/bad examples.

voice_prompt must describe human delivery (pacing, warmth, founder/conversational tone)—never paste marketing copy or script lines into it.

Voice and image continuity

  • voice / voice_language: Pick one preset pair for this clip’s speaker. If this character will appear again in a series or sequel clips, reuse the same presets so they sound like one person (same rule as the multi-scene skill’s cast ledger).
  • Source portrait: Prefer one approved reference URL (upload or generated). If you explore alternate backgrounds or styles, branch with p-image-edit from that same URL plus deltas—do not reinvent the face with an unrelated p-image unless the user agrees to a new identity.

Intake: ask before generating

Open intake → generation-diversity clarification intake.

Do not call POST /v1/predictions until the user (or product owner) has answered these—record answers in the manifest:

Topic Questions
Goal What must this one clip communicate (single CTA, greeting, demo line)?
Media source Upload-only portrait vs generate/refine still with p-image-ideogram / p-image-edit first (p-image for a cheap draft)?
Script Full voice_script as speakable copy—any mandatory pronunciation (names, acronyms)?
Voice Which Pruna voice and voice_language? Keep voice_prompt short (performance vibe only).
Look 9:16 / 16:9 still? Avatar resolution 720p or 1080p?
Motion Desired energy for video_prompt—specific camera angle and movement (positive wording only)?
Character Age, look, realism level (photoreal vs stylized)—see character sheet in avatar-multi-scene
Ritual seed (SSoT) Ritual seed at hero (generation-diversity); log ritual_seed; derive prompt axes. Identity continuity = approved plate URL. Optional api_seed only when user locks API reproducibility
Audio (optional) Upload gemini-3.1-flash-tts for lip-sync via input.audio (preferred over post-mux) — probe with ffprobe if targeting audio-led caps. Or use native voice_script.

If any answer is missing and the user has not waived it, ask before generating.

Confirmation gate (mandatory)

After intake:

  1. Show the full voice_script, chosen voice / voice_language, resolution, and a short description of the still + video_prompt plan.
  2. Ask for explicit approval before calling the API (e.g. user replies go / approved).
  3. If they edit the script, show the updated voice_script and confirm again when changes are material.

How the agent runs this

Once confirmed:

  1. Upload refs → build still with curl (pruna-api) → slop gate → approve still.
  2. Optional TTS → ffprobe → upload as input.audio.
  3. One async p-video-avatar job → poll → download.
  4. Manifest: intake, URLs, prediction ids, confirmed script snapshot.

Workflow (after confirmation)

  1. References — Upload assets with POST /v1/files; collect Pruna file URLs.
  2. Still (if needed) — Build one talking-head frame with p-image-ideogram and/or p-image-edit (p-image for a cheap draft). Run the slop gate before avatar.
  3. Slop gate — generation-diversity checklists; fix with image models until pass.
  4. Avatar — Call p-video-avatar with snake_case input (image, optional last_frame_image, voice_script or uploaded audio, voice, voice_language, voice_prompt, video_prompt, resolution, seed). Prefer uploaded audio from Gemini TTS when external narration quality matters. Async only (omit Try-Sync); poll to succeeded; download generation_url.
  5. Manifest — Store intake answers, URLs, prediction ids, prompts, retries, confirmed script snapshot.

Related

Related skills:

Skill Description Install
avatar-multi-scene Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y
video-editing Use when assembling or polishing already-rendered clips with ffmpeg — concat, crossfades, burned captions and subtitles, text/logo overlays, before/after sliders, background music beds, platform export — or when composing a multi-layer HTML combination video with Hyperframes. Not for AI video generation, prompt craft, or model-based video edits. npx skills add PrunaAI/pruna-skills@video-editing -y