gracelungu

Nano Banana Kling Ad Workflow

设计创意v1.0.0
作者:gracelungu更新于 2026-05-11nano-banana-kling-ad-workflow@clawhub_gracelungu/nano-banana-kling-ad-workflow
视频处理视觉素材#Image Generation#Pipeline#Prompt

据 AlphaMoat 统计,截至 2026-09,Nano Banana Kling Ad Workflow 累计下载 2,195 次、获 4 个星标,在全部 5,078 个 AI 技能中排名第 4,293 位,在「设计创意」分类(512 个)中排名第 426 位。

累计安装
172
累计下载
2,195
星标
4
全站排名
#4,293
全站前 85% · 「设计创意」前 84%
平台累计安装累计下载星标评论
ClawHub ↗632,1623-
SkillHub ↗1722,1954—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

主文包括确定广告目标、受众、时长与交付格式,再生成静帧、动画并整理剪辑交接。图像、声音、肖像和品牌素材提交第三方服务前需确认权利和授权;生成费用与质量需要用户审核。 该包提供操作指引,而非可执行的生成命令。先设点数预算上限,导出前检查人物、动作和画面一致性;不保证生成速度或广告效果。

资料发布于 2026-10-27

可以用来做什么

  • 把广告简报拆成镜头计划
  • 准备静帧和视频生成提示词
  • 整理预算、导出和交接检查项

什么时候用

  • 需要规划短视频广告制作时
  • 使用人物、品牌或声音资产前确认权利,生成前确认成本和内容范围时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

依据这份简报提出镜头和生成预算方案,列出需授权的素材;暂不调用生成服务。

月度数据趋势

累计下载2,195
1,0181,6502,2822026-03 · 累计下载 1,1052026-05 · 累计下载 1,4802026-06 · 累计下载 1,6252026-07 · 累计下载 1,8902026-08 · 累计下载 2,0262026-09 · 累计下载 2,19526-0326-09
星标4
3442026-03 · 星标 32026-05 · 星标 42026-06 · 星标 42026-07 · 星标 42026-08 · 星标 42026-09 · 星标 426-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-092,195—4
2026-082,026+7.2%4
2026-071,890+16.3%4
2026-061,625+9.8%4
2026-051,480—4
2026-031,105—3

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

3.1 KB · ClawHub v1.0.0
---
name: nano-banana-kling-ad-workflow
description: Recreate low-budget AI video ad workflows using Nano Banana image generation plus Kling 3.0 video synthesis with dialogue, including prompt design, scene planning, cost control, and export handoff. Use when a user wants to produce a cinematic ad quickly (often in a few hours) with a small credit budget, or asks for a Deon-style Nano Banana + Kling pipeline.
---

# Nano Banana Kling Ad Workflow

## Overview
Build a short ad from scratch using a fast two-stage pipeline: generate stills in Nano Banana, animate them in Kling 3.0, then stitch a publishable cut. Optimize for speed, visual consistency, and low spend.
展开全部(共 94 行)
## Workflow

### 1) Define outcome before generating assets
Capture these constraints first:
- Product or story concept
- Audience and tone
- Target duration (15s, 30s, or 45s)
- Delivery format (X, TikTok, Reels, YouTube)
- Budget ceiling in credits

If missing, ask for only the minimum required details and proceed.

### 2) Build a shot list
Create 5-9 shots with:
- Shot number
- Scene goal
- Subject + environment
- Camera style
- On-screen line or dialogue intent

Keep each shot prompt short and concrete.

### 3) Generate base visuals in Nano Banana
For each shot:
- Prompt for one clear hero frame
- Keep recurring anchors stable (character traits, wardrobe, color palette, lens style)
- Generate 2-4 variations max, pick one

If consistency drifts, add explicit anchor text to the next prompt.

### 4) Animate in Kling 3.0
Import selected stills into Kling 3.0 and add:
- Motion direction (camera push, pan, dolly, parallax)
- Dialogue or narration intent
- Timing per clip (usually 2-5s)

Prefer subtle motion over aggressive movement unless the concept requires action-heavy pacing.

### 5) Assemble final cut
Sequence clips by narrative flow:
- Hook (first 1-2 shots)
- Value demonstration
- Clear CTA

Add captions if platform autoplay is likely muted.

### 6) Track cost and output quality
After generation, report:
- Total clips generated
- Credits used and estimated cost
- Final runtime
- Export ratio(s)
- What to improve in next iteration

## Prompt pattern
Use this compact prompt shape for each Nano Banana shot:

"[subject], [action], in [environment], [lighting], [camera framing], [style anchors], ultra-clean composition, ad-grade, no text overlays"

Use this compact Kling prompt shape:

"Animate this still with [motion], keep subject identity stable, cinematic realism, [timing], [dialogue/emotion cue], smooth transitions"

## Fast defaults
- Runtime target: 20-30 seconds
- Shot count: 6
- Variations per shot: 3
- Clip length: 3-4 seconds
- Revision passes: 1 content pass + 1 polish pass

## Failure handling
- If faces drift: repeat identity anchors and reduce motion complexity
- If scenes look noisy: simplify prompts and reduce style stacking
- If cost rises too fast: reduce variations and shorten shot list
- If timeline slips: ship a 15-second cut first, then extend

## Deliverable format
When executing this skill, output:
1. Final shot list
2. Prompt set used
3. Generation and edit log
4. Final export summary
5. Next-iteration recommendations

「设计创意」分类下的热门技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。