tensorslab-video

📁 bob5-tensorslab/skills 📅 Today
4
总安装量
1
周安装量
#50595
全站排名
安装命令
npx skills add https://github.com/bob5-tensorslab/skills --skill tensorslab-video

Agent 安装分布

mcpjam 1
github-copilot 1
junie 1
windsurf 1
zencoder 1
crush 1

Skill 文档

TensorsLab Video Generation

Overview

This skill enables AI-powered video generation through TensorsLab’s API, supporting both text-to-video and image-to-video workflows. Video generation is a time-intensive process – tasks typically take several minutes to complete.

Authentication Check

Before any video generation, verify the API key is configured:

# Check if API key is set
echo $TENSORSLAB_API_KEY

If not set, display this friendly message:

您好!要生成高质量的内容,您需要先进行简单的配置:
1. 访问 https://tensorslab.tensorslab.com/ 登录并订阅。
2. 在控制台中获取您的专属 API Key。
3. 将其保存为环境变量:
   - Windows (PowerShell): $env:TENSORSLAB_API_KEY="您的Key"
   - Mac/Linux: export TENSORSLAB_API_KEY="您的Key"

Models

Model Description Best For Max Duration
seedancev2 Latest, highest quality General purpose, cinematic content 15s
seedancev15pro Pro quality High-end productions 10s
seedancev1profast Fast generation Quick previews 10s
seedancev1 Standard lite Basic videos 10s

Default: seedancev1profast

Workflow

1. Text-to-Video Generation

User request: “做一段 10 秒钟横屏的宇宙飞船穿梭星际的视频”

Agent processing:

  1. Extract parameters: duration=10, ratio="16:9"
  2. Enhance prompt with cinematic details, camera movements, scene descriptions
  3. Call API with enriched prompt
  4. Monitor progress with heartbeat updates (every 60 seconds)
  5. Download to ./tensorslab_output/

Example enhanced prompt:

Cinematic wide shot of a spaceship rapidly flying through space, passing glowing
nebulae and distant stars, lens flares, dramatic camera movement, epic scale,
movie-quality visual effects, smooth 24fps motion

2. Image-to-Video Generation

User request: “让这张人物合影 family.jpg 动起来” or “让风景照动起来”

Agent processing:

  1. Extract image file paths (1-2 images supported)
  2. Enhance prompt with motion instructions
  3. Monitor progress with heartbeat updates
  4. Download results

Parameters for image-to-video:

  • sourceImage: Array of image files (1-2 images max)
  • imageUrl: Comma-separated URLs of source images
  • prompt: Description of desired motion/animation

3. Resolution and Aspect Ratio

Aspect ratios:

  • 9:16 – Vertical (TikTok, Reels, Shorts) – default
  • 16:9 – Horizontal (YouTube, standard video)
  • Other ratios available depending on model

Resolutions:

  • 480p – SD quality, faster generation
  • 720p – HD quality – default
  • 1080p – Full HD
  • 1440p – 2K quality (seedancev2 only)

4. Duration Options

  • seedancev2: 5-15 seconds
  • Other models: 5-10 seconds

Longer videos take proportionally more time to generate.

5. Special Features (seedancev2 only)

Feature Parameter Description
Audio Generation generate_audio=1 Generate soundtrack with video
Last Frame return_last_frame=1 Also return final frame as image

Progress Tracking

Video generation takes several minutes. Keep users informed:

⏳ Waiting for video generation to complete...
   (This may take several minutes - please be patient)
🔄 Status: Processing (elapsed: 45s)
🚀 正在渲染电影级大片,已耗时 60 秒,请稍安勿躁...
🚀 正在渲染电影级大片,已耗时 120 秒,请稍安勿躁...
✅ Task completed!

Heartbeat interval: Print encouraging message every 60 seconds.

Using the Script

Execute the Python script directly:

# Text-to-video (default 5s, vertical 9:16)
python scripts/tensorslab_video.py "a spaceship flying through space"

# 10 second horizontal video
python scripts/tensorslab_video.py "sunset over ocean waves" --duration 10 --ratio 16:9

# Image-to-video
python scripts/tensorslab_video.py "make this photo come alive" --source portrait.jpg

# Fast preview
python scripts/tensorslab_video.py "abstract flowing colors" --model seedancev1profast

# High quality with audio
python scripts/tensorslab_video.py "epic mountain timelapse" --resolution 1440p --duration 10 --audio

Task Status Flow

Status Code Meaning
Pending 1 Task waiting in queue
Processing 2 Currently generating
Completed 3 Done, video ready
Failed 4 Error occurred
Uploading 5 Uploading generated video

Error Handling

Translate API errors to user-friendly messages:

Error Code Meaning User Message
9000 Insufficient credits “亲,积分用完啦,请前往 https://tensorslab.tensorslab.com/ 充值”
9999 General error Show the specific error message

Output

All videos are saved to ./tensorslab_output/ with naming pattern:

  • {task_id}_{index}.mp4 – e.g., abcd_1234567890_0.mp4

After completion, inform user:

🎉 您的视频处理完毕!已存放于 ./tensorslab_output/{filename}

Tips for Better Results

Text-to-Video

  • Include cinematic terms: “wide shot”, “close-up”, “pan”, “dolly”
  • Describe motion: “flying rapidly”, “slowly drifting”, “zooming in”
  • Specify style: “cinematic”, “documentary style”, “dreamy”

Image-to-Video

  • Describe the desired motion: “gentle sway”, “subtle movement”
  • For landscapes: “clouds moving”, “water flowing”, “leaves rustling”

Resources

  • scripts/tensorslab_video.py: Main API client with full CLI support
  • references/api_reference.md: Detailed API documentation