tensorslab-video

TensorsLab Video Generation

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Install skill "tensorslab-video" with this command: npx skills add bob5-tensorslab/skills/bob5-tensorslab-skills-tensorslab-video

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:

  • Extract parameters: duration=10 , ratio="16:9"

  • Enhance prompt with cinematic details, camera movements, scene descriptions

  • Call API with enriched prompt

  • Monitor progress with heartbeat updates (every 60 seconds)

  • 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

  1. 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:

  • Extract image file paths (1-2 images supported)

  • Enhance prompt with motion instructions

  • Monitor progress with heartbeat updates

  • 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

  1. 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)

  1. Duration Options
  • seedancev2: 5-15 seconds

  • Other models: 5-10 seconds

Longer videos take proportionally more time to generate.

  1. 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

Custom output directory

python scripts/tensorslab_video.py "a sunset timelapse" --output-dir ./my_videos

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 output directory with naming pattern:

  • Default: ./tensorslab_output/ (current working directory)

  • Custom: Use --output-dir or -o to specify a different path

  • Naming: {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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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