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:
- 访问 https://tensorslab.tensorslab.com/ 登录并订阅。
- 在控制台中获取您的专属 API Key。
- 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
- 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:
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Extract parameters: duration=10 , ratio="16:9"
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Enhance prompt with cinematic details, camera movements, scene descriptions
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Call API with enriched prompt
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Monitor progress with heartbeat updates (every 60 seconds)
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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
- 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:
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Extract image file paths (1-2 images supported)
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Enhance prompt with motion instructions
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Monitor progress with heartbeat updates
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Download results
Parameters for image-to-video:
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sourceImage : Array of image files (1-2 images max)
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imageUrl : Comma-separated URLs of source images
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prompt : Description of desired motion/animation
- Resolution and Aspect Ratio
Aspect ratios:
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9:16
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Vertical (TikTok, Reels, Shorts) - default
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16:9
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Horizontal (YouTube, standard video)
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Other ratios available depending on model
Resolutions:
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480p
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SD quality, faster generation
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720p
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HD quality - default
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1080p
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Full HD
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1440p
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2K quality (seedancev2 only)
- Duration Options
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seedancev2: 5-15 seconds
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Other models: 5-10 seconds
Longer videos take proportionally more time to generate.
- 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:
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Default: ./tensorslab_output/ (current working directory)
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Custom: Use --output-dir or -o to specify a different path
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Naming: {task_id}_{index}.mp4
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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
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Include cinematic terms: "wide shot", "close-up", "pan", "dolly"
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Describe motion: "flying rapidly", "slowly drifting", "zooming in"
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Specify style: "cinematic", "documentary style", "dreamy"
Image-to-Video
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Describe the desired motion: "gentle sway", "subtle movement"
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For landscapes: "clouds moving", "water flowing", "leaves rustling"
Resources
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scripts/tensorslab_video.py: Main API client with full CLI support
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references/api_reference.md: Detailed API documentation