Video Generation

Generate videos using TensorsLab's AI video generation models. Supports text-to-video and image-to-video generation with automatic prompt enhancement, progre...

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:

# 仅检查变量是否存在，不输出完整值
[ -n "$TENSORSLAB_API_KEY" ] && echo "✅ API key is set" || echo "❌ TENSORSLAB_API_KEY is not set"

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

依赖：脚本需要 requests 库，首次使用前执行：

pip install requests

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