jae
c42cd9a062
Skills included: - venice-chat: Chat with Venice LLM models, vision, reasoning - venice-chat-benchmark: Benchmark chat models with infographics - venice-image-gen: Generate images via Venice API - venice-list-image-models: List available image models - venice-list-text-models: List available text models - venice-list-video-models: List available video models - venice-tts: Text-to-speech via Venice API - venice-video-generate: Generate videos from text/images - venice-video-queue: Queue video generation jobs - venice-video-quote: Get video generation cost quotes - venice-video-retrieve: Retrieve completed videos All rebranded from Agent Zero paths to Agent JAE (~/.jae/agent/skills/). Requires VENICE_API_KEY environment variable.
140 lines
4 KiB
Markdown
140 lines
4 KiB
Markdown
---
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name: "venice-video-generate"
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description: "Generate complete video from prompt to saved file in single operation. Handles queue, poll, retrieve, save with progress logging."
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version: "1.0.0"
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author: "Agent JAE"
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tags:
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- venice
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- api
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- video
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- generation
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- complete
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- text-to-video
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- image-to-video
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trigger_patterns:
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- "generate video"
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- "create video"
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- "make video"
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- "video from prompt"
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- "text to video"
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- "image to video"
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---
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# Venice Video Generate (Full Lifecycle)
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Generate complete video from prompt to saved file in a single operation.
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## When to Use
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Use this skill when you need to:
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- Generate video from text prompt (text-to-video)
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- Generate video from image (image-to-video)
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- Complete video generation with automatic polling and saving
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**This is the recommended approach** - it combines queue + poll + retrieve + save into one call.
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## Usage
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### Quick Start (Text-to-Video)
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```bash
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python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "A cat playing piano"
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```
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### With Options
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```bash
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python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "Ocean waves at sunset" \
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--model kling-2.6-pro-text-to-video \
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--duration 10s \
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--resolution 1080p
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```
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### Image-to-Video
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```bash
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python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "Make this image come alive" \
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--image /path/to/image.png \
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--model wan-2.5-preview-image-to-video
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```
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## Progress Logging (Every 20 Seconds)
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```
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[14:32:15] START: Queueing video generation with model: wan-2.5-preview-text-to-video
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[14:32:15] CONFIG: duration=5s, resolution=720p, aspect_ratio=16:9
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[14:32:16] QUEUED: queue_id=abc123-def456
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[14:32:36] PROGRESS: 20s elapsed | [====----------------] 25% | ETA: 45s | status: processing
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[14:32:56] PROGRESS: 40s elapsed | [==========----------] 55% | ETA: 25s | status: processing
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[14:33:16] PROGRESS: 60s elapsed | [================----] 85% | ETA: 8s | status: processing
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[14:33:21] COMPLETE: Video saved to /root/venice_videos/video_20260131_143321_abc123.mp4
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```
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## Result Output
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```
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======================================================================
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RESULT: SUCCESS
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VIDEO_PATH: /root/venice_videos/video_20260131_143321_abc123.mp4
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ELAPSED_SECONDS: 65.3
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QUEUE_ID: abc123-def456-...
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MODEL: wan-2.5-preview-text-to-video
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======================================================================
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```
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## Common Options
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| Option | Default | Description |
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|--------|---------|-------------|
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| --model, -m | wan-2.5-preview-text-to-video | Venice model ID |
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| --duration, -d | 5s | Video duration (5s, 10s, etc.) |
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| --resolution, -r | 720p | Video resolution |
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| --aspect-ratio, -a | 16:9 | Aspect ratio (16:9, 9:16, 1:1) |
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| --audio | off | Enable audio generation |
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| --image, -i | none | Input image (for image-to-video) |
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| --output, -o | auto | Custom output path |
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| --max-wait | 900 | Max wait seconds (15 min) |
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## Model Selection
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### Text-to-Video
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- `wan-2.5-preview-text-to-video` - Default, fast, good quality
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- `kling-2.6-pro-text-to-video` - Higher quality, slower
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- `veo3.1-full-text-to-video` - Google Veo, excellent but expensive
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### Image-to-Video
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- `wan-2.5-preview-image-to-video` - Fast, reliable
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- `veo3.1-full-image-to-video` - Premium quality
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## Expected Generation Times
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| Model Type | 5s Video | 10s Video |
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|------------|----------|----------|
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| Wan 2.5 | 30-60s | 60-120s |
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| Kling 2.6 Pro | 60-120s | 120-240s |
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| Veo 3.1 | 90-180s | 180-360s |
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## Python Import
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```python
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import sys
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sys.path.insert(0, '~/.jae/agent/skills/venice-video-generate/scripts')
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from generate_video import generate_video, GenerationResult
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result = generate_video(
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prompt="A beautiful sunset over mountains",
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model="wan-2.5-preview-text-to-video",
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duration="5s",
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verbose=True
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)
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if result.success:
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print(f"Video saved: {result.video_path}")
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else:
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print(f"Failed: {result.error}")
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```
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## Default Output Directory
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`/root/venice_videos/` (auto-created)
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## Requirements
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- `VENICE_API_KEY` environment variable
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