jae
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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.
4 KiB
4 KiB
| name | description | version | author | tags | trigger_patterns | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| venice-video-generate | Generate complete video from prompt to saved file in single operation. Handles queue, poll, retrieve, save with progress logging. | 1.0.0 | Agent JAE |
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Venice Video Generate (Full Lifecycle)
Generate complete video from prompt to saved file in a single operation.
When to Use
Use this skill when you need to:
- Generate video from text prompt (text-to-video)
- Generate video from image (image-to-video)
- Complete video generation with automatic polling and saving
This is the recommended approach - it combines queue + poll + retrieve + save into one call.
Usage
Quick Start (Text-to-Video)
python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "A cat playing piano"
With Options
python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "Ocean waves at sunset" \
--model kling-2.6-pro-text-to-video \
--duration 10s \
--resolution 1080p
Image-to-Video
python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "Make this image come alive" \
--image /path/to/image.png \
--model wan-2.5-preview-image-to-video
Progress Logging (Every 20 Seconds)
[14:32:15] START: Queueing video generation with model: wan-2.5-preview-text-to-video
[14:32:15] CONFIG: duration=5s, resolution=720p, aspect_ratio=16:9
[14:32:16] QUEUED: queue_id=abc123-def456
[14:32:36] PROGRESS: 20s elapsed | [====----------------] 25% | ETA: 45s | status: processing
[14:32:56] PROGRESS: 40s elapsed | [==========----------] 55% | ETA: 25s | status: processing
[14:33:16] PROGRESS: 60s elapsed | [================----] 85% | ETA: 8s | status: processing
[14:33:21] COMPLETE: Video saved to /root/venice_videos/video_20260131_143321_abc123.mp4
Result Output
======================================================================
RESULT: SUCCESS
VIDEO_PATH: /root/venice_videos/video_20260131_143321_abc123.mp4
ELAPSED_SECONDS: 65.3
QUEUE_ID: abc123-def456-...
MODEL: wan-2.5-preview-text-to-video
======================================================================
Common Options
| Option | Default | Description |
|---|---|---|
| --model, -m | wan-2.5-preview-text-to-video | Venice model ID |
| --duration, -d | 5s | Video duration (5s, 10s, etc.) |
| --resolution, -r | 720p | Video resolution |
| --aspect-ratio, -a | 16:9 | Aspect ratio (16:9, 9:16, 1:1) |
| --audio | off | Enable audio generation |
| --image, -i | none | Input image (for image-to-video) |
| --output, -o | auto | Custom output path |
| --max-wait | 900 | Max wait seconds (15 min) |
Model Selection
Text-to-Video
wan-2.5-preview-text-to-video- Default, fast, good qualitykling-2.6-pro-text-to-video- Higher quality, slowerveo3.1-full-text-to-video- Google Veo, excellent but expensive
Image-to-Video
wan-2.5-preview-image-to-video- Fast, reliableveo3.1-full-image-to-video- Premium quality
Expected Generation Times
| Model Type | 5s Video | 10s Video |
|---|---|---|
| Wan 2.5 | 30-60s | 60-120s |
| Kling 2.6 Pro | 60-120s | 120-240s |
| Veo 3.1 | 90-180s | 180-360s |
Python Import
import sys
sys.path.insert(0, '~/.jae/agent/skills/venice-video-generate/scripts')
from generate_video import generate_video, GenerationResult
result = generate_video(
prompt="A beautiful sunset over mountains",
model="wan-2.5-preview-text-to-video",
duration="5s",
verbose=True
)
if result.success:
print(f"Video saved: {result.video_path}")
else:
print(f"Failed: {result.error}")
Default Output Directory
/root/venice_videos/ (auto-created)
Requirements
VENICE_API_KEYenvironment variable