jae
7fe886fea5
Some checks are pending
CI / build-check-test (push) Waiting to run
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.
116 lines
3.2 KiB
Markdown
116 lines
3.2 KiB
Markdown
---
|
|
name: "venice-video-queue"
|
|
description: "Queue a video for generation on Venice.ai (text-to-video, image-to-video). Returns queue_id for retrieval."
|
|
version: "1.0.0"
|
|
author: "Agent JAE"
|
|
tags: ["venice", "video", "ai", "generation", "queue"]
|
|
trigger_patterns:
|
|
- "queue video"
|
|
- "start video generation"
|
|
- "venice video queue"
|
|
---
|
|
|
|
# Venice Video Queue
|
|
|
|
Queue videos for generation on Venice.ai. Supports text-to-video and image-to-video.
|
|
|
|
## Requirements
|
|
- `VENICE_API_KEY` environment variable
|
|
|
|
## CLI Usage
|
|
|
|
```bash
|
|
python ~/.jae/agent/skills/venice-video-queue/scripts/queue_video.py PROMPT [options]
|
|
```
|
|
|
|
### Arguments
|
|
|
|
| Argument | Required | Description |
|
|
|----------|----------|-------------|
|
|
| `PROMPT` | Yes | Text prompt describing the video |
|
|
|
|
### Options
|
|
|
|
| Option | Short | Default | Description |
|
|
|--------|-------|---------|-------------|
|
|
| `--model` | `-m` | `wan-2.5-preview-text-to-video` | Model to use |
|
|
| `--duration` | `-d` | `5s` | Video duration: `5s` or `10s` |
|
|
| `--resolution` | `-r` | `720p` | Resolution: `480p`, `720p`, `1080p` |
|
|
| `--aspect-ratio` | `-a` | None | Aspect ratio e.g. `16:9`, `9:16`, `1:1` |
|
|
| `--negative-prompt` | `-n` | None | Things to avoid in the video |
|
|
| `--image` | `-i` | None | Input image path for image-to-video |
|
|
| `--video` | `-v` | None | Input video path for video-to-video |
|
|
| `--audio` | | None | Audio file path to include |
|
|
| `--with-audio` | | False | Enable audio generation |
|
|
| `--json` | | False | Output result as JSON |
|
|
|
|
## Examples
|
|
|
|
### Text-to-Video
|
|
```bash
|
|
python ~/.jae/agent/skills/venice-video-queue/scripts/queue_video.py "A cat playing piano in a jazz club" \
|
|
--duration 5s \
|
|
--resolution 720p \
|
|
--aspect-ratio 16:9
|
|
```
|
|
|
|
### Image-to-Video
|
|
```bash
|
|
python ~/.jae/agent/skills/venice-video-queue/scripts/queue_video.py "Animate this scene with gentle motion" \
|
|
--image /path/to/image.png \
|
|
--model wan-2.5-preview-image-to-video \
|
|
--duration 5s
|
|
```
|
|
|
|
### JSON Output
|
|
```bash
|
|
python ~/.jae/agent/skills/venice-video-queue/scripts/queue_video.py "Cinematic sunset" --json
|
|
# Output: {"model": "wan-2.5-preview-text-to-video", "queue_id": "abc123..."}
|
|
```
|
|
|
|
## Output
|
|
|
|
On success, displays:
|
|
```
|
|
✅ Video queued successfully!
|
|
Model: wan-2.5-preview-text-to-video
|
|
Queue ID: abc123-def456-...
|
|
|
|
To retrieve, run:
|
|
python retrieve_video.py wan-2.5-preview-text-to-video abc123-def456-...
|
|
```
|
|
|
|
## Retrieval
|
|
|
|
After queuing, use the `venice-video-retrieve` skill:
|
|
```bash
|
|
python ~/.jae/agent/skills/venice-video-retrieve/scripts/retrieve_video.py MODEL QUEUE_ID
|
|
```
|
|
|
|
## Common Models
|
|
|
|
| Model | Type | Notes |
|
|
|-------|------|-------|
|
|
| `wan-2.5-preview-text-to-video` | Text-to-video | Default, good quality |
|
|
| `wan-2.5-preview-image-to-video` | Image-to-video | Animate still images |
|
|
| `veo3.1-full-image-to-video` | Image-to-video | No aspect_ratio support |
|
|
|
|
## Programmatic Usage
|
|
|
|
```python
|
|
from queue_video import queue_video, queue_text_to_video, queue_image_to_video
|
|
|
|
# Text-to-video
|
|
result = queue_text_to_video(
|
|
prompt="A cat playing piano",
|
|
duration="5s",
|
|
resolution="720p"
|
|
)
|
|
print(f"Queue ID: {result.queue_id}")
|
|
|
|
# Image-to-video
|
|
result = queue_image_to_video(
|
|
prompt="Animate this scene",
|
|
image_path="/path/to/image.png"
|
|
)
|
|
```
|