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.
89 lines
2.3 KiB
Markdown
89 lines
2.3 KiB
Markdown
# Venice Image Generation
|
|
|
|
Generate images from text prompts using the [Venice.ai](https://venice.ai/) image generation API. Supports multiple resolutions, aspect ratios, formats, and up to 4 variants per request.
|
|
|
|
## Features
|
|
|
|
- **Text-to-image** generation with customizable prompts
|
|
- **Multiple resolutions** -- 1K, 2K, 4K
|
|
- **Aspect ratios** -- 1:1, 16:9, 9:16, 4:3, 3:4
|
|
- **Negative prompts** -- specify what to avoid
|
|
- **Multiple variants** -- generate 1-4 images per request
|
|
- **Output formats** -- webp, png, jpeg
|
|
- **Reproducible results** with seed parameter
|
|
|
|
## Prerequisites
|
|
|
|
```bash
|
|
pip install requests
|
|
export VENICE_API_KEY="your_venice_api_key"
|
|
```
|
|
|
|
## Usage
|
|
|
|
### Basic
|
|
|
|
```bash
|
|
python scripts/generate_image.py "A beautiful sunset over mountains"
|
|
```
|
|
|
|
### With options
|
|
|
|
```bash
|
|
python scripts/generate_image.py "A futuristic cityscape at night" \
|
|
--resolution 2K \
|
|
--aspect_ratio 16:9 \
|
|
--negative_prompt "blurry, low quality" \
|
|
--variants 2 \
|
|
--format png \
|
|
--output cityscape.png
|
|
```
|
|
|
|
## Options
|
|
|
|
| Option | Default | Values | Description |
|
|
|--------|---------|--------|-------------|
|
|
| `prompt` | *(required)* | text | Image description |
|
|
| `--model` | `nano-banana-2` | model ID | Generation model |
|
|
| `--resolution` | `1K` | `1K`, `2K`, `4K` | Image resolution |
|
|
| `--aspect_ratio` | `1:1` | `1:1`, `16:9`, `9:16`, `4:3`, `3:4` | Aspect ratio |
|
|
| `--negative_prompt` | None | text | What to avoid |
|
|
| `--variants` | `1` | `1`-`4` | Number of images |
|
|
| `--format` | `webp` | `webp`, `png`, `jpeg` | Output format |
|
|
| `--seed` | None | integer | Random seed for reproducibility |
|
|
| `--no-safe-mode` | off | flag | Disable safe mode |
|
|
| `--output` / `-o` | auto | path | Output file path |
|
|
|
|
## Python Import
|
|
|
|
```python
|
|
from generate_image import generate_image
|
|
|
|
result = generate_image(
|
|
prompt="A cat wearing a top hat",
|
|
resolution="2K",
|
|
aspect_ratio="1:1",
|
|
variants=2
|
|
)
|
|
|
|
for path in result["images"]:
|
|
print(f"Saved: {path}")
|
|
```
|
|
|
|
## Response Format
|
|
|
|
```python
|
|
{
|
|
"success": True,
|
|
"model": "nano-banana-2",
|
|
"prompt": "A cat wearing a top hat",
|
|
"images": ["/path/to/generated_20260305_143200.webp"],
|
|
"count": 1
|
|
}
|
|
```
|
|
|
|
## Environment Variables
|
|
|
|
| Variable | Required | Description |
|
|
|----------|----------|-------------|
|
|
| `VENICE_API_KEY` | Yes | Venice.ai API key |
|