Multimodal media generation CLI for Google GenAI
Project description
genmedia
Multimodal media generation CLI for Google GenAI. Images, video, and image editing from the terminal. Bring your own API key.
Install
# uv (fastest)
uv tool install genmedia
# or run without installing
uvx genmedia image "a cat on a skateboard" --pretty
# pipx
pipx install genmedia
# pip
pip install genmedia
Requires Python 3.11+.
Setup
Get a Gemini API key and set it:
export GEMINI_API_KEY="your-key-here"
Usage
Generate images
# Simple
genmedia image "a cat on a skateboard" --pretty
# Full control
genmedia image "abstract gradient, soft pastels" \
--model gemini-3.1-flash-image-preview \
--size 4K \
--aspect 16:9 \
--output backgrounds/pastel.png
# Batch
genmedia image "product mockup on marble" --count 3 --output-dir shots/
# Using Imagen
genmedia image "photorealistic mountain lake" --model imagen-4.0-generate-001
Edit images
genmedia edit input.png "remove the background" --pretty
genmedia edit photo.jpg "make the sky more dramatic" -o edited.jpg
Generate video
# Text-to-video
genmedia video "a cat riding a skateboard downhill at sunset" --duration 8 --pretty
# Image-to-video (animate a still image)
genmedia video "the scene comes to life" --image keyframe.jpg --pretty
# Frame interpolation (morph between two images)
genmedia video "smooth transition" --image start.jpg --last-frame end.jpg
List models
genmedia image --list-models
genmedia video --list-models
Dry run
genmedia image "test" --dry-run # shows request payload without calling API
Output
JSON by default (for AI agents and scripts):
{
"status": "success",
"files": [
{
"path": "/tmp/genmedia/genmedia_001.jpg",
"mime_type": "image/jpeg",
"size_bytes": 534182
}
],
"model": "gemini-3.1-flash-image-preview",
"elapsed_seconds": 14.3,
"request": {
"prompt": "a cat on a skateboard",
"aspect_ratio": "16:9"
}
}
Use --pretty for human-friendly output:
Saved to /tmp/genmedia/genmedia_001.jpg (521.7 KB)
Model: gemini-3.1-flash-image-preview | Time: 14.3s
Errors go to stderr as JSON with distinct exit codes:
0— success1— API error (rate limit, server error, content blocked)2— validation error (bad params, missing API key)3— file I/O error
Models
Image generation
| Model | Notes |
|---|---|
gemini-3.1-flash-image-preview |
Default. Best quality. |
gemini-3-pro-image-preview |
Previous generation. |
gemini-2.5-flash-image |
Older, faster. |
imagen-4.0-generate-001 |
Imagen. Different API, good for photorealism. |
Video generation
| Model | Notes |
|---|---|
veo-3.0-generate-001 |
Default. Standard quality. |
veo-3.0-fast-generate-001 |
Faster, lower quality. |
veo-3.1-generate-preview |
Newer preview. |
veo-3.1-fast-generate-preview |
Newer fast preview. |
For AI agents
genmedia is designed to be called by AI agents. JSON output by default, structured errors on stderr, distinct exit codes for branching. No interactive prompts, no spinners unless --pretty is set.
import subprocess, json
result = subprocess.run(
["genmedia", "image", "a logo for my app", "--aspect", "1:1"],
capture_output=True, text=True
)
if result.returncode == 0:
data = json.loads(result.stdout)
image_path = data["files"][0]["path"]
License
MIT
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