valknar
941fd14ccf
Rename all identifiers, strings, file names, env vars, CLI entry point, ASCII banner, and API endpoint to reflect the company rebrand. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
480 lines
15 KiB
Markdown
480 lines
15 KiB
Markdown
# Magnific AI CLI
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A sophisticated, beautiful command-line interface for the [Magnific AI API](https://magnific.ai) — generate images, animate videos, upscale media, and more, all from your terminal.
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```
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███╗ ███╗ █████╗ ██████╗ ███╗ ██╗██╗███████╗██╗ ██████╗
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████╗ ████║██╔══██╗██╔════╝ ████╗ ██║██║██╔════╝██║██╔════╝
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██╔████╔██║███████║██║ ███╗██╔██╗ ██║██║█████╗ ██║██║
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██║╚██╔╝██║██╔══██║██║ ██║██║╚██╗██║██║██╔══╝ ██║██║
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██║ ╚═╝ ██║██║ ██║╚██████╔╝██║ ╚████║██║██║ ██║╚██████╗
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╚═╝ ╚═╝╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═══╝╚═╝╚═╝ ╚═╝ ╚═════╝
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AI Media Generation CLI • v0.1.0
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```
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## Features
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- **9 commands** covering image generation, video generation, upscaling, editing, and analysis
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- **Beautiful terminal UI** — live polling panels, progress bars, color-coded status, Rich-themed output
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- **15+ AI models** — Flux, Mystic, Seedream, Kling, Minimax, Runway, and more
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- **Async-first** — all long-running tasks poll with exponential backoff; use `--no-wait` for fire-and-forget
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- **Zero config required** — just set `MAGNIFIC_API_KEY` and go
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## Installation
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### Prerequisites
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- Python 3.11+
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- A [Magnific API key](https://magnific.ai) (free tier includes $5 credit)
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### Setup
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```bash
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git clone <repo>
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cd magnific
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python3 -m venv .venv
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source .venv/bin/activate # Windows: .venv\Scripts\activate
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pip install -e .
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```
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### API Key
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```bash
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export MAGNIFIC_API_KEY=your_api_key_here
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```
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Or add it to a `.env` file in the project root (see `.env.example`).
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## Quick Start
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```bash
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# Generate an image
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magnific generate-image "a misty forest at dawn, cinematic lighting"
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# Animate an image into a video
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magnific generate-video photo.jpg --prompt "gentle camera drift" --duration 5
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# Upscale an image 4x
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magnific upscale-image photo.jpg --mode precision-v2 --scale 4x
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# Upscale a video
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magnific upscale-video clip.mp4 --mode turbo
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# Describe an image (reverse-engineer its prompt)
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magnific describe-image painting.jpg
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```
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## Commands
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### `generate-image`
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Generate an image from a text prompt.
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```bash
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magnific generate-image <prompt> [OPTIONS]
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```
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| Option | Short | Default | Description |
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|--------|-------|---------|-------------|
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| `--model` | `-m` | `flux-2-pro` | AI model to use |
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| `--aspect-ratio` | `-a` | — | e.g. `16:9`, `1:1`, `9:16`, `4:3` |
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| `--negative-prompt` | `-n` | — | Concepts to exclude |
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| `--seed` | | — | Integer seed for reproducibility |
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| `--input-image` | `-i` | — | Reference image for img2img (flux-kontext-pro) |
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| `--output` | `-o` | auto | Output file path |
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| `--wait / --no-wait` | | `--wait` | Wait for completion or return task ID |
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| `--api-key` | | `$MAGNIFIC_API_KEY` | API key override |
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**Available models:**
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| Model | Description |
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|-------|-------------|
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| `flux-2-pro` | High-quality, versatile (default) |
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| `mystic` | Magnific's exclusive photorealistic workflow |
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| `flux-kontext-pro` | Instruction-based image editing (img2img) |
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| `flux-2-turbo` | Fast generation |
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| `flux-pro-1.1` | Flux Pro v1.1 |
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| `seedream-v4` | Quality generation with editing support |
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| `seedream-v4-5` | Seedream v4.5 (faster) |
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| `ideogram-v2` | Ideogram v2 |
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**Examples:**
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```bash
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magnific generate-image "a cat on the moon, oil painting style"
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magnific generate-image "cyberpunk city at night" --model mystic --aspect-ratio 16:9
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magnific generate-image "make the sky orange at sunset" --model flux-kontext-pro --input-image photo.jpg
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magnific generate-image "portrait of a wizard" --seed 42 --output wizard.jpg
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magnific generate-image "vast ocean panorama" --model flux-2-pro --no-wait
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```
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---
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### `generate-video`
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Animate a source image into a short video clip.
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```bash
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magnific generate-video <image> [OPTIONS]
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```
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| Option | Short | Default | Description |
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|--------|-------|---------|-------------|
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| `--model` | `-m` | `kling-o1-pro` | Video AI model |
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| `--prompt` | `-p` | — | Motion/style guidance |
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| `--duration` | `-d` | `5` | Duration in seconds (`5` or `10`) |
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| `--aspect-ratio` | `-a` | `16:9` | `16:9` \| `9:16` \| `1:1` |
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| `--seed` | | — | Seed for reproducibility |
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| `--output` | `-o` | auto | Output `.mp4` path |
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| `--wait / --no-wait` | | `--wait` | |
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| `--api-key` | | `$MAGNIFIC_API_KEY` | |
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**Available models:**
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| Model | Description |
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|-------|-------------|
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| `kling-o1-pro` | Best quality, first/last frame interpolation (default) |
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| `kling-o1-std` | Standard quality Kling O1 |
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| `kling-elements-pro` | Kling Elements Pro |
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| `kling-elements-std` | Kling Elements Standard |
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| `minimax-hailuo` | Minimax Hailuo 1080p |
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| `wan-2.5` | WAN 2.5 |
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| `runway-gen4` | Runway Gen4 |
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**Examples:**
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```bash
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magnific generate-video photo.jpg --prompt "gentle ocean waves lapping at the shore"
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magnific generate-video portrait.png --model minimax-hailuo --duration 10 --aspect-ratio 9:16
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magnific generate-video landscape.jpg --model kling-o1-pro --output timelapse.mp4
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```
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---
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### `upscale-image`
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Upscale and enhance an image using AI.
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```bash
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magnific upscale-image <image> [OPTIONS]
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```
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| Option | Short | Default | Description |
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|--------|-------|---------|-------------|
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| `--mode` | | `precision-v2` | Upscaling mode (see below) |
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| `--scale` | | `2x` | Scale factor: `2x` or `4x` |
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| `--creativity` | | — | Creative level 0–10 (creative mode only) |
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| `--prompt` | `-p` | — | Enhancement guidance (creative mode only) |
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| `--seed` | | — | Seed for reproducibility |
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| `--output` | `-o` | auto | Output file path |
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| `--wait / --no-wait` | | `--wait` | |
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| `--api-key` | | `$MAGNIFIC_API_KEY` | |
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**Modes:**
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| Mode | Description |
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|------|-------------|
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| `precision-v2` | Faithful, detail-preserving upscale (recommended) |
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| `precision` | Faithful upscaling |
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| `creative` | AI-enhanced creative reinterpretation |
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**Examples:**
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```bash
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magnific upscale-image photo.jpg --scale 4x
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magnific upscale-image photo.jpg --mode precision-v2 --scale 2x --output photo_hd.jpg
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magnific upscale-image portrait.jpg --mode creative --creativity 6 --prompt "sharp cinematic texture"
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```
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---
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### `upscale-video`
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Upscale a video to higher resolution using AI.
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```bash
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magnific upscale-video <video> [OPTIONS]
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```
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| Option | Short | Default | Description |
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|--------|-------|---------|-------------|
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| `--mode` | | `standard` | `standard` \| `turbo` (faster) |
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| `--output` | `-o` | auto | Output `.mp4` path |
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| `--wait / --no-wait` | | `--wait` | |
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| `--api-key` | | `$MAGNIFIC_API_KEY` | |
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**Examples:**
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```bash
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magnific upscale-video clip.mp4
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magnific upscale-video clip.mp4 --mode turbo --output clip_4k.mp4
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```
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---
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### `generate-icon`
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Generate an icon from a text prompt in various styles.
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```bash
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magnific generate-icon <prompt> [OPTIONS]
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```
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| Option | Short | Default | Description |
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|--------|-------|---------|-------------|
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| `--style` | `-s` | `color` | `solid` \| `outline` \| `color` \| `flat` \| `sticker` |
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| `--format` | `-f` | `png` | `png` \| `svg` |
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| `--steps` | | `30` | Inference steps (10–50) |
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| `--guidance` | | `7.5` | Guidance scale (0–10) |
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| `--seed` | | — | |
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| `--output` | `-o` | auto | |
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**Examples:**
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```bash
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magnific generate-icon "shopping cart" --style solid --format svg
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magnific generate-icon "rocket ship" --style color --format png
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magnific generate-icon "leaf" --style outline --format svg --output leaf.svg
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```
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---
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### `expand-image`
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Expand an image by generating new content around its edges (outpainting).
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```bash
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magnific expand-image <image> [OPTIONS]
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```
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| Option | Default | Description |
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|--------|---------|-------------|
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| `--left` | `0` | Pixels to add on the left (0–2048) |
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| `--right` | `0` | Pixels to add on the right (0–2048) |
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| `--top` | `0` | Pixels to add on top (0–2048) |
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| `--bottom` | `0` | Pixels to add on the bottom (0–2048) |
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| `--prompt` / `-p` | — | Guide the expansion content |
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| `--model` / `-m` | `flux-pro` | `flux-pro` \| `ideogram` \| `seedream-v4-5` |
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| `--seed` | — | |
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| `--output` / `-o` | auto | |
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**Examples:**
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```bash
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magnific expand-image photo.jpg --left 512 --right 512 --prompt "lush green forest"
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magnific expand-image banner.png --bottom 256 --model seedream-v4-5
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magnific expand-image portrait.jpg --top 300 --bottom 300 --prompt "studio backdrop"
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```
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---
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### `describe-image`
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Analyze an image and generate a descriptive text prompt for it — useful for reverse-engineering AI images or building prompt libraries.
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```bash
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magnific describe-image <image> [OPTIONS]
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```
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| Option | Short | Description |
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|--------|-------|-------------|
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| `--output` | `-o` | Save the prompt text to a `.txt` file |
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| `--wait / --no-wait` | | |
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| `--api-key` | | |
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**Examples:**
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```bash
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magnific describe-image painting.jpg
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magnific describe-image scene.png --output scene_prompt.txt
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```
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---
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### `relight` *(Premium)*
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Relight an image using AI-controlled lighting.
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```bash
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magnific relight <image> [OPTIONS]
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```
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| Option | Short | Description |
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|--------|-------|-------------|
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| `--prompt` | `-p` | Lighting description e.g. `"dramatic studio lighting"` |
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| `--style` | `-s` | Lighting style preset |
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| `--output` | `-o` | |
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**Examples:**
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```bash
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magnific relight portrait.jpg --prompt "warm golden hour sunlight from the left"
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magnific relight product.png --prompt "soft studio lighting, white background"
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```
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---
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### `style-transfer` *(Premium)*
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Apply the artistic style from one image onto the content of another.
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```bash
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magnific style-transfer <content-image> <style-image> [OPTIONS]
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```
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| Option | Description |
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|--------|-------------|
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| `--strength` | Style strength 0.0–1.0 |
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| `--output` / `-o` | |
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**Examples:**
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```bash
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magnific style-transfer photo.jpg van_gogh.jpg
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magnific style-transfer portrait.png impressionist.jpg --strength 0.75 --output styled.jpg
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```
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---
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### `config`
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Manage CLI configuration stored at `~/.config/magnific-cli/config.toml`.
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```bash
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magnific config show # Display all settings (as a table)
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magnific config show --toml # Display as highlighted TOML
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magnific config get <key> # Print a single value
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magnific config set <key> <value> # Update a setting
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magnific config reset # Reset to defaults
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magnific config path # Print the config file path
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```
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**Configurable keys:**
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| Key | Default | Description |
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|-----|---------|-------------|
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| `default_image_model` | `flux-2-pro` | Default model for `generate-image` |
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| `default_video_model` | `kling-o1-pro` | Default model for `generate-video` |
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| `default_upscale_mode` | `precision-v2` | Default mode for `upscale-image` |
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| `default_output_dir` | `.` | Directory for auto-generated output files |
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| `base_url` | `https://api.magnific.ai` | API base URL |
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| `poll_timeout` | `600` | Max seconds to wait for task completion |
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| `poll_max_interval` | `15` | Max seconds between polling attempts |
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| `show_banner` | `true` | Show the ASCII art banner |
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> **Note:** The API key is never saved to the config file. Use `MAGNIFIC_API_KEY` or `--api-key`.
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**Examples:**
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```bash
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magnific config set default_image_model mystic
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magnific config set default_output_dir ~/Pictures/magnific
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magnific config set show_banner false
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magnific config set poll_timeout 300
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```
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## Configuration
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Settings are resolved in this priority order (highest wins):
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1. `--api-key` / `--model` / etc. command-line flags
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2. `MAGNIFIC_*` environment variables (e.g. `MAGNIFIC_API_KEY`)
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3. `~/.config/magnific-cli/config.toml`
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4. Built-in defaults
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### Environment Variables
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| Variable | Description |
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|----------|-------------|
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| `MAGNIFIC_API_KEY` | Your Magnific API key **(required)** |
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| `MAGNIFIC_BASE_URL` | API base URL override |
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| `MAGNIFIC_DEFAULT_IMAGE_MODEL` | Default image model |
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| `MAGNIFIC_DEFAULT_VIDEO_MODEL` | Default video model |
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| `MAGNIFIC_DEFAULT_OUTPUT_DIR` | Default output directory |
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| `MAGNIFIC_POLL_TIMEOUT` | Task polling timeout in seconds |
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| `MAGNIFIC_SHOW_BANNER` | Show/hide the ASCII banner (`true`/`false`) |
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## Output Files
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When no `--output` path is provided, files are saved with an auto-generated name:
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```
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magnific_image_flux-2-pro_20260408_143022.jpg
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magnific_video_kling-o1-pro_20260408_143512.mp4
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magnific_upscaled_precision-v2_20260408_144001.jpg
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```
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The default output directory is the current working directory. Change it with:
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```bash
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magnific config set default_output_dir ~/Pictures/magnific
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```
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## Async Workflows (`--no-wait`)
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Every command supports `--no-wait` to submit a task and return immediately without polling:
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```bash
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# Submit and get task ID instantly
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magnific generate-image "a nebula" --model mystic --no-wait
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# Task Queued
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# Task ID: c3f2a1b8-...
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# Type: image
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# Model: mystic
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```
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This is useful for batching multiple requests or integrating with scripts.
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## Shell Completion
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Install tab-completion for your shell:
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```bash
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magnific --install-completion # auto-detects your shell
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```
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Supports bash, zsh, fish, and PowerShell.
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## Project Structure
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```
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magnific/
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├── pyproject.toml
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├── .env.example
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├── magnific_cli/
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│ ├── main.py # CLI entry point
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│ ├── api/
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│ │ ├── client.py # HTTP client (httpx)
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│ │ ├── models.py # Enums, endpoint maps, response helpers
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│ │ ├── images.py # Image generation & analysis API
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│ │ ├── videos.py # Video generation API
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│ │ ├── upscale.py # Image & video upscaling API
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│ │ └── edit.py # Icon, relight, style-transfer API
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│ ├── commands/
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│ │ ├── generate.py # generate-image, generate-video, generate-icon
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│ │ ├── upscale.py # upscale-image, upscale-video
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│ │ ├── edit.py # expand-image, relight, style-transfer
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│ │ ├── analyze.py # describe-image
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│ │ └── config.py # config management
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│ └── utils/
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│ ├── console.py # Rich console, theme, display helpers
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│ ├── config.py # MagnificConfig (pydantic-settings)
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│ ├── polling.py # Live polling with Rich
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│ └── files.py # Base64 encoding, download, path utils
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```
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## Dependencies
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| Package | Purpose |
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|---------|---------|
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| `typer[all]` | CLI framework with Rich integration |
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| `rich` | Beautiful terminal output |
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| `httpx` | HTTP client |
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| `pydantic-settings` | Config + env var management |
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| `pillow` | Image dimension reading |
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| `platformdirs` | Cross-platform config paths |
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| `toml` | Config file format |
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