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OpenAI Image CLI

Generate, edit, and manage images via OpenAI's GPT Image and DALL-E models.

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Generate, edit, and manage images via OpenAI's GPT Image and DALL-E models.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 17 sections Open source page

OpenAI Image CLI

Generate, edit, and create variations of images using OpenAI's latest models.

Installation

npm install -g @versatly/openai-image-cli

Authentication

# Via environment variable export OPENAI_API_KEY=sk-... # Or via config openai-image config set api-key sk-...

Quick Start

# Generate an image openai-image generate "A futuristic city at sunset" # High quality landscape openai-image generate "Mountain panorama" -s 1536x1024 -q high # Multiple images with transparency openai-image generate "Logo design" -n 4 -b transparent # Edit an existing image openai-image edit photo.png "Add sunglasses to the person" # Create variations (DALL-E 2) openai-image vary original.png -n 3

Available Models

ModelDescriptionNotesgpt-image-1.5Latest GPT Image (default)Best quality, recommendedgpt-image-1GPT ImageGood balancegpt-image-1-miniGPT Image MiniCost-effectivedall-e-3DALL-E 3Deprecated May 2026dall-e-2DALL-E 2Deprecated May 2026, supports variations

generate

Create images from text prompts. openai-image generate "prompt" [options] Options: -m, --model <model> Model (default: gpt-image-1.5) -s, --size <size> Size: 1024x1024, 1536x1024, 1024x1536, auto -q, --quality <quality> Quality: auto, high, medium, low -n, --count <n> Number of images (1-10) -f, --format <format> Format: png, jpeg, webp -o, --output <path> Output file/directory -b, --background <bg> Background: auto, transparent, opaque --compression <0-100> Compression level for jpeg/webp --moderation <level> Content moderation: auto, low --stream Enable streaming with partial images --partial-images <0-3> Partial images during streaming --json Output JSON response --dry-run Show request without executing

edit

Edit existing images with prompts. openai-image edit <image> "instructions" [options] Options: --mask <path> Mask image for inpainting --images <paths...> Additional reference images (up to 16) -s, --size <size> Output size -q, --quality <quality> Quality level -n, --count <n> Number of variations -f, --format <format> Output format -o, --output <path> Output path Examples: # Simple edit openai-image edit photo.png "Add sunglasses" # Inpainting with mask openai-image edit room.png "Add a plant" --mask mask.png # Multi-image composite openai-image edit base.png "Create gift basket" --images item1.png item2.png

vary

Create variations of an image (DALL-E 2 only). openai-image vary <image> [options] Options: -n, --count <n> Number of variations (1-10) -s, --size <size> Size: 256x256, 512x512, 1024x1024 -o, --output <path> Output path/directory

batch

Generate multiple images from a file or stdin. openai-image batch [options] Options: -i, --input <file> Input file (text or JSONL) --stdin Read from stdin -m, --model <model> Model for all generations -o, --output-dir <dir> Output directory --parallel <n> Concurrent requests (default: 3) --delay <ms> Delay between requests (default: 100) JSONL format: {"prompt": "A red car", "size": "1024x1024", "quality": "high"} {"prompt": "A blue boat", "size": "1536x1024"}

config

Manage CLI configuration. openai-image config set <key> <value> openai-image config get <key> openai-image config list openai-image config reset openai-image config path Keys: api-key, default-model, default-size, default-quality, default-format, output-dir

models

List available models. openai-image models [--json]

history

View local generation history. openai-image history [-n <limit>] [--json] [--clear]

Default (human-readable)

โœ“ Generated image saved to ./generated-1707500000.png Model: gpt-image-1.5 Size: 1024x1024 Quality: high Tokens: 150 (text: 10, image: 140)

JSON (--json)

{ "success": true, "file": "./generated-1707500000.png", "model": "gpt-image-1.5", "size": "1024x1024", "quality": "high", "usage": { "total_tokens": 150, "input_tokens": 50, "output_tokens": 100 } }

Size Options

ModelSizesGPT Image1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), autoDALL-E 31024x1024, 1792x1024, 1024x1792DALL-E 2256x256, 512x512, 1024x1024

Tips

Transparent backgrounds: Use -b transparent -f png for logos Batch processing: Use JSONL for per-image options Cost control: Use gpt-image-1-mini for drafts History tracking: Enabled by default, view with openai-image history

Links

npm: https://www.npmjs.com/package/@versatly/openai-image-cli GitHub: https://github.com/Versatly/openai-image-cli

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc