Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate, edit, and manage images via OpenAI's GPT Image and DALL-E models.
Generate, edit, and manage images via OpenAI's GPT Image and DALL-E models.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Generate, edit, and create variations of images using OpenAI's latest models.
npm install -g @versatly/openai-image-cli
# Via environment variable export OPENAI_API_KEY=sk-... # Or via config openai-image config set api-key sk-...
# 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
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
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 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
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
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"}
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
List available models. openai-image models [--json]
View local generation history. openai-image history [-n <limit>] [--json] [--clear]
โ Generated image saved to ./generated-1707500000.png Model: gpt-image-1.5 Size: 1024x1024 Quality: high Tokens: 150 (text: 10, image: 140)
{ "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 } }
ModelSizesGPT Image1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), autoDALL-E 31024x1024, 1792x1024, 1024x1792DALL-E 2256x256, 512x512, 1024x1024
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
npm: https://www.npmjs.com/package/@versatly/openai-image-cli GitHub: https://github.com/Versatly/openai-image-cli
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