gpt-image
Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI. Models: GPT-Image-2. Capabilities: text-to-image, image editing, inpainting, mask-based editing, multi-image reference, batch generation. Use for: product mockups, marketing visuals, image editing, concept art, inpainting, photo manipulation. Triggers: gpt image, gpt-image-2, openai image, chatgpt image, dall-e, dalle, openai image generation, gpt image edit, gpt inpainting, openai dall-e, gpt 4o image
What this skill does
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# GPT-Image-2
Generate and edit images with OpenAI's GPT-Image-2 via [inference.sh](https://inference.sh) CLI.
## Quick Start
> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)
```bash
belt login
belt app run openai/gpt-image-2 --input '{"prompt": "a cat astronaut floating in space"}'
```
## Capabilities
GPT-Image-2 supports text-to-image generation, image editing with reference images, and mask-based inpainting — all through a single model.
| Feature | Description |
|---------|-------------|
| Text-to-Image | Generate images from text prompts |
| Image Editing | Edit images using reference images |
| Inpainting | Mask-based editing of specific regions |
| Batch Generation | Generate up to 10 images at once |
| Multiple Formats | PNG, JPEG, WebP output |
| Flexible Resolution | Any size in 32px increments (256–4096) |
## Examples
### Text-to-Image
```bash
belt app run openai/gpt-image-2 --input '{
"prompt": "professional product photo of sneakers on a white background, studio lighting",
"quality": "high"
}'
```
### Multiple Images
```bash
belt app run openai/gpt-image-2 --input '{
"prompt": "minimalist logo design for a coffee shop",
"n": 4,
"quality": "medium"
}'
```
### Image Editing with Reference
```bash
belt app run openai/gpt-image-2 --input '{
"prompt": "change the background to a beach at sunset",
"images": ["https://your-image.jpg"]
}'
```
### Multi-Image Reference
```bash
belt app run openai/gpt-image-2 --input '{
"prompt": "combine these two characters into one scene",
"images": ["https://character1.jpg", "https://character2.jpg"]
}'
```
### Inpainting with Mask
```bash
belt app run openai/gpt-image-2 --input '{
"prompt": "replace with a red sports car",
"images": ["https://street-scene.jpg"],
"mask": "https://car-mask.png"
}'
```
### Custom Resolution
```bash
belt app run openai/gpt-image-2 --input '{
"prompt": "wide cinematic landscape, mountains at golden hour",
"width": 1920,
"height": 1080,
"quality": "high"
}'
```
### Fast Drafts
```bash
belt app run openai/gpt-image-2 --input '{
"prompt": "quick concept sketch of a robot",
"quality": "low"
}'
```
## Pricing
| Quality | ~Price per Image |
|---------|-----------------|
| Low | $0.006 |
| Medium | $0.024 |
| High | $0.21 |
Larger resolutions cost more. See `belt app get openai/gpt-image-2` for full pricing details.
## Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `prompt` | string | required | Text prompt describing the image |
| `images` | array | - | Reference image(s) for editing |
| `mask` | string | - | Mask image for inpainting |
| `n` | integer | 1 | Number of images (1–10) |
| `quality` | string | - | low, medium, or high |
| `width` | integer | - | Output width (256–4096, multiples of 32) |
| `height` | integer | - | Output height (256–4096, multiples of 32) |
| `output_format` | string | png | png, jpeg, or webp |
| `output_compression` | integer | - | Compression level for jpeg/webp (0–100) |
## Related Skills
```bash
# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli
# All image generation models
npx skills add inference-sh/skills@ai-image-generation
# FLUX models
npx skills add inference-sh/skills@flux-image
# Pruna P-Image (fast & economical)
npx skills add inference-sh/skills@p-image
```
Browse all image apps: `belt app store --category image`
## Documentation
- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI
- [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates
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