p-image

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass, no license.

Audit 0.4.1 · source sha 4599ef28a2a7 · 31 Oct 2026Report an issue or request a re-scan

• Publisherskills-shell GitHub organizationOwner of the repository this skill is read from
• Source folderskills-shell/skills/tools/image/p-imageThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict4599ef28a2a7A new audit runs when the source changes
• Repository statusNot archivedLast push 15 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast…

---
name: p-image
description: "Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna, p-image, pruna image, fast image generation, optimized flux, pruna ai, p image, fast ai image, economic image generation, cheap image generation"
allowed-tools: Bash(belt *)
---

> **Install the belt CLI skill:** `npx skills add belt-sh/cli`

# Pruna P-Image Generation

Generate images with Pruna's optimized P-Image models via [inference.sh](https://inference.sh) CLI.

![P-Image Generation](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kkgym0yqys16pqrg9h8ctk2y.jpeg)

## 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 pruna/p-image --input '{"prompt": "a futuristic cityscape at sunset"}'
```


## P-Image Models

Pruna optimizes AI models for speed without sacrificing quality.

| Model | App ID | Best For |
|-------|--------|----------|
| P-Image | `pruna/p-image` | Fast text-to-image, multiple aspect ratios |
| P-Image-LoRA | `pruna/p-image-lora` | Custom styles with preset LoRAs |
| P-Image-Edit | `pruna/p-image-edit` | Image editing with multi-image support |
| P-Image-Edit-LoRA | `pruna/p-image-edit-lora` | Stylized image editing |

## Examples

### Text-to-Image

```bash
belt app run pruna/p-image --input '{
  "prompt": "professional product photo of sneakers, studio lighting",
  "aspect_ratio": "1:1"
}'
```

### With LoRA Presets

P-Image-LoRA includes built-in style presets:

```bash
belt app run pruna/p-image-lora --input '{
  "prompt": "portrait of a woman in golden hour light",
  "lora_preset": "photos-realism"
}'
```

Available presets: `photos-realism`, `pixel-art`, `japanese-modern-look`, `cinematic-movie-style`, `graffiti-splash`, `neon-punk`, `anime-2-5d`, `ethereal-portrait`, `retro-90s-style`, `ink-sketchbook`, `paper-cut`

### Image Editing

```bash
belt app run pruna/p-image-edit --input '{
  "prompt": "change the background to a beach",
  "images": ["https://your-image.jpg"]
}'
```

### Multi-Image Compositing

```bash
belt app run pruna/p-image-edit --input '{
  "prompt": "combine these images into a collage",
  "images": ["https://img1.jpg", "https://img2.jpg", "https://img3.jpg"]
}'
```

### Custom Aspect Ratios

```bash
belt app run pruna/p-image --input '{
  "prompt": "landscape mountain scene",
  "aspect_ratio": "16:9"
}'
```

Supported ratios: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, or `custom` with width/height

## Other Pruna Models

Pruna offers optimized versions of popular models:

```bash
# FLUX Dev (optimized)
belt app run pruna/flux-dev --input '{"prompt": "..."}'

# FLUX Klein 4B (extremely fast, $0.0001/image)
belt app run pruna/flux-2-klein-4b --input '{"prompt": "..."}'

# Qwen Image
belt app run pruna/qwen-image --input '{"prompt": "..."}'

# Z-Image Turbo (ultra-fast)
belt app run pruna/z-image-turbo --input '{"prompt": "..."}'

# WAN Image Small (batch generation)
belt app run pruna/wan-image-small --input '{"prompt": "..."}'
```

## Browse All Pruna Apps

```bash
belt app list --namespace pruna
```

## Related Skills

```bash
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# All image generation models
npx skills add inference-sh/skills@ai-image-generation

# Pruna video generation
npx skills add inference-sh/skills@p-video

# FLUX models
npx skills add inference-sh/skills@flux-image
```

Browse all apps: `belt app list`

## Documentation

- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI
- [Image Generation Example](https://inference.sh/docs/examples/image-generation) - Complete image generation guide
- [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates

Excerpt, first 4,073 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

npx skills add inference-sh/skills@infsh-cli
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@p-video
npx skills add inference-sh/skills@flux-image

git clone https://github.com/skills-shell/skills
git -C skills checkout 4599ef28a2a7

Works in

1. 2026-10-31
   ✓SAFE B 89 / 100

   first audit · source 4599ef28a2a7

Questions about p-image

• github.com/skills-shell/skills/tree/main/tools/image/p-image — the audited source at commit 4599ef28a2a7 and every finding aboveObserved · 31 Oct 2026

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