Atlas / Skills / inference-sh / P Image

P ImageSAFE

skills/inference-sh/p-image

inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
—
Stars
767
01

Overview

inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents

Read from source at commit d30242fc0e10OBSERVED · 2026-10-14
02

Install

Commands as the repository documents them. They are shown, not run.

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
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWInventory / provenance · inv.no_license · CWE-1104
Why it matters. no LICENSE file and no repo licence
Fix. add a licence

Gates applied: no_behavioural_pass, no_license.

Audited 2026-10-14 · audit v0.4.1 · source sha d30242fc0e10full audit observations/trust-audit/skill/inference-sh__p-image.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-14d30242fc0e10SAFEB89first audit
06

Questions

What does the P Image skill do?

inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents

Is P Image safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can P Image access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (d30242fc0e10), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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