P Image logo

P Image

Organization
inference-sh
p-image

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

Overview

Publisherinference-sh
Repositoryskills
Skill namep-image
Stars
790
Forks
106
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by inference-sh on GitHub. Read the source before you install it.

Installation

Install the P Image AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/inference-sh/skills/tree/main/tools/image/p-image
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/inference-sh/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/tools/image/p-image .claude/skills/p-image
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable P Image in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads P Image on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so P Image is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

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.

ModelApp IDBest For
P-Imagepruna/p-imageFast text-to-image, multiple aspect ratios
P-Image-LoRApruna/p-image-loraCustom styles with preset LoRAs
P-Image-Editpruna/p-image-editImage editing with multi-image support
P-Image-Edit-LoRApruna/p-image-edit-loraStylized 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

Frequently asked questions

What does the P Image AI skill do?

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

Why use P Image on TypingMind?

Because you install it once and use it with any model. P Image is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install P Image in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inference-sh/skills/tree/main/tools/image/p-image. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use P Image?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with P Image?

As many as you like. As long as a model supports skills, you can use P Image with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the P Image AI skill free?

It is published on GitHub by inference-sh. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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