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
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add 101-skills/skills --skill "p-image" -g -a claude-code -yOr manually — copy the SKILL.md below into:
~/.claude/skills/p-image-101-skills/SKILL.md---
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.

## 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-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 store`
## 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
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues only.
Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to).