p-image

от qu-skills

Генерация изображений с помощью моделей Pruna P-Image через CLI inference.sh. Модели: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Возможности: текст-в-изображение, редактирование изображений, стили LoRA, многокомпонентная композиция, быстрый инференс. Pruna оптимизирует модели для скорости без потери качества. Триггеры: pruna, p-image, pruna image, fast image generation, optimized flux, pruna ai, p image, fast ai image, economic image generation, cheap image generation

npx skills add https://github.com/qu-skills/skills --skill p-image

Скачать ZIP GitHub

668

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.

P-Image Generation

Quick Start

Requires inference.sh CLI (belt). Install instructions

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

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:

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

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

Multi-Image Compositing

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

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:

# 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

belt app list --namespace pruna

Related Skills

# 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