halt-catch-fire/superpowers

p-image

Generate images with Pruna P-Image models via inference.sh CLI.

查看源码

使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/halt-catch-fire/superpowers --skill p-image

开始前需了解

  • 安装不包含模型订阅、API 额度或访问文件的权限。
  • 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

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
P-Image Generation

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-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

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