Agent skill · Code Review & Quality

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

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill p-image-aiskillstore-marketplace --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: Bash(infsh*)
Path: skills/ai-ml/p-image-aiskillstore-marketplace/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools` ```bash infsh login infsh 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 infsh 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 infsh app

What's inside
Steps it walks through
  1. Quick Start
  2. P-Image Models
  3. Examples
  4. Text-to-Image
  5. With LoRA Presets
  6. Image Editing
  7. Multi-Image Compositing
  8. Custom Aspect Ratios
  9. Other Pruna Models
  10. Browse All Pruna Apps
  11. Related Skills
  12. Documentation
Ships with 1 file
  • metadata.json
Commands it runs
infsh login
infsh app run pruna/p-image --input '{"prompt": "a futuristic cityscape at sunset"}'
infsh app run pruna/p-image --input '{
infsh app run pruna/p-image-lora --input '{
infsh app run pruna/p-image-edit --input '{
FLUX Dev (optimized)
infsh app run pruna/flux-dev --input '{"prompt": "..."}'
FLUX Klein 4B (extremely fast, $0.0001/image)
infsh app run pruna/flux-klein-4b --input '{"prompt": "..."}'
Qwen Image
More from claude-skill-registry
All skills →
About this skill
What does the p-image 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

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill p-image-aiskillstore-marketplace --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going