← ClaudeAtlas

p-imagelisted

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
aiskillstore/marketplace · ★ 329 · AI & Automation · score 82
Install: claude install-skill aiskillstore/marketplace
# 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 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`, `et