tools/image/p-image/SKILL.md
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
npx skillsauth add inference-sh/agent-skills p-imageInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Generate images with Pruna's optimized P-Image models via inference.sh CLI.

Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run pruna/p-image --input '{"prompt": "a futuristic cityscape at sunset"}'
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 |
belt app run pruna/p-image --input '{
"prompt": "professional product photo of sneakers, studio lighting",
"aspect_ratio": "1:1"
}'
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
belt app run pruna/p-image-edit --input '{
"prompt": "change the background to a beach",
"images": ["https://your-image.jpg"]
}'
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"]
}'
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
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": "..."}'
belt app list --namespace pruna
# Full platform skill (all 250+ 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
development
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
tools
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
documentation
Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image
tools
Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video