tools/image/image-upscaling/SKILL.md
Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topaz Image Upscaler. Use for: enhance low-res images, upscale AI art, restore old photos, increase resolution. Triggers: upscale image, image upscaler, enhance image, increase resolution, real esrgan, ai upscale, super resolution, image enhancement, upscaling, enlarge image, higher resolution, 4k upscale, hd upscale
npx skillsauth add inference-sh/agent-skills image-upscalingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Upscale and enhance images via inference.sh CLI.

Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run infsh/real-esrgan --input '{"image_url": "https://your-image.jpg"}'
| Model | App ID | Best For |
|-------|--------|----------|
| Topaz Image Upscaler | falai/topaz-image-upscaler | Professional quality, any image |
belt app run falai/topaz-image-upscaler --input '{"image_url": "https://low-res-image.jpg"}'
# 1. Generate image with FLUX Klein (fast)
belt app run falai/flux-2-klein-lora --input '{"prompt": "landscape painting"}' > image.json
# 2. Upscale the result
belt app run falai/topaz-image-upscaler --input '{"image_url": "<url-from-step-1>"}'
# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli
# Image generation (generate then upscale)
npx skills add inference-sh/skills@ai-image-generation
# FLUX models
npx skills add inference-sh/skills@flux-image
# Background removal
npx skills add inference-sh/skills@background-removal
Browse all image apps: belt app list --category image
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