image-handling

type	skill
lifecycle	external-dependent
inheritance	inheritable
name	image-handling
description	Right format, right size, right quality — plus AI image generation via Replicate
tier	standard
applyTo	**/*.png,**/*.jpg,**/*.jpeg,**/*.webp,**/*.svg,**/*image*
currency	2026-04-22T00:00:00.000Z

Image Handling Skill

Right format, right size, right quality. Staleness Watch: See EXTERNAL-API-REGISTRY.md for source URLs and recheck cadence

Format Selection

Format	Best For	Supports
SVG	Icons, logos, diagrams	Infinite scale, animation
PNG	Screenshots, transparency	Lossless, alpha channel
JPEG	Photos, gradients	Small size, no transparency
WebP	Web images	Best compression, both
ICO	Favicons	Multi-resolution

Conversion Commands

# SVG to PNG using sharp-cli (recommended)
# --density sets DPI for vector rendering (150 = crisp text)
npx sharp-cli -i input.svg -o output-folder/ --density 150 -f png

# Note: output must be a directory, filename preserved from input
npx sharp-cli -i banner.svg -o assets/ --density 150 -f png
# Creates: assets/banner.png

# ImageMagick (if installed)
magick input.svg -resize 512x512 output.png
magick input.png -quality 85 output.jpg

# Multiple sizes
foreach ($size in 16,32,64,128,256,512) {
  magick input.svg -resize ${size}x${size} "icon-$size.png"
}

SVG to PNG Tips

• Emojis don't convert well - Use text-only or SVG icons
• Use --density 150+ for crisp text rendering
• Check file size - README banners should be < 500KB

GitHub README Images

<!-- Absolute URL (always works) -->

![Banner](https://raw.githubusercontent.com/user/repo/main/assets/banner.svg)

<!-- Relative (works in repo) -->

![Banner](./assets/banner.png)

<!-- With dark/light variants -->
<picture>
  <source media="(prefers-color-scheme: dark)" srcset="banner-dark.svg">
  <img src="banner-light.svg" alt="Banner">
</picture>

Size Guidelines

Use Case	Max Size	Recommended
README banner	500KB	< 100KB
Documentation	200KB	< 50KB
Icons	50KB	< 10KB
Favicon	10KB	< 5KB

Optimization

# PNG optimization
pngquant --quality=65-80 input.png -o output.png

# JPEG optimization
jpegoptim --max=85 input.jpg

# SVG optimization
npx svgo input.svg -o output.svg

Visual Verification (VS Code 1.112+)

After generating or converting images, use view_image to verify output quality:

Check	What to Look For
SVG → PNG conversion	Crisp text, no missing elements
AI-generated images	Artifacts, spelling errors in text, character drift
Optimized images	No visible quality loss from compression
Face-reference generation	Likeness matches reference photos

For batch operations, use VS Code's image carousel to compare multiple outputs side-by-side.

---

Batch Processing

# Convert all PNGs in a folder (cross-platform)
for f in *.png; do magick "$f" -resize 256x256 "resized-$f"; done

# macOS -- sips (zero-install, ships with macOS)
sips -Z 256 *.png                          # Resize to max 256px
sips -s format jpeg input.png --out out.jpg # Convert PNG to JPEG
sips -g pixelHeight -g pixelWidth image.png # Read dimensions

macOS sips (Scriptable Image Processing System)

macOS ships sips -- zero install, always available. Use for quick resize, format conversion, and metadata reads.

Operation	Command	Notes
Resize (max dimension)	sips -Z 512 image.png	Preserves aspect ratio
Resize (exact)	sips -z 100 100 image.png	Stretches to fit
Convert format	sips -s format jpeg img.png --out img.jpg	png, jpeg, tiff, gif, bmp
Read dimensions	sips -g pixelHeight -g pixelWidth img.png	Useful in scripts
Rotate	sips -r 90 image.png	Degrees clockwise
Set DPI	sips -s dpiHeight 150 -s dpiWidth 150 img.png	For print

Limitations: No SVG rendering, no compositing, no layering, no text overlay. For those, use ImageMagick or Inkscape.

Replicate Model Selection

Match user intent to the right model. When a user names a specific model or describes a need, use this table.

Model	Replicate ID	Cost	Best For	Trigger Words
Flux Schnell	black-forest-labs/flux-schnell	$0.003	Fast iteration, prototyping	"flux schnell", "quick image", "fast generation"
Flux Dev	black-forest-labs/flux-dev	$0.025	High quality no-text images	"flux dev", "high quality image"
Flux 1.1 Pro	black-forest-labs/flux-1.1-pro	$0.04	Production, photorealistic	"flux pro", "flux 1.1", "production image"
Flux 2 Pro	black-forest-labs/flux-2-pro	~$0.05+	High quality with reference images (up to 8 refs), text rendering	"flux 2", "flux-2-pro", "high quality refs"
Flux 2 Max	black-forest-labs/flux-2-max	higher	Highest fidelity BFL output	"flux 2 max", "highest quality"
Flux Kontext Pro	black-forest-labs/flux-kontext-pro	$0.04	Text-based image editing, style transfer, outfit changes	"edit image", "kontext", "change background", "outfit"
Flux Kontext Max	black-forest-labs/flux-kontext-max	$0.08	Premium editing + improved typography in edited images	"kontext max", "premium edit"
Ideogram v2	ideogram-ai/ideogram-v2	$0.08	Banner typography (proven, stable API)	"ideogram v2", "banner with text"
Ideogram v3 Turbo	ideogram-ai/ideogram-v3-turbo	$0.03	Fast typography generation	"ideogram turbo", "fast text image", "ideogram v3"
Ideogram v3 Balanced	ideogram-ai/ideogram-v3-balanced	$0.06	Balanced quality/speed typography	"ideogram balanced"

Model Selection Guide

• "quick" / "test" / "prototype" → Flux Schnell ($0.003, 4 steps)
• "high quality" / "production" → Flux 1.1 Pro ($0.04) or Flux 2 Pro for multi-ref
• Text must appear in the image → Ideogram v3 Turbo ($0.03) or v3 Quality ($0.09); v2 still works
• Simple/fast text in image → Ideogram v3 Turbo ($0.03, fastest + cheapest)
• Edit an existing image → Flux Kontext Pro ($0.04, text-prompted editing)
• Premium image editing → Flux Kontext Max ($0.08, better typography in edits)
• Painting style / custom LoRA → SDXL or Flux Dev with LoRA weights
• Largest / highest resolution output → Seedream 5 Lite (up to 3K) or Nano-Banana Pro (up to 4K)
• README banner (default, SVG) → Recraft v4 SVG (recraft-ai/recraft-v4-svg, native SVG output, scalable); see ai-generated-readme-banners skill
• README banner (premium SVG) → Recraft v4 Pro SVG ($0.30, detailed vector paths)
• README banner (raster, with text) → Ideogram v3 Turbo 3:1 ratio ($0.03)
• README banner (raster, no text) → Flux 1.1 Pro with 21:9 ratio
• Face-consistent portraits (fast) → Nano-Banana 2 ($0.067/1K, image_input array, same API as Pro)
• Face-consistent portraits (quality) → Nano-Banana Pro ($0.025, image_input up to 14 refs)
• Multi-reference high quality → Flux 2 Pro (~$0.05+, input_images up to 8 refs) or Flux 2 Flex (up to 10 refs)
• Highest fidelity → Flux 2 Max
• Character consistency (single ref) → Ideogram Character
• Google flagship → Imagen 4 (standard), Imagen 4 Ultra (highest quality), Imagen 4 Fast (budget)
• Sub-second real-time → Flux 2 Klein 4B (distilled, 10M+ runs)
• Vector/SVG logo or graphic → Recraft v4 SVG (native SVG output) or Recraft v4 Pro SVG ($0.30)
• Art-directed design → Recraft v4 (strong composition, design taste)
• Short video clip (≤8s) → Veo-3.1-fast (faster/cheaper successor to Veo-3, auto audio)
• Longer video (≤15s) → Grok Video (, $0.05/sec, auto audio + lip-sync)

LoRA Support (Flux Dev / SDXL)

Both Flux Dev and SDXL accept LoRA weights:

// Replicate format
extra_lora: "fofr/flux-pixar-cars";
// HuggingFace format
extra_lora: "huggingface.co/owner/model-name";
// CivitAI format
extra_lora: "civitai.com/models/<id>";
// Direct URL
extra_lora: "https://example.com/weights.safetensors";

Aspect Ratio Reference

Ratio	Models	Use Case
21:9	Flux (all)	Ultra-wide README banner
3:1	Ideogram	Wide banner with typography
16:9	All	Standard widescreen
1:1	All	Square, avatar, icon
9:16	All	Mobile, portrait

Face Reference Models

For character/portrait consistency across multiple generations, use models that accept reference images:

Nano-Banana Pro (Recommended for Portraits)

const output = await replicate.run("google/nano-banana-pro", {
  input: {
    prompt: "Description of desired scene",
    image_input: referenceImageURIs, // Array of data URIs (up to 14)
    aspect_ratio: "3:4",
    output_format: "png",
  },
});

Key: image_input accepts an array of data URIs. More references = better face consistency.

Flux 2 Pro (Higher Quality Alternative)

const output = await replicate.run("black-forest-labs/flux-2-pro", {
  input: {
    prompt: "Description of desired scene",
    input_images: referenceImageURIs, // Array of data URIs (up to 8)
    aspect_ratio: "3:4",
    output_format: "png",
  },
});

Key: input_images (not image_input) — different parameter name from nano-banana.

Preparing Reference Photos

# Resize to 512px @ 85% quality for optimal API performance
magick input.jpg -resize 512x512 -quality 85 output.jpg

# Convert to base64 data URI (for embedding in visual memory)
[Convert]::ToBase64String([IO.File]::ReadAllBytes("photo.jpg")) | Set-Clipboard

Optimal reference specs: 512px longest edge, 85% JPEG quality, ~40-80KB per photo.

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Video Generation Models

Generate video from a still image or text prompt via Replicate. All video models support image-to-video workflows.

Model	Replicate ID	Cost	Duration	Audio	Best For
Veo-3	google/veo-3	$0.50/video	4, 6, or 8s only	✅ Auto	Short clips with synced audio
Veo-3.1-fast	google/veo-3.1-fast	lower	4-8s	✅ Context-aware audio	Newer/faster Veo 3, last-frame support
Veo-3.1	google/veo-3.1	higher	4-8s	✅ Context-aware audio	Highest fidelity successor to Veo 3
Grok Video	xai/grok-imagine-video	$0.05/sec	1-15s	✅ Auto (music, SFX, lip-sync)	Longer videos, best audio
Kling v3	kwaivgi/kling-v3-video	$0.22/sec	3-15s	✅ Native	Cinematic quality, 1080p, multi-shot
Kling v3 Omni	kwaivgi/kling-v3-omni-video	varies	3-15s	✅ Native	Multi-modal: text, ref image, editing
Sora-2	openai/sora-2	varies	flexible	✅ Synced	Home-video realism, flexible prompting
WAN 2.5 fast	wan-video/wan-2.5-t2v-fast	low	5-10s	❌	Open-source, fast, cost-effective

Duration Constraints

Model	Min	Max	Notes
Veo-3	4s	8s	Only accepts 4, 6, or 8 — other values rejected
Grok Video	1s	15s	Flexible, any integer
Kling v3	3s	15s	Modes: standard (720p), pro (1080p)

Video Generation Pattern

Typical workflow: generate a still image first, then animate it:

// Step 1: Generate still image
const image = await replicate.run("google/nano-banana-pro", {
  input: { prompt: "Person smiling at camera", image_input: refs },
});

// Step 2: Animate to video
const video = await replicate.run("google/veo-3", {
  input: {
    prompt: "Head turns slowly, smile widens, warm natural lighting",
    image: imageUrl,
    duration: 6,
  },
});

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Cloud TTS Models (Replicate)

For content creation (audiobooks, narration, voice cloning), Replicate offers paid cloud TTS models.

Model	Replicate ID	Cost	Voice Cloning	Languages	Best For
Speech 2.8 Turbo	minimax/speech-2.8-turbo	$0.06/1k tokens	❌	40+	Fast, expressive, many voices
Speech 2.8 HD	minimax/speech-2.8-hd	higher	❌	40+	Studio-grade high-fidelity audio
Chatterbox Turbo	resemble-ai/chatterbox-turbo	$0.025/1k chars	✅ (5s sample)	English	Voice cloning, natural pauses
Qwen TTS	qwen/qwen3-tts	$0.02/1k chars	✅	10	Voice design from description

Voice Presets

Speech Turbo: Wise_Woman, Deep_Voice_Man, Casual_Guy, Lively_Girl, Young_Knight, Abbess, + 6 more Chatterbox: Andy, Luna, Ember, Aurora, Cliff, Josh, William, Orion, Ken Qwen TTS: Aiden, Dylan, Eric, Serena, Vivian, + 4 more

Emotion Control (Speech Turbo)

Supported emotions: auto, happy, sad, angry, fearful, disgusted, surprised

Voice Cloning (Chatterbox / Qwen)

Provide a 5+ second audio sample to clone a voice:

const output = await replicate.run("resemble-ai/chatterbox-turbo", {
  input: {
    text: "Content to speak in the cloned voice",
    audio_prompt: referenceAudioDataURI, // 5+ seconds WAV/MP3
  },
});

Voice Design (Qwen TTS)

Create a voice from a natural language description:

const output = await replicate.run("qwen/qwen3-tts", {
  input: {
    text: "Content to speak",
    tts_mode: "voice_design",
    voice_description:
      "A warm, friendly female voice with a slight British accent",
  },
});

When to Use Each TTS Model

Scenario	Recommended	Why
Create audiobook narration	Speech 2.8 HD	Studio-grade quality
Fast narration, many languages	Speech 2.8 Turbo	40+ languages, emotion control
Clone a specific voice	Chatterbox Turbo	5s sample, English
Design a voice from description	Qwen TTS	Natural language voice spec
Generate voice for video	Speech 2.8 Turbo	Emotion control, syncs with video

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