photo to editorial illustration

Processing source photographs into high-end editorial layouts is often a messy manual process involving inconsistent image generation and fragile manual compositing. This skill automates the transformation of a single photo into a professional mid-century European couture composition, pairing your original image with a stylistically abstracted illustration.

What it does

• Preflights sources by normalizing HEIC, MPO, and standard formats into a unified RGB pipeline.
• Distills content using a structured abstraction grammar to identify humans, architecture, and environments for simplification.
• Generates illustrations that follow strict face-policy guidelines and mid-century aesthetic constraints without clipping.
• Evaluates quality against internal guardrails to ensure the generated output meets editorial standards before finalization.
• Composes editorial boards by programmatically layouting the source, illustration, and poetic typography into a final canvas.

How it works

1. Source Preflight: Provide a photo of a person, animal, or landscape; the skill normalizes the file and prepares a work directory.
2. Abstraction: The skill analyzes the source to determine which elements to retain, drop, or simplify based on geometric rules.
3. Generation & Audit: It triggers a controlled image-to-image generation and checks the result against style-consistency guardrails.
4. Final Composition: The skill generates two lines of poetic English copy and runs a compositor script to create the side-by-side editorial layout.

Frameworks & tools

Python-based processing using pillow-heif for image normalization and a custom compose_editorial.py script for final layout assembly.

Why this beats prompting it yourself

Generic prompts often result in illustrations that hallucinate details or fail to maintain the layout required for print-style compositions. This skill uses a deterministic composition engine and specific abstraction grammars to ensure the final layout is perfectly aligned and stylistically cohesive every time.

Use cases

• Creating high-end digital lookbooks for fashion or architecture projects.
• Generating stylized "memory boards" from travel photography.
• Producing editorial-grade social media content with consistent mid-century aesthetics.
• Automating the creation of postcard-style digital assets for brand storytelling.

Known limitations

Does not support animated formats, files over 50 MiB, or images exceeding 100 MP. High-resolution processing requires local Python environment setup for HEIC files.