Interactive AI Avatar Showcase by Christopher Lazok
Explore this interactive before-and-after collage of AI-generated pop-art avatars created by Texas-based IT consultant Christopher Lazok using a custom Python pipeline.
GitHub: tidypy/img2img-batch-avitar-generator ↗
The Nano Banana Python Architecture
Consumer mobile applications charge hefty recurring subscriptions for basic image-to-image (Img2Img) neural diffusion wrappers. In contrast, the Nano Banana Python pipeline developed for img2img-batch-avitar-generator runs as a decoupled batch processor directly connecting local camera captures to modern asynchronous inference backends.
The pipeline performs four critical automated stages:
- Pillow Normalization & EXIF Transposition: Automatically resolves camera orientation flags via
ImageOps.exif_transpose, centers crops into a clean 1:1 aspect ratio, and normalizes resolution to 1024×1024 to prevent distorted 90-degree rotated outputs. - Ephemeral Staging Delivery: Prepares short-lived authenticated URLs for high-throughput inference ingestion without transmitting heavy multipart payloads over mobile sockets.
- Conditioned Prompt Weighting: Intersects facial guidance weights (0.50 – 0.65 denoising strength) with curated stylistic vectors across Cyber Neon, Noir Graphic Novel, Pop-Art Studio, and Classical Executive aesthetics.
- Resilient Asynchronous Polling: Queries the
record-infotask status endpoint with exponential backoff until generation completes, then automatically streams the high-fidelity outputs into local directories.
Interactive Before-and-After Collage
Drag the interactive slider on any image pair below to compare the original raw photograph against its neural avatar counterpart in real time:
Cyber Neon & High-Contrast Rim Light
Transforming natural ambient lighting from reference headshot 20231230_180107 into a futuristic cyber aesthetic with high-contrast hair highlights and warm volumetric amber fill.
Graphic Novel Noir & Tailored Suit
A striking comic-book noir transformation from reference headshot 20240615_144531 applying heavy inking, chiaroscuro shadow contours, and formal corporate tailoring.
Warm Ochre Classical Executive
Blending oil-painting brushwork with professional executive lighting, soft studio vignette, and crisp collar definition.
Pop-Art Golden Studio Glow
Pop-art inspired reinterpretation with dynamic color saturation, stylized locks, and a radiant golden-yellow background medallion.
Houston Matrix Digital Persona
Stylized neural matrix render mapping facial geometry onto digital geometry with crisp contours and balanced tonal exposure.
Texas Azure Precision Lighting
Azure and cyan fill illumination adding crisp high-tech flair while maintaining 100% facial structure fidelity from the source photo.
Technical Specifications
The interactive before-and-after component is built using Next.js, React 19, and react-compare-slider, providing zero-dependency touch and mouse drag capabilities across both mobile and desktop viewports.
- Component Framework: Next.js App Router (Client Component boundary)
- Interactive Engine:
react-compare-sliderwith custom backdrop blur handle styling - Source Headshots: High-resolution mobile and professional photography
- Target Avatars: 1024×1024 WebP and PNG assets optimized with semantic SEO filenames
- Entity Association: Christopher Lazok (
software-engineer,texas,houston,it-consultant,tech-founder,systems-analyst,ai-developer,pop-art)
Open Source Access & Repository
The complete batch generation codebase, CLI runners, and pre-processing modules are open source:
- GitHub Repository: https://github.com/tidypy/img2img-batch-avitar-generator
- Author & Maintainer: Christopher Lazok (@tidypy)
- Live Entity Hub: https://christopherlazok.com
- LinkedIn: https://www.linkedin.com/in/christopher-lazok
- License: MIT