For employers and studios
Workflow design, debugging, automation, repeatable pipelines, and technical production support for AI image/video systems.
I build practical ComfyUI systems: Wan image-to-video workflows, batch queues, custom nodes, resolution safety tools, local Linux/NVIDIA automation, and private visual-content pipelines.
Workflow design, debugging, automation, repeatable pipelines, and technical production support for AI image/video systems.
Private image/video content workflows and controlled visual experiments. Adult-oriented work can be separated to an external Civitai profile.
Replace these placeholders with screenshots, short clips, and before/after examples as they are ready.
High/low Wan sampler workflow, VAE decode, video export, batch image loading, and resolution-aware preparation.
Controlled tests around source resolution, prep resolution, CFG, frame count, prompt design, and face consistency.
Folder-driven queue systems for repeated image-to-video jobs with index tracking, loop control, and reproducible logs.
Tools built to solve real local-production problems: OOM prevention, batch control, process recovery, and asset preparation.
Frame-aware resolution preparation for WanFirstLastFrameToVideo, with sequence-length safety, custom resolution, and auto-orientation.
Folder-based image queue for repeatable batch jobs, index tracking, loop control, and source-file logging.
Timeline planning and segment preparation for multi-image video experiments and future controlled transitions.
Python/GIMP production utility for old-photo condition analysis, restoration preprocessing, JSON reports, contact sheets, and exact longest-side normalization.
Local Linux utility for finding and terminating stuck VLC, ComfyUI, Python, GIMP, FFmpeg, and related production processes.
Local launcher for multiple ComfyUI installs, shared venv, logging modes, and performance/VRAM-safe launch profiles.
A local Python/GIMP tool for batch old-photo restoration preparation. It analyzes each image, records technical condition, applies selected preprocessing, creates a contact sheet, writes a structured report, and can normalize output size for later AI workflows.
Source code is not published. Screenshots, before/after examples, and report samples will be added here.
Built for employers, small teams, creators, and clients who need practical AI video systems or custom visual production.
clnodk is a practical AI workflow builder focused on local production systems, not one-click demos. The work combines testing discipline, tool design, automation, and visual experimentation.
The current focus is ComfyUI, Wan 2.2, custom Python tools, batch image/video generation, and local Linux/NVIDIA workflows that can be inspected, repeated, and improved.
I am building a portfolio of practical AI video work, custom nodes, scripts, and private visual content. Add direct contact links here: email, LinkedIn, GitHub, Civitai, or booking form.