Pacific Wharf
Technical creative workshop
Local AI systems / workflow engineering / technical websites
Pacific Wharf helps creators and technical teams build reliable local AI workflows, improve LoRA training and ComfyUI pipelines, debug unstable systems, and ship web surfaces that explain the work clearly.
Tech Blog
Technical notes from Pacific Wharf covering local AI systems, workflow engineering, hardware limits, training runs, and the kind of implementation details that only show up once the work is actually running.
If you download local AI models for long enough, you start seeing filenames that look like somebody mixed a model name with a firmware revision number.
Read quantization noteA first full local SDXL LoRA run, including setup, runtime, checkpoint behavior, and what changed once the pipeline stopped feeling mystical.
Read training noteA local LLM on an RTX 2060 worked just well enough to reveal the real constraint: not model loading, but the way VRAM budgets collapse under actual workloads.
Read hardware noteA 6GB RTX 2060 was enough to prove that useful local AI workloads were already possible on normal consumer hardware.
Read local LLM noteWorkflow focus
That includes helping you set up local AI, LoRA training, ComfyUI pipeline design, workflow debugging, benchmarking, and infrastructure decisions. The goal is better output, fewer wasted iterations, and systems other creators can actually rely on.
What Pacific Wharf does
Working model
How Pacific Wharf helps
Build and refine local generation pipelines for speed, consistency, maintainability, and better output.
Improve LoRA training runs, troubleshoot weak results, and fix broken ComfyUI or video workflows.
Set up practical local AI environments, benchmark hardware paths, and turn R&D into usable systems.
About
Pacific Wharf is a technical field notebook and proof-of-work surface focused on local AI systems, workflow engineering, LoRA training, cinematic experimentation, and generation pipeline development.
The work published here exists to document real-world experimentation, benchmark repeatable workflows, and support technical services around training, debugging, infrastructure, and creative pipeline engineering.
Web builds
If the work is strong but the public-facing site is weak, generic, or hard to update, Pacific Wharf can build the site as well. The goal is a web presence that explains the work clearly, earns trust quickly, and stays simple to operate.
What gets built
That includes branding-led homepages, project archives, service pages, lightweight documentation surfaces, and GitHub Pages-friendly builds that do not drag in unnecessary backend complexity.
Why it works
Contact
Pacific Wharf helps creators and technical teams build local AI systems, improve training workflows, fix unstable pipelines, and ship fast, credible web surfaces without unnecessary complexity.
Publishing channels
