Custom AI Models That Actually Perform

I design and train high‑quality AI models for creators, brands, and studios who want results — not experiments.

If you care about realism, consistency, and monetization, you’re in the right place.

What I Do

Most AI models look good once. Mine are built to work every time.

I specialize in:

  • High‑fidelity custom LoRAs
  • Consistent character models
  • Monetization‑ready AI assets
  • Private, client‑only training workflows

This isn’t mass‑produced. Every model is trained, tested, and refined manually.

Who This Is For

Creators & Personal Brands

You want a model that looks like you (or your character) and stays consistent across content.

Monetized AI Creators

You’re selling content and need reliable output, clean results, and a model you can depend on at scale.

Studios & Agencies

You need professionally built models for larger projects, internal use, or licensed deployments.

Package 1: Custom LoRA

A clean, realistic custom LoRA built from your images. I handle dataset preparation, training, and initial refinement, then deliver a ready-to-use model with test outputs included.

Delivery includes a reference workflow and example settings used during testing, allowing you to reproduce the same level of quality and results with the model.

This package is designed to get you live with a reliable foundation and does not include deeper optimisation or performance refinement, which can be handled separately if needed.

Package 2: Performance & Refinement

Post-delivery refinement focused on improving consistency, reliability, and overall output quality based on real-world use.

This package addresses issues that become apparent once the model is in use, such as weak angles, edge cases, or prompt sensitivity. Refinement may include targeted model adjustments, prompt and setting optimisation, and workflow tweaks where needed to improve results.

Work is handled reactively once a base model is complete and is intended to enhance performance rather than rebuild the model from scratch.

How It Works

1. Apply

Submit a short application outlining what you’re looking to build and how you plan to use the model.


2. Review

I review your use case to confirm scope, fit, and timeline before moving forward.


3. Build & Delivery

Your model is trained, tested, and refined, then delivered with example outputs and usage guidance.


4. Refinement (Optional)

Once the model is live, performance or consistency refinements can be handled separately if needed.

Apply for a Custom Build

FAQ

Frequently Asked Questions

What’s included in the base custom build?

The base build covers dataset preparation, training, and initial refinement, followed by delivery of a ready-to-use model with example outputs and basic usage guidance.








How long does a custom build take?

Turnaround depends on scope and queue, but most base builds are completed within a reasonable timeframe once everything is confirmed. Timelines are discussed after review.






Can I use my custom LoRA on Fanvue?

Yes. Custom builds are suitable for Fanvue use. Deeper optimisation or performance refinement can be handled separately once the model is live.





Do you include a workflow?

Yes. Each custom build includes the reference workflow and settings used during testing, intended to help you achieve similar results with the model.






Do you offer revisions or updates?

One revision is included with the base build. Additional refinement or performance work is optional and handled separately after delivery.






Community


Join updates, general discussion, and occasional workflow insights on Discord.

Custom projects and pricing are handled via application only.

Join the Discord