Why Generic AI Tools Fail Here
The Stochastic Drift Bottleneck
Automated one-click LoRA trainers bake lighting artifacts into the weights, fry skin textures, or fail when combined with ControlNet poses.
04 · Model Fine-Tuning
Custom LoRA Model Training & Dataset Engineering
Rank-stabilized bf16 LoRA weights that lock your exact brand DNA.
Executive Overview
Insiyak trains production bf16 Flux and SDXL LoRA checkpoints on 20–80 curated, structured-caption master images, delivering epoch-validated .safetensors weights that lock product geometry, character faces, or proprietary illustration styles without overfitting.
Insiyak Deterministic Architecture
Locked Pipeline Engineering
We manually curate dataset angles, strip background bias, write structured trigger-token captions, sweep learning-rate schedules, and score multi-epoch validation grids.
4-Stage Production Workflow
How we take your assets from raw seed to 4K delivery.
01 · Dataset Curation & Cleaning
Select 20–80 balanced angles, crop, upscale, and remove bias.
02 · Trigger & Caption Engineering
Tag variable traits separately so the trigger locks pure identity.
03 · Rank & Schedule Sweep
Train bf16 Rank 16–64 checkpoints with Prodigy / AdamW8bit.
04 · Multi-Prompt Stress Matrix
Benchmark epochs across 12 lighting, pose, and lens scenarios.
Production Stack
Concrete Handoff Deliverables
- Production .safetensors checkpoint(s)
- Curated & captioned training dataset archive
- Epoch comparison sheet & recommended strength table
- Reference ComfyUI inference graph
Archive Proof
Real portfolio deliverables from this pipeline.
Flux + PuLID Identity-Locked Style Transfer Graph
Sub-6-second single-image personalization ready for serverless consumer web apps.
Technical FAQ
Frequently asked engineering & rights questions.
How many reference images do you need to train a clean LoRA?
15–25 high-resolution multi-angle photos for a product or character; 35–80 curated pieces for a broad brand illustration style.
Can multiple LoRAs be stacked together in one scene?
Yes—we calibrate rank norms and regional attention masks so a Character LoRA, Garment LoRA, and Style LoRA compose cleanly.
Is our training data kept confidential?
Strictly private. Training runs on isolated dedicated GPUs and raw datasets are purged upon handover if requested under NDA.
Benchmark Your Own Assets in 72 Hours