| language |
|
||||
|---|---|---|---|---|---|
| tags |
|
||||
| library_name | diffusers | ||||
| pipeline_tag | text-to-image | ||||
| license | mit |
This repository contains the reproducible training workflow used to run a personal SDXL LoRA pipeline on free Kaggle GPU, including checkpoint continuation, checkpoint evaluation, and LinkedIn-style gallery generation.
No personal training images, captions, generated portraits, or model checkpoints are included.
- Kaggle training script (
07_kaggle/train_flux_lora.py) - Config/run automation scripts (
03_configs/*) - Evaluation script templates (
08_kaggle_eval/*) - Runbook and process notes
- Raw/curated personal photos
- Captions tied to personal data
- Checkpoints and model weights
- Generated output galleries
- API tokens and credentials
If you publish similar work, keep biometric data and personal LoRA weights private unless you explicitly want public distribution.