FLUX.2 [dev] Edit Trainer V2
Fine-tune FLUX.2 [dev] with LoRA to teach it your custom image-to-image editing behavior. Train once on before/after pairs, then apply consistent, specialized edits forever — no full model retraining needed.
A small LoRA (a few MB) captures exactly how you want images transformed, giving you precise control that generic models or prompting alone can’t achieve.
Perfect for:
- Brand-consistent edits: Teach adjustments that maintain visual brand guidelines across transformations
- Product-specific processing: Specialized understanding of how to modify particular product categories or materials
- Style transfers: Custom style transfers that generic models struggle with
- Technical/domain-specific corrections: Industry-specific editing patterns for specialized domains
- Automated editing pipelines: Consistent editing behaviors that match your team's established patterns
- Anything you can show with examples!
What you need
- 15–50 high-quality before/after pairs (more = better specialization)
- Resolution: ≥ 1024×1024 (higher is better)
- Clear, consistent transformation between start → end
- Clean images, no compression artifacts
File naming (strict!)
XXX_start.png/jpg → original image (unedited)
XXX_start2.png/jpg → optional extra reference (up to 4 total)
XXX_start3.png/jpg
XXX_start4.png/jpg
XXX_end.png/jpg → desired edited result
XXX.txt → optional instruction prompt
Example structure with a single reference image:
editing_dataset.zip
├── 001_start.jpg
├── 001_end.jpg
├── 001.txt # e.g. "apply brand color grading and remove background"
├── 002_start.png
├── 002_end.png
├── 002.txt
└── ...
Example structure with 3 reference images:
editing_dataset.zip
├── 001_start.jpg
├── 001_start2.jpg
├── 001_start3.jpg
├── 001_end.jpg
├── 001.txt # e.g. "apply brand color grading and remove background"
├── 002_start.png
├── 002_start2.png
├── 002_start3.png
├── 002_end.png
├── 002.txt
└── ...
.txt files are optional but strongly recommended for best results.
If you prefer one caption for everything, just set a Default Caption instead.
That’s it — zip the folder, upload, train a LoRA and get unlimited custom editing intelligence tailored to your exact needs.
fal-ai/flux-2-trainer-v2/edit