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FLUX.2 Klein Schematic LoRA Dataset
This is the training dataset used for the FLUX.2 Klein Schematic LoRA project.
The LoRA repository is available here:
For details about the experiment and dataset construction, see the blog post:
Structure
data/
depth_relative/
input/
target/
caption/
surface_normal/
input/
target/
caption/
pose_body/
input/
target/
caption/
pose_full/
input/
target/
caption/
segmentation_binary/
input/
target/
caption/
segmentation_amodal/
input/
target/
caption/
metadata/
manifest.jsonl
summary.json
Each row is an image-editing pair:
input/: source imagetarget/: RGB schematic target imagecaption/: instruction prompt used for training
Counts
| Task | Positive | Negative | Total |
|---|---|---|---|
depth_relative |
300 | 0 | 300 |
surface_normal |
300 | 0 | 300 |
pose_body |
300 | 30 | 330 |
pose_full |
300 | 30 | 330 |
segmentation_binary |
300 | 30 | 330 |
segmentation_amodal |
300 | 30 | 330 |
Total: 1920 image pairs.
Notes
- This dataset was prepared for LoRA training on
black-forest-labs/FLUX.2-klein-base-9B. - Some pose and segmentation tasks include all-black negative targets.
- The dataset is small and experimental.
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