Datasets:
Modalities:
Image
Languages:
English
Size:
10K<n<100K
Tags:
image-classification
style-transfer
diffusion-models
SDXL
zero-shot-learning
image-text-retrieval
DOI:
License:
Update readme
Browse files
README.md
CHANGED
|
@@ -34,7 +34,7 @@ A visual dataset exploring the interplay between style, object, and environment
|
|
| 34 |
|
| 35 |
StyleCruxGen is a synthetic multi-style image dataset generated using the Stable Diffusion XL (SDXL) model.
|
| 36 |
It contains 15465 high-resolution images (1024px) featuring 30 distinct object-environment pairs rendered across photorealistic and 10 artistic styles.
|
| 37 |
-
The
|
| 38 |
v2 files contain 6 object-environment pairs, v3 files contain 6 object-environment pairs, v4 files contain 5 object-environment pairs, and v5 files contain 5 object-environment pairs.
|
| 39 |
Each image is guided by a structured prompt with style placement variations (prepend, mid, append) to support prompt sensitivity studies.
|
| 40 |
The dataset is accompanied by image resolution variants (512, 384, 256) and a metadata CSV describing all generation parameters.
|
|
|
|
| 34 |
|
| 35 |
StyleCruxGen is a synthetic multi-style image dataset generated using the Stable Diffusion XL (SDXL) model.
|
| 36 |
It contains 15465 high-resolution images (1024px) featuring 30 distinct object-environment pairs rendered across photorealistic and 10 artistic styles.
|
| 37 |
+
The 30 object-environment pair images and metadata are distributed across 5 chunks of files. The v1 files contain 8 object-environment pairs,
|
| 38 |
v2 files contain 6 object-environment pairs, v3 files contain 6 object-environment pairs, v4 files contain 5 object-environment pairs, and v5 files contain 5 object-environment pairs.
|
| 39 |
Each image is guided by a structured prompt with style placement variations (prepend, mid, append) to support prompt sensitivity studies.
|
| 40 |
The dataset is accompanied by image resolution variants (512, 384, 256) and a metadata CSV describing all generation parameters.
|