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FreeStyle Bench
This repository contains benchmark inputs for evaluating FreeStyle reference-based image editing.
It includes two benchmark subsets:
sref_bench/: a style-transfer benchmark.cref_sref_bench/: a content-and-style dual-reference benchmark.
Both subsets use the same basic layout: a content-reference folder, a style-reference folder, and a prompts.json file that links each pair to its text prompt.
Repository Layout
<repo-root>/
README.md
sref_bench/
cref/
... content reference images ...
sref/
... style reference images ...
prompts.json
cref_sref_bench/
cref/
... content reference images ...
sref/
... style reference images ...
prompts.json
sref_bench
sref_bench is the style-transfer benchmark.
For each benchmark pair:
sref_bench/cref/contains the content reference image.sref_bench/sref/contains the style reference image.sref_bench/prompts.jsoncontains the text prompt or instruction for the pair.
The keys in prompts.json are pair basenames. A key can be used to match the corresponding content and style reference images across the two folders.
For example, if prompts.json contains a key:
example_pair
then the corresponding files should be found by matching the same basename under:
sref_bench/cref/example_pair.*
sref_bench/sref/example_pair.*
where the image extension may depend on the actual uploaded files.
cref_sref_bench
cref_sref_bench is the content-and-style dual-reference benchmark.
It has the same structure as sref_bench:
cref_sref_bench/cref/contains the content reference image.cref_sref_bench/sref/contains the style reference image.cref_sref_bench/prompts.jsoncontains the text prompt or instruction for the pair.
Again, each key in prompts.json is a pair basename and can be used to align the content reference image in cref/ with the style reference image in sref/.
How To Read A Pair
import json
from pathlib import Path
from PIL import Image
bench_dir = Path("/path/to/FreeStyle_Bench/sref_bench") # or cref_sref_bench
with open(bench_dir / "prompts.json", "r", encoding="utf-8") as f:
prompts = json.load(f)
pair_name, prompt = next(iter(prompts.items()))
# Find images by matching the pair basename. The actual extension may vary.
cref_path = next((bench_dir / "cref").glob(pair_name + ".*"))
sref_path = next((bench_dir / "sref").glob(pair_name + ".*"))
content_ref = Image.open(cref_path).convert("RGB")
style_ref = Image.open(sref_path).convert("RGB")
print("pair:", pair_name)
print("prompt:", prompt)
print("content reference:", cref_path)
print("style reference:", sref_path)
Notes
crefmeans content reference.srefmeans style reference.prompts.jsonis the index file for each subset.- The key of each
prompts.jsonentry is the pair basename used to match images incref/andsref/. - Use
sref_benchfor style-transfer evaluation. - Use
cref_sref_benchfor dual-reference content-and-style evaluation.
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