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Minecraft Skins 1.1M Deduped (64x64 Edition) 1.5!
Minecraft Skins 1.1M Deduped but troll skins were filtered (more this time).
Format is a 2.5 GB ZIP archive containing 64x64 PNG skin files.
Tools used
PIL Image (Python) and Google Colab (free CPU tier)
How it was made
- Loaded Minecraft Skins 1.1M Deduped,
- Troll (like single-color) skins were filtered (std > 10 were kept) and removed.
- Result is 1100250 real 64x64 skins.
- Output is given in a 2.5 GB ZIP archive.
This can be used to make your own skin generation model (but I'm going with VQ-VAE anyway!)
Future improvements for version 2
- Captioning (with Florence 2 Base)
Filtering troll skins (skins that are formed of just a single color)already done!
Code
Code to reproduce it (all by Claude 4.6 Sonnet):
Same code as before, then:
import os
import numpy as np
from PIL import Image
from tqdm import tqdm
from multiprocessing import Pool, cpu_count
import shutil
SKIN_DIR = "/content/filtered_skins"
OUTPUT_DIR = "/content/filtered_skins_pro"
STD_THRESHOLD = 10
os.makedirs(OUTPUT_DIR, exist_ok=True)
skin_files = [f for f in os.listdir(SKIN_DIR) if f.endswith(".png")]
def process_skin(filename):
path = os.path.join(SKIN_DIR, filename)
try:
img = Image.open(path).convert("RGB")
std = np.array(img).std()
if std >= STD_THRESHOLD:
shutil.copy2(path, os.path.join(OUTPUT_DIR, filename))
return "kept"
return "filtered"
except Exception:
return "error"
print(f"CPUs available: {cpu_count()}")
with Pool(processes=cpu_count()) as pool:
results = list(tqdm(
pool.imap(process_skin, skin_files, chunksize=100),
total=len(skin_files)
))
kept = results.count("kept")
filtered = results.count("filtered")
errors = results.count("error")
print(f"\nKept : {kept:,}")
print(f"Filtered : {filtered:,}")
print(f"Errors : {errors:,}")
then:
import os
import zipfile
from tqdm import tqdm
INPUT_DIR = "/content/filtered_skins_pro"
ZIP_PATH = "/content/minecraft_skins_64x64_v1_5.zip"
skin_files = [f for f in os.listdir(INPUT_DIR) if f.endswith(".png")]
print(f"Skins to zip: {len(skin_files):,}")
with zipfile.ZipFile(ZIP_PATH, "w", zipfile.ZIP_DEFLATED, compresslevel=1) as zf:
for filename in tqdm(skin_files):
zf.write(os.path.join(INPUT_DIR, filename), arcname=filename)
size_mb = os.path.getsize(ZIP_PATH) / 1024 / 1024
print(f"\nDone!")
print(f"Skins zipped : {len(skin_files):,}")
print(f"ZIP size : {size_mb:.1f} MB")
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