PUEDES SACAR ESTA IMAGEN EN PNG 8K MAXIMA DEFINIC...

python
from PIL import Image, ImageFilter, ImageOps
img_path="/mnt/data/CapturaQQQQQQQQQQQQQQQQQQQQQ.PNG"
img=Image.open(img_path)
img.mode, img.size, img.format


('RGBA', (1519, 1288), 'PNG')

python
from PIL import Image, ImageFilter
target_long=7680
w,h=img.size
scale=target_long/max(w,h)
new_size=(int(round(w*scale)), int(round(h*scale)))
new_size


(7680, 6512)

python
resized=img.resize(new_size, Image.LANCZOS)
# apply gentle sharpening
sharpened=resized.filter(ImageFilter.UnsharpMask(radius=2, percent=130, threshold=3))
out_path="/mnt/data/imagen_8k.png"
sharpened.save(out_path, format="PNG", optimize=True)
import os, math
os.path.getsize(out_path), out_path

python
import numpy as np, os, PIL
img=Image.open(img_path)
# check alpha usage quickly by sampling
alpha = np.array(img.getchannel('A'))
alpha.min(), alpha.max(), (alpha<255).mean()


(255, 255, 0.0)

python
from PIL import Image, ImageFilter
img=Image.open(img_path).convert("RGB")
w,h=img.size
target_long=7680
scale=target_long/max(w,h)
new_size=(int(round(w*scale)), int(round(h*scale)))
resized=img.resize(new_size, Image.LANCZOS)
sharpened=resized.filter(ImageFilter.UnsharpMask(radius=2, percent=120, threshold=3))
out_path="/mnt/data/imagen_8k.png"
sharpened.save(out_path, format="PNG", optimize=False, compress_level=3)
os.path.getsize(out_path)


20805831

python
Image.open(out_path).size


(7680, 6512)