How to implement alpha_composite for 5 layers (more than 3 layers)? about nft-image-generator

[Fusion4233919]

just composite them as the order you like

remember: the right one is the upper one

[0xharkirat]

@Fusion4233919 Thanks a lot, let me try.

[0xharkirat]

@Fusion4233919 Yayy!!!!, It worked. Thanks a lot

[jankyvision]

Hi @benyaminahmed, having a similar issue and wondering if you could help me out. Trying alpha.composite 4 images using this code

#### Generate Images    
for item in all_images:

    im1 = Image.open(f'./trait-layers/backgrounds/{background_files[item["Background"]]}.jpg').convert('RGBA')
    im2 = Image.open(f'./trait-layers/elephants/{elephant_files[item["Elephant"]]}.png').convert('RGBA')
    im3 = Image.open(f'./trait-layers/hats/{hat_files[item["Hat"]]}.png').convert('RGBA')
    im4 = Image.open(f'./trait-layers/smoke/{smoke_files[item["Smoke"]]}.png').convert('RGBA')

 #Create each composite
    com1 = Image.alpha_composite(im1, im2)
    com2 = Image.alpha_composite(im3, im4)
    res = Image.alpha_composite(com1, com2)

    #Convert to RGB

    rgb_im = res.convert('RGB')
    file_name = str(item["tokenId"]) + ".png"
    rgb_im.save("./images/" + file_name)

And getting this error:

ValueError: images do not match
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/var/folders/lq/nw0y9p2s6dnglsnqyls1d4qc0000gn/T/ipykernel_8510/2369437489.py in <module>
     10     com1 = Image.alpha_composite(im1, im2)
     11     com2 = Image.alpha_composite(im3, im4)
---> 12     res = Image.alpha_composite(com1, com2)
     13 
     14     #Convert to RGB

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/PIL/Image.py in alpha_composite(im1, im2)
   3042     im1.load()
   3043     im2.load()
-> 3044     return im1._new(core.alpha_composite(im1.im, im2.im))
   3045 
   3046 

ValueError: images do not match

[jankyvision]

Solved 2 images were not the same size 🙃