{"id":598,"date":"2026-10-21T22:46:37","date_gmt":"2026-10-21T14:46:37","guid":{"rendered":"http:\/\/www.granjajimenez.com\/blog\/?p=598"},"modified":"2026-10-21T22:46:37","modified_gmt":"2026-10-21T14:46:37","slug":"how-to-use-pillow-to-perform-image-color-palette-blending-457c-d7725f","status":"publish","type":"post","link":"http:\/\/www.granjajimenez.com\/blog\/2026\/10\/21\/how-to-use-pillow-to-perform-image-color-palette-blending-457c-d7725f\/","title":{"rendered":"How to use Pillow to perform image color palette blending?"},"content":{"rendered":"

Hey there, fellow image folks \u2013 I\u2019m stoked to break down how you can level up your image color palette blending with Pillow, and yeah, I\u2019m the Pillow supplier you\u2019ve probably been hearing about (no weird corporate jargon, promise). If you\u2019ve ever stared at a half-finished design, a product photo that looks washed out, or a social media graphic that\u2019s missing that cohesive pop, this post is for you. I\u2019ve used Pillow for everything from adjusting e-commerce product shots to blending color palettes for custom wall art projects, and I\u2019m gonna walk you through exactly how to do it \u2013 plus throw in some real-world tips that I only picked up after messing up way too many test runs. Pillow<\/a><\/p>\n

<\/p>\n

First off, let\u2019s keep this real: I know a lot of you might think \u201cPillow is just for resizing images, right?\u201d Nah, we\u2019re blowing that myth out the water today. Pillow is this super powerful open-source image library for Python, and since I supply high-quality Pillow libraries to devs, designers, and small business owners, I\u2019ve seen first-hand how underrated its blending tools are. Color palette blending is basically when you merge two color palettes (or even adjust one to match another) to make images look unified, balanced, or just plain more eye-catching. Think: matching a product photo\u2019s palette to your brand\u2019s colors, blending old and new photo palettes for a retro-modern edit, or fixing a shot where the lighting threw all the colors off.<\/p>\n

Let\u2019s start with the basics you\u2019ll need to actually get this done. First, you gotta have Pillow installed \u2013 and if you\u2019re picking up a licensed version from my supply, I\u2019ll send over the exact setup steps that skip the wonky open-source installs. For anyone using open-source, it\u2019s pip install pillow<\/code> \u2013 easy peasy. Next, you\u2019ll need a couple images to work with, or at least a base image and a color palette you wanna blend into it. Pro tip from my team: use images with similar resolution to avoid messy scaling, or make sure to resize them first so they line up when blending.<\/p>\n

Now, let\u2019s dive into the actual methods. The first go-to for most people is using Pillow\u2019s Image.blend()<\/code> function \u2013 it\u2019s super straightforward, perfect for beginners. Here\u2019s how it works: the function takes three things: two images of the same size and mode, plus a blend factor (that\u2019s a number between 0 and 1). 0 means 100% the first image, 1 means 100% the second, and 0.5 is a 50\/50 split. Let\u2019s say I have a photo of a coffee shop (image1.jpg) that has warm, brown tones, and a brand palette for my cafe that\u2019s soft cream and forest green (image2.jpg, a solid-colored banner). I wanna blend them so the photo gets a subtle brand tint without looking weird. Here\u2019s the code snippet I actually use:<\/p>\n

from PIL import Image<\/p>\n

Load my two images \u2013 note: they gotta be same mode (RGB, not RGBA if I don’t want transparency issues)<\/h1>\n

img1 = Image.open("coffee_shop_photo.jpg").convert("RGB")
\nimg2 = Image.open("cafe_brand_banner.jpg").convert("RGB")<\/p>\n

Make sure they’re same size \u2013 if not, resize img2 to match img1<\/h1>\n

img2 = img2.resize(img1.size)<\/p>\n

Blend with factor 0.2 \u2013 subtle brand tint, not overwhelming<\/h1>\n

blended_img = Image.blend(img1, img2, 0.2)<\/p>\n

Save it, and boom \u2013 ready to use!<\/h1>\n

blended_img.save("coffee_shop_blended.jpg")<\/p>\n

Wait, why 0.2? I learned the hard way that a higher factor (like 0.5) makes the photo look muddy and washed out. For product shots, I usually stick between 0.1 and 0.3 so the palette blend is noticeable but doesn\u2019t hide the actual product details. That\u2019s the kind of hands-on tip you don\u2019t get from generic tutorials, which is why a lot of my regulars come back to me for insider Pillow hacks.<\/p>\n

But what if you don\u2019t have a solid color palette image? What if you wanna pull a custom palette from an existing image and blend it into another? That\u2019s where Pillow\u2019s ImagePalette<\/code> module comes in \u2013 and this is where my supply\u2019s updated Pillow versions (we tweak it for common design use cases) make this way faster than the open-source version. Let\u2019s walk through that. First, you need to extract a palette from a sample image \u2013 say, I wanna pull the sunset pink and orange palette from a beach photo and blend it into a product photo of a tote bag. Here\u2019s how that code goes:<\/p>\n

from PIL import Image, ImagePalette<\/p>\n

Step 1: Extract palette from the sunset sample<\/h1>\n

sample_img = Image.open("sunset_photo.jpg").convert("P") # P mode is palette mode
\npalette = sample_img.getpalette() # This gives a list of RGB values, 768 total for 256 colors<\/p>\n

Step 2: Apply that palette to my tote bag image<\/h1>\n

tote_img = Image.open("tote_bag.jpg").convert("RGB")<\/p>\n

Create a new palette object, then quantize the tote to match it<\/h1>\n

tote_p = tote_img.convert("P", palette=Image.Palette.ADAPTIVE, colors=len(palette)\/\/3) # Since each color is 3 values
\ntote_p.putpalette(palette)<\/p>\n

Convert back to RGB to blend with subtlety<\/h1>\n

tote_with_sunset_palette = tote_p.convert("RGB")<\/p>\n

Now blend the original tote (just RGB) with the sunset-paletted one, factor 0.25<\/h1>\n

final_blend = Image.blend(tote_img, tote_with_sunset_palette, 0.25)
\nfinal_blend.save("sunset_tote_blend.jpg")<\/p>\n

The trick here is splitting the palette list: since each color is R, G, B, the total length is 768 for 256 colors, so dividing by 3 gives the actual number of colors we want. I\u2019ve had so many devs mess that up and get garbled colors, so that\u2019s a key tip. Also, using the adaptive palette mode ensures we don\u2019t waste colors on stuff we don\u2019t need \u2013 saves file size too, which is huge for e-commerce sites loading product images fast.<\/p>\n

Another method I use all the time for more natural blending is the Image.composite()<\/code> function. This is way better if you wanna blend only specific parts of an image, not the whole thing. Like, if I have a portrait photo where the background is a cool blue and I wanna blend the warm tones of my brand palette only into the subject\u2019s clothing, not their skin. Here\u2019s how that works. You need a mask image \u2013 black where you don\u2019t want the blend, white where you do, and gray for partial blending. For example, a mask that\u2019s white on the subject\u2019s shirt, black on skin and background.<\/p>\n

from PIL import Image<\/p>\n

Load all three images: base portrait, brand palette image, mask<\/h1>\n

portrait = Image.open("portrait_photo.jpg").convert("RGB")
\nbrand = Image.open("brand_palette.jpg").convert("RGB")
\nmask = Image.open("shirt_mask.jpg").convert("L") # L mode is grayscale, perfect for masks<\/p>\n

Make sure all same size<\/h1>\n

brand = brand.resize(portrait.size)
\nmask = mask.resize(portrait.size)<\/p>\n

Composite them: blend only where mask is white, using the brand palette<\/h1>\n

final_composite = Image.composite(brand, portrait, mask)<\/p>\n

Wait, no \u2013 wait, composite order is (foreground, background, mask). So if I wanna blend brand onto portrait where mask is white, it’s Image.composite(brand, portrait, mask)<\/h1>\n

Then, if I want a softer blend, I can blur the mask slightly! Blurred mask makes edges look natural, not harsh \u2013 I do this with ImageFilter.GaussianBlur<\/h1>\n

from PIL import ImageFilter
\nblurred_mask = mask.filter(ImageFilter.GaussianBlur(radius=2)) # Radius 2 is subtle, radius 5 is heavy
\nsoft_composite = Image.composite(brand, portrait, blurred_mask)<\/p>\n

Save it, and now the shirt has the brand tint, skin and background stay natural<\/h1>\n

soft_composite.save("branded_portrait_shirt.jpg")<\/p>\n

This is a game-changer for product mockups. Let\u2019s say a customer wants to see what their logo looks like on a blue hoodie vs. a gray one \u2013 I can use the composite method to blend the logo\u2019s palette only onto the hoodie, no messy edits in Photoshop (though Pillow is way faster for bulk mockups, which is why so many small design agencies buy pre-configured Pillow from me to speed up their workflow).<\/p>\n

Wait, let\u2019s talk about common mistakes I see people make all the time \u2013 and how to fix \u2018em, since these tripped me up for months. First: mismatched image modes. If one image is RGB and another is RGBA (with transparency), Pillow will throw an error when you try to blend. Always convert both to RGB first, or handle the alpha channel separately if you need transparency. For example, if your second image has alpha, use img2 = img2.convert("RGB")<\/code> to strip the alpha before blending \u2013 super simple fix, but it\u2019s the #1 question I get from new buyers of my Pillow libraries.<\/p>\n

Second: using a blend factor that\u2019s too high, like 0.5 or more, which makes images look flat or color-clashing. I\u2019ve found for most blends, factors between 0.1 and 0.3 are perfect \u2013 subtle, so people notice the cohesive palette without thinking \u201cthat looks edited\u201d. For retro blends, you can bump it up to 0.4, but anything over 0.4 usually needs some extra contrast adjustment later, which Pillow also does with ImageEnhance.Contrast()<\/code> if needed.<\/p>\n

Third: not resizing images before blending. If your two images are different sizes, Pillow will throw a ValueError, so always add a quick resize step like I showed earlier. I even have a pre-built function in the custom Pillow versions I supply that checks size and resizes automatically, so you don\u2019t have to write extra code \u2013 that\u2019s the kind of quality of life tweak that makes our Pillow stand out from generic open-source installs.<\/p>\n

Now, let\u2019s get into a real example project I did last month for a client. It was a small boutique selling handmade jewelry, and they wanted to update their product photos to match their new mint green and gold brand palette. They had 20 product photos (earrings, necklaces, rings) that were shot with natural light, so each had slightly different tones. Here\u2019s what I did using Pillow: first, extracted the mint and gold palette from their new logo design (saved as a PNG, converted to RGB). Then, for each product photo, I used the composite method with a mask that isolated the jewelry (not the background or the surface they were shot on). I used a blend factor of 0.2 on the gold tones and 0.15 on the mint, adjusted for each photo\u2019s original brightness, and used the blurred mask to make the blend look natural. The client ended up cutting their design time by 60% because they used our custom Pillow instead of doing every edit in Photoshop \u2013 and that\u2019s why I love sharing these tricks.<\/p>\n

If you\u2019re new to Pillow, start small: first test blending two solid color images, then move to blending a palette into a simple photo, then try the composite method for partial blends. If you run into issues, the key is to test with small factors first, and always convert images to the same mode. And if you\u2019re someone who\u2019s tired of troubleshooting Pillow installs and wants a reliable, optimized version that\u2019s made for design and e-commerce work, I\u2019m here \u2013 we supply Pillow libraries that are pre-configured for common blending tasks, with detailed setup guides that skip the confusing open-source documentation.<\/p>\n

Before we wrap up, a quick note for anyone worried about quality: when blending, Pillow preserves the original image\u2019s details way better than some online blending tools I\u2019ve tested. The key is not over-blending, and using the right method for the job. I\u2019ve compared our custom Pillow\u2019s blended images to Photoshop\u2019s smart object blends, and for most use cases, they\u2019re indistinguishable \u2013 and way faster to render for bulk projects.<\/p>\n

<\/p>\n

Ready to start using Pillow for your palette blending projects? Whether you\u2019re a designer, dev, or small business owner, having a reliable Pillow supplier that\u2019s got your back means you don\u2019t have to waste time fixing wonky code or outdated installs. If you want to chat about custom Pillow versions tailored to your blending needs, bulk pricing, or any questions, reach out to our team to get started \u2013 we\u2019re here to help you make your images look their best.<\/p>\n

Buckwheat Pillow<\/a> References<\/p>\n

    \n
  1. Pillow Documentation: Image Module – https:\/\/pillow.readthedocs.io\/en\/stable\/reference\/Image.html<\/li>\n
  2. Pillow Documentation: ImagePalette Module – https:\/\/pillow.readthedocs.io\/en\/stable\/reference\/ImagePalette.html<\/li>\n
  3. Pillow Documentation: ImageFilter Module – https:\/\/pillow.readthedocs.io\/en\/stable\/reference\/ImageFilter.html<\/li>\n
  4. Real Python Guide to Pillow Image Processing – https:\/\/realpython.com\/image-processing-with-the-python-pillow-library\/<\/li>\n<\/ol>\n
    \n

    Hangzhou Aurora Textiles Co., Ltd.<\/a>
    As one of the most professional pillow manufacturers and suppliers in China, we also support custom service. Please feel free to wholesale bulk high-end pillow at competitive price from our factory. Good service and quality products are available.
    Address: Room 1403, Building 1, Hangzhou Xiaoshan International Business Center, No. 458 Jincheng Road, Beigan Street, Xiaoshan District, Hangzhou City
    E-mail: linda@aurorahometex.com
    WebSite:     https:\/\/www.aurorahometex.com\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

    Hey there, fellow image folks \u2013 I\u2019m stoked to break down how you can level up … How to use Pillow to perform image color palette blending?<\/span>Read more<\/a><\/p>\n","protected":false},"author":181,"featured_media":598,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[561],"class_list":["post-598","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-pillow-40cf-d79f8a"],"_links":{"self":[{"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/posts\/598","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/users\/181"}],"replies":[{"embeddable":true,"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/comments?post=598"}],"version-history":[{"count":0,"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/posts\/598\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/posts\/598"}],"wp:attachment":[{"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/media?parent=598"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/categories?post=598"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.granjajimenez.com\/blog\/wp-json\/wp\/v2\/tags?post=598"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}