Palette
Photo Developer PlatformVideo Developer PlatformPalette AppPalette Video Colorization (via Neural Love)
  • Palette API & No-code Tools
  • 👋Introduction
    • Key features
    • The AI colorization engine
  • 📸Image Processing
    • Subscription plans
    • Bulk Processing with Google Colab and Google Drive
    • API Demo Usage with Google Colab
    • Image python snippets
    • Settings visualized
  • 📽️Video Processing
    • Subscription plans
    • Video Colorization with Google Colab
    • Video python snippets
  • 🛠️Extra resources
    • API reference
      • Colorize image with reference image
      • Colorize image with auto prompt
      • Colorize image with auto prompt base64
      • Colorize video frame with prompt
      • Colorize video frame with reference image
      • Generate video frame prompt
      • Generate image prompt
    • Specification
    • Other resources
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On this page
  • Default Values for the Official Palette App
  • Utilizing Standard Filters 1-20
  • Utilizing Artistic Filters 1-100
  • Auto Color Balancing
  • Auto White Balancing
  • Temperature Adjustment
  • Saturation Adjustment
  • Reference Image
  1. Image Processing

Settings visualized

Visulize the settings for the main parameters

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Last updated 1 year ago

Default Values for the Official Palette App

The new default values for are listed below, along with detailed explanations in the following sections:

data = {
    "resolution": "watermarked-sd", # watermarked-sd, sd, full-hd, or 4k
    "prompt": "", # replace with custom prompt (manual prompt)
    "standard_filter_id": "1", # 0-20 default filters (auto prompt)
    "artistic_filter_id": "O", # 0-100 more creative filters (auto prompt)
    "raw_captions": "false", # true or false, remove post and prefix from prompt
    "pre_fix": "", # create your own pre_fix, e.g. A photo of
    "post_fix": "", # create your own pre_fix, e.g. HDR and colorful.
    "auto_color": "true", # true or false, color balancing
    "white_balance": "false", # white balancing
    "temperature": "-0.1", # 0.0 - 1.0, cold or warm filter
    "saturation": "1.1" # 0.0 - 2.0, adjust saturation
}

Utilizing Standard Filters 1-20

  • Parameter: standard_filter_id

  • Enabled values: 1-20

  • Disable value: 0

  • 10 filters per row (e.g., first row: 1-10)

Filters 1-3 offer the most conservative colorizations, making them suitable defaults for various applications. Filter 1 is the most consistent choice. Filters 4-20 provide more vibrant colors but may be less robust. These 20 filters are the default options in the official Palette.fm.

Utilizing Artistic Filters 1-100

  • Parameter: artistic_filter_id

  • Enabled values: 1-100

  • Disable value: 0

  • 10 filters per row (e.g., first row: 1-10)

These filters may be less consistent, but they offer more colorful results. They are featured in the "Surprise Me" option within the official Palette.fm browser-app.

Auto Color Balancing

  • Parameter: auto_color

  • Enabled value: true

  • Disable value: false

  • Example: Standard filters 1-20 with alternating auto_color false and true. 10 per row.

Comparisons are made in pairs. The first image has auto_color set to false, while the second has it enabled. In Palette's official app, auto_color is set to true by default. This setting enhances color balance, brings out softer colors, and adds a more vibrant appearance.

Auto White Balancing

  • Parameter: white_balance

  • Enabled value: true

  • Disable value: false

  • Example: Standard filters 1-20 with alternating white_balance false and true. 10 per row.

Note: Comparisons are presented in pairs. The first image has white_balance set to false, while the second enables it. In Palette's official app, white_balance is set to false by default. Although less robust than auto_color, this setting performs well with higher quality images, providing a cleaner appearance.

Temperature Adjustment

  • Parameter: temperature

  • Enabled value: -1.0 - 1.0

  • Disable value: 0.0

  • Example: Standard filters 1-20 with temperature going from - 1.0 - 1.0

Image temperature ranges from -1.0 to 1.0, with 0.0 disabling the adjustment. The official Palette app sets the default value at -0.1. Older images tend to lose contrast and appear flat in color. Applying a slightly colder filter on the mid-tones enhances image cleanliness and adds depth.

Saturation Adjustment

  • Parameter: saturation

  • Enabled value: 0.0 - 2.0

  • Disable value: 1.0

  • Example: Standard filters 1-20 with saturation going from 0.0 - 2.0

Image saturation ranges from 0.0 to 2.0, with 1.0 disabling the adjustment. The official Palette app sets the default value at 1.1, slightly boosting colors for a more vibrant appearance.

Reference Image

  • Parameter: image_ref

Utilize the reference image to approximate the color scheme in your colorization. Ensuring the general color pattern is similar will lead to a pleasing result. Feel free to explore creativity by incorporating elements such as flowers or butterflies to enhance the color palette.

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Palette