BluePixel Editor

Open-source AI image/video editing agent by vivo Image Group.

Why BluePixel Is Different

• Human-like Natural Language Interactions — The agent provides personalized recommendations for each input image, delivering better editing effects.
• 4K Native Output — Process and output at full 4K resolution with no downscaling.
• Pixel Preservation — Untouched areas stay byte-identical. Zero degradation to unedited regions.

Quick Start

# Install the BluePixel CLI
pip install bluepixel-cli

# Authenticate (uses Google OAuth)
bluepixel auth login

# Edit an image with a natural language prompt
bluepixel edit input.jpg --prompt "Remove the person in the background" -o output.jpg

# Batch edit
bluepixel edit images/ --prompt "Enhance colors and upscale to 4K" -o results/

Core Capabilities

1. Natural Language Editing

Describe edits in plain text. No brushes or masks required (though supported).

bluepixel edit photo.jpg --prompt "Change the sky to a golden sunset"
bluepixel edit product.png --prompt "Remove all text from the packaging"

2. 4K Native Output

Process and output at full 4K resolution — no downscaling during AI processing.

bluepixel edit input.jpg --prompt "Enhance details" --resolution 4k -o output.jpg

3. Pixel Preservation

Untouched areas stay byte-identical. Zero degradation to unedited regions.

bluepixel edit photo.jpg --prompt "Replace only the background" --preserve-pixels -o output.jpg

4. Supported Tasks

| Task | Example Prompt | |------|---------------| | Background removal | "Remove the background and make it transparent" | | Style transfer | "Transform this photo into a watercolor painting" | | Object editing | "Add a red hat to the person" | | Text removal | "Remove all text while keeping the background" | | Super resolution | "Upscale to 4K and enhance details" | | Image restoration | "Recolor and restore, remove scratches and damage" | | Virtual try-on | "This person is wearing the jacket from image2.jpg" |

5. API Integration

from bluepixel import BluePixelClient

client = BluePixelClient()
result = client.edit(
    image="input.jpg",
    prompt="Remove the person in the background",
    resolution="4k",
    preserve_pixels=True,
)
result.save("output.jpg")

6. OpenClaw Integration

BluePixel works as an OpenClaw skill. When a user asks to edit an image:

1. Identify the input image path
2. Determine the edit instruction from the user's request
3. Run bluepixel edit with the appropriate prompt
4. Return the output path to the user

# From within an OpenClaw agent
bluepixel edit "$INPUT_PATH" --prompt "$USER_PROMPT" -o "$OUTPUT_PATH"

Configuration

Config file: ~/.bluepixel/config.yaml

default_resolution: 4k
preserve_pixels: true
output_format: png
api_endpoint: https://api.bluepixel.vivo.com/v1

References

• API documentation — full REST API reference
• Supported models — available AI models and their capabilities