PASD

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PASD is an open-source Content & Design tool that offers pixel-aware stable diffusion for realistic image super-resolution and personalized stylization. It supports various tasks including old photo restoration and colorization.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is PASD?

PASD (Pixel-Aware Stable Diffusion) is an open-source tool designed for realistic image super-resolution and personalized stylization. It leverages stable diffusion models to enhance image quality, restore old photos, and apply custom styles. The tool supports tasks like colorization and allows users to control the detail level of super-resolution. PASD provides pre-trained models and offers a Gradio demo for easy interaction. It also features tiled latent processing for upscaling ultra high-resolution images, making it versatile for various image manipulation needs. The project is based on diffusers and is available on GitHub.

Best used for

Ideal for graphic designers and photographers who need to enhance image resolution, apply unique artistic styles, and restore old or damaged photographs. Especially valuable for those looking for an open-source solution with advanced control over detail levels and support for high-resolution images.

Common actions

upscale images

stylize images

restore photos

colorize images

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Capabilities

Key features

Realistic image super-resolution
Personalized stylization
Old photo restoration
Image colorization
Tiled latent processing

Target Audience

graphic designerphotographer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of image tasks can PASD perform?

PASD is capable of realistic image super-resolution, personalized stylization, old photo restoration, and colorization. It allows users to enhance image quality, apply custom artistic styles, and bring old or grayscale images to life with color.

How can I try PASD?

You can try PASD by installing it via pip from its GitHub repository and downloading the necessary checkpoint and model files. A Gradio demo is also available for a more interactive experience, allowing you to test its capabilities directly.

Does PASD support high-resolution image upscaling?

Yes, PASD supports upscaling ultra high-resolution images through its tiled latent method. Users need to carefully set parameters like `latent_tiled_size` and `decoder_tiled_size` when working with large images to optimize performance and memory usage.

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