Edit model card

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

PIXELFORGE_INPAINT_BETA

Model Description

PIXELFORGE_INPAINT_BETA is an advanced image inpainting model optimized for high-quality content completion tasks. Utilizing the Diffusor approach, this model excels in generating coherent and contextually relevant content to fill in missing or damaged parts of an image. It is particularly suitable for digital art restoration, content creation, and sophisticated image manipulation applications.

Model Details

  • Model Type: Inpainting
  • Parameters: 1.5 billion
  • File Size: 12 GB (combined from two safetensor files)
  • License: MIT License
  • Dataset: Trained on a diverse dataset including landscapes, portraits, and abstract art.

Intended Use

This model is designed for:

  • Image inpainting and restoration
  • Creative art generation
  • Removing unwanted elements or filling missing parts of images

Installation

To use the PIXELFORGE_INPAINT_BETA model, ensure you have the following dependencies installed:

pip install torch transformers diffusers
Downloads last month
0
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.