PiT Installation and Usage Guide
To use the PiT tool, the following preparation and installation steps need to be completed:
- hardware requirement: Recommended for computers with NVIDIA graphics and CUDA, can be run without GPU but is slower
- software environment: Requires Python 3.8+ and the Git version control tool (Windows users need to download it from git-scm.com)
- Installation process::
- Downloading the source repository via the git clone command
- Install the dependencies listed in requirements.txt (e.g. torch, numpy, etc.)
- Download IP-Prior and IP-Adapter+ pre-trained models
- Installing the diffusers library and configuring SDXL models
To use, simply place the image part in PNG format into the specified input directory and run the generate.py script to generate the full image. Example of a typical command:python generate.py --input_dir input/ --output_dir output/ --prompt "卡通风格"
Note that the model needs to be loaded on the first run, which may take a long time. If you encounter an error, you usually need to follow the prompts to supplement the installation of the missing Python libraries.
This answer comes from the articlePiT: tool for piecing together complete images from image parts (not open)The
May not be reproduced without permission:AI productivity tools " How do I install and use the PiT tool? What pre-requisites are required?
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