for comfyUI node: "cant find schp"(model files in folder)
replace
init
.py from the pure python fork with the one in this repo here
initfix
have not tested C++ version might have same fix
cloned README.md
Cozy Human Parser
Fast, VRAM-light ComfyUI nodes to generate masks for specific body parts and clothes or fashion items. Runs on CPU and CUDA.
Made with 💚 by the
CozyMantis
squad.
Original
ATR
LIP
Pascal
Installation
Clone this repository into your custom_nodes directory, then run
pip install -r requirements.txt
to install the required dependencies.
Copy the following models to the
models/schp
directory, depending on which parser you would like to use:
Windows can't find the "ninja.exe" file. The file is probably getting downloaded/installed to something like
X:\path\to\comfy\python_embeded\lib\site-packages\ninja\data\bin
, but it's not properly getting added to the system path, so the OS can't invoke it.
The solution is to:
locate the "ninja.exe" file;
add the full path to ninja.exe into the system PATH:
NK1104: cannot open file 'python311.lib' (or similar)
Windows can't locate the
python311.lib
library. You need to search for it on your system, then add the library's parent directory to the "LIB" environment variable.
You can start this tool only from a Visual Studio developer command prompt. You cannot start it from a system command prompt or from File Explorer. For more information, see Use the MSVC toolset from the command line.
First, make sure you've installed all of the things highlighted below:
error: first parameter of allocation function must be of type "size_t"
Make sure you're running the "x64 Native Tools Command Prompt" instead of the x86 one. Type "x64" in the start menu to locate it.
Acknowledgements
-All the repo owners and maintainers
Based on the excellent paper
"Self-Correction for Human Parsing"
by Li, Peike and Xu, Yunqiu and Wei, Yunchao and Yang, Yi, and their original code that we've updated to also run on CPUs.
@article{li2020self,
title={Self-Correction for Human Parsing},
author={Li, Peike and Xu, Yunqiu and Wei, Yunchao and Yang, Yi},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2020},
doi={10.1109/TPAMI.2020.3048039}}
Runs of ApacheOne ComfyUI-human-parser_models_ATR_LIP_Pascal on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About ComfyUI-human-parser_models_ATR_LIP_Pascal huggingface.co Model
More ComfyUI-human-parser_models_ATR_LIP_Pascal license Visit here:
ComfyUI-human-parser_models_ATR_LIP_Pascal huggingface.co is an AI model on huggingface.co that provides ComfyUI-human-parser_models_ATR_LIP_Pascal's model effect (), which can be used instantly with this ApacheOne ComfyUI-human-parser_models_ATR_LIP_Pascal model. huggingface.co supports a free trial of the ComfyUI-human-parser_models_ATR_LIP_Pascal model, and also provides paid use of the ComfyUI-human-parser_models_ATR_LIP_Pascal. Support call ComfyUI-human-parser_models_ATR_LIP_Pascal model through api, including Node.js, Python, http.
ComfyUI-human-parser_models_ATR_LIP_Pascal huggingface.co is an online trial and call api platform, which integrates ComfyUI-human-parser_models_ATR_LIP_Pascal's modeling effects, including api services, and provides a free online trial of ComfyUI-human-parser_models_ATR_LIP_Pascal, you can try ComfyUI-human-parser_models_ATR_LIP_Pascal online for free by clicking the link below.
ApacheOne ComfyUI-human-parser_models_ATR_LIP_Pascal online free url in huggingface.co:
ComfyUI-human-parser_models_ATR_LIP_Pascal is an open source model from GitHub that offers a free installation service, and any user can find ComfyUI-human-parser_models_ATR_LIP_Pascal on GitHub to install. At the same time, huggingface.co provides the effect of ComfyUI-human-parser_models_ATR_LIP_Pascal install, users can directly use ComfyUI-human-parser_models_ATR_LIP_Pascal installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
ComfyUI-human-parser_models_ATR_LIP_Pascal install url in huggingface.co: