ComfyUI-IDM-VTON
HR-VITON
ComfyUI-IDM-VTON | HR-VITON | |
---|---|---|
1 | 2 | |
180 | 808 | |
- | - | |
8.9 | 4.1 | |
16 days ago | 6 months ago | |
Python | Python | |
GNU General Public License v3.0 only | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ComfyUI-IDM-VTON
HR-VITON
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Accelerate Machine Learning Local Development and Test Workflows with Nvidia Docker
FROM tensorflow/tensorflow:1.15.5-gpu-py3 # Handle Nvidia public key update and update repositories for Ubuntu 18.x. #https://github.com/sangyun884/HR-VITON/issues/45 # reference: https://jdhao.github.io/2022/05/05/nvidia-apt-repo-public-key-error-fix/ RUN rm /etc/apt/sources.list.d/cuda.list RUN rm /etc/apt/sources.list.d/nvidia-ml.list RUN apt-key del 7fa2af80 # Additional reference: https://gitlab.com/nvidia/container-images/cuda/-/issues/158 RUN export this_distro="$(cat /etc/os-release | grep '^ID=' | awk -F'=' '{print $2}')" \ && export this_version="$(cat /etc/os-release | grep '^VERSION_ID=' | awk -F'=' '{print $2}' | sed 's/[^0-9]*//g')" \ && apt-key adv --fetch-keys "https://developer.download.nvidia.com/compute/cuda/repos/${this_distro}${this_version}/x86_64/3bf863cc.pub" \ && apt-key adv --fetch-keys "https://developer.download.nvidia.com/compute/machine-learning/repos/${this_distro}${this_version}/x86_64/7fa2af80.pub" # get the latest version of OpenCV RUN apt-get update && \ DEBIAN_FRONTEND=noninteractive \ apt-get install -y -qq \ wget git libopencv-dev RUN python -m pip install --upgrade pip && \ pip install matplotlib opencv-python==4.5.4.60 Pillow scipy \ azure-eventhub azure-eventhub-checkpointstoreblob-aio ipykernel WORKDIR /
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Need some suggestions about garment to person virtual try on
Developing a garment to person virtual try on app, by far, the best results I could find is HR-VITON, another one is pasta-gan++(lower resolution, but should be acceptable after scale up). I have studied the papers of Gaugan
What are some alternatives?
stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
docker-cuda-demo
sd-webui-inpaint-anything - Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
container-images
images-grid-comfy-plugin - A simple comfyUI plugin for images grid (X/Y Plot)
PASTA-GAN-plusplus
ComfyUI-Depth-Anything-Tensorrt - ComfyUI Depth Anything Tensorrt Custom Node (up to 14x faster), licensed under CC BY-NC-SA 4.0
APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
CIHP_PGN - Code repository for Part Grouping Network, ECCV 2018
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
StyleGAN-Human - StyleGAN-Human: A Data-Centric Odyssey of Human Generation