1-Click Installers for Paints-UNDO Advanced Gradio APP, Windows, RunPod, Massed Compute and Kaggle Installers

1-Click Installers for Paints-UNDO from lllyasviel. 1-Click Install on Windows, RunPod, Massed Compute and a free Kaggle Notebook.

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• PaintsUndo: A Base Model of Drawing Behaviors in Digital Paintings

  • So what this APP do is that, you give an input image, it tries to mimic how that image could have been drawn with an artist like steps of drawing it

  • The APP generates image steps points in time and also a video output of drawing like drawing from scratch

  • Official Repo : https://github.com/lllyasviel/Paints-UNDO

    • We have Low VRAM mode and it works great

• Latest zip file : Paints_UNDO_v5.zip

  • We have 1-Click installer for Windows, RunPod, Massed Compute and a Free Kaggle Notebook. Read this post extremely carefully to learn how to use all

• Video Tutorial : Hopefully coming soon

24 April 2025 Update

• I just compiled xFormers with latest official Torch 2.7

  • Should work with all GPUs starting from RTX 1600 series and above like , 2060, 3060, 4090, 5080 etc

Windows Requirements

• Python 3.10, FFmpeg, CUDA 12.4, cuDNN 8.9 and 9.4+, C++ tools and Git

• If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial

• https://youtu.be/DrhUHnYfwC0

  • It should work with above version of CUDA 12.4 and cuDNN 8.9 but haven't tested

How To Install and Use:

Windows:

• First watch above requirements tutorial and follow every step

  • Extract zip archive into a drive like c:/Paints_UNDO_v3

  • Longer directory path causes issues

  • Double click and install with Windows_Install.bat and that is it

  • Then run with Windows_Start_App.bat to start Paints UNDO SECourses APP

  • And follow above and below attached screenshot

Massed Compute (Recommend Cloud) :

• Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute

  • Use our coupon SECourses

  • Our coupon works on following GPUS

    • L40 : 625 GB Disk Space, 128 GB RAM, 48 GB GPU: 49 cents per hour

    • RTX A6000 : 256 GB Disk Space, 48 GB RAM, 48 GB GPU: 31 cents per hour

    • ALT RTX A6000 : 256 GB Disk Space, 32 GB RAM, 48 GB GPU: 30 cents per hour

  • Then select our image SECourses from Creator dropdown

  • Then follow Massed_Compute_Instructions_READ.txt

  • Same as my any other Massed Compute installer script

  • Example tutorial for learn how to install and use Massed Compute

    • (Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778

RunPod (Cloud):

• Please register via this link : https://runpod.io?ref=1aka98lq

  • Then follow Runpod_Instructions_READ.txt

  • Same as my any other RunPod installer script

  • Use the template written in Runpod_Instructions_READ.txt file

  • Example tutorial for learn how to install and use RunPod

    • (starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323

Kaggle (Free Cloud - Not Recommend):

Gradio Live Share now working so we don't need Ngrok Tunneling anymore

• Register Kaggle for free and verify your phone number : https://www.kaggle.com/

• Upload the Kaggle notebook file from downloaded attachments

• Follow the instructions on the Kaggle notebook

• How to Use Kaggle Notebooks General Tutorial

  • (Starts at 27:34) https://youtu.be/KW-MHmoNcqo?si=vkKTvWHbZVrn4x7h&t=1654