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App Screenshots Gallery here (Public) : https://www.reddit.com/r/SECourses/comments/1mfedbw/all_joy_captions_joycaption_apps_1click/
For mass editing captions > https://www.patreon.com/posts/108992085
Latest installers : Joy_Caption_v40.zip
I have developed 4-seperate amazingly advanced Gradio APPs for
Joy Caption Pre Alpha
Joy Caption Alpha One
Joy Caption Alpha Two
Joy Caption Beta One - Newest and Best
Beta One is extremely fast, advanced, and supports full batch processing
When doing multi-GPU batch captioning displayed statistics could be wrong
With v40, we have added full preset save and load feature to Joy Caption Beta One
You can now even add new Extra Options (for non-custom prompts)
It will remember all your saved settings in preset and auto load next time you restart your app
Presets will be saved inside presets folder
Extract zip file and overwrite previous files for update that is sufficient to upgrade from V18
With v39, we have significantly improved Joy Caption Beta One
Now it fully and properly utilizes liger_kernel
The processing speed of BF16 is extremely fast
You will lose a lot of speed in Int8 or NF4 - so use only if you get out of VRAM error
Multiple GPU processing of Joy Caption Beta One completey rewritten and now works amazing and ultra fast
Installation libraries upgraded to Torch 2.8, Triton 3.4, CUDA 12.9 for Windows, RunPod and Massed Compute
I am using all pre-compiled libraries so it should work fairly well as long as you have Python 3.10.11 and Git installed
Extract zip file and overwrite previous files. Moreover, i recommend delete venv folder and make a fresh install of venv

Python 3.10, FFmpeg, CUDA 12.9, C++ tools, MSVC and Git
If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial
With V38 now there is extra option for Beta One app
If you enable Unload model and clear VRAM after each caption before first run, it will fully unload model after each caption and clear VRAM
With V36 now it will process with sorted by name all folders and sub-folders in all apps
So it will sort files and folders by name first and then will do batch process
E.g. A > B > C etc
To update to V36 just extract files from zip and overwrite older files that is it
Joy Caption Beta One app added to our installers
Now fully supports RTX 5000 series GPUs with all kind of speed improvements
Installs with xFormers, Flash Attention, Sage Attention, Triton, DeepSpeed
Thus, Joy Caption Beta One works ultra fast
If you get Triton error use Clear_Triton_Cache.bat
Delete older venv and make a fresh install
Joy Caption Alpha Two stop batch processing problem fixed
Joy Caption Alpha Two batch statistics display on CMD fixed
Joy Caption Alpha Two batch "Error processing image d.JPG: 'd.JPG' and 'd.JPG' are the same file" error fixed
Joy Caption Alpha Two even multi-GPU batch processing displays accurate statistics and progress on CMD right now
Batch processing now will process sub-folders as well
When using Pre Alpha or Alpha One, batch processing was slower on single GPU and was loading model again. This issue fixed
All apps has the following amazing features. If any of them are broken please report and let me know
Use 4-bit Quantization
Input Folder for Batch Processing
Output Folder for Batch Processing (Optional)
Multi-GPU Batch captioning (e.g. 0,1,2)
Overwrite existing caption file - by default skips
Append new caption to existing caption
Remove newlines from generated captions
Cut off at last complete sentence
Discard repeating sentences
Don't save processed image
Resize Input Image Max Resolution
Caption Prefix and Caption Suffix
Using 4-bit Quantization reduces VRAM usage but also slows down.
When using multi-GPU batch captioning, the displayed statistics on CMD could be wrong but still should work perfectly fine.
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 all GPUs now
H100 has amazing price and speed but you can use like RTX A6000 ADA as well
Full details here : https://www.patreon.com/posts/26671823
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
Please register via this link : https://get.runpod.io/955rkuppqv4h
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

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