Majid Ali

majidml

https://github.com/MajidAli44

AI & ML interests

Data Science

Recent Activity

liked a model 12 days ago

Ateeqq/Text-Rewriter-Paraphraser

liked a model about 2 months ago

tencent/Tencent-Hunyuan-Large

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Organizations

majidml's activity

liked a model 12 days ago

Ateeqq/Text-Rewriter-Paraphraser

Text2Text Generation • Updated Aug 5 • 548 • 15

liked a model about 2 months ago

tencent/Tencent-Hunyuan-Large

Text Generation • Updated 28 days ago • 201 • 529

reacted to nyuuzyou's post with 👀 3 months ago

Post

1422

🌐 Subdomain Dataset Update: September 2024 Data Now Available

I have updated the nyuuzyou/subdomains dataset with fresh data for September 2024. This addition further expands this largest collection of subdomain statistics currently available, providing researchers and analysts with even more valuable insights into web infrastructure and domain patterns.

Latest Update Highlights:
- New File: subdomains_2024_09.csv
- Unique Subdomains: 19,191,867
- Total Occurrences: 170,792,927

reacted to MonsterMMORPG's post with 👍 3 months ago

Post

4103

Huge news for Kohya GUI - Now you can fully Fine Tune / DreamBooth FLUX Dev with as low as 6 GB GPUs without any quality loss compared to 48 GB GPUs - Moreover, Fine Tuning yields better results than any LoRA training could

Config Files
I published all configs here : https://www.patreon.com/posts/112099700

Tutorials
Fine tuning tutorial in production

Windows FLUX LoRA training (fine tuning is same just config changes) : https://youtu.be/nySGu12Y05k

Cloud FLUX LoRA training (RunPod and Massed Compute ultra cheap) : https://youtu.be/-uhL2nW7Ddw

LoRA Extraction
The checkpoint sizes are 23.8 GB but you can extract LoRA with almost no loss quality - I made a research and public article / guide for this as well

LoRA extraction guide from Fine Tuned checkpoint is here : https://www.patreon.com/posts/112335162

Info
This is just mind blowing. The recent improvements Kohya made for block swapping is just amazing.

Speeds are also amazing that you can see in image 2 - of course those values are based on my researched config and tested on RTX A6000 - same speed as almost RTX 3090

Also all trainings experiments are made at 1024x1024px. If you use lower resolution it will be lesser VRAM + faster speed

The VRAM usages would change according to your own configuration - likely speed as well

Moreover, Fine Tuning / DreamBooth yields better results than any LoRA could

Installers
1-Kohya GUI accurate branch and Windows Torch 2.5 Installers and test prompts shared here : https://www.patreon.com/posts/110879657

The link of Kohya GUI with accurate branch : https://github.com/bmaltais/kohya_ss/tree/sd3-flux.1

reacted to clem's post with 👍 3 months ago

Post

4160

Open-source AI creates healthy competition in a field where natural tendencies lead to extreme concentration of power. Imagine a world where only one or two companies could build software. This is the biggest risk and ethical challenge of them all IMO. Let's fight this!