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Kadir Nar

kadirnar

https://huggingface.co/ArtGAN

AI & ML interests

Computer Vision, Open Source, Generative AI

Recent Activity

liked a model 6 days ago

Falconsai/nsfw_image_detection

liked a dataset 19 days ago

gokaygokay/prompt-enhancement-75k

liked a model 19 days ago

gokaygokay/SmolLM2-Prompt-Enhance

Organizations

kadirnar's activity

posted an update 3 months ago

Post

3830

I am training a controlnet model for Flux. And some of my experiences:

Checkpoint-10000:

https://x.com/kadirnar_ai/status/1829831750471606668

Checkpoint-12000:

https://x.com/kadirnar_ai/status/1829889524962640001

Checkpoint-14000:

https://x.com/kadirnar_ai/status/1829989622878744711

Checkpoint (16000-18000):

https://x.com/kadirnar_ai/status/1830179551407665654

Dataset: kadirnar/fluxdev_controlnet_16k
GPU: 1xA100(80GB)
GPU Hours: 65

1 reply

posted an update 5 months ago

Post

4117

Stable Diffusion 3: Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Demo(Zero A100): kadirnar/Stable-Diffusion-3

Paper: https://arxiv.org/pdf/2403.03206
Model Page: stabilityai/stable-diffusion-3-medium

Thanks ❤️ @dn6 @sayakpaul

posted an update 5 months ago

Post

3905

Fast Tachyon SDXL Demo:

Demo(Zero A100): kadirnar/BlackHole-Lightning

Model Page: https://civitai.com/models/414108/black-hole

reacted to DmitryRyumin's post with 🔥 6 months ago

Post

1480

🔥🚀🌟 New Research Alert - YOLOv10! 🌟🚀🔥
📄 Title: YOLOv10: Real-Time End-to-End Object Detection 🔝

📝 Description: YOLOv10 improves real-time object recognition by eliminating non-maximum suppression and optimizing the model architecture to achieve state-of-the-art performance with lower latency and computational overhead.

👥 Authors: Ao Wang et al.

📄 Paper: YOLOv10: Real-Time End-to-End Object Detection (2405.14458)

🤗 Demo: kadirnar/Yolov10 curated by @kadirnar
🔥 Model 🤖: kadirnar/Yolov10

📁 Repository: https://github.com/THU-MIG/yolov10

📮 Post about YOLOv9 - https://huggingface.co/posts/DmitryRyumin/519784698531054

📚 More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

🔍 Keywords: #YOLOv10 #ObjectDetection #RealTimeAI #ModelOptimization #MachineLearning #DeepLearning #ComputerVision #Innovation

1 reply

replied to DmitryRyumin's post 6 months ago

Thanks🤗

posted an update 6 months ago

Post

1900

BLACK HOLE SDXL Lightning:

Prompt: a photo of a baby dragon
Steps: 4

replied to their post 6 months ago

Thanks 😍

posted an update 6 months ago

Post

1953

Midjourney + Custom SDXL-Lightning:

2 replies

posted an update 7 months ago

Post

2704

New SDXL model:

2 replies

reacted to MonsterMMORPG's post with 🔥❤️ 7 months ago

Post

3682

Watch the full tutorial here : https://youtu.be/0t5l6CP9eBg

The tutorial is over 2 hours literally with manually fixed captions and perfect video chapters.

Most Awaited Full Fine Tuning (with DreamBooth effect) Tutorial Generated Images - Full Workflow Shared In The Comments - NO Paywall This Time - Explained OneTrainer - Cumulative Experience of 16 Months Stable Diffusion

In this tutorial, I am going to show you how to install OneTrainer from scratch on your computer and do a Stable Diffusion SDXL (Full Fine-Tuning 10.3 GB VRAM) and SD 1.5 (Full Fine-Tuning 7GB VRAM) based models training on your computer and also do the same training on a very cheap cloud machine from MassedCompute if you don't have such computer.

Tutorial Readme File ⤵️
https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Tutorials/OneTrainer-Master-SD-1_5-SDXL-Windows-Cloud-Tutorial.md

Register Massed Compute From Below Link (could be necessary to use our Special Coupon for A6000 GPU for 31 cents per hour) ⤵️
https://bit.ly/Furkan-Gözükara

Coupon Code for A6000 GPU is : SECourses

0:00 Introduction to Zero-to-Hero Stable Diffusion (SD) Fine-Tuning with OneTrainer (OT) tutorial
3:54 Intro to instructions GitHub readme
4:32 How to register Massed Compute (MC) and start virtual machine (VM)
5:48 Which template to choose on MC
6:36 How to apply MC coupon
8:41 How to install OT on your computer to train
9:15 How to verify your Python, Git, FFmpeg and Git installation
12:00 How to install ThinLinc and start using your MC VM
12:26 How to setup folder synchronization and file sharing between your computer and MC VM
13:56 End existing session in ThinClient
14:06 How to turn off MC VM
14:24 How to connect and start using VM
14:41 When use end existing session
16:38 How to download very best OT preset training configuration for SD 1.5 & SDXL models
18:00 How to load configuration preset
18:38 Full explanation of OT configuration and best hyper parameters for SDXL
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reacted to DmitryRyumin's post with 🤗❤️ 9 months ago

Post

🎉✨ Exciting Research Alert! YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information 🚀

YOLOv9 is the latest breakthrough in object detection!

📄 Title: YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

👥 Authors: Chien-Yao Wang et al.
📅 Published: ArXiv, February 2024

🔗 Paper: YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information (2402.13616)
🔗 Model 🤖: adonaivera/yolov9
🔗 Repo: https://github.com/WongKinYiu/yolov9

🚀 Don't miss out on this cutting-edge research! Explore YOLOv9 today and stay ahead of the curve in the dynamic world of computer vision. 🌟

🔍 Keywords: #YOLOv9 #ObjectDetection #DeepLearning #ComputerVision #Innovation #Research #ArtificialIntelligence

1 reply

replied to DmitryRyumin's post 9 months ago

I developed the package code for the Yolov9 model.

https://github.com/kadirnar/yolov9-pip

reacted to merve's post with ❤️ 9 months ago

Post

There's a new leaderboard for vision language models 🤩
The models are ranked based on ELO, you can rate the responses to preselected examples or try with your input 🤗
WildVision/vision-arena