RoyRud1902/yolo11n-text
Object Detection • Updated
• 102 • 2
Donkey Small
DonkeySmall
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RoyRud1902/yolo11n-text:Augmentation liked
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Qwen/Qwen-Image-Edit-2511 Organizations
Augmentation
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#1 opened 2 months ago
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DonkeySmall
liked 2 models 2 months ago
updated a dataset 3 months ago
reacted to MonsterMMORPG's post with 🚀 3 months ago
Post
3322
Don't forget to checkout our latest amazing training tutorial
Z-Image Turbo LoRA training with AI Toolkit and Z-Image ControlNet Full Tutorial for Highest Quality
https://youtu.be/ezD6QO14kRc
liked 3 models 3 months ago
updated a dataset 3 months ago
published a dataset 3 months ago
reacted to MonsterMMORPG's post with ❤️ 4 months ago
Post
3567
Next level Realism with Qwen Image is now possible after new realism LoRA workflow - Top images are new realism workflow - Bottom ones are older default - Full tutorial published - 4+4 Steps only
Tutorial of realism : https://youtu.be/XWzZ2wnzNuQ
Tutorial of training : https://youtu.be/DPX3eBTuO_Y
This is a full comprehensive step-by-step tutorial for how to train Qwen Image models. This tutorial covers how to do LoRA training and full Fine-Tuning / DreamBooth training on Qwen Image models. It covers both the Qwen Image base model and the Qwen Image Edit Plus 2509 model. This tutorial is the product of 21 days of full R&D, costing over $800 in cloud services to find the best configurations for training. Furthermore, we have developed an amazing, ultra-easy-to-use Gradio app to use the legendary Kohya Musubi Tuner trainer with ease. You will be able to train locally on your Windows computer with GPUs with as little as 6 GB of VRAM for both LoRA and Fine-Tuning.
Tutorial of realism : https://youtu.be/XWzZ2wnzNuQ
Tutorial of training : https://youtu.be/DPX3eBTuO_Y
This is a full comprehensive step-by-step tutorial for how to train Qwen Image models. This tutorial covers how to do LoRA training and full Fine-Tuning / DreamBooth training on Qwen Image models. It covers both the Qwen Image base model and the Qwen Image Edit Plus 2509 model. This tutorial is the product of 21 days of full R&D, costing over $800 in cloud services to find the best configurations for training. Furthermore, we have developed an amazing, ultra-easy-to-use Gradio app to use the legendary Kohya Musubi Tuner trainer with ease. You will be able to train locally on your Windows computer with GPUs with as little as 6 GB of VRAM for both LoRA and Fine-Tuning.
- 4 replies
liked a dataset 4 months ago
liked a Space 4 months ago
Разметка данных
2
#2 opened 4 months ago
by
DonkeySmall
liked a dataset 4 months ago
reacted to sourceoftruthdata's post with 🤗 4 months ago
Post
3439
What a fantastic community!
- 1 reply
reacted to mitkox's post with 🔥 4 months ago
Post
2831
Say hello to my little friends! I just unboxed this trio of HP Z2 G1a!
Three is always better than one!
3x AMD Ryzen AI Max+ Pro 395
384GB RAM
24TB of RAID storage
Ubuntu 24.04
ROCm 7.0.2
llama cpp, vLLM and Aibrix
Small, cheap GPUs are about to become the Raspberry Pi of edge AI inference. Sprinkle some
Make sure you own your AI. AI in the cloud is not aligned with you; it’s aligned with the company that owns it.
Three is always better than one!
3x AMD Ryzen AI Max+ Pro 395
384GB RAM
24TB of RAID storage
Ubuntu 24.04
ROCm 7.0.2
llama cpp, vLLM and Aibrix
Small, cheap GPUs are about to become the Raspberry Pi of edge AI inference. Sprinkle some
kubectl fairy dust on top, and suddenly it's a high-availability, self-healing, cloud-native, enterprise-grade AI cluster camping in a closet.Make sure you own your AI. AI in the cloud is not aligned with you; it’s aligned with the company that owns it.
- 3 replies
reacted to sergiopaniego's post with ❤️ 5 months ago
Post
2358
@Qwen released their new small and dense VLMs (Qwen3-VL).
They're incredibly capable and one of my all-time favourite VLMs.
🤗 We’ve prepared some resources to help you get started.
> Fine-tune Qwen3-VL-4B with SFT or GRPO (free Colab notebooks):
> SFT: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/sft_qwen_vl.ipynb
> GRPO: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_qwen3_vl.ipynb
> Compare object detection vs. Moondream3:
sergiopaniego/vlm_object_understanding
> Fine-tune from the CLI using TRL:
https://github.com/kashif/Qwen3-VL/blob/trl-sft/qwen-vl-finetune/README.md#trl-based-training-single-gpu
They're incredibly capable and one of my all-time favourite VLMs.
🤗 We’ve prepared some resources to help you get started.
> Fine-tune Qwen3-VL-4B with SFT or GRPO (free Colab notebooks):
> SFT: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/sft_qwen_vl.ipynb
> GRPO: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_qwen3_vl.ipynb
> Compare object detection vs. Moondream3:
sergiopaniego/vlm_object_understanding
> Fine-tune from the CLI using TRL:
https://github.com/kashif/Qwen3-VL/blob/trl-sft/qwen-vl-finetune/README.md#trl-based-training-single-gpu
published a dataset 5 months ago
liked a dataset 5 months ago