GLM Image
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Generate images from text prompts or edit existing images
Eduard-Constantin Ibinceanu
eduard9526
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FineWeb: decanting the web for the finest text data at scale
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Generate high-quality text data for LLMs using FineWeb
TRELLIS.2
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High-fidelity 3D Generation from images
Qwen Image Edit 2509 LoRAs Fast Fusion
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Qwen Image Editing Fusion Collection LoRA Demo
Qwen Image Edit Light Migration
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Apply the lighting from one image to another image
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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.
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