Sebastian Nagy
Snagy22000
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10 days ago
Transformers.js v4 Preview: Now Available on NPM!
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13 days ago
Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA & Fine Tuning - Base & Edit Model - 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. Furthermore, I have shown how to train a character (person), a product (perfume) and a style (GTA5 artworks).
Tutorial Link : https://youtu.be/DPX3eBTuO_Y
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💥 `hf-mem` v0.4.1 now also estimates KV cache memory requirements for any context length and batch size with the `--experimental` flag!
`uvx hf-mem --model-id ... --experimental` will automatically pull the required information from the Hugging Face Hub to include the KV cache estimation, when applicable.
💡 Alternatively, you can also set the `--max-model-len`, `--batch-size` and `--kv-cache-dtype` arguments (à la vLLM) manually if preferred.
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