The latest articles on DEV Community by elneves (@elneves). https://dev.to/elneves https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3365158%2F78726b69-19e1-4ae3-a943-88a70e8965cd.png https://dev.to/elneves en elneves Thu, 07 Aug 2025 00:02:26 +0000 https://dev.to/elneves/just-released-the-worlds-first-lora-for-qwen-image-entire-training-toolkit-open-sourced-10pj https://dev.to/elneves/just-released-the-worlds-first-lora-for-qwen-image-entire-training-toolkit-open-sourced-10pj <p>Clone the repository and navigate into it: <br> <code>git clone https://github.com/FlyMyAI/qwen-image-lora-trainer<br> cd qwen-image-lora-trainer</code></p> <p>Install required packages: <code>pip install -r requirements.txt</code></p> <p>Install the latest <code>diffusers</code> from GitHub: <br> <code>pip install git+https://github.com/huggingface/diffusers</code></p> <p>To begin training with your configuration file (e.g., train_lora.yaml), run:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>accelerate launch train.py --config ./train_configs/train_lora.yaml </code></pre> </div> <p>Or upload your photos: <a href="https://app.flymy.ai/models/flymyai/qwen-image-lora-trainer" rel="noopener noreferrer">https://app.flymy.ai/models/flymyai/qwen-image-lora-trainer</a> </p> <p>Use access via API with Qwen LoRA node: <a href="https://app.flymy.ai/models/flymyai/qwen-image-lora" rel="noopener noreferrer">https://app.flymy.ai/models/flymyai/qwen-image-lora</a></p> opensource news t2i ai