<h2 id="version-1">Version 1</h2>Pretty straight forward if you've ever done lora training before. You do want to prep your dataset ahead of time. It's a tad inefficient that it will save your control and training images again. Saving the control images again is probably not necessary but I did it anyway to be safe.What it does is stitch your control and training images together. The Llama-CPP prompt is calibrated so that it will recognize the top stitched image as the control. You'll want to adjust the following section to your needs:<pre><code>Create a prompt to get qwen image edit to get {Subject of} the input Image to preform the {action} with the {Object} as shown in the output image. Don't use "image" in the prompt.</code></pre>You can pretty mage change that to whatever you feel you need, though still does work as is.You will need LLama CPP to make this work<a target="_blank" rel="ugc" href="https://github.com/lihaoyun6/ComfyUI-llama-cpp_vlm">https://github.com/lihaoyun6/ComfyUI-llama-cpp_vlm</a>

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