<div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/kP6DdlHlTQg" start="0"></iframe></div><p>This workflow was created based on a request from the YouTube comments, asking for a <strong>low-VRAM setup with inpainting support</strong>, similar to my earlier low-VRAM workflows.</p><h3 id="overview"><strong>Overview</strong></h3><ul><li><p>GGUF-based workflow designed to run on <strong>low VRAM systems</strong></p></li><li><p>Supports <strong>Q4 and Q6 models</strong></p></li><li><p>Uses <strong>FP8 mixed text encoder</strong> for efficiency</p></li><li><p>Can also run <strong>FP16 models</strong> if you have higher VRAM available</p></li></ul><h3 id="workflow-design"><strong>Workflow Design</strong></h3><ul><li><p>Built using <strong>only core, native nodes</strong></p></li><li><p>No missing nodes or external dependencies</p></li><li><p>Loads and runs as-is</p></li></ul><h3 id="inpainting-examples"><strong>Inpainting Examples</strong></h3><ul><li><p>Adding sunglasses by masking the face area</p></li><li><p>Changing clothing by masking the torso and prompting a new outfit</p></li><li><p>Lighting and overall consistency are preserved across edits</p></li></ul><h3 id="why-this-workflow-exists"><strong>Why This Workflow Exists</strong></h3><ul><li><p>Simple to read and modify</p></li><li><p>Focused on practical image editing</p></li><li><p>Optimized for systems with limited resources</p></li></ul><p></p>

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