description: <p>This surprisingly versatile SDXL LoRA is trained on a small dataset containing images of the remains of a huge fire at Philips Lighting Application Centre (LAC) Eindhoven, May 14th, 2023. The footage was taken two months later with a Canon G7X mkII point and shoot camera and is <a target="_blank" rel="ugc" href="https://huggingface.co/datasets/leonvanbokhorst/fire-havoc-philips-lac-eindhoven">available on Huggingface</a>.<br /></p><h2 id="heading-663">Usage</h2><p>Just drop one of the images into ComfyUI 🥳 or...</p><ul><li><p>LoraLoader after the SDXL base model (strength usually at 1.0)</p></li><li><p>Both samplers DPM++ SDE</p></li><li><p>80 for the base, CFG 10</p></li><li><p>20 for the refiner, CFG 6</p></li><li><p>Standard SDXL resolutions</p></li></ul><p></p><p>Many thanks to <a target="_blank" rel="ugc" href="http://Stability.ai">Stability.ai</a> for SDXL, the wonders of <a target="_blank" rel="ugc" href="https://github.com/comfyanonymous/ComfyUI">ComfyUI</a>, and <a target="_blank" rel="ugc" href="https://huggingface.co/TheLastBen">TheLastBen</a> for providing such a comprehensive <a target="_blank" rel="ugc" href="https://github.com/TheLastBen/fast-stable-diffusion">SDXL LoRA training notebook</a> 🙏</p>
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name: LAC040 Rubble SDXL LoRA
tags: glass style concrete rubble rust lora wire sdxl style lora eindhoven