The objective of this lora is to improve the quality of close-up videos, it was trained with 92 files, 61 videos and 31 images, the videos are 33 frames long (33 * 61 = 2013 frames total). trigger word: cl053up I trained using the fork I made of diffusion-pipe, it has an interface using gradio and a docker image that makes it easy to use, with just one command you have the entire environment set up and the models already downloaded, if you want to use it follow the instructions in the README of the repository: <a target="_blank" rel="ugc" href="https://github.com/alisson-anjos/diffusion-pipe-ui">https://github.com/alisson-anjos/diffusion-pipe-ui</a> or you can use the template for Runpod or VastAI. <a target="_blank" rel="ugc" href="https://runpod.io/console/deploy?template=t46lnd7p4b&amp;ref=8t518hht">https://runpod.io/console/deploy?template=t46lnd7p4b&amp;ref=8t518hht</a> <a target="_blank" rel="ugc" href="https://cloud.vast.ai/?ref_id=142589&amp;creator_id=142589&amp;name=Hunyuan%20Lora%20Train%20Simple%20Interface">https://cloud.vast.ai/?ref_id=142589&amp;creator_id=142589&amp;name=Hunyuan%20Lora%20Train%20Simple%20Interface</a>

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