<h2 id="experimental"><span style="color:rgb(31, 255, 23)"><strong>EXPERIMENTAL</strong></span></h2><h2 id="commercial-use-is-now-allowed!-just-please-credit-me-:3"><span style="color:rgb(8, 255, 0)">Commercial use is now allowed! Just please credit me :3</span></h2><h2 id="the-workflow-i-use-is-https:huggingface.corunexxltx-2.3-workflowsblobmainltx-2.3_-_i2v_t2v_basic_for_checkpoint_models.json-for-some-reason-the-metadata-is-stripped-from-the-vids-idk-why.-for-second-and-third-video-i-used-the-res_3sres_2s-sampler-10eros-lora-https:huggingface.comaximsobolev275ltx-10eros-lora-r768treemain-and-22b-dev-model."><span style="color:rgb(0, 255, 21)"><strong>The workflow I use is </strong></span><a target="_blank" rel="ugc" href="https://huggingface.co/RuneXX/LTX-2.3-Workflows/blob/main/LTX-2.3_-_I2V_T2V_Basic_for_checkpoint_models.json">https://huggingface.co/RuneXX/LTX-2.3-Workflows/blob/main/LTX-2.3_-_I2V_T2V_Basic_for_checkpoint_models.json for some reason the metadata is stripped from the vids idk why</a><span style="color:rgb(0, 255, 21)"><strong>. For second and third video I used the res_3s/res_2s sampler, 10eros lora </strong></span><a target="_blank" rel="ugc" href="https://huggingface.co/maximsobolev275/LTX-10Eros-LoRA-r768/tree/main"><span style="color:rgb(0, 255, 21)"><strong>https://huggingface.co/maximsobolev275/LTX-10Eros-LoRA-r768/tree/main and 22b dev model.</strong></span></a></h2><h2 id="this-is-a-multi-step-reasoning-lora-trained-on-a-subset-of-of-the-vbvr-multistep-dataset."><span style="color:rgb(31, 255, 23)">This is a multi step reasoning lora trained on a subset of of the </span><a target="_blank" rel="ugc" href="https://huggingface.co/datasets/Video-Reason/VBVR-MultiStep"><span style="color:rgb(115, 255, 64)"><strong><u>VBVR-MultiStep dataset.</u></strong></span></a></h2><h2 id="v0.1-is-trained-on-a-250-video-subset-from-the-physics-portion-of-the-dataset.-this-lora-was-trained-on-my-ltx-2.3-reasoning-merge-model-that-i-made-by-merging-my-reasoning-lora-into.-this-lora-stacks-well-with-my-other-reasoning-lora-and-physics-lora-and-you-should-notice-that-it-follows-prompts-better-and-object-to-object-interactions-are-better-as-well."><span style="color:rgb(31, 255, 23)"><strong>V0.1 is trained on a 250 video subset from the Physics portion of the dataset. This lora was trained on my LTX 2.3 reasoning merge model that I made by merging my reasoning lora into. This lora stacks well with my other reasoning lora and physics lora and you should notice that it follows prompts better and object to object interactions are better as well.</strong></span></h2><h2></h2><h2 id="currently-working-on-a-version-trained-on-several-thousand-videos.-potentially-larger-at-a-later-date."><span style="color:rgb(31, 255, 23)"><strong><u>Currently working on a version trained on several thousand videos. Potentially larger at a later date.</u></strong></span></h2><h2></h2><h2 id="i-highly-recommend-using-the-sulfur-2-base-model-or-its-rank-768-lora-as-it-makes-nsfw-generations-a-ton-better."><span style="color:rgb(31, 255, 23)"><strong>I highly recommend using the Sulfur 2 Base model or its rank 768 lora as it makes NSFW generations a ton better.</strong></span></h2><h2></h2><h2 id="works-the-same-on-realistic-and-non-nsfw-generations"><span style="color:rgb(31, 255, 23)"><strong>Works the same on realistic and non NSFW generations</strong></span></h2><p></p>

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