LTX2.3 10Eros

--- library_name: diffusers pipeline_tag: image-to-video --- **10 Eros** v1.5 Changelog: 1.4 and DMD only struggled with one thing, explicit motion and anatomy that was easy to access in version 1.2 and sulphur. All that data is still inside the model; versions 1.2, 1.3, 1.4, and 1.5 are almost all the same model. The difference is how the attn_2 and attn_1 gates are handled. 1.5 is 1.4 with a linear ramp across the gates to open up those explicit details from sulphur like they are on version 1.2's blocks. It still mostly maintains 1.4's base model style prompting and more stable outputs and structure. Because it is a hybrid of a model made for DMD and a model made for LTX distilled lora use, it goes best with a hybrid lora to make use of the motion vareity. Currently the hybrid block DMD lora here seems to work nicely: https://huggingface.co/TenStrip/LTX2.3_DMD_Lora/blob/main/LTX2.3_DMD_hybrid_v2.safetensors or these ones: https://huggingface.co/maximsobolev275/LTX2.3-DMD-Distill-Lora-Hybrids 1.5 INT8 with hybrid v2 merge: https://huggingface.co/CornLogic/10EROS-INT8/tree/main 1.5 INT8 quality version: https://huggingface.co/LokkenJP/10EROS_1.5_fp8_exp_learned v1.4 Changelog: Built off 1.3 and bringing back explicit prompting and motion hopefully without any kind of anatomy redraw or negative tendency. Still requires intense prompt refinement. This version is set up to be trained on to fix it into a real base, it doesn't depict anatomy well but it also isn't confused by it which is priority for the first lora passes I'll do. Use lora stacks to improve it if needed. v1.3 Changelog: Only designed to work with DMD lora on a workflow like my V5 DMD. https://huggingface.co/TenStrip/LTX2.3-10Eros_Workflows/blob/main/10Eros_10SNodes_I2V_Basic_DMD_V5.json Full remix aimed at the way the original beta functioned. Any Lora for 2.3 that exists for the attempted concept should be used and is reccomended. For further versions I train my own anatomy patches but I couldn't work with the subtitles and general overexcitement of the older versions going forward. The over-sulphur issues like ghost anatomy and subtitles should be greatly diminished while actual explicit motions and prompting stay at a comparable level. Prompting is 100% more important and should be approached like it is in the base 22b dev model, strict and descriptive and directive. v1.2 Changelog:...

--- library_name: diffusers pipeline_tag: image-to-video --- **10 Eros** v1.4 Changelog: Built off 1.3 and bringing back explicit prompting and motion hopefully without any kind of anatomy redraw or negative tendency. Still requires intense prompt refinement. This version is set up to be trained on to fix it into a real base, it doesn't depict anatomy well but it also isn't confused by it which is priority for the first lora passes I'll do. Use lora stacks to improve it if needed. v1.3 Changelog: Only designed to work with DMD lora on a workflow like my V5 DMD. https://huggingface.co/TenStrip/LTX2.3-10Eros_Workflows/blob/main/10Eros_10SNodes_I2V_Basic_DMD_V5.json Full remix aimed at the way the original beta functioned. Any Lora for 2.3 that exists for the attempted concept should be used and is reccomended. For further versions I train my own anatomy patches but I couldn't work with the subtitles and general overexcitement of the older versions going forward. The over-sulphur issues like ghost anatomy and subtitles should be greatly diminished while actual explicit motions and prompting stay at a comparable level. Prompting is 100% more important and should be approached like it is in the base 22b dev model, strict and descriptive and directive. v1.2 Changelog: Leveraged tuned connector data to reduce face drift and aid long prompts/director. Also using sulphur EXP weights on top of v1 to hone the most explicit motions. All common issues like mistaken extra anatomy, subtitles, unexpected transitions, etc all still present from v1. https://huggingface.co/TenStrip/LTX2.3-10Eros_Workflows Quants: https://huggingface.co/vantagewithai/LTX2.3-10Eros-GGUF/tree/main Nodes: https://github.com/TenStrip/10S-Comfy-nodes Reliant on https://huggingface.co/SulphurAI/Sulphur-2-base This is a different merge attempt for ideal I2V use. It uses layer scaled merges of different steps, it's not a straight weight merge. It behaves much nicer than lora load and respects prompt. Prompt should be enhanced, LTX has very little self reasoning and input when it is conditioned, first frame and all following motions, evolutions, and audio must be commanded-you will get nothing if you don't ask it. BF16 loads as a checkpoint with clip and VAEs. Fp8_mixed_learned is the better FP8 version and is a full checkpoint as well, quant by S1LV3RC01N. Kijai split files are for 10Ero...

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