LTX2.3-10Eros-1.4

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What LTX2.3-10Eros-1.4 is

GGUF Version of LTX2.3-10Eros-1.4 for ComfyUI Original model Link: https://huggingface.co/TenStrip/LTX2.3-10Eros Watch us on Youtube: @VantageWithAI - For v1 follow this link https://huggingface.co/vantagewithai/LTX2.3-10Eros-GGUF - For v1.2 follow this link https://huggingface.co/vantagewithai/LTX2.3-10Eros-1.2-GGUF - For v1.3 follow this link https://huggingface.co/vantagewithai/LTX2.3-10Eros-1.3-GGUF - For v1.5 follow this link https://huggingface.co/vantagewithai/LTX2.3-10Eros-1.5-GGUF 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/LTX2.3-10ErosWorkflows/blob/main/10Eros10SNodesI2VBasicDMDV5.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. 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 no

Summarised from the published model card. Read the full card on the HuggingFace links below.

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Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

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Call it like any OpenAI endpoint

Once AxForge deploys ltx2-3-10eros-1-4 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ltx2-3-10eros-1-4 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/videos/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"ltx2-3-10eros-1-4","prompt":"a drone shot over a forest"}'

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