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rockerBOO/ltx2.3-10eros-nvfp4
ltx2.3-10eros-nvfp4 is a image-to-video model from rockerBOO. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. It is set up for diffusion-single-file. The card lists the license as other.
NVFP4 quantized version of TenStrip/LTX2.3-10Eros (v1.5), a fine-tune/layer-scaled merge built on SulphurAI/Sulphur-2-base, itself a variant of Lightricks/LTX-2.3, for image-to-video generation.
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From the Hugging Face model README
NVFP4 quantized version of TenStrip/LTX2.3-10Eros (v1.5), a fine-tune/layer-scaled merge built on SulphurAI/Sulphur-2-base, itself a variant of Lightricks/LTX-2.3, for image-to-video generation.
[!NOTE] Not-for-all-audiences: this model is tuned for explicit motion/anatomy generation, per the upstream model card.
| File | Size | Source |
|---|---|---|
10Eros_v1.5_nvfp4.safetensors | 22 GB | 10Eros_v1.5_bf16.safetensors (46 GB) |
Only the v1.5 checkpoint is converted here (repo name kept as plain "eros" since that's the only version quantized so far — other upstream versions, e.g. 1.2/1.3/1.4, are not included).
NVFP4 (FP4 E2M1 block quantization) requires a Blackwell GPU (SM >= 10.0/12.0) for inference (e.g. RTX 50-series, B100/B200). Converted and tested on an RTX 5070 Ti.
Load with ComfyUI (or any loader supporting .comfy_quant metadata for NVFP4 weights) as a checkpoint —
bundles the transformer, video VAE, and audio VAE, same layout as the upstream bf16 checkpoint.
Per the upstream model card, v1.5 pairs best with a "hybrid" DMD/distill LoRA to make full use of its
motion variety (e.g. TenStrip/LTX2.3_DMD_Lora's
LTX2.3_DMD_hybrid_v2.safetensors, or
maximsobolev275/LTX2.3-DMD-Distill-Lora-Hybrids).
Quantized with the convert-to-quant (ctq) CLI tool using NVFP4 (FP4 E2M1) block quantization,
Comfy-quant format, and the built-in --ltxv2 exclusion filter (keeps select transformer blocks
high-precision and excludes the VAE and vocoder from quantization — matching LTX-2's mixed-modal
audio/video architecture). Same method used for our
Sulphur-2-base NVFP4 conversion.
hf download TenStrip/LTX2.3-10Eros --include "10Eros_v1.5_bf16.safetensors"
uv run --with convert-to-quant --with triton --with safetensors --with tqdm --with numpy ctq \
-i 10Eros_v1.5_bf16.safetensors \
-o 10Eros_v1.5_nvfp4.safetensors \
--ltxv2 --nvfp4 --comfy_quant --save-quant-metadata --simple --low-memory
10Eros_v1.5_nvfp4.safetensors: 9643 tensors, 1232 layers quantized (verified via the
_quantization_metadata header) — same exclusion profile/tensor counts as the Sulphur-2-base
conversion, since both share the same LTX-2.3 architecture.
Flags used:
--nvfp4 — FP4 E2M1 block quantization--comfy_quant — Comfy quantization tensor/metadata format--ltxv2 — LTXv2 exclusion filter (keep select transformer blocks high-precision, exclude vae/vocoder)--simple — skip SVD optimization, use simple quantization--save-quant-metadata — embed _quantization_metadata in the safetensors header--low-memory — stream tensors during quantization to reduce RAM usageLTX-2 Community License Agreement (included in this repo), inherited from SulphurAI/Sulphur-2-base / Lightricks/LTX-2.3.
Additionally, per the creator's (TenStrip) terms for the base 10Eros model:
By downloading, accessing, or using the 10Eros Model (the "Model"), you ("User") agree to the following terms:
This agreement is governed by the laws of the United States. If you do not agree to these terms, do not download or use the Model.