LTX-2.5-Quantized

モデル紹介

LTX-2.5 generates picture and sound in one pass. It is also 42 GB of bf16 weights, and the text encoder beside it is another 26 GB. This repo is the set of weights that make it run on a card that does not have that. Sizes are measured, not estimated. "Fits 16 GB" assumes the text encoder is not resident at the same time — ComfyUI frees it before sampling — and tiled VAE decode. File sizes are decimal GB (bytes / 10^9); card capacities are the usual binary GiB, so a 15.9 GB file occupies 14.8 GiB of a 16 GiB card. The gap is real and it is where your activation pool lives. On the text encoder: at bf16 it is 26.3 GB and at Lightricks' int8 15.4 GB, which on a 16 GB card means the encoder alone owns the machine for the one step that just makes an embedding. **No GGUF of the LTX-2.5 encoder exists** — ComfyUI-GGUF gates text encoders on `TXT_ARCH_LIST`, which carries `gemma3` but not `gemma4`, so LTX-2.3's gemma3 encoder does have GGUFs and this one cannot. The open request (#450, 2026-05-28) has not been picked up — but comfy-native quantisations of it do exist and landed the same day as ours (Winnougan's w4a8-convrot at 10.6 GB, DmitryDB's nvfp4 at 11.2, vonkaiser's nvfp4-torchao at 8.9). Ours is w4a8 at 10.60 GB, within 2 MB of Winnougan's — the same format at the same size, published independently. Treat it as a mirror, not a first.

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

よくある質問

出典と追跡記録

许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。