MODEL PROFILE

LTX-2.5-GGUF

unsloth · LTX-2.5-GGUF

This is a GGUF quantized version of LTX-2.5 by Lightricks, the 22B audio-video DiT, both the **distilled** (8 + 3 steps, CFG 1) and the **dev** (full, 30 steps, CFG 3) checkpoint. unsloth/LTX-2.5-GGUF uses Unsloth Dynamic 2.0 methodology: the `UD-` files are mixed precision, with every layer's type chosen from a measured sensitivity scan, and they beat the uniform files at the same size. - Loads in Unsloth Studio and in ComfyUI through ComfyUI-GGUF (`Unet Loader (GGUF)`), both tested on every file here. - Same layout as unsloth/LTX-2.3-GGUF: dev files at the root, distilled files in `distilled/`. The text encoder, VAEs and latent upscaler are unchanged; take them from Lightricks/LTX-2.5. **Recommended:** `UD-Q4_K_XL` (14.0 GB) for most GPUs: clearly better than `Q4_K_M` and on par with `Q5_K_M`, which is 1.6 GB larger. For output closest to bf16 use `Q8_0`; on small cards use `UD-Q2_K_XL` (9.5 GB), which is far cleaner than `Q2_K` and close to `Q3_K_M` at 1.8 GB less. `distilled/ltx-2.5-22b-distilled-UD-Q4_K_XL.gguf`, 1280x704, 121 frames, 24 fps, seed 42, with audio: text to video, image to video.

Video generationlicense:other
Context windowNot disclosed
Input → OutputImage → Video
Model weightsNot verified
Profile updated2026/11/2 19:16:42
OVERVIEW

Model overview

This is a GGUF quantized version of LTX-2.5 by Lightricks, the 22B audio-video DiT, both the **distilled** (8 + 3 steps, CFG 1) and the **dev** (full, 30 steps, CFG 3) checkpoint. unsloth/LTX-2.5-GGUF uses Unsloth Dynamic 2.0 methodology: the `UD-` files are mixed precision, with every layer's type chosen from a measured sensitivity scan, and they beat the uniform files at the same size. - Loads in Unsloth Studio and in ComfyUI through ComfyUI-GGUF (`Unet Loader (GGUF)`), both tested on every file here. - Same layout as unsloth/LTX-2.3-GGUF: dev files at the root, distilled files in `distilled/`. The text encoder, VAEs and latent upscaler are unchanged; take them from Lightricks/LTX-2.5. **Recommended:** `UD-Q4_K_XL` (14.0 GB) for most GPUs: clearly better than `Q4_K_M` and on par with `Q5_K_M`, which is 1.6 GB larger. For output closest to bf16 use `Q8_0`; on small cards use `UD-Q2_K_XL` (9.5 GB), which is far cleaner than `Q2_K` and close to `Q3_K_M` at 1.8 GB less. `distilled/ltx-2.5-22b-distilled-UD-Q4_K_XL.gguf`, 1280x704, 121 frames, 24 fps, seed 42, with audio: text to video, image to video.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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。

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Frequently asked questions

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Sources & traceability

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。