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LTX2.3 Distilled LoRA 1.1 Experiments

These attempt to create a better distilled experience for fine tunes and especially for i2v and input conditioned workflows. As it is, the rank 384 official lora is massive overkill and extremely bad with conditioned...

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Model source

Kind
UNet
File size
363 MB
Version
vltx-2.3-22b-distilled-lora-1.1_fro90_ceil32_condsafe
Updated
Oct 15, 2026
Source
Hugging Face

Source description

These attempt to create a better distilled experience for fine tunes and especially for i2v and input conditioned workflows. As it is, the rank 384 official lora is massive overkill and extremely bad with conditioned inputs and finetunes; most community usage has gone for dynamically resized loras, but we've only been offered arbitrary sizes that are still overpowered. These don't compromise and will just rerank and chop off layers, tbh I don't care because those dimensions are clearly stripping and interfering with the output at high strengths.

For 72 rank and lower can be used 1.0 first pass I2V safely. Upscale pass at half or 0.4 strength, still working on an upscale version.

"_ceil" means that was the dynamic ceiling during rerank.

"_cond_safe" means that the attention layers like cross-attention bridges, adaln/scale-shift tables, gate logits, prompt scale-shift have been zeroed. This is technically what an official I2V distilled lora should have had and been released, the 384 distilled lora also seems to actively dampen the extra conditioning in the workflow. Those cond_safe versions are much better suited to I2V, maybe better all-around.

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Model artifacts

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ltx-2.3-22b-distilled-lora-1.1_fro90_ceil32_condsafe.safetensors

safetensors · 363 MB · SHA-256 dcff1334ed18…8d0a · Hugging Face

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Source excerpts

2 excerpts

These attempt to create a better distilled experience for fine tunes and especially for i2v and input conditioned workflows. As it is, the rank 384 official lora is massive overkill and extremely bad with conditioned inputs and finetunes; most community usage has gone for dynamically resized loras, but we've only been offered arbitrary sizes that are still overpowered. These don't compromise and will just rerank and chop off layers, tbh I don't care because those dimensions are clearly stripping and interfering with the output at high strengths. For 72 rank and lower can be used 1.0 first pass I2V safely. Upscale pass at half or 0.4 strength, still working on an upscale version. "_ceil" means that was the dynamic ceiling during rerank. "_cond_safe" means that the attention layers like cross-attention bridges, adaln/scale-shift tables, gate logits, prompt scale-shift have been zeroed. This is technically what an official I2V distilled lora should have had and been released, the 384 distilled lora also seems to actively dampen the extra conditioning in the workflow. Those cond_safe versions are much better suited to I2V, maybe better all-around.

Source context: 0 downloads · 71 likes · Repo TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments