377 GB
24 files
Updated about 1 month ago
Name
Size
diffusion_models
loras
text_encoders
vae
.gitattributes1.52 kB
xet
LICENSE21.4 kB
xet
README.md1.47 kB
xet
README.md

Separated LTX2.3 checkpoint for alternative way to load the models in Comfy

image

The fp8 quantizations were done with the basic static weight scales and are set to not run with fp8 matmuls, the models marked input_scaled additionally have activation scaling, and are set to run with fp8 matmuls on supported hardware (roughly 40xx and later Nvidia GPUs).

As this is first time I'm attempting to do calibrate input scales, these are pretty experimental, but result wise seems to work, this is a test on a 4090, 8 steps with distill:

update: input_scaled_v3 follows the same pattern as the official one where blocks 0-1 and 46-47 (first two and last two) are kept in bf16, as well as better calibrated input scales, this does fix some of the issues in v2, especially when using input audio.


Tiny VAE by madebyollin

Can be used like this currently:

image

Total size
377 GB
Files
24
Last updated
May 31
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