Instructions to use Kijai/LTX2.3_comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Kijai/LTX2.3_comfy with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
mxfp8 test
#35
by lanranjun - opened
T2V:
Model Name: ltx-2.3-22b-distilled_transformer_only_mxfp8-block32.safetensors
10s duration, hot start, secondary sampling (euler_ancestralcfg_pp, euler_cfg_pp), MXFP8 distillation model with 8 steps:
- 1024 * 600:169s
- 1280 * 736:169s
- 1532 * 832:253s
- 1920 * 1088:483s
In addition, I found that using the character Lora (ltx-2.0) trained by myself would slow down the sampling speed and increase the overall running time by about 100 seconds+
with chracter lora
- 1532 * 832:350s
without chracter lora - 1532 * 832:253s
The live action scene feels slightly inferior, but the Pixar animation effect is good and the difference cannot be seen
my pc:
5060ti 16G VRAM
64G RAM