Instructions to use FrankDase/LTX-2.3-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FrankDase/LTX-2.3-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LTX-2.3-MLX FrankDase/LTX-2.3-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 884 Bytes
6a7a8da | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | {
"convolution_dimensions": 3,
"encoder_blocks": [
[
"res_x",
{
"num_layers": 4
}
],
[
"compress_space_res",
{
"multiplier": 2
}
],
[
"res_x",
{
"num_layers": 6
}
],
[
"compress_time_res",
{
"multiplier": 2
}
],
[
"res_x",
{
"num_layers": 6
}
],
[
"compress_all_res",
{
"multiplier": 2
}
],
[
"res_x",
{
"num_layers": 2
}
],
[
"compress_all_res",
{
"multiplier": 1
}
],
[
"res_x",
{
"num_layers": 2
}
]
],
"encoder_spatial_padding_mode": "zeros",
"in_channels": 3,
"latent_log_var": "uniform",
"norm_layer": "pixel_norm",
"out_channels": 128,
"patch_size": 4
} |