Text-to-Video
MLX
Safetensors
candle
apple-silicon
cuda
ltx-2
ltx-video
image-to-video
audio-video-generation
Instructions to use SceneWorks/ltx-2.5-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/ltx-2.5-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.5-mlx SceneWorks/ltx-2.5-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 5,335 Bytes
2508a63 | 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 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | {
"format": "split",
"model_version": "2.5.0",
"variant": "dev",
"tier": "q4",
"quantized": true,
"quantization_bits": 4,
"quantization_group_size": 64,
"components": [
"transformer",
"text_encoder",
"connector",
"vae_decoder",
"vae_encoder",
"diffusion_vae_encoder",
"vae_diffusion_decoder",
"audio_vae",
"vocoder",
"spatial_upsampler",
"temporal_upsampler",
"duration_head"
],
"component_detail": [
{
"name": "transformer",
"file": "transformer.safetensors",
"tensors": 6779,
"quantized_linears": 1344,
"dense_float_tensors": 2747,
"passthrough_tensors": 0,
"bytes": 11351142862
},
{
"name": "text_encoder",
"file": "text_encoder.safetensors",
"tensors": 682,
"quantized_linears": 0,
"dense_float_tensors": 677,
"passthrough_tensors": 5,
"bytes": 23951735206,
"dense_reason": "below-quality-bar",
"dense_reason_detail": "quantizing this component at this tier's width is structurally fine and measurably too lossy to ship: sc-18775: over the 49 hidden states the LTX-2.5 feature extractor concatenates, q4 lands at worst cos 0.889414 / rel L2 0.53488 against bf16 (bar: cos > 0.97, rel L2 < 0.30); q8 lands at 0.999086 / 0.04320 and passes"
},
{
"name": "connector",
"file": "connector.safetensors",
"tensors": 458,
"quantized_linears": 98,
"dense_float_tensors": 164,
"passthrough_tensors": 0,
"bytes": 1788657589
},
{
"name": "vae_decoder",
"file": "vae_decoder.safetensors",
"tensors": 86,
"quantized_linears": 0,
"dense_float_tensors": 86,
"passthrough_tensors": 0,
"bytes": 814384933,
"dense_reason": "no-linear-weights",
"dense_reason_detail": "no rank-2 Linear weights: every weight is a convolution kernel, a norm or a per-channel statistic, and MLX has no quantized convolution"
},
{
"name": "vae_encoder",
"file": "vae_encoder.safetensors",
"tensors": 86,
"quantized_linears": 0,
"dense_float_tensors": 86,
"passthrough_tensors": 0,
"bytes": 637919540,
"dense_reason": "no-linear-weights",
"dense_reason_detail": "no rank-2 Linear weights: every weight is a convolution kernel, a norm or a per-channel statistic, and MLX has no quantized convolution"
},
{
"name": "diffusion_vae_encoder",
"file": "diffusion_vae_encoder.safetensors",
"tensors": 86,
"quantized_linears": 0,
"dense_float_tensors": 86,
"passthrough_tensors": 0,
"bytes": 637919525,
"dense_reason": "no-linear-weights",
"dense_reason_detail": "no rank-2 Linear weights: every weight is a convolution kernel, a norm or a per-channel statistic, and MLX has no quantized convolution"
},
{
"name": "vae_diffusion_decoder",
"file": "vae_diffusion_decoder.safetensors",
"tensors": 586,
"quantized_linears": 137,
"dense_float_tensors": 175,
"passthrough_tensors": 0,
"bytes": 234971786
},
{
"name": "audio_vae",
"file": "audio_vae.safetensors",
"tensors": 58,
"quantized_linears": 0,
"dense_float_tensors": 58,
"passthrough_tensors": 0,
"bytes": 63873597,
"dense_reason": "no-linear-weights",
"dense_reason_detail": "no rank-2 Linear weights: every weight is a convolution kernel, a norm or a per-channel statistic, and MLX has no quantized convolution"
},
{
"name": "vocoder",
"file": "vocoder.safetensors",
"tensors": 1227,
"quantized_linears": 0,
"dense_float_tensors": 1227,
"passthrough_tensors": 0,
"bytes": 258339787,
"dense_reason": "no-linear-weights",
"dense_reason_detail": "no rank-2 Linear weights: every weight is a convolution kernel, a norm or a per-channel statistic, and MLX has no quantized convolution"
},
{
"name": "spatial_upsampler",
"file": "spatial_upsampler.safetensors",
"tensors": 72,
"quantized_linears": 0,
"dense_float_tensors": 72,
"passthrough_tensors": 0,
"bytes": 995778768,
"dense_reason": "no-linear-weights",
"dense_reason_detail": "no rank-2 Linear weights: every weight is a convolution kernel, a norm or a per-channel statistic, and MLX has no quantized convolution"
},
{
"name": "temporal_upsampler",
"file": "temporal_upsampler.safetensors",
"tensors": 72,
"quantized_linears": 0,
"dense_float_tensors": 72,
"passthrough_tensors": 0,
"bytes": 261944012,
"dense_reason": "no-linear-weights",
"dense_reason_detail": "no rank-2 Linear weights: every weight is a convolution kernel, a norm or a per-channel statistic, and MLX has no quantized convolution"
},
{
"name": "duration_head",
"file": "duration_head.safetensors",
"tensors": 15,
"quantized_linears": 0,
"dense_float_tensors": 15,
"passthrough_tensors": 0,
"bytes": 3843717,
"dense_reason": "no-mlx-port",
"dense_reason_detail": "this crate has no MLX port that can run these weights yet (sc-18777); quantizing them would ship weights no test can exercise"
}
],
"total_bytes": 41000511322
} |