pruna-vaed-mlx

MLX conversion of PrunaAI/PrunaVAED — a pruned LTX-2.3 video VAE decoder for Apple Silicon.

Converted with mlx-forge (pruna-vaed recipe): Conv3d weights transposed to MLX channels-last; per_channel_statistics injected from stock dgrauet/ltx-2.3-mlx.

Important

This is not a drop-in replacement for stock vae_decoder.safetensors. Channel widths and skip conv_in projections differ. Load with a Pruna-aware decoder graph (e.g. ltx-ws VideoDecoderPruna / ltx-2-mlx port of patched diffusers LTX2VideoDecoder3d).

Files

File	Role
`vae_decoder_pruna.safetensors`	Decoder weights (`vae_decoder.*` prefix) + per-channel stats
`vae_decoder_pruna_config.json`	Construct-time channel / upsample schedule
`split_model.json`	mlx-forge metadata

Usage (ltx-ws)

# Auto-download into ./models/ when --vae-decoder pruna
python server.py --vae-decoder pruna
# or: LTX_WS_VAE_DECODER=pruna

Re-convert

mlx-forge convert pruna-vaed --output ./models/pruna-vaed-mlx
mlx-forge validate pruna-vaed ./models/pruna-vaed-mlx

License

Follow upstream licenses for PrunaVAED and LTX-2.3.

Downloads last month: -; Downloads are not tracked for this model. How to track

MLX

Hardware compatibility

Quantized

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for audiohacking/pruna-vaed-mlx

Base model

Lightricks/LTX-2.3

Finetuned

(101)

this model