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@@ -12,6 +12,15 @@ tags:
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  - cortiq
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  - video
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  - text-to-video
 
 
 
 
 
 
 
 
 
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  - ltx-video
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  - ltx-2.5
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  - rust
@@ -38,6 +47,14 @@ tags:
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  PyTorch, no diffusers, no CUDA toolkit and no Python anywhere in the process β€”
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  reading one memory-mapped [CMF](https://github.com/infosave2007/cmf) file.
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  [LTX-2.5](https://huggingface.co/Lightricks/LTX-2.5) renders video **and its
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  soundtrack** from one prompt: a 21 B audio-video diffusion transformer that
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  denoises picture and sound in the same 48 blocks, a Gemma-4 12 B prompt
 
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  - cortiq
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  - video
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  - text-to-video
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+ - image-to-video
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+ - image-text-to-video
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+ - video-to-video
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+ - video-to-audio
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+ - audio-to-video
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+ - text-to-audio
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+ - audio-to-audio
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+ - any-to-any
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+ - text-to-audio-video
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  - ltx-video
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  - ltx-2.5
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  - rust
 
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  PyTorch, no diffusers, no CUDA toolkit and no Python anywhere in the process β€”
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  reading one memory-mapped [CMF](https://github.com/infosave2007/cmf) file.
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+ **All nine modes run from this one file**: text β†’ video, text β†’ sound,
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+ text β†’ video + sound, image + text β†’ video, video β†’ video, video β†’ sound,
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+ sound β†’ video, sound β†’ sound, and image + sound β†’ video. Both VAE encoders
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+ are packed alongside the decoders, so conditioning needs nothing else β€” see
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+ [the table below](#every-mode-the-model-has). The `pipeline_tag` says
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+ `text-to-video` because that is the one tag Hugging Face lets a model carry
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+ and it is where people look for this; the rest are in `tags`.
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+
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  [LTX-2.5](https://huggingface.co/Lightricks/LTX-2.5) renders video **and its
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  soundtrack** from one prompt: a 21 B audio-video diffusion transformer that
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  denoises picture and sound in the same 48 blocks, a Gemma-4 12 B prompt