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d1fa47722b87f2422cdd5c1d293b20b2f6b9c0a9
mlx-video
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mlx_video
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models
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ltx
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Prince Canuma
d1fa47722b
Fix timestep_conditioning logic in infer_vae_decoder_config to ensure consistent behavior based on has_timestep flag.
2026-03-11 18:30:29 +01:00
..
audio_vae
Refactor weight loading and sanitization processes for audio models
2026-01-23 17:31:25 +01:00
prompts
Add prompt enhancement feature to video generation
2026-01-15 14:31:00 +01:00
video_vae
Add LTX-2.3 model architecture with prompt-conditioned adaptive layer normalization (adaln) support. Introduce gating mechanisms in attention modules and update transformer configurations to accommodate new parameters. Refactor video and audio processing to utilize adaptive normalization, improving model flexibility and performance. Update weight loading and initialization logic to support dynamic block structures in the decoder.
2026-03-10 16:47:36 +01:00
__init__.py
add audio
2026-01-16 01:15:22 +01:00
adaln.py
initial commit (LTX-2)
2026-01-11 23:48:33 +01:00
attention.py
Add LTX-2.3 model architecture with prompt-conditioned adaptive layer normalization (adaln) support. Introduce gating mechanisms in attention modules and update transformer configurations to accommodate new parameters. Refactor video and audio processing to utilize adaptive normalization, improving model flexibility and performance. Update weight loading and initialization logic to support dynamic block structures in the decoder.
2026-03-10 16:47:36 +01:00
config.py
Add LTX-2.3 model architecture with prompt-conditioned adaptive layer normalization (adaln) support. Introduce gating mechanisms in attention modules and update transformer configurations to accommodate new parameters. Refactor video and audio processing to utilize adaptive normalization, improving model flexibility and performance. Update weight loading and initialization logic to support dynamic block structures in the decoder.
2026-03-10 16:47:36 +01:00
convert.py
Fix timestep_conditioning logic in infer_vae_decoder_config to ensure consistent behavior based on has_timestep flag.
2026-03-11 18:30:29 +01:00
feed_forward.py
initial commit (LTX-2)
2026-01-11 23:48:33 +01:00
ltx.py
Add LTX-2.3 model architecture with prompt-conditioned adaptive layer normalization (adaln) support. Introduce gating mechanisms in attention modules and update transformer configurations to accommodate new parameters. Refactor video and audio processing to utilize adaptive normalization, improving model flexibility and performance. Update weight loading and initialization logic to support dynamic block structures in the decoder.
2026-03-10 16:47:36 +01:00
rope.py
Refactor weight loading and sanitization processes for audio models
2026-01-23 17:31:25 +01:00
text_encoder.py
Add LTX-2.3 model architecture with prompt-conditioned adaptive layer normalization (adaln) support. Introduce gating mechanisms in attention modules and update transformer configurations to accommodate new parameters. Refactor video and audio processing to utilize adaptive normalization, improving model flexibility and performance. Update weight loading and initialization logic to support dynamic block structures in the decoder.
2026-03-10 16:47:36 +01:00
text_projection.py
- Refactor video generation script
2026-01-12 14:04:53 +01:00
transformer.py
Add LTX-2.3 model architecture with prompt-conditioned adaptive layer normalization (adaln) support. Introduce gating mechanisms in attention modules and update transformer configurations to accommodate new parameters. Refactor video and audio processing to utilize adaptive normalization, improving model flexibility and performance. Update weight loading and initialization logic to support dynamic block structures in the decoder.
2026-03-10 16:47:36 +01:00
upsampler.py
Add LTX-2.3 model architecture with prompt-conditioned adaptive layer normalization (adaln) support. Introduce gating mechanisms in attention modules and update transformer configurations to accommodate new parameters. Refactor video and audio processing to utilize adaptive normalization, improving model flexibility and performance. Update weight loading and initialization logic to support dynamic block structures in the decoder.
2026-03-10 16:47:36 +01:00