Prince Canuma 9cba2ea7cd Enhance README.md with new usage examples for STG and modality scale parameters in video generation. Update generate.py to support STG and modality guidance in the denoising process, allowing for improved audio-visual integration. Refactor attention mechanisms in the transformer to include options for skipping self-attention, facilitating STG perturbation and modality isolation. Update LTXModel and transformer block processing to accommodate new parameters for enhanced flexibility in model configurations.

2026-03-14 10:26:12 +01:00

..

components

Refactor model loading in generate.py to use dynamic model paths for audio and video components. Simplify weight loading logic in LTX2TextEncoder to accommodate both monolithic and reformatted model structures. Introduce a check for existing model paths in get_model_path function to enhance robustness.

2026-03-09 15:51:21 +01:00

conditioning

ensure dtype cast

2026-01-17 13:03:48 +01:00

models

Enhance README.md with new usage examples for STG and modality scale parameters in video generation. Update generate.py to support STG and modality guidance in the denoising process, allowing for improved audio-visual integration. Refactor attention mechanisms in the transformer to include options for skipping self-attention, facilitating STG perturbation and modality isolation. Update LTXModel and transformer block processing to accommodate new parameters for enhanced flexibility in model configurations.

2026-03-14 10:26:12 +01:00

__init__.py

Refactor video generation and model loading processes to utilize from_pretrained methods for VideoEncoder and VideoDecoder. Update denoising functions to include a cfg_rescale parameter for improved artifact reduction. Ensure consistent dtype handling across audio and video processing, enhancing precision and aligning with PyTorch behavior.

2026-01-23 17:39:02 +01:00

convert.py

Refactor weight loading and sanitization processes for audio models

2026-01-23 17:31:25 +01:00

generate.py

Enhance README.md with new usage examples for STG and modality scale parameters in video generation. Update generate.py to support STG and modality guidance in the denoising process, allowing for improved audio-visual integration. Refactor attention mechanisms in the transformer to include options for skipping self-attention, facilitating STG perturbation and modality isolation. Update LTXModel and transformer block processing to accommodate new parameters for enhanced flexibility in model configurations.

2026-03-14 10:26:12 +01:00

postprocess.py

initial commit (LTX-2)

2026-01-11 23:48:33 +01:00

text_projection.py

- Refactor video generation script

2026-01-12 14:04:53 +01:00

utils.py

Refactor model loading in generate.py to use dynamic model paths for audio and video components. Simplify weight loading logic in LTX2TextEncoder to accommodate both monolithic and reformatted model structures. Introduce a check for existing model paths in get_model_path function to enhance robustness.

2026-03-09 15:51:21 +01:00

version.py

setup

2026-01-12 16:17:45 +01:00