- Removed direct initialization of latents with random noise, replacing it with a conditional approach based on I2V (Image-to-Video) conditioning.
- Introduced a structured flow for applying noise during the latent state creation, enhancing the conditioning process for both video and audio.
- Updated the noise application logic to ensure proper handling of conditioned and unconditioned frames in both stages of video generation.
- Improved code clarity and maintainability by consolidating latent shape definitions and restructuring noise application logic.
- Updated `denormalize` and `pixel_norm` methods in `LTX2VideoDecoder` and `PerChannelStatistics` classes to cast mean and standard deviation to float32 for improved precision.
- Ensured that the output of normalization operations retains the original data type of the input tensor.
- Introduced `load_image`, `prepare_image_for_encoding`, and `apply_conditioning` functions for handling image inputs and conditioning during video generation.
- Enhanced `generate_video` and `denoise_av` functions to accept optional image inputs for I2V conditioning.
- Updated command-line interface to include parameters for image conditioning, such as `--image`, `--image-strength`, and `--image-frame-idx`.
- Added new `VideoConditionByLatentIndex` and `LatentState` classes for managing latent states with conditioning.
- Implemented VAE encoder loading and image encoding for conditioning in the video generation process.d
- Introduced `enhance_prompt`, `max_tokens`, and `temperature` parameters in `generate_video` function for improved prompt handling.
- Implemented prompt enhancement logic using the new `enhance_t2v` method in the text encoder.
- Added command-line arguments for prompt enhancement options.
- Created new system prompt files for T2V and I2V generation to guide the enhancement process.
