GitLab

- Introduced `image_utils.py` with functions to check, extract, and save base64-encoded images.
- Updated `TaskRequest` schema to accept base64 images or URLs in `image_path`.
- Modified `VideoGenerationService` to handle base64 images, saving them appropriately.
- Updated scripts to convert local image paths to base64 before sending requests.

* add gguf loading functions

* support wan22 distill

* Enhance BaseRunner with model protocols and type hints and fix lora load

* Add support for multiple LoRAs configuration and enhance lora_strength argument handling

* doc: style fix

* bugs fixed for distill_model server

* bug fixed for lora merge

* fix: correct frequency computation in WanTransformerInfer

* refactor: restructure API server and distributed inference services

- Removed the old api_server_dist.py file and integrated its functionality into a new modular structure.
- Created a new ApiServer class to handle API routes and services.
- Introduced DistributedInferenceService and FileService for better separation of concerns.
- Updated the main entry point to initialize and run the new API server with distributed inference capabilities.
- Added schema definitions for task requests and responses to improve data handling.
- Enhanced error handling and logging throughout the services.

* refactor: enhance API structure and file handling in server

- Introduced APIRouter for modular route management in the ApiServer class.
- Updated task creation and file download endpoints to improve clarity and functionality.
- Implemented a new method for streaming file responses with proper MIME type handling.
- Refactored task request schema to auto-generate task IDs and handle optional video save paths.
- Improved error handling and logging for better debugging and user feedback.

* feat: add configurable parameters for video generation

- Introduced new parameters: infer_steps, target_video_length, and seed to the API and task request schema.
- Updated DefaultRunner and VideoGenerationService to handle the new parameters for enhanced video generation control.
- Improved default values for parameters to ensure consistent behavior.

* refactor: enhance profiling context for async support

* refactor: improve signal handling in API server

* feat: enhance video generation capabilities with audio support

* refactor: improve subprocess call for audio-video merging in wan_audio_runner.py

* refactor: enhance API server argument parsing and improve code readability

* refactor: enhance logging and improve code comments for clarity

* refactor: update response model for task listing endpoint to return a dictionary

* docs: update API endpoints and improve documentation clarity

* refactor: update API endpoints in scripts for task management and remove unused code

* fix: pre-commit

* add step & cfg distillation wan model

* bug fixed

* split dit server from default runner

* split dit server from default runner

* update loading functions

* simplify loader functions and runner functions

* simplify code && split dit service

* simplify code && split dit service

* support split server for cogvideox

* clear code.

* add load_transformer methods for split server

* add service utils

* [feature] support split servers

* [bugs fixed] fixed bugs for cpu offload.

* [rename] rename causal_model -> causvid_model

* [feature] add prompt enhancer

* [feature] add prompt enhancer

* [rename] rename causal_model -> causvid_model