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update deploy

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Co-authored-by: liuliang1 <liuliang1@sensetime.com>
Co-authored-by: qinxinyi <qinxinyi@sensetime.com>
Co-authored-by: Yang Yong(雍洋) <yongyang1030@163.com>

* update seko talk

* update

* Update configs

* update

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Co-authored-by: gushiqiao <975033167@qq.com>

* [Feat] audio driven for wan2.2-r2v-5b

* refactor: reduce vae args dim &&  timestep init

* update audio pre_infer

* update runner

* update scripts

* [Fix] move ref timestep padding to Scheduler

* fix wan i2v

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Co-authored-by: helloyongyang <yongyang1030@163.com>

* feature: support qwen-image-edit(i2i)

* bugfix

* feature: support qwen-image t2i

* pass ci

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Co-authored-by: wushuo1 <wushuo1@sensetime.com>

* 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

* 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

* Implement distributed inference API server with FastAPI

- Added a new file `api_server_dist.py` to handle video generation tasks using distributed inference.
- Introduced endpoints for task submission, status checking, and result retrieval.
- Implemented image downloading and task management with error handling.
- Enhanced `infer.py` to ensure proper initialization of distributed processes.
- Created a shell script `start_api_with_dist_inference.sh` for easy server startup with environment setup.

This commit establishes a robust framework for managing video generation tasks in a distributed manner.

* Enhance file download endpoint with path traversal protection and error handling

* style: format

* refactor: Enhance video generation functionality with task interruption support

* feat: Add image upload and video generation endpoint with unique task handling

- Introduced a new endpoint `/v1/local/video/generate_form` for video generation that accepts image uploads.
- Implemented unique filename generation for uploaded images to prevent conflicts.
- Enhanced directory management for input and output paths.
- Improved file download response with detailed status and size information.
- Added error handling for distributed inference processes and graceful shutdown procedures.