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* 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.

* reconstruct quantization and fix memory leak bug.

* Support lazy load inference.

* reconstruct quantization

* Fix hunyuan bugs

* deleted tmp file

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Co-authored-by: root <root@pt-c0b333b3a1834e81a0d4d5f412c6ffa1-worker-0.pt-c0b333b3a1834e81a0d4d5f412c6ffa1.ns-devsft-3460edd0.svc.cluster.local>
Co-authored-by: gushiqiao <gushqiaio@sensetime.com>
Co-authored-by: gushiqiao <gushiqiao@sensetime.com>

* 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.

* support prompt enhancer server

* bugs fixed

* finished prompt enhancer service

* add load_transformer methods for split server

* add service utils

* [feature] support split servers

* [feature] add server for multi-gpus

* [update] update start parameters for multi-gpu servers

* [update] update start parameters for multi-gpu servers

* [update] update documents for multi-gpu services

* function hunyuan_t2v_tea, hunyuan_t2v_taylorseer, modify the fresh_threshold of taylorseer

* hunyuan i2v,t2v + tea,tay; wan i2v,t2v + tea function, add log files

* 删除了TeaCace Scheduler的多余属性

* 删除了多余目录

* 修复了TeaCaching部分的bug,目前t2v, i2v feature caching均可跑通

* Update attn_weight.py

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

adding a padding strategy for SP

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Co-authored-by: “de1star” <“843414674@qq.com”>

* Support load advance ptq model.

* Update run_wan_i2v_advanced_ptq.sh

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

* [feature]: add Wan Sparge infer

* Update scripts/run_wan_t2v_sparge.sh
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* [minor]: fix typo and use config style

* [minor]: remove breakpoint

* [feature]: add all attn class

* [minor]: remove args

* [minor]: remove shared weights

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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* [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

* [feature]: add support for Causvid inference

* [feature]: support long video generation for autoregressive wan2.1-t2v

* [feature]: support long video generation for autoregressive wan2.1-t2v

* Update wan_t2v_causal.json

* Update run_wan_t2v_causal.sh

* update readme for Wan2.1-T2V-CausVid

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