GitLab

* add step & cfg distillation wan model

* bug fixed

* 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>

* fix offload extra latency in the first step by pre-allocating pinned memory

* pre-commit

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

* async offload & context4debug

* offload ratio

* Merge branch 'main' into xinchi/fix_offload

* adding offload ratio

* pre-commit

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

* fix offload

* fix offload

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

* 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>

* 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>