Teacache Caching:提速200%，质量无损秘诀！ | Speed Boost 200%, No Quality Loss Secrets!

🔥还在为ComfyUI生成视频或图片耗时过长而苦恼吗？本期视频将深入解析DIT模型加速的最新技术--Teacache！它通过智能缓存技术，让HunYuan、LTX、Flux等大模型在ComfyUI中实现2-3倍的生成速度提升，并且几乎不损失最终作品的质量。本视频将结合实际案例，详解Teacache的技术原理、安装使用方法以及参数调整技巧，助你告别等待，畅享高效AI创作！
🔥Are you still struggling with the time-consuming process of generating videos or images in ComfyUI? This video will delve into the latest technology for DIT model acceleration - Teacache! Through intelligent caching technology, it enables 2-3X speed boost for large models like HunYuan, LTX, and Flux in ComfyUI, with almost no loss in the final product's quality. This video will combine practical examples to detail the technical principles, installation and usage, and parameter adjustment skills of Teacache, helping you say goodbye to waiting and enjoy efficient AI creation!
🎬 你将学到：
1 Teacache技术原理：智能缓存，减少重复计算，优化扩散过程。
2 Teacache与传统加速方法的区别：蒸馏、量化、缓存，优劣势对比。
3 ComfyUI中Teacache插件的安装与使用步骤，无需额外模型，简单便捷。
4 针对HunYuan、LTX、Flux不同模型的加速效果实测，包括速度与质量的对比。
5 详细解读Teacache核心参数，如theta值，以及如何根据模型特点进行调整。
6 Teacache在LORA模型下的应用与加速表现，并分析LORA对生成质量的影响。
🎬 You'll learn:
1 Teacache technical principles: intelligent caching, reducing redundant calculations and optimizing the diffusion process.
2 The difference between Teacache and traditional acceleration methods: distillation, quantization, and caching, with a comparison of their advantages and disadvantages.
3 Installation and usage steps for the Teacache plugin in ComfyUI, no additional models are required, simple and convenient.
4 Actual test of the acceleration effects for different models such as HunYuan, LTX, and Flux, including a comparison of speed and quality.
5 Detailed explanation of core Teacache parameters, such as the theta value, and how to adjust them based on model characteristics.
6 Application of Teacache with LORA models and its accelerated performance, analyzing the impact of LORA on generation quality
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teacache
github.com/ali...
comfyUI-teacache
github.com/wel...
工作流 workflow download：
github.com/ama...
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[@sensam6778]

前几天也看到了相关技术，今天就出视频，效率真高😀

[@sunleyan_2021]

谢谢支持

[@crypto6749]

太棒了!!!

[@sunleyan_2021]

@@crypto6749 谢谢支持

[@Rhythmillumination-y1c]

大佬。云端部署中的TeaCache For Vid Gen跟双CLIP加载器显示红框，该怎么解决

[@tonykeane9590]

can teacache combining with wavespeed ?

[@sunleyan_2021]

不可以，teacache和wavespeed本身时同一机制，一个用输入差异作为标准优化缓存，一个用transformer的第一个残差块的输出优化缓存

[@NeoAnifuture]

​@@sunleyan_2021 可以编译了 更新后 打开节点文件夹的 examples 文件夹, 里面有工作流 , It can be compiled. After updating, open the examples folder of the node folder. There is a workflow in it.

[@zhengzhang-iu1pe]

大哥 你下载的混元lora训练的ckpts包多少G 为什么civitai上的链接32G 你视频里说的是7G左右呢

[@sunleyan_2021]

他那个时带完整模型的，我这个下载完之后还得下载模型

[@zhengzhang-iu1pe]

@@sunleyan_2021 谢谢！

[@laughing哥]

teacache无法设置采样步数，只有model-type,rel-l1-thresh,只有2行，我看视频里你有开关和步数，我为什么没有

[@sunleyan_2021]

@@laughing哥 teacache可以设置采样步数，看看是不是用的扩展不一样，或者你没有更新到最新版

[@laughing哥]

ComfyUI-TeaCache这个我是按照你这个第二个链接手动安装的，第一个链接无法安装，视频里你也没有说第一链接是干嘛的 也没有安装说明，所以只能装第二个

[@laughing哥]

ali-vilab/TeaCache这个没有安装，你视频也没说怎么安装，是不是因为这样，我才没有步数？

[@wzr9059]

有个加速部分显卡能快10倍

[@sunleyan_2021]

那就厉害了

[@TBBTguo]

wavespeed的效率比teacache高，平均快十几秒。

[@sunleyan_2021]

wavespeed是受teacache的启发进行改进的技术，效率要稍好一些