1) Video Tutorial :  https://youtu.be/qczh3caLZ8o  

2) Documented Tutorial :  https://www.patreon.com/posts/update-v2-1-lcm-95056616.

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3) Render Video with Sound :  https://youtube.com/shorts/GhVfdrsKCKw .

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What this workflow does

This workflow can convert any (cartoon/realistic/anime) video into another (Cartoon/Realistic/Anime) video.

Make stylize videos, Render 3D concepts, Convert Anime to Realistic, Make Abstract Animations, It’s application are limitless, as control passes can be generated through any 3D or 2D software as well.

*This workflow use “batch2batch” processing so any video length duration can be made or converted.

How to use this workflowThis workflow utilized “only the ControlNet images” from external source which are already pre-rendered before hand in Part 1 of this workflow  which saves GPU’s memory and skips the Loading time for controlnet (2-5 second每帧延迟）节省了很多tIME用于制作最终动画。可以为任何东西，人类，动物，汽车，自然，抽象事物，甚至从3D CG渲染中创建通行证，这项新技术为全新的渲染技术打开了大门。作为3D艺术家，这项技术可以最大程度地减少质量的质量输出，并且只能达到良好的质量输出，并且只能达到时间。 style =“ text-align：start”> 1）选择要使用的模型检查点

2）输入输出图像的宽度和高度

3）选择积极的提示，“启动”提示，您想在输出中看到uptut>

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start> 4）> 4） not)

5) Paste the Passes Directories in ControlNets (1 and 2) Loaders and set their models and weight (See Neon Purple note)

6) Paste The Directory where you want to save the Images in the Output Save Directory Node

7) Select Batch Range (Number of images you want to render in one Queue)

8) Choose LCM Settings, Default is good but experimental (See note)

9) After every batch you can increase the batch naming for organizing the batches.

10）在每个队列都将跳过框架增加到已经呈现的图像总数后。

11）在将所有批次呈现为[Part 3] refiner Workflow

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