ComfyUI AnimateDiff Guide Part 2 - Tutorial #stablediffusion #comfyui #animatediff

Second video of the series to know how to use AnimateDiff Evolved and all the options within the custom nodes.

Documentation and starting workflow to use in ComfyUI is available in:

#animatediff #comfyui #stablediffusion
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☁️ Starting in ComfyUI? Run it on the cloud without installation, very easy! ☁️

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In this video, we start reworking the old prompt travel template from AnimateDiff Evolved. Then, we look at the two main methods to have better control of AnimateDiff: ControlNet and IP Adapter.

We later continue with the exploration of the options of the Evolved Sampling node in AnimateDiff. Specifically, we look at all the possibilities of Context Options and View Options. By using them, we overcome the number of frame limitations of the Motion Modules of AnimateDiff. With Context Options, we can run smoother animations as long as we want (or the GPU allows us).

Within context options, we learn how the window length and overlap are used. Moreover, we look at more advanced settings like the fuse method, look at the differences between standard static, standard uniform and lopped uniform, the role of the stride and how to combine context options and view options.

In next videos we will further explore how to use sample settings and other tips and tricks to use AnimateDiff.

I hope you enjoy it!
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🔖Chapters
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00:00 Intro
00:32 Setting the workflow
01:56 Prompt travelling
03:40 AnimateDiff + ControlNet
06:16 Stylizing with low denoise
03:35 Using Generation 2 AnimateDiff
07:00 AnimateDiff + IP Adapter
10:05 Context Options: standard static
14:27 Context Options: standard uniform
19:15 Context Options: looped uniform
21:07 View Options

CREDITS
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🎵Music

✂️ Edited with Canva, and ClipChamp. I record the stuff in powerpoint.
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© 2024 Koala Nation
#comfyui #animatediff #stablediffusion

[PixelArt_YW]

Very cool and detailed tutorial! Wish there was a guide for advanced controlnet's weights too, thanks for your work!

[McConnahan]

All the love your way! You're beyond awesome❤❤❤

[kobe]

Thank you for making these Koala, much appreciated

[ziwoo]

Thank u so much, when will the next part be available?

[rkwybzh]

Hi, thanks again iam very thankful. About the context options, is there any best combination to use for best output? Tbh I didn't understand d technical part.

And I want to ask what do you recommend me to watch next, please :)

[erdbeerbus]

mmmm nice workflow and tutorial but I got this error:

Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!

my solution is "model = model.to(device)" but I dunno where I have to insert this ... thx in advance