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SD-CN-Animation
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best CN params preview

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Alexey Borsky 2023-05-12 02:40:13 +03:00
parent 46ae16e4cb
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2 changed files with 9 additions and 2 deletions
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@ -4,7 +4,9 @@ This project allows you to automate video stylization task using StableDiffusion
![sd-cn-animation ui preview](examples/ui_preview.png) ![sd-cn-animation ui preview](examples/ui_preview.png)
sd-cn-animation ui preview sd-cn-animation ui preview
Note: In vid2vid mode do not forget to activate any ControlNet model to achieve better results. Without it the resulting video might be quite choppy. I personally prefer to use 'hed' model with 0.65 control strength. **In vid2vid mode do not forget to activate ControlNet model to achieve better results. Without it the resulting video might be quite choppy.**
Here are CN parameters that seem to give the best results so far:
![sd-cn-animation cn params](examples/cn_settings.png)
### Video to Video Examples: ### Video to Video Examples:
@ -63,3 +65,8 @@ To install the extension go to 'Extensions' tab in [Automatic1111 web-ui](https:
* Fixed an issue with color drifting on some models. * Fixed an issue with color drifting on some models.
* Sampler type and sampling steps settings added to text2video mode. * Sampler type and sampling steps settings added to text2video mode.
* Added automatic resizing before processing with RAFT and FloweR models. * Added automatic resizing before processing with RAFT and FloweR models.
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## Last version changes: v0.9
* Issue #76 fixed.
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