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Changelog:

  • add FreeU Hack from https://huggingface.co/papers/2309.11497
  • add option to apply FreeU before or after controlnet outputs
  • add inpaint-softedge and temporal-depth controlnet models
  • auto-download inpaint-softedge and temporal-depth checkpoints
  • fix sd21 lineart model not working
  • refactor get_controlnet_annotations a bit
  • add inpaint-softedge and temporal-depth controlnet preprocessors

6.10.2023, v0.24.1:

  • fix controlnet preview (next_frame error)
  • fix dwpose 'final_boxes' error for frames with no people
  • move width_height to video init cell to avoid people forgetting to run it to update width_height

14.10.2023, v0.24.2:

  • fix xformers version

14.10.2023, v0.24.3:

  • fix flow preview error for fewer than 10 frames

16.10.2023, v0.24.5:

  • fix pillow errors (UnidentifiedImageError: cannot identify image file)
  • fix timm import error (isDirectory error)
  • deprecate v2_depth model (use depth controlnet instead)

20.10.2023, v0.24.6:

  • fix pytorch dependencies error
  • fix zoe depth error
  • move installers to github repo
  • move to L tier

1.12.2023

  • move to M tier


FreeU

GUI - misc - apply_freeu_after_control, do_freeunet

This hack lowers the effect of stablediffusion unet residual skip-connections, prioritizing the core concepts in the image over low-frequency details. As you can see in the video, with FreeU on the image seems less cluttered, but still has enough high-frequency details. apply_freeu_after_control applies the hack after getting input from controlnets, which for me was producing a bit worse results.

Inpaint-softedge controlnet

I've experimented with mixed-input controlnets. This works the same way inpaint controlnet does + it uses softedge input for the inpainted area, so it relies not only on the masked area surroundings, but also on softedge filter output for the masked area, which gives a little more control.

Temporal-depth controlnet

This one takes previous frame + current frame depth + next frame depth as its inputs

Those controlnets are experimental, and you can try replacing some controlnet pairs with them, like replace depth with temporal-depth, or replace inpaint with inpaint-softedge

Local install guide:
https://github.com/Sxela/WarpFusion/blob/main/README.md

Guides made by users:

YouTube playlist with settings:
https://www.youtube.com/watch?v=wvvcWm4Snmc&list=PL2cEnissQhlCUgjnGrdvYMwUaDkGemLGq

For tech support and other questions please join our discord server:
https://discord.gg/YrpJRgVcax

Discord is the preferred method because it is nearly impossible to provide any decent help or tech support via Patreon due to its limited text formatting and inability to add screenshots or videos to comments or DMs.
Error reports in comments will be deleted and reposted in Discord.

Files

Warhammer Adepta Sororitas - Some Herecy, AI filter

StableWarpFusion v0.24.0 FreeU comparison: off (left) vs on (right) Source video by Medkova Lana Settings: https://github.com/Sxela/WarpFusion/blob/main/examples/stable_warpfusion_0.23.0(117)_settings.txt https://github.com/Sxela/WarpFusion/blob/main/examples/stable_warpfusion_0.23.0(118)_settings.txt

Comments

Alan Huang

Hi, I just join this group and wanna to have local install, but it seems the resource is about colab which I don't quite familiar with it, where I can find the resource? thanks.

FM

If you're getting xformers error on colab about cuda version mismatch: Google colab env has been updated (their cuda version was bumped from 11.8 to 12.1), so we need to update our dependencies upd: fix for versions 0.20 and newer is out, no extra actions needed, just run it like you did before (may need to disconnect and delete current runtime if you're already running) A quick question please does any of these versions contain the fix?