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A first step at rewriting the 2015's consistency algo.

  • add alternative consistency algo (also faster)
  • auto skip install for our docker env
  • clean some discodiffusion legacy code (it's been a year :D)
  • add controlnet default main model (v1.5)

upd 21.05.2023:

  • add reference controlner (attention injection)
  • add reference mode and source image
  • skip flow preview generation if it fails
  • downgrade to torch v1.13 for colab hosted env
  • save schedules to settings before applying templates
  • keep pre-template settings in the GUI
  • add gui options to load settings, keep state on rerun/load from previous cells
  • fix schedules not kept on gui rerun
  • rename depth_source to cond_image_src to reflect it's actual purpose

Upd 22.05.2023 @ v0.13.10:

  • fix outer not defined error for reference
  • remove torch downgrade for colab
  • remove xformers for torch v2/colab
  • add sdp attention from AUTOMATIC1111 to replace xformers (for torch v2)

Upd 24.05.2023 @ v0.13.11:

  • fix reference controlnet infinite recursion loop

Upd 24.05.2023 @ v0.13.12:

  • fix prompt schedules not working with "0"-like keys

Upd 26.05.2023: available as a nightly build

Upd 30.05.2023 @ v0.13.13: fix for local torch v2 install

Upd 2.5.2023 Available for L tier

Upd 5.7.2023

  • fix torchmetrics version thx to tomatoslasher


Detailed changelog:
https://www.patreon.com/posts/83591344

Local install guide:
https://discord.com/channels/973802253204996116/1067887206125015153/1067888756910215278
https://github.com/Sxela/WarpFusion/blob/main/README.md

Tutorials:
https://youtu.be/HkM-7wxtkGA
https://www.youtube.com/watch?v=FxRTEILPCQQ
https://www.youtube.com/watch?v=wqXy_r_9qw8
https://www.youtube.com/watch?v=VMF7L0czyIg
https://www.youtube.com/watch?v=m8xaPnaooyg

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 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.

Comments

Roberth Moreno

hi Bro I'm having error when i run (Do the Run!) NameError: name 'unload' is not defined

Roberth Moreno

RuntimeError: CUDA out of memory. Tried to allocate 1.21 GiB (GPU 0; 8.00 GiB total capacity; 6.83 GiB already allocated; 0 bytes free; 7.32 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF with 3070ti 8gb can i do something for fix it ?

sxela

You need to really lower the settings for 8gb. Try 512x768, 1-2 controlnets. Restart runtime after oom error and run all (skip consistency and flow generation if you've already done it