This is an automated archive made by the Lemmit Bot.

The original was posted on /r/stablediffusion by /u/throttlekitty on 2024-11-19 19:09:50+00:00.

notes for this update:

This is big one, and unfortunately to do the necessary cleanup and refactoring this will break every old workflow as they are. I apologize for the inconvenience, if I don’t do this now I’ll keep making it worse until maintaining becomes too much of a chore, so from my pov there was no choice.

Please either use the new workflows or fix the nodes in your old ones before posting issue reports!

Old version will be kept in a legacy branch, but not maintained

• Support CogVideoX 1.5 models
• Major code cleanup (it was bad, still isn’t great, wip)
• Merge Fun -model functionality into main pipeline:
  • All Fun specific nodes, besides image encode node for Fun -InP models are gone
  • Main CogVideo Sampler works with Fun models
  • DimensionX LoRAs now work with Fun models as well
• Remove width/height from the sampler widgets and detect from input instead, this meanst text2vid now requires using empty latents
• Separate VAE from the model, allow using fp32 VAE
• Add ability to load some of the non-GGUF models as single files (only few available for now: )
• Add some torchao quantizations as options
• Add interpolation as option for the main encode node, old interpolation specific node is gone
• torch.compile optimizations
• Remove PAB in favor of FasterCache and cleaner code
• other smaller things I forgot about at this point

For Fun -model based workflows it’s more drastic change, for others migrating generally means re-setting many of the nodes.