Commit Graph
17 Commits
Author SHA1 Message Date
kijai 97da701379 Fix DF sampler 2025-08-11 18:46:46 +03:00
kijai 7c93aea182 rename fp8 optimization in code for clarity as it does more than that with loras 2025-08-11 14:32:57 +03:00
kijai 48fa904ad8 fp8 matmul for scaled models
Fp8 matmul (fp8_fast) doesn't seem feasible with unmerged LoRAs as you'd need to first upcast, then apply LoRA, then downcast back to fp8 and that is too slow. Direct adding in fp8 is also not possible since that's just not something fp8 dtypes support.
2025-08-09 10:17:11 +03:00
kijai 9edab74562 Default non_blocking to False
too many RAM issues
2025-08-01 02:29:07 +03:00
kijai 3567202e75 Fix compile and support radial attn in the DF sampler 2025-07-27 14:19:31 +03:00
kijai c08296747f more refactoring 2025-07-18 16:31:34 +03:00
kijai 6bc53b771d refactor scheduler import 2025-07-17 15:56:55 +03:00
kijai ad43eed0d0 Add MagCache and consolidate cache_args to support both
Not really getting great results yet with MagCache, but at least pretty much on bar with TeaCache so it can be an option that hopefully improves in time
2025-06-13 12:31:13 +03:00
kijai ef40577b70 fixes 2025-05-30 12:29:38 +03:00
kijai 031d8ac817 disable enhance always with DF 2025-04-25 15:47:25 +03:00
kijai 6fadcbd957 Support Phantom, refactor model dtypes, reduce DF model memory use 2025-04-22 21:13:27 +03:00
kijai 6ba7bc811e Update nodes.py 2025-04-22 02:05:08 +03:00
kijai f93e54d21b Allow unianimate with DF 2025-04-22 01:01:22 +03:00
kijai e3ea2bf392 Allow VACE with DF 2025-04-21 20:01:20 +03:00
kijai 884069121f Fix latent preview fallback if disabled 2025-04-21 19:11:16 +03:00
kijai f371c0a736 Allow TeaCache for DF
Guess it works
2025-04-21 18:30:40 +03:00
kijai 65f5505fca Initial Skyreels DiffusionForcing model support
On it's own sampler at least for now while I figure out how it all works.
2025-04-21 18:13:51 +03:00