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6 commits

Author SHA1 Message Date
Pierre Chapuis 471ef91d1c make __getattr__ on Module return object, not Any
PyTorch chose to make it Any because they expect its users' code
to be "highly dynamic": https://github.com/pytorch/pytorch/pull/104321

It is not the case for us, in Refiners having untyped code
goes contrary to one of our core principles.

Note that there is currently an open PR in PyTorch to
return `Module | Tensor`, but in practice this is not always
correct either: https://github.com/pytorch/pytorch/pull/115074

I also moved Residuals-related code from SD1 to latent_diffusion
because SDXL should not depend on SD1.
2024-02-06 11:32:18 +01:00
Cédric Deltheil 792a0fc3d9 run lint rules using latest isort settings 2023-12-11 11:58:43 +01:00
Pierre Chapuis d389d11a06 make basic adapters a part of Fluxion 2023-09-01 17:29:48 +02:00
Pierre Chapuis 31785f2059 scope range adapter in latent diffusion 2023-09-01 17:29:48 +02:00
Pierre Chapuis 0f476ea18b make high-level adapters Adapters
This generalizes the Adapter abstraction to higher-level
constructs such as high-level LoRA (targeting e.g. the
SD UNet), ControlNet and Reference-Only Control.

Some adapters now work by adapting child models with
"sub-adapters" that they inject / eject when needed.
2023-08-31 10:57:18 +02:00
Cédric Deltheil 48f674c433 initial commit 2023-08-04 15:28:41 +02:00