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Author SHA1 Message Date
Pierre Chapuis ae5ef4f14c make sure adapters can access the context of their parent chain 
https://github.com/finegrain-ai/refiners/issues/456
 2024-10-03 10:51:11 +02:00
Laurent 444882a734 move some tests into the adapters test folder
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2024-09-09 17:44:26 +02:00
ily-R 277b0fd837 ella adapter implementation. tested with sd1.5 model 2024-09-04 11:38:22 +02:00
Pierre Chapuis 2ba83f575e switch pytest import mode to importlib 
see:
https://docs.pytest.org/en/7.1.x/explanation/goodpractices.html#choosing-an-import-mode
https://docs.pytest.org/en/7.1.x/explanation/pythonpath.html#import-modes

This change fixes the SAM tests.
 2024-06-24 17:19:05 +02:00
Laurent 7e64ba4011 modify ip_adapter's CrossAttentionAdapters injection logic 2024-03-26 11:15:04 +01:00
Pierre Chapuis be2368cf20 ruff 3 formatting (Rye 0.28) 2024-03-08 10:42:05 +01:00
Cédric Deltheil 176807740b control_lora: fix adapter set scale 
The adapter set scale did not propagate the scale to the underlying
zero convolutions. The value set at CTOR time was used instead.

Follow up of #285
 2024-02-22 10:01:05 +01:00
Laurent 60c0780fe7 write StyleAligned inject/eject tests 2024-02-15 15:22:47 +01:00
Pierre Chapuis 37425fb609 make LoRA generic 2024-02-06 11:32:18 +01:00
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
Pierre Chapuis f4ed7254fa test IP adapter scale setter 2024-02-01 16:17:07 +01:00
Pierre Chapuis 8341d3a74b use float16, save memory 2024-02-01 16:17:07 +01:00
Pierre Chapuis d185711bc5 add tests based on repr for inject / eject 2024-02-01 16:17:07 +01:00
Pierre Chapuis 0e77ef1720 add inject / eject test for concept extender (+ better errors) 2024-02-01 16:17:07 +01:00
Pierre Chapuis 93270ec2d7 add inject / eject test for t2i adapter 2024-02-01 16:17:07 +01:00
limiteinductive 421da6a3b6 Load Multiple LoRAs with SDLoraManager 2024-01-23 14:12:03 +01:00
limiteinductive a1f50f3f9d refactor Lora LoraAdapter and the latent_diffusion/lora file 2024-01-18 16:27:38 +01:00
Cédric Deltheil 792a0fc3d9 run lint rules using latest isort settings 2023-12-11 11:58:43 +01:00
Pierre Chapuis 547a73e67a clarify the "adapting when a LoRA is injected" issue in tests 2023-09-06 11:49:55 +02:00
Pierre Chapuis 864937a776 support injecting several LoRAs simultaneously 2023-09-06 11:49:55 +02:00
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
Pierre Chapuis 1065dfe10b add empty __init__.py files to make pytest happy 
(otherwise it wants unique file basenames)
 2023-08-23 17:49:59 +02:00
Cédric Deltheil 48f674c433 initial commit 2023-08-04 15:28:41 +02:00