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
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__init__.py	add empty __init__.py files to make pytest happy	2023-08-23 17:49:59 +02:00
test_adapter.py	make __getattr__ on Module return object, not Any	2024-02-06 11:32:18 +01:00
test_concept_extender.py	add tests based on repr for inject / eject	2024-02-01 16:17:07 +01:00
test_ip_adapter.py	test IP adapter scale setter	2024-02-01 16:17:07 +01:00
test_lora.py	make __getattr__ on Module return object, not Any	2024-02-06 11:32:18 +01:00
test_range_adapter.py	make __getattr__ on Module return object, not Any	2024-02-06 11:32:18 +01:00
test_t2i_adapter.py	use float16, save memory	2024-02-01 16:17:07 +01:00