Commit Graph

301 Commits

Author SHA1 Message Date
Ryan Dick
3752509066 Expose the VAE tile_size on the VAE encode and decode invocations. 2024-07-02 09:07:03 -04:00
Ryan Dick
79640ba14e Add context manager for overriding VAE tiling params. 2024-07-02 09:07:03 -04:00
Ryan Dick
9a3b8c6fcb Fix handling of init_timestep in StableDiffusionGeneratorPipeline and improve its documentation. 2024-06-26 12:51:51 -04:00
Ryan Dick
bd74b84cc5 Revert "Remove the redundant init_timestep parameter that was being passed around. It is simply the first element of the timesteps array."
This reverts commit fa40061eca.
2024-06-26 12:51:51 -04:00
Ryan Dick
cd9dfefe3c Fix inpainting mask shape assertions. 2024-06-25 11:31:52 -07:00
Ryan Dick
e1af78c702 Make the tile_overlap input to MultiDiffusion *strictly* control the amount of overlap rather than being a lower bound. 2024-06-25 11:31:52 -07:00
Ryan Dick
c5588e1ff7 Add TODO comment explaining why some schedulers do not interact well with MultiDiffusion. 2024-06-25 11:31:52 -07:00
Ryan Dick
07ac292680 Consolidate _region_step() function - the separation wasn't really adding any value. 2024-06-25 11:31:52 -07:00
Ryan Dick
7c032ea604 (minor) Fix some documentation typos. 2024-06-25 11:31:52 -07:00
Ryan Dick
fa40061eca Remove the redundant init_timestep parameter that was being passed around. It is simply the first element of the timesteps array. 2024-06-25 11:31:52 -07:00
Ryan Dick
25067e4f0d Delete rough notes. 2024-06-25 11:31:52 -07:00
Ryan Dick
fb0aaa3e6d Fix advanced scheduler behaviour in MultiDiffusionPipeline. 2024-06-25 11:31:52 -07:00
Ryan Dick
c22526b9d0 Fix handling of stateful schedulers in MultiDiffusionPipeline. 2024-06-25 11:31:52 -07:00
Ryan Dick
c881882f73 Connect TiledMultiDiffusionDenoiseLatents to the MultiDiffusionPipeline backend. 2024-06-25 11:31:52 -07:00
Ryan Dick
36473fc52a Remove regional conditioning logic from MultiDiffusionPipeline - it is not yet supported. 2024-06-25 11:31:52 -07:00
Ryan Dick
b9964ecc4a Initial (untested) implementation of MultiDiffusionPipeline. 2024-06-25 11:31:52 -07:00
Ryan Dick
051af802fe Remove inpainting support from MultiDiffusionPipeline. 2024-06-25 11:31:52 -07:00
Ryan Dick
3ff2e558d9 Remove IP-Adapter and T2I-Adapter support from MultiDiffusionPipeline. 2024-06-25 11:31:52 -07:00
Ryan Dick
fc187c9253 Document plan for the rest of the MultiDiffusion implementation. 2024-06-25 11:31:52 -07:00
Ryan Dick
605f460c7d Add detailed docstring to latents_from_embeddings(). 2024-06-25 11:31:52 -07:00
Ryan Dick
60d1e686d8 Copy StableDiffusionGeneratorPipeline as a starting point for a new MultiDiffusionPipeline. 2024-06-25 11:31:52 -07:00
Ryan Dick
22704dd542 Simplify handling of inpainting models. Improve the in-code documentation around inpainting. 2024-06-25 11:31:52 -07:00
Ryan Dick
875673c9ba Minor tidying of latents_from_embeddings(...). 2024-06-25 11:31:52 -07:00
Ryan Dick
f604575862 Consolidate latents_from_embeddings(...) and generate_latents_from_embeddings(...) into a single function. 2024-06-25 11:31:52 -07:00
Ryan Dick
60ac937698 Improve clarity of comments regarded when 'noise' and 'latents' are expected to be set. 2024-06-25 11:31:52 -07:00
Ryan Dick
1e41949a02 Fix static check errors on imports in diffusers_pipeline.py. 2024-06-25 11:31:52 -07:00
Ryan Dick
5f0e330ed2 Remove a condition for handling inpainting models that never resolves to True. The same logic is already applied earlier by AddsMaskLatents. 2024-06-25 11:31:52 -07:00
Ryan Dick
9dd779b414 Add clarifying comment to explain why noise might be None in latents_from_embedding(). 2024-06-25 11:31:52 -07:00
Ryan Dick
fa183025ac Remove unused are_like_tensors() function. 2024-06-25 11:31:52 -07:00
Ryan Dick
d3c85aa91a Remove unused StableDiffusionGeneratorPipeline.use_ip_adapter member. 2024-06-25 11:31:52 -07:00
Ryan Dick
82619602a5 Remove unused StableDiffusionGeneratorPipeline.control_model. 2024-06-25 11:31:52 -07:00
Ryan Dick
196f3b721d Stricter typing for the is_gradient_mask: bool. 2024-06-25 11:31:52 -07:00
Ryan Dick
244c28859d Fix typing of control_data to reflect that it can be None. 2024-06-25 11:31:52 -07:00
Ryan Dick
40ae174c41 Fix typing of timesteps and init_timestep. 2024-06-25 11:31:52 -07:00
Ryan Dick
afaebdf151 Fix typing to reflect that the callback arg to latents_from_embeddings is never None. 2024-06-25 11:31:52 -07:00
Ryan Dick
d661517d94 Move seed above optional params. 2024-06-25 11:31:52 -07:00
Ryan Dick
82a69a54ac Simplify handling of AddsMaskGuidance, and fix some related type errors. 2024-06-25 11:31:52 -07:00
Ryan Dick
ffc28176fe Remove unused num_inference_steps. 2024-06-25 11:31:52 -07:00
Ryan Dick
d08e405017 Fix ControlNetModel type hint import source. 2024-06-25 11:31:52 -07:00
blessedcoolant
da61396b1c cleanup: seamless unused older code cleanup 2024-05-13 08:11:08 +10:00
blessedcoolant
6c9fb617dc fix: fix seamless 2024-05-13 08:11:08 +10:00
blessedcoolant
39ab4dd83e Merge branch 'main' into pr/6086 2024-05-01 00:37:06 +05:30
blessedcoolant
6bab040d24 Merge branch 'main' into ip-adapter-style-comp 2024-04-16 21:14:06 +05:30
blessedcoolant
f46bbaf8c4 fix: make ip-adapter weights not be optional 2024-04-16 21:12:45 +05:30
blessedcoolant
d27907cc6d fix: entire reshaping block needs to be skipped 2024-04-16 04:29:53 +05:30
blessedcoolant
7ee3fef2db cleanup: better var names for the ip adapter weight collection block 2024-04-16 04:23:50 +05:30
blessedcoolant
a148c4322c fix: IP Adapter weights being incorrectly applied
They were being overwritten rather than being appended
2024-04-16 04:10:41 +05:30
blessedcoolant
5f6c6abf9c chore: change IPAdapterAttentionWeights to a dataclass 2024-04-15 23:38:55 +05:30
Lincoln Stein
e93f4d632d
[util] Add generic torch device class (#6174)
* introduce new abstraction layer for GPU devices

* add unit test for device abstraction

* fix ruff

* convert TorchDeviceSelect into a stateless class

* move logic to select context-specific execution device into context API

* add mock hardware environments to pytest

* remove dangling mocker fixture

* fix unit test for running on non-CUDA systems

* remove unimplemented get_execution_device() call

* remove autocast precision

* Multiple changes:

1. Remove TorchDeviceSelect.get_execution_device(), as well as calls to
   context.models.get_execution_device().
2. Rename TorchDeviceSelect to TorchDevice
3. Added back the legacy public API defined in `invocation_api`, including
   choose_precision().
4. Added a config file migration script to accommodate removal of precision=autocast.

* add deprecation warnings to choose_torch_device() and choose_precision()

* fix test crash

* remove app_config argument from choose_torch_device() and choose_torch_dtype()

---------

Co-authored-by: Lincoln Stein <lstein@gmail.com>
2024-04-15 13:12:49 +00:00
blessedcoolant
8426f1e7b2 fix(experimental): Possible fix for conflict with regional embed length mismatch
Pushing this so people can test it out and see if this needs to be handled in a different way.
2024-04-14 12:19:19 +05:30