Commit Graph

1636 Commits

Author SHA1 Message Date
Ryan Dick
650902dc29 Fix broken unit test caused by non-existent model path. 2024-07-10 13:59:17 -04:00
Ryan Dick
7b5d4935b4 Merge branch 'main' into ryan/spandrel-upscale 2024-07-09 13:47:11 -04:00
Ryan Dick
af63c538ed Demote error log to warning to models treated as having size 0. 2024-07-09 08:35:43 -04:00
Ryan Dick
0ce6ec634d Do not assign the result of SpandrelImageToImageModel.load_from_file(...) during probe to ensure that the model is immediately gc'd. 2024-07-05 14:05:12 -04:00
Ryan Dick
35f8781ea2 Fix static type errors with SCHEDULER_NAME_VALUES. And, avoid bi-directional cross-directory imports, which contribute to circular import issues. 2024-07-05 07:38:35 -07:00
Ryan Dick
36202d6d25 Delete unused duplicate libc_util.py file. The active version is at invokeai/backend/model_manager/libc_util.py. 2024-07-04 10:30:40 -04:00
Ryan Dick
1d449097cc Apply ruff rule to disallow all relative imports. 2024-07-04 09:35:37 -04:00
Ryan Dick
9da5925287 Add ruff rule to disallow relative parent imports. 2024-07-04 09:35:37 -04:00
Ryan Dick
414750a45d Update calc_model_size_by_data(...) to handle all expected model types, and to log an error if an unexpected model type is received. 2024-07-04 09:08:25 -04:00
Ryan Dick
a405f14ea2 Fix SpandrelImageToImageModel size calculation for the model cache. 2024-07-03 16:38:16 -04:00
Ryan Dick
114320ee69 (minor) typo 2024-07-03 16:28:21 -04:00
Ryan Dick
6161aa73af Move pil_to_tensor() and tensor_to_pil() utilities to the SpandrelImageToImage class. 2024-07-03 16:28:21 -04:00
Ryan Dick
1ab20f43c8 Tidy spandrel model probe logic, and document the reasons behind the current implementation. 2024-07-03 16:28:21 -04:00
Ryan Dick
29c8ddfb88 WIP - A bunch of boilerplate to support Spandrel Image-to-Image models throughout the model manager and the frontend. 2024-07-03 16:28:21 -04:00
Ryan Dick
95079dc7d4 Use a ModelIdentifierField to identify the spandrel model in the UpscaleSpandrelInvocation. 2024-07-03 16:28:21 -04:00
Ryan Dick
2a1514272f Set the dtype correctly for SpandrelImageToImageModels when they are loaded. 2024-07-03 16:28:21 -04:00
Ryan Dick
59ce9cf41c WIP - Begin to integrate SpandreImageToImageModel type into the model manager. 2024-07-03 16:28:21 -04:00
Ryan Dick
e6abea7bc5 (minor) Remove redundant else clause on a for-loop with no break statement. 2024-07-03 16:28:21 -04:00
Ryan Dick
c335f92345 (minor) simplify startswith(...) syntax. 2024-07-03 16:28:21 -04:00
Ryan Dick
e4813f800a Update calc_model_size_by_data(...) to handle all expected model types, and to log an error if an unexpected model type is received. 2024-07-02 21:51:45 -04:00
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
Kent Keirsey
5df2a79549 Update starter models 2024-06-28 17:49:45 +10:00
Kent Keirsey
10b9088312 update controlnet starter models 2024-06-28 17:49:45 +10:00
Lincoln Stein
3e0fb45dd7
Load single-file checkpoints directly without conversion (#6510)
* use model_class.load_singlefile() instead of converting; works, but performance is poor

* adjust the convert api - not right just yet

* working, needs sql migrator update

* rename migration_11 before conflict merge with main

* Update invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py

Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>

* Update invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py

Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>

* implement lightweight version-by-version config migration

* simplified config schema migration code

* associate sdxl config with sdxl VAEs

* remove use of original_config_file in load_single_file()

---------

Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
2024-06-27 17:31:28 -04:00
Ryan Dick
14775cc9c4 ruff format 2024-06-27 09:45:13 -04:00
psychedelicious
c7562dd6c0
fix(backend): mps should not use non_blocking
We can get black outputs when moving tensors from CPU to MPS. It appears MPS to CPU is fine. See:
- https://github.com/pytorch/pytorch/issues/107455
- https://discuss.pytorch.org/t/should-we-set-non-blocking-to-true/38234/28

Changes:
- Add properties for each device on `TorchDevice` as a convenience.
- Add `get_non_blocking` static method on `TorchDevice`. This utility takes a torch device and returns the flag to be used for non_blocking when moving a tensor to the device provided.
- Update model patching and caching APIs to use this new utility.

Fixes: #6545
2024-06-27 19:15:23 +10:00
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
Brandon Rising
dc23bebebf Run ruff 2024-06-26 21:46:59 +10:00
Kent Keirsey
38b6f90c02 Update prevention exception message 2024-06-26 21:46:59 +10:00
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