Commit Graph

296 Commits

Author SHA1 Message Date
Brandon Rising
1047584b3e Only import bnb quantize file if bitsandbytes is installed 2024-08-26 20:17:50 -04:00
Ryan Dick
a0bf20bcee Run FLUX VAE decoding in the user's preferred dtype rather than float32. Tested, and seems to work well at float16. 2024-08-26 20:17:50 -04:00
Ryan Dick
1c1f2c6664 Add comment about incorrect T5 Tokenizer size calculation. 2024-08-26 20:17:50 -04:00
maryhipp
34451e5f27 added FLUX dev to starter models 2024-08-26 20:17:50 -04:00
Brandon Rising
c27d59baf7 Run ruff 2024-08-26 20:17:50 -04:00
maryhipp
e210c96485 add FLUX schnell starter models and submodels as dependenices or adhoc download options 2024-08-26 20:17:50 -04:00
maryhipp
5f567f41f4 add case for clip embed models in probe 2024-08-26 20:17:50 -04:00
Brandon Rising
72398350b4 More flux loader cleanup 2024-08-26 20:17:50 -04:00
Brandon Rising
df9445c351 Various styling and exception type updates 2024-08-26 20:17:50 -04:00
Brandon Rising
87b7a2e39b Switch inheritance class of flux model loaders 2024-08-26 20:17:50 -04:00
Brandon Rising
57168d719b Fix styling/lint 2024-08-26 20:17:50 -04:00
Brandon Rising
dee6d2c98e Fix support for 8b quantized t5 encoders, update exception messages in flux loaders 2024-08-26 20:17:50 -04:00
Ryan Dick
0c5e11f521 Fix FLUX output image clamping. And a few other minor fixes to make inference work with the full bfloat16 FLUX transformer model. 2024-08-26 20:17:50 -04:00
Brandon Rising
a63f842a13 Select dev/schnell based on state dict, use correct max seq len based on dev/schnell, and shift in inference, separate vae flux params into separate config 2024-08-26 20:17:50 -04:00
Brandon Rising
4bd7fda694 Install sub directories with folders correctly, ensure consistent dtype of tensors in flux pipeline and vae 2024-08-26 20:17:50 -04:00
Brandon Rising
81f0886d6f Working inference node with quantized bnb nf4 checkpoint 2024-08-26 20:17:50 -04:00
Brandon Rising
723f3ab0a9 Add nf4 bnb quantized format 2024-08-26 20:17:50 -04:00
Brandon Rising
1bd90e0fd4 Run ruff, setup initial text to image node 2024-08-26 20:17:50 -04:00
Brandon Rising
436f18ff55 Add backend functions and classes for Flux implementation, Update the way flux encoders/tokenizers are loaded for prompt encoding, Update way flux vae is loaded 2024-08-26 20:17:50 -04:00
Brandon Rising
9ed53af520 Run Ruff 2024-08-26 20:17:50 -04:00
Brandon Rising
56fda669fd Manage quantization of models within the loader 2024-08-26 20:17:50 -04:00
Brandon Rising
5f59a828f9 Setup flux model loading in the UI 2024-08-26 20:17:50 -04:00
Ryan Dick
0b77511271 Update HF download logic to work for black-forest-labs/FLUX.1-schnell. 2024-08-26 20:17:50 -04:00
blessedcoolant
4f8a4b0f22 Merge branch 'main' into depth_anything_v2 2024-08-03 00:38:57 +05:30
Ryan Dick
b9dc3460ba Rename SegmentAnythingModel -> SegmentAnythingPipeline. 2024-08-01 09:57:47 -04:00
Ryan Dick
fca119773b Split invokeai/backend/image_util/segment_anything/ dir into grounding_dino/ and segment_anything/ 2024-07-31 12:28:47 -04:00
blessedcoolant
b4cf78a95d fix: make DA Pipeline a subclass of RawModel 2024-07-31 21:14:49 +05:30
Ryan Dick
9f448fecb7 Move invokeai/backend/grounded_sam -> invokeai/backend/image_util/grounded_sam 2024-07-31 10:00:30 -04:00
blessedcoolant
18f89ed5ed fix: Make DepthAnything work with Invoke's Model Management 2024-07-31 03:57:54 +05:30
Ryan Dick
ff6398f7d8 Add a GroundedSamInvocation for image segmentation from a text prompt (Grounding DINO + Segment Anything Model). 2024-07-30 11:12:26 -04:00
psychedelicious
102b47190f feat(ui): update qr code cnet starter model
- For SD1.5, use the new V2 version
- Add the SDXL version
2024-07-26 13:34:32 +10:00
psychedelicious
74cef38bcf fix(backend): add refiner to single-file load_classes
Fixes single-file refiner loading.
2024-07-26 05:08:01 +10:00
Lincoln Stein
633bbb4e85
[MM2] Use typed ModelRecordChanges for model_install() rather than untyped dict (#6645)
* [MM2] replace untyped config dict passed to install_model with typed ModelRecordChanges

- adjusted frontend to work with new schema
- used this facility to assign "starter model" names and descriptions to the installed
  models.

* documentation fix

* [MM2] replace untyped config dict passed to install_model with typed ModelRecordChanges

- adjusted frontend to work with new schema
- used this facility to assign "starter model" names and descriptions to the installed
  models.

* documentation fix

* remove v9 pnpm lockfile

* [MM2] replace untyped config dict passed to install_model with typed ModelRecordChanges

- adjusted frontend to work with new schema
- used this facility to assign "starter model" names and descriptions to the installed
  models.

* [MM2] replace untyped config dict passed to install_model with typed ModelRecordChanges

- adjusted frontend to work with new schema
- used this facility to assign "starter model" names and descriptions to the installed
  models.

* remove v9 pnpm lockfile

* regenerate schema.ts

* prettified

---------

Co-authored-by: Lincoln Stein <lstein@gmail.com>
2024-07-23 21:41:00 +00:00
Mary Hipp
930ff559e4 add sdxl tile to starter models 2024-07-19 16:49:33 -04:00
Lincoln Stein
97a7f51721
don't use cpu state_dict for model unpatching when executing on cpu (#6631)
Co-authored-by: Lincoln Stein <lstein@gmail.com>
2024-07-18 15:34:01 -04:00
Ryan Dick
f866b49255 Add some ESRGAN and SwinIR upscale models to the starter models list. 2024-07-16 15:55:10 -04:00
Ryan Dick
81991e072b Merge branch 'main' into ryan/spandrel-upscale 2024-07-16 15:14:08 -04:00
psychedelicious
38343917f8 fix(backend): revert non-blocking device transfer
In #6490 we enabled non-blocking torch device transfers throughout the model manager's memory management code. When using this torch feature, torch attempts to wait until the tensor transfer has completed before allowing any access to the tensor. Theoretically, that should make this a safe feature to use.

This provides a small performance improvement but causes race conditions in some situations. Specific platforms/systems are affected, and complicated data dependencies can make this unsafe.

- Intermittent black images on MPS devices - reported on discord and #6545, fixed with special handling in #6549.
- Intermittent OOMs and black images on a P4000 GPU on Windows - reported in #6613, fixed in this commit.

On my system, I haven't experience any issues with generation, but targeted testing of non-blocking ops did expose a race condition when moving tensors from CUDA to CPU.

One workaround is to use torch streams with manual sync points. Our application logic is complicated enough that this would be a lot of work and feels ripe for edge cases and missed spots.

Much safer is to fully revert non-locking - which is what this change does.
2024-07-16 08:59:42 +10:00
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
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