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Author SHA1 Message Date
hugojarkoff c6b5eb24a1 Add logits comparison for base SAM in single mask output prediction mode 2024-03-21 10:48:48 +01:00
limiteinductive 38c86f59f4 Switch gradient clipping to native torch torch.nn.utils.clip_grad_norm_ 2024-03-19 22:08:48 +01:00
Pierre Colle 68fe725767 Add multimask_output flag to SAM 2024-03-19 17:40:26 +01:00
limiteinductive 6a72943ff7 change TimeValue to a dataclass 2024-03-19 14:49:24 +01:00
Pierre Chapuis 5d784bedab add test for "Adapting SDXL" guide 2024-03-08 15:43:57 +01:00
Pierre Chapuis 72fa17df48 fix slider loras test 2024-03-08 15:43:57 +01:00
Pierre Chapuis 8c7fcbc00f LoRA manager: move exclude / include to add_loras call 
Always exclude the TimestepEncoder by default.
This is because some keys include both e.g. `resnet` and `time_emb_proj`.

Preprocess blocks that tend to mix up with others in a separate
auto_attach call.
 2024-03-08 15:43:57 +01:00
Pierre Chapuis 052a20b897 remove add_multiple_loras 2024-03-08 15:43:57 +01:00
Pierre Chapuis c383ff6cf4 fix DPO LoRA loading in tests 2024-03-08 15:43:57 +01:00
Pierre Chapuis 1eb71077aa use same scale setter / getter interface for all controls 2024-03-08 11:29:28 +01:00
Pierre Chapuis be2368cf20 ruff 3 formatting (Rye 0.28) 2024-03-08 10:42:05 +01:00
Pierre Chapuis a0be5458b9 snip long prompt in tests 2024-03-05 19:54:44 +01:00
Pierre Chapuis d5d199edc5 add tests for SDXL Lightning 2024-02-26 12:14:02 +01:00
Pierre Chapuis 7e4e0f0650 correctly scale init latents for Euler scheduler 2024-02-26 12:14:02 +01:00
Pierre Chapuis bf0ba58541 refactor solver params, add sample prediction type 2024-02-26 12:14:02 +01:00
Pierre Chapuis ddc1cf8ca7 refactor solvers to support different timestep spacings 2024-02-26 12:14:02 +01:00
Pierre Chapuis 8f614e7647 check hash of downloaded LoRA weights, update DPO refs 
(the DPO LoRA weights have changed: 2699b36e22)
 2024-02-23 12:02:18 +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
Pierre Chapuis 684e2b9a47 add docstrings for LCM / LCM-LoRA 2024-02-21 16:37:27 +01:00
Pierre Chapuis 383c3c8a04 add tests for LCM and LCM-LoRA 
(As of now LoRA with guidance > 1 and especially base do not pass with those tolerances.)
 2024-02-21 16:37:27 +01:00
Pierre Chapuis c8c6294550 add LCMSolver (Latent Consistency Models) 2024-02-21 16:37:27 +01:00
Cédric Deltheil 446967859d test_style_aligned: switch to CLIP text batch API 
Added in #263
 2024-02-21 16:33:03 +01:00
Pierre Colle d199cd4f24 batch sdxl + sd1 + compute_clip_text_embedding 
Co-authored-by: Cédric Deltheil <355031+deltheil@users.noreply.github.com>
 2024-02-21 15:17:11 +01:00
Cédric Deltheil 5ab5d7fd1c import ControlLoraAdapter part of latent_diffusion 2024-02-19 14:11:32 +01:00
Laurent da3c3602fb write StyleAligned e2e test 2024-02-15 15:22:47 +01:00
Laurent 60c0780fe7 write StyleAligned inject/eject tests 2024-02-15 15:22:47 +01:00
limiteinductive 432e32f94f rename Scheduler -> LRScheduler 2024-02-15 11:48:36 +01:00
Laurent 00270604ef fix conversion_script bug + rename control_lora e2e test 2024-02-14 18:20:46 +01:00
Laurent 7fe392298a write ControlLora e2e tests 2024-02-14 18:20:46 +01:00
limiteinductive bec845553f update deprecated validator for field_validator 2024-02-13 18:35:51 +01:00
limiteinductive ab506b4db2 fix bug that was causing double registration 2024-02-13 11:12:13 +01:00
limiteinductive 3488273f50 Enforce correct subtype for the config param in both decorators 
Also add a custom ModelConfig for the MockTrainer test

Update src/refiners/training_utils/config.py

Co-authored-by: Cédric Deltheil <355031+deltheil@users.noreply.github.com>
 2024-02-12 16:21:04 +01:00
limiteinductive cef8a9936c refactor register_model decorator 2024-02-12 16:21:04 +01:00
limiteinductive d6546c9026 add @register_model and @register_callback decorators 
Refactor ClockTrainer to include Callback
 2024-02-12 10:24:19 +01:00
limiteinductive f541badcb3 Allow optional train ModelConfig + forbid extra input for configs 2024-02-10 16:13:10 +01:00
Pierre Colle 25bfa78907 lr, betas, eps, weight_decay at model level 
Co-authored-by: Cédric Deltheil <355031+deltheil@users.noreply.github.com>
 2024-02-09 12:05:13 +01:00
Cédric Deltheil 9aefc9896c test_trainer: use model_copy instead of copy 
The `copy` method has been deprecated.
 2024-02-08 20:07:34 +01:00
Colle f4aa0271b8
less than 1 epoch training duration 2024-02-08 19:20:31 +01:00
limiteinductive 41508e0865 change param name of abstract get_item method 2024-02-08 18:52:52 +01:00
Laurent 6d599d53fd beautify EXPECTED_TREE in test_chain.py 2024-02-08 15:09:47 +01:00
limiteinductive 2e526d35d1 Make Dataset part of the trainer 2024-02-07 16:13:01 +01:00
limiteinductive 2ef4982e04 remove wandb from base config 2024-02-07 11:06:59 +01:00
Pierre Chapuis 11da76f7df fix sdxl structural copy 2024-02-07 10:51:26 +01:00
Pierre Chapuis ca9e89b22a cosmetics 2024-02-07 10:51:26 +01:00
limiteinductive ea05f3d327 make device and dtype work in Trainer class 2024-02-06 23:10:10 +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 3de1508b65 increase tolerance on Euler test 2024-02-04 08:58:22 +01:00
Pierre Chapuis 83b478c0ff fix test failure caused by Diffusers 0.26.0 2024-02-04 08:58:22 +01:00
Colle 4a6146bb6c clip text, lda encode batch inputs 
* text_encoder([str1, str2])
* lda decode_latents/encode_image image_to_latent/latent_to_image
* images_to_tensor, tensor_to_images
---------
Co-authored-by: Cédric Deltheil <355031+deltheil@users.noreply.github.com>
 2024-02-01 17:05:28 +01:00
Pierre Chapuis 8a2b955bd0 add a test for SDXL + EulerScheduler (deterministic) 2024-02-01 16:17:07 +01:00
Pierre Chapuis 5ac5373310 add a test for SDXL with sliced attention 2024-02-01 16:17:07 +01:00
Pierre Chapuis 3ddd258d36 add a test for noise schedules 2024-02-01 16:17:07 +01:00
Pierre Chapuis df843f5226 test SAG setter 2024-02-01 16:17:07 +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
Pierre Chapuis f43a530254 add extra tests for Chain 2024-02-01 16:17:07 +01:00
Pierre Chapuis bca50b71f2 test (and fix) basic_attributes 2024-02-01 16:17:07 +01:00
Pierre Chapuis bba478abf2 create test_module 2024-02-01 16:17:07 +01:00
limiteinductive abe50076a4 add NoiseSchedule to solvers __init__ + simplify some import pathing 
further improve import pathing
 2024-01-31 17:03:52 +01:00
limiteinductive 73f6ccfc98 make Scheduler a fl.Module + Change name Scheduler -> Solver 2024-01-31 17:03:52 +01:00
Pierre Chapuis 7eb8eb4c68 add support for pytorch 2.2 (2.1 is still supported) 
also bump all dev dependencies to their latest version
 2024-01-31 15:03:06 +01:00
Cédric Deltheil 5634e68fde add end-to-end test for multi-ip adapter 2024-01-31 11:03:49 +01:00
Cédric Deltheil feff4c78ae segment-anything: fix class name typo 
Note: weights are impacted
 2024-01-30 09:52:40 +01:00
Pierre Chapuis 19bc081658 call GC between each e2e test to avoid OOM 2024-01-29 17:57:40 +01:00
Pierre Chapuis ce0339b4cc add a get_path helper to modules 2024-01-26 19:31:13 +01:00
limiteinductive 0ee2d5e075 Fix warmup steps calculation when gradient_accumulation is used 2024-01-25 12:20:36 +01:00
Bryce 12a5439fc4 refactor: rename noise => predicted_noise 
and in euler, `alt_noise` can now be simply `noise`
 2024-01-24 18:15:10 +01:00
limiteinductive 3b458f0d8d fix test_names LoraManager test 2024-01-23 14:12:03 +01:00
limiteinductive 421da6a3b6 Load Multiple LoRAs with SDLoraManager 2024-01-23 14:12:03 +01:00
Cédric Deltheil 40c33b9595 rollback to 50 inference steps in IP-Adapter tests 
Follow up of 8a36c8c

This is what is used in the official notebook (ip_adapter_demo.ipynb and
ip_adapter-plus_demo.ipynb)
 2024-01-22 09:35:31 +01:00
limiteinductive ed3621362f Add load_tensors utils in fluxion 2024-01-21 12:34:33 +01:00
Pierre Colle 91aea9b7ff fix: summarize_tensor(tensor) when tensor.numel() == 0 2024-01-20 14:32:35 +01:00
Pierre Chapuis 8a36c8c279 make the first diffusion step a first class property of LDM & Schedulers 2024-01-19 18:52:45 +01:00
hugojarkoff 42b7749630 Fix references for e2e tests 2024-01-19 15:00:03 +01:00
Pierre Chapuis ce3035923b improve DPM solver test 2024-01-18 19:23:11 +01:00
hugojarkoff 17d9701dde Remove additional noise in final sample of DDIM inference process 2024-01-18 18:43:13 +01:00
limiteinductive a1f50f3f9d refactor Lora LoraAdapter and the latent_diffusion/lora file 2024-01-18 16:27:38 +01:00
limiteinductive 2b977bc69e fix broken self-attention guidance with ip-adapter 
The #168 and #177 refactorings caused this regression. A new end-to-end
test has been added for proper coverage.

(This fix will be revisited at some point)
 2024-01-16 17:21:24 +01:00
limiteinductive d9ae7ca6a5 cast to float32 before converting to image in tensor_to_image to fix bfloat16 conversion 2024-01-16 11:50:58 +01:00
limiteinductive 7f722029be add basic unit test for training_utils 2024-01-14 22:08:20 +01:00
Colle dba9065229
fix test_debug_print 
Follow-up of #173
 2024-01-12 18:32:22 +01:00
Colle c141091afc
Make summarize_tensor robust to non-float dtypes (#171) 2024-01-11 09:57:58 +01:00
Cédric Deltheil ce0f9887a3 test_schedulers: fix pyright error 
Due to changes in diffusers 0.25.0
 2024-01-10 16:53:06 +01:00
Cédric Deltheil 6dbaec3e56 add end-to-end test for euler scheduler 
Reference image generated with diffusers [1]

[1]: tests/e2e/test_diffusion_ref/README.md#expected-outputs
 2024-01-10 16:53:06 +01:00
Cédric Deltheil 2b2b6740b7 fix or silent pyright issues 2024-01-10 16:53:06 +01:00
Cédric Deltheil 65f19d192f ruff fix 2024-01-10 16:53:06 +01:00
Cédric Deltheil ad143b0867 ruff format 2024-01-10 16:53:06 +01:00
Israfel Salazar 8423c5efa7
feature: Euler scheduler (#138) 2024-01-10 11:32:40 +01:00
limiteinductive c9e973ba41 refactor CrossAttentionAdapter to work with context. 2024-01-08 15:20:23 +01:00
hugojarkoff 00f494efe2 SegmentAnything: add dense mask prompt support 2024-01-05 18:53:25 +01:00
limiteinductive 20c229903f upgrade pyright to 1.1.342 ; improve no_grad typing 2023-12-29 15:09:02 +01:00
Cédric Deltheil 22ce3fd033 sam: wrap high-level methods with no_grad 2023-12-19 21:45:23 +01:00
Cédric Deltheil e7892254eb dinov2: add some coverage for registers 
Those are not supported yet in HF: so just compared with a precomputed
norm. Note: in the initial PR [1] the Refiners' implementation has been
tested against the official code using Torch Hub.

[1]:
https://github.com/finegrain-ai/refiners/pull/132#issuecomment-1852021656
 2023-12-18 10:29:28 +01:00
Cédric Deltheil 68cc346905 add minimal unit tests for DINOv2 
To be completed with tests using image preprocessing, e.g. test cosine
similarity on a relevant pair of images
 2023-12-18 10:29:28 +01:00
Benjamin Trom e2f2e33add Update tests/fluxion/layers/test_basics.py 
Co-authored-by: Cédric Deltheil <355031+deltheil@users.noreply.github.com>
 2023-12-13 17:03:28 +01:00
limiteinductive 7d9ceae274 change default behavior of end to None 2023-12-13 17:03:28 +01:00