Laurent
ef0a7525a8
add DINOv2 similarity to compare_images + relax some test constraints
2024-10-14 15:12:59 +02:00
Laurent
316fe6e4f0
update tests to use new fixtures
2024-10-14 15:12:59 +02:00
Laurent
f3d2b6c325
modify some foundational tests to also test in float16 and bfloat16
2024-10-03 11:05:09 +02:00
Pierre Chapuis
ed7e2e5964
check timesteps stay the same in bfloat16
2024-09-26 08:55:07 +02:00
Pierre Chapuis
f1c8503e68
use default (1e-8) atol for basic DPM solver (used in SD1.5)
2024-09-26 08:55:07 +02:00
Pierre Chapuis
83b931296f
fix DPM-Solver with bfloat16
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2024-09-25 14:41:19 +02:00
Pierre Chapuis
73089a4e2d
fix typing issue in dinov2 test
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2024-09-18 10:44:24 +02:00
Laurent
2c0174f50e
rename test_unet.py to test_sd15_unet.py + use test_device fixture
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2024-09-10 09:16:22 +02:00
Laurent
444882a734
move some tests into the adapters test folder
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2024-09-09 17:44:26 +02:00
Laurent
6d58492097
loosen the tolerances for some sam tests (because of a recent pytorch upgrade)
2024-09-09 17:17:12 +02:00
limiteinductive
af6c5aecbe
add karras sigmas to dpm solver
2024-09-06 15:30:02 +02:00
limiteinductive
1de567590b
fix typing issues coming from torch 2.4 version ; typing is not guaranteed for torch < 2.4
2024-08-02 12:02:00 +02:00
limiteinductive
09a9dfd494
Add stochastic sampling to DPM solver (SDE)
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2024-07-23 11:13:12 +02:00
Pierre Chapuis
daee77298d
improve FrankenSolver
...
It now takes a Scheduler factory instead of a Scheduler.
This lets the user potentially recreate the Scheduler on `rebuild`.
It also properly sets the device and dtype on rebuild,
and it has better typing.
2024-07-19 16:46:52 +02:00
Laurent
f44ae150a7
improve/add MultiDiffusion and MultiUpscaler e2e tests
...
Co-authored-by: limiteinductive <benjamin@lagon.tech>
Co-authored-by: Cédric Deltheil <355031+deltheil@users.noreply.github.com>
2024-07-11 15:23:02 +02:00
Pierre Chapuis
b4db08de24
use "solver" (not scheduler) wording in tests
2024-07-10 19:31:34 +02:00
Pierre Chapuis
9e8c2a3753
add FrankenSolver
...
This solver is designed to use Diffusers Schedulers as Refiners Solvers.
2024-07-10 19:31:34 +02:00
limiteinductive
b42881e54e
Implement Tiled Autoencoder inference to save VRAM
2024-06-26 11:59:18 +02:00
Pierre Chapuis
9be3580ab3
avoid OOMs in SAM tests
2024-06-24 17:19:05 +02:00
Pierre Chapuis
2ba83f575e
switch pytest import mode to importlib
...
see:
https://docs.pytest.org/en/7.1.x/explanation/goodpractices.html#choosing-an-import-mode
https://docs.pytest.org/en/7.1.x/explanation/pythonpath.html#import-modes
This change fixes the SAM tests.
2024-06-24 17:19:05 +02:00
Laurent
7aff743019
initialize StableDiffusion_1_Inpainting with a 9 channel SD1Unet if not provided
2024-04-23 16:58:22 +02:00
Laurent
17246708b9
Add sample_noise
staticmethod and modify add_noise
to support batched steps
2024-04-18 12:55:49 +02:00
Pierre Colle
bf7852b88e
SAM: image_to_scaled_tensor gray images
2024-04-16 18:45:17 +02:00
limiteinductive
f48712ee29
lint
2024-04-16 16:24:33 +02:00
limiteinductive
347fdbc794
add init file for segment_anything tests
2024-04-16 16:24:33 +02:00
Pierre Colle
0ac290f67d
SAM: expose sizing helpers
2024-04-12 08:56:23 +02:00
Laurent
06ff2f0a5f
add support for dinov2 giant flavors
2024-04-11 14:48:33 +02:00
Laurent
2ecf7e4b8c
skip dinov2 float16 test on cpu + test dinov2 when batch_size>1
2024-04-02 18:57:25 +02:00
Pierre Chapuis
fd5a15c7e0
update pyright and fix Pillow 10.3 typing issues
2024-04-02 18:15:52 +02:00
Laurent
1a8ea9180f
refactor dinov2 tests, check against official implementation
2024-04-02 10:02:43 +02:00
Pierre Colle
6c37e3f933
hq-sam : weights/load_weights
2024-03-29 11:25:43 +01:00
Pierre Colle
cba83b0558
SAM init with mask_decoder after #325
2024-03-24 20:18:57 +01:00
Pierre Colle
5c937b184a
HQ-SAM logit equal test, following #331
2024-03-23 21:58:32 +01:00
Pierre Colle
2763db960e
SAM e2e test tolerance explained
2024-03-22 21:31:28 +01:00
hugojarkoff
a93ceff752
Add HQ-SAM Adapter
2024-03-21 15:36:55 +01:00
hugojarkoff
c6b5eb24a1
Add logits comparison for base SAM in single mask output prediction mode
2024-03-21 10:48:48 +01:00
Pierre Colle
68fe725767
Add multimask_output flag to SAM
2024-03-19 17:40:26 +01:00
Pierre Chapuis
052a20b897
remove add_multiple_loras
2024-03-08 15:43:57 +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
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
c8c6294550
add LCMSolver (Latent Consistency Models)
2024-02-21 16:37:27 +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
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
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