Commit graph

15 commits

Author SHA1 Message Date
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 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
Cédric Deltheil feff4c78ae segment-anything: fix class name typo
Note: weights are impacted
2024-01-30 09:52:40 +01:00
limiteinductive ed3621362f Add load_tensors utils in fluxion 2024-01-21 12:34:33 +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 792a0fc3d9 run lint rules using latest isort settings 2023-12-11 11:58:43 +01:00
limiteinductive 86c54977b9 replace poetry by rye for python dependency management
Co-authored-by: Cédric Deltheil <cedric@deltheil.me>
Co-authored-by: Pierre Chapuis <git@catwell.info>
2023-12-08 17:40:10 +01:00
Pierre Chapuis 02f3c46e2e update pyright 2023-10-25 14:56:07 +02:00
Benjamin Trom ea44262a39 unnest Residual subchain by modifying its forward
And replaced the remaining Sum-Identity layers by Residual.

The tolerance used to compare SAM's ViT models has been tweaked: for
some reasons there is a small difference (in float32) in the neck layer
(first conv2D)

Co-authored-by: Cédric Deltheil <cedric@deltheil.me>
2023-10-19 10:34:51 +02:00
Benjamin Trom 282578ddc0 add Segment Anything (SAM) to foundational models
Note: dense prompts (i.e. masks) support is still partial (see MaskEncoder)

Co-authored-by: Cédric Deltheil <cedric@deltheil.me>
2023-09-21 11:44:30 +02:00