Finegrain/refiners
1
0
Fork 0
mirror of https://github.com/finegrain-ai/refiners.git synced 2024-11-23 14:48:45 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity
528 commits 35 branches 5 tags 149 MiB
Commit graph

82 commits

Author SHA1 Message Date
Cédric Deltheil 7d2abf6fbc scheduler: add remove noise 
aka original sample prediction (or predict x0)

E.g. useful for methods like self-attention guidance (see equation (2)
in https://arxiv.org/pdf/2210.00939.pdf)
 2023-10-05 17:05:15 +02:00
Cédric Deltheil 63f5723449 test_concepts: silent static type checker error 2023-09-25 13:54:26 +02:00
Pierre Chapuis cd1fdb5585 fix scheduler device choice 2023-09-21 12:00:19 +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
Pierre Chapuis fc2390ad1c fix legacy wording for refonly control 2023-09-14 11:21:11 +02:00
Pierre Chapuis 0e0c39b4b5 black 2023-09-13 17:02:47 +02:00
Cédric Deltheil 1b4dcebe06 make scheduler an actual abstract base class 2023-09-12 16:47:47 +02:00
Pierre Chapuis 7a32699cc6 add ensure_find and ensure_find_parent helpers 2023-09-12 14:19:10 +02:00
Pierre Chapuis b69dbc4e5c improve CrossAttentionAdapter test 2023-09-12 11:58:24 +02:00
Pierre Chapuis dc2c3e0163 implement CrossAttentionAdapter using chain operations 2023-09-12 11:58:24 +02:00
Pierre Chapuis 3c056e2231 expose lookup_top_adapter 2023-09-12 11:58:24 +02:00
Cédric Deltheil 32cba1afd8 test_sdxl_double_encoder: use proper weights 2023-09-11 21:49:24 +02:00
Pierre Chapuis dd0cca5855 use float32 reference for textual inversion (fixes tests on CPU) 2023-09-11 16:11:53 +02:00
Pierre Chapuis 78e69c7da0 fix typo + skip test if weights are not available 2023-09-07 17:31:20 +02:00
Pierre Chapuis d9a461e9b5 stop relying on SDXL 0.9 weights in test 2023-09-07 12:18:38 +02:00
limiteinductive 88efa117bf fix model comparison with custom layers 2023-09-05 12:34:38 +02:00
Cédric Deltheil b933fabf31 unet: get rid of clip_embedding attribute for SD1 
It is implicitly defined by the underlying cross-attention layer. This
also makes it consistent with SDXL.
 2023-09-01 19:23:33 +02:00
Pierre Chapuis e91e31ebd2 check no two controlnets have the same name 2023-09-01 17:47:29 +02:00
Pierre Chapuis 73813310d0 rename SelfAttentionInjection to ReferenceOnlyControl and vice-versa 2023-09-01 17:29:48 +02:00
Doryan Kaced 9f6733de8e Add concepts learning via textual inversion 2023-08-31 16:07:53 +02:00
Pierre Chapuis 0f476ea18b make high-level adapters Adapters 
This generalizes the Adapter abstraction to higher-level
constructs such as high-level LoRA (targeting e.g. the
SD UNet), ControlNet and Reference-Only Control.

Some adapters now work by adapting child models with
"sub-adapters" that they inject / eject when needed.
 2023-08-31 10:57:18 +02:00
Cédric Deltheil 7dc2e93cff tests: add test for clip image encoder 
This covers a CLIPImageEncoderH model (Stable Diffusion v2-1-unclip)
specifically
 2023-08-30 21:50:01 +02:00
Pierre Chapuis 32c1cfdbb1 add black to CI 2023-08-30 14:50:03 +02:00
Pierre Chapuis 18c84c7b72 shorter import paths 2023-08-29 16:57:40 +02:00
limiteinductive 7ca6bd0ccd implement the ConvertModule class and refactor conversion scripts 2023-08-28 14:39:14 +02:00
Doryan Kaced 3680f9d196 Add support for learned concepts e.g. via textual inversion 2023-08-28 10:37:39 +02:00
limiteinductive 92a21bc21e refactor latent_diffusion module 2023-08-25 12:30:20 +02:00
Pierre Chapuis 2ad26a06b0 fix LoRAs on Self target 2023-08-23 12:13:01 +02:00
limiteinductive 3565a4127f implement DoubleTextEncoder for SDXL 2023-08-23 11:05:38 +02:00
limiteinductive e7c1db50e0 turn CLIPTokenizer into a fl.Module 2023-08-22 00:09:01 +02:00
limiteinductive 4526d58cd5 update CTOR of CLIPTextEncoder with max_sequence_length 2023-08-21 11:21:12 +02:00
Cédric Deltheil 48f674c433 initial commit 2023-08-04 15:28:41 +02:00