16 commits

Author	SHA1	Message	Date
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