172 Commits

Author	SHA1	Message	Date
layerdiffusion	1096c708cc	revise swap module name	2024-08-20 21:18:53 -07:00
layerdiffusion	5452bc6ac3	All Forge Spaces Now Pass 4GB VRAM ... and they all 100% reproduce author results	2024-08-20 08:01:10 -07:00
layerdiffusion	6f411a4940	fix loras on nf4 models when activate "loras in fp16"	2024-08-20 01:29:52 -07:00
layerdiffusion	475524496d	revise	2024-08-19 18:54:54 -07:00
layerdiffusion	d7151b4dcd	add low vram warning	2024-08-19 11:08:01 -07:00
layerdiffusion	2f1d04759f	avoid some mysteries problems when using lots of python local delegations	2024-08-19 09:47:04 -07:00
layerdiffusion	96f264ec6a	add a way to save models	2024-08-19 06:30:49 -07:00
layerdiffusion	d03fc5c2b1	speed up a bit	2024-08-19 05:06:46 -07:00
layerdiffusion	d38e560e42	Implement some rethinking about LoRA system ... 1. Add an option to allow users to use UNet in fp8/gguf but lora in fp16. 2. All FP16 loras do not need patch. Others will only patch again when lora weight change. 3. FP8 unet + fp16 lora are available (somewhat only available) in Forge now. This also solves some “LoRA too subtle” problems. 4. Significantly speed up all gguf models (in Async mode) by using independent thread (CUDA stream) to compute and dequant at the same time, even when low-bit weights are already on GPU. 5. View “online lora” as a module similar to ControlLoRA so that it is moved to GPU together with model when sampling, achieving significant speedup and perfect low VRAM management simultaneously.	2024-08-19 04:31:59 -07:00
layerdiffusion	e5f213c21e	upload some GGUF supports	2024-08-19 01:09:50 -07:00
layerdiffusion	53cd00d125	revise	2024-08-17 23:03:50 -07:00
layerdiffusion	db5a876d4c	completely solve all LoRA OOMs	2024-08-17 22:43:20 -07:00
layerdiffusion	8a04293430	fix some gguf loras	2024-08-17 01:15:37 -07:00
layerdiffusion	ab4b0d5b58	fix some mem leak	2024-08-17 00:19:43 -07:00
layerdiffusion	3da7de418a	fix layerdiffuse	2024-08-16 21:37:25 -07:00
layerdiffusion	9973d5dc09	better prints	2024-08-16 21:13:09 -07:00
layerdiffusion	f3e211d431	fix bnb lora	2024-08-16 21:09:14 -07:00
layerdiffusion	2f0555f7dc	GPU Shared Async Swap for all GGUF/BNB	2024-08-16 08:45:17 -07:00
layerdiffusion	04e7f05769	speedup swap/loading of all quant types	2024-08-16 08:30:11 -07:00
layerdiffusion	394da01959	simplify	2024-08-16 04:55:01 -07:00
layerdiffusion	e36487ffa5	tune	2024-08-16 04:49:25 -07:00
lllyasviel	6e6e5c2162	do some profile on 3090	2024-08-16 04:43:19 -07:00
layerdiffusion	7c0f78e424	reduce cast	2024-08-16 03:59:59 -07:00
layerdiffusion	12369669cf	only load lora one time	2024-08-16 02:02:22 -07:00
layerdiffusion	243952f364	wip qx_1 loras	2024-08-15 17:07:41 -07:00
layerdiffusion	f510f51303	speedup lora patching	2024-08-15 06:51:52 -07:00
layerdiffusion	141cf81c23	sometimes it is not diffusion model	2024-08-15 06:36:59 -07:00
layerdiffusion	021428da26	fix nf4 lora gives pure noise on some devices	2024-08-15 06:35:15 -07:00
layerdiffusion	3d751eb69f	move file	2024-08-15 05:46:35 -07:00
layerdiffusion	616b335fce	move file	2024-08-15 05:45:55 -07:00
layerdiffusion	1bd6cf0e0c	Support LoRAs for Q8/Q5/Q4 GGUF Models ... what a crazy night of math	2024-08-15 05:34:46 -07:00
layerdiffusion	2690b654fd	reimplement q8/q85/q4 and review and match official gguf	2024-08-15 02:41:15 -07:00
layerdiffusion	ce16d34d03	disable xformers for t5	2024-08-15 00:55:49 -07:00
layerdiffusion	d336597fa5	add note to lora ... but loras for NF4 is done already!	2024-08-15 00:42:48 -07:00
layerdiffusion	7fcfb93090	ling	2024-08-15 00:39:12 -07:00
layerdiffusion	0524133714	ling	2024-08-15 00:33:21 -07:00
layerdiffusion	fb62214a32	rewrite some functions	2024-08-15 00:29:19 -07:00
layerdiffusion	c74f603ea2	remove super call	2024-08-15 00:23:31 -07:00
layerdiffusion	d0518b7249	make prints beautiful	2024-08-15 00:20:03 -07:00
layerdiffusion	d8b83a9501	gguf preview	2024-08-15 00:03:32 -07:00
layerdiffusion	59790f2cb4	simplify codes	2024-08-14 20:48:39 -07:00
layerdiffusion	4b66cf1126	fix possible OOM again	2024-08-14 20:45:58 -07:00
layerdiffusion	a29875206f	Revert "simplify codes" ... This reverts commit e7567efd4b.	2024-08-14 20:39:05 -07:00
layerdiffusion	b31f81628f	Revert "simplify codes" ... This reverts commit 2cc5aa7a3e.	2024-08-14 20:39:00 -07:00
layerdiffusion	2cc5aa7a3e	simplify codes	2024-08-14 20:35:28 -07:00
layerdiffusion	e7567efd4b	simplify codes	2024-08-14 20:34:02 -07:00
layerdiffusion	bbd0d76b28	fix possible oom	2024-08-14 20:27:05 -07:00
layerdiffusion	cb889470ba	experimental LoRA support for NF4 Model ... method may change later depending on result quality	2024-08-14 19:52:19 -07:00
layerdiffusion	70a5acd8ad	doc	2024-08-14 19:12:02 -07:00
layerdiffusion	aff742b597	speed up lora using cuda profile	2024-08-14 19:09:35 -07:00