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98 Commits
Author SHA1 Message Date
kijai c89b82e479 Merge branch 'main' into s2v 2025-08-27 12:24:08 +03:00
kijai e241998f53 Fix Uni3C 2025-08-27 12:21:25 +03:00
kijai 3c79851230 ref latent 2025-08-26 21:30:10 +03:00
kijai 748ec89aa8 init 2025-08-26 19:02:24 +03:00
kijai d9def84332 Fix UniAnimate and MultiTalk loading 2025-08-25 14:09:08 +03:00
kijai 11f3e41e9a Merge branch 'main' into dev 2025-08-23 21:00:45 +03:00
kijai 9a2a13498a Cleanup MultiTalk model code 2025-08-23 17:49:04 +03:00
kijai d0b9f2c907 Allow UniAnimate to work with unmerged LoRAs 2025-08-23 01:06:22 +03:00
kijai b1ceaaeb2e Support Wan22 VAE in WanVideoLatentReScale 2025-08-22 15:04:29 +03:00
kijai 65973b0251 gguf loading fixes 2025-08-21 22:13:07 +03:00
kijai 2dfaeb0093 Update nodes_model_loading.py 2025-08-21 19:07:11 +03:00
kijai b4d2290859 Merge branch 'main' into dev 2025-08-21 18:42:47 +03:00
kijai bcdd6dc664 Support loading VACE GGUF modules 2025-08-21 02:36:52 +03:00
kijai 655e6557eb Update nodes_model_loading.py 2025-08-20 21:13:49 +03:00
kijai 053f26ce82 Multi/InfiniteTalk v2v 2025-08-20 16:40:13 +03:00
kijai a1220f7f36 Handle InfiniteTalk first frame when not using the looping sampling 2025-08-20 13:33:44 +03:00
kijai 4aac86a828 offloading fixes 2025-08-19 19:11:33 +03:00
kijai 39908c9aea Fix fp8_fast with multitalk 2025-08-19 18:21:21 +03:00
kijai 2a0bd1c42d Merge branch 'main' into dev 2025-08-19 18:06:49 +03:00
kijai b6d4c172f0 Allow using GGUF Multi/InfiniteTalk models 2025-08-19 17:48:58 +03:00
kijai daa638befb fix UniAnimate 2025-08-19 01:04:26 +03:00
kijai f182b976f8 update 2025-08-19 00:36:13 +03:00
kijai 09710f9ca0 Basic MTV Crafter support 
https://github.com/DINGYANB/MTVCrafter
 2025-08-18 22:42:11 +03:00
kijai c16a7b5a7d Update nodes_model_loading.py 2025-08-18 17:06:25 +03:00
kijai 282947d93a GGUF fix 2025-08-18 16:57:07 +03:00
kijai be285f5258 multitalk fix 2025-08-17 15:14:27 +03:00
kijai 6181f30b37 Update nodes_model_loading.py 2025-08-17 14:11:15 +03:00
kijai 7fc5ec305d Refactor model loading 2025-08-16 16:03:15 +03:00
kijai b60ab34db6 Update nodes_model_loading.py 2025-08-15 15:08:43 +03:00
kijai 9f3a5962e6 Update nodes_model_loading.py 2025-08-15 14:56:09 +03:00
kijai 2df76f3363 Update nodes_model_loading.py 2025-08-15 14:45:53 +03:00
Ordinator0 e8145f2074 correctly extract lora name 2025-08-14 05:55:03 -07:00
kijai 24683f1dad Squashed commit of the following: 
commit 6a01a8a1d80d36b5b8ac979a36069c8eb0c2f9a7
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Aug 14 15:40:50 2025 +0300

    Update wanvideo_2_1_I2V_FantasyPortrait_example_01.json

commit e3cf4bf5bc13321e6d8f91fcb7ee92210a7adf01
Merge: bbf14ec f3d5f6b
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Aug 14 15:08:53 2025 +0300

    Merge branch 'main' into fantasy_portrait

commit bbf14ec9e9965c1a8582eea02b50913e79a036d0
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Aug 14 02:16:11 2025 +0300

    update

commit 8192f9f4302b3933e48641a8ef313929e3e263aa
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Aug 14 01:46:15 2025 +0300

    progress bar, fix context windows

commit 39fab8ad4d950a974ba49bd177814f30f518b478
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Aug 14 01:29:15 2025 +0300

    Update nodes.py

commit 36f472c0134e6342ab8c2062a7e3f0b0c829003b
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Aug 14 01:14:24 2025 +0300

    Add start/end percent

commit 16f5922c6bc575754412c9b473907377562b956c
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Aug 14 00:58:57 2025 +0300

    init
 2025-08-14 15:41:25 +03:00
kijai 64a0c03673 Fix Fun 2.2 reference image input 
Turns out the reference image doesn't work in the initial fp8_scaled models I shared due to the ref_conv layer ending up scaled as well, I've fixed the models and added error indicating the issue when trying to use reference image on such bugged model.

No change in behaviour when using start image instead.
 2025-08-14 11:13:03 +03:00
kijai f933ad0840 Fix stand-in with GGUF 2025-08-13 01:05:22 +03:00
kijai a5ae70624d Support Stand-In LoRA 
https://github.com/WeChatCV/Stand-In
 2025-08-12 21:51:38 +03:00
kijai 057ee642f6 Add async prefetch as option for block swapping 
Can speed up block swapping on some systems, added debug option as well so you can see if enabling the option gives you any benefit.
 2025-08-11 16:17:16 +03:00
kijai 7c93aea182 rename fp8 optimization in code for clarity as it does more than that with loras 2025-08-11 14:32:57 +03:00
kijai 341932b58f Fix unmerged lora application on unquantized models 2025-08-11 01:34:25 +03:00
kijai 8185e9b3cb Better fp8 linear layer patching with torch.compile 2025-08-09 16:18:33 +03:00
kijai cf8e403f88 Fix gguf 2025-08-09 13:28:20 +03:00
kijai 0da602f8e9 silence the img key error spam when using 2.1 I2V loras on 2.2 or T2V 2025-08-09 12:17:55 +03:00
kijai ceedc9e493 Update nodes_model_loading.py 2025-08-09 10:49:42 +03:00
kijai 48fa904ad8 fp8 matmul for scaled models 
Fp8 matmul (fp8_fast) doesn't seem feasible with unmerged LoRAs as you'd need to first upcast, then apply LoRA, then downcast back to fp8 and that is too slow. Direct adding in fp8 is also not possible since that's just not something fp8 dtypes support.
 2025-08-09 10:17:11 +03:00
kijai 9be0eb133c Fix lora scheduling in multilora loader 2025-08-08 13:47:08 +03:00
kijai e1acc2c4e7 Support Fun 2.2 2025-08-08 11:49:04 +03:00
kijai 92eac2a9e1 typo 2025-08-05 18:25:42 +03:00
kijai bacb2a2053 Update nodes_model_loading.py 2025-08-05 01:44:42 +03:00
kijai 8e71286b6d Allow torch.compile VAE decoder 
Slight speedup especially for 5B...
 2025-08-05 01:31:31 +03:00
kijai 78a7e20838 Fix lora schedule with multilora node 2025-08-04 16:51:53 +03:00