kijai
70fcdff3c5
Update nodes_model_loading.py
2025-07-22 17:36:41 +03:00
kijai
bfd6af8141
Update nodes_model_loading.py
2025-07-22 15:41:32 +03:00
kijai
98fa84bb17
Update nodes_model_loading.py
2025-07-22 13:58:43 +03:00
kijai
3988accdf3
Update nodes_model_loading.py
2025-07-21 23:44:24 +03:00
kijai
9911b5e6f0
oops
2025-07-21 22:49:05 +03:00
kijai
91515717d6
bump version
2025-07-21 22:46:50 +03:00
kijai
296baa30ce
Add WanVideoSetLoRAs
...
Node to set the LoRA weights to use with the unmerged LoRA mode, not able to merge LoRAs but allows instant LoRA switching without any loading times. The effect of unmerged LoRAs is stronger and differs from merged LoRAs.
2025-07-21 22:39:17 +03:00
kijai
41d8bd9ec9
fix for context windows
2025-07-21 20:09:53 +03:00
kijai
4bf78e5316
Possibly reduce LoRA loading memory usage
2025-07-21 15:25:07 +03:00
kijai
6ef9224dfe
Update model.py
2025-07-21 13:51:33 +03:00
kijai
aeac12ed7a
Only convert layers that actually have scaled weights...
2025-07-21 01:57:27 +03:00
kijai
29ce253bb6
Support fp8_scaled models and allow running LoRAs unmerged on other models as well
2025-07-21 01:37:30 +03:00
kijai
59add151eb
Update attention.py
2025-07-20 16:22:27 +03:00
kijai
e5b125cd89
Allow setting any block as dense for Radial attention
...
Also added WanVideoBlockList helper to to create list of ints that can be inserted to the dense_blocks -input.
2025-07-20 16:21:37 +03:00
kijai
0dba876979
Correct radial attn mask size when using context windows
2025-07-20 13:22:56 +03:00
kijai
bb82d63453
Update nodes.py
2025-07-20 13:08:40 +03:00
kijai
768a4b2d90
Fix radial attention cache not resetting on resolution change, add more robust supported dimension check
2025-07-20 12:15:01 +03:00
kijai
9f75b7e051
Fix tiled_vae + endframe
2025-07-20 02:33:24 +03:00
kijai
1f25bba463
Merge branch 'pr/828'
2025-07-20 02:13:26 +03:00
kijai
47978275bb
Update nodes.py
2025-07-20 02:13:07 +03:00
kijai
edd9b20691
Add res_multistep
2025-07-20 01:41:17 +03:00
komikndr
d3aba90119
adding 64 block_size
2025-07-19 20:05:19 +07:00
kijai
0f6fe96626
Update __init__.py
2025-07-18 23:01:03 +03:00
kijai
feddafcea2
Update model.py
2025-07-18 18:52:32 +03:00
kijai
5a305a7f9f
include sparse_sage_API code
...
https://github.com/jt-zhang/Sparse_SageAttention_API
2025-07-18 17:16:43 +03:00
kijai
cf18ecc2da
update i2v basic example
2025-07-18 16:42:02 +03:00
kijai
c68f5f7439
move node
2025-07-18 16:41:49 +03:00
kijai
c08296747f
more refactoring
2025-07-18 16:31:34 +03:00
kijai
6b9565ed63
Code refactoring
2025-07-18 16:15:50 +03:00
kijai
8b8da7d8fe
Update nodes.py
2025-07-18 14:41:38 +03:00
kijai
8538c517e6
Merge branch 'radial_attn'
2025-07-18 14:40:10 +03:00
kijai
ed11e2bb3e
Update nodes.py
2025-07-18 14:37:11 +03:00
kijai
a1cc320c36
force using the set node
2025-07-18 14:26:45 +03:00
kijai
0e920e5b18
support VACE
2025-07-18 14:04:04 +03:00
kijai
55fc8a13e0
better mask cache, optimize
2025-07-18 13:55:06 +03:00
kijai
8919e65bab
cache the mask
2025-07-18 01:43:45 +03:00
kijai
a7166fc1a4
fix and rename args to be clearer
2025-07-18 01:28:01 +03:00
kijai
712eecf64b
more compile friendly
2025-07-18 00:53:12 +03:00
kijai
605011a237
allow setting dense attention mode
2025-07-17 23:47:08 +03:00
kijai
9039d95721
cleanup and optimize
2025-07-17 22:40:26 +03:00
kijai
7c8020f8e8
works but slow
2025-07-17 21:49:14 +03:00
kijai
0417c8ea00
Update nodes.py
2025-07-17 20:48:16 +03:00
kijai
6ee7ad508e
init (not working)
2025-07-17 20:47:02 +03:00
Jukka Seppänen
31b2c686cf
Merge pull request #768 from Eikwang/fixunianimate
...
fix unianimate erro : OverflowError: cannot convert float infinity to…
2025-07-17 19:33:37 +03:00
kijai
e011d031a8
Merge branch 'pr/799'
2025-07-17 19:33:10 +03:00
kijai
6e5b493b28
Create wanvideo_14B_pusa_I2V_example_01.json
2025-07-17 19:27:32 +03:00
kijai
8d7504144d
Update nodes.py
2025-07-17 19:25:03 +03:00
kijai
d8e90a94c1
more advanced input for Pusa
2025-07-17 19:10:24 +03:00
kijai
6bc53b771d
refactor scheduler import
2025-07-17 15:56:55 +03:00
kijai
2263d02a0a
basic Pusa support
2025-07-17 10:06:01 +03:00
kijai