Commit Graph

1834 Commits

Author SHA1 Message Date
d0bac1675e fix(nodes): fix ImageOutput Config 2023-05-11 11:55:51 +10:00
4e56c962f4 fix(nodes): fix infill docstrings 2023-05-11 11:55:51 +10:00
4ef0e43759 fix(nodes): remove dataURL invocation 2023-05-11 11:55:51 +10:00
a7786d5ff2 fix(nodes): restore seamless to TextToLatents 2023-05-11 11:55:51 +10:00
6c1de975d9 feat(nodes): add infill nodes 2023-05-11 11:55:51 +10:00
a1079e455a feat(nodes): cleanup unused params, seed generation 2023-05-11 11:55:51 +10:00
da4eacdffe feat(nodes): add InfillInvocation 2023-05-11 11:55:51 +10:00
6102e560ba feat(nodes): add LatentsToImage node (VAE encode) 2023-05-11 11:55:51 +10:00
20f6a597ab fix(nodes): add MetadataColorField 2023-05-11 11:55:51 +10:00
206e6b1730 feat(nodes): wip inpaint node 2023-05-11 11:55:51 +10:00
357cee2849 fix(nodes): fix cfg scale min value 2023-05-11 11:55:51 +10:00
0b49997bb6 feat(nodes): allow uploaded images to be any ImageType (eg intermediates) 2023-05-11 11:55:51 +10:00
5e09dd380d Revert "feat(nodes): free gpu mem after invocation"
This reverts commit 99cb33f477306d5dcc455efe04053ce41b8d85bd.
2023-05-11 11:55:51 +10:00
a75148cb16 feat(nodes): free gpu mem after invocation 2023-05-11 11:55:51 +10:00
e0b9b5cc6c feat(nodes): add dataURL to image node 2023-05-11 11:55:51 +10:00
aca4770481 fixed compel.py as requested 2023-05-10 21:40:44 -04:00
ee24ad7b13 fix(nodes): fix broken docs routes 2023-05-10 08:28:17 -04:00
f8e90ba3f0 feat(nodes): add ui build static route 2023-05-10 08:28:17 -04:00
7dfa135b2c fix(nodes): fix #3306
Check if the cache has the object before deleting it.
2023-05-10 15:29:10 +10:00
fa6a580452 merge with main 2023-05-10 00:03:32 -04:00
4649920074 adjust t2i to work with new model structure 2023-05-07 19:06:49 -04:00
667171ed90 cap model cache size using bytes, not # models 2023-05-07 18:07:28 -04:00
42d938fda5 remove debugging statement 2023-05-06 23:54:11 -04:00
25ce47c44f remove reference to globals in compel.py 2023-05-06 22:49:35 -04:00
647ffb2a0f defined abstract baseclass for model manager service 2023-05-06 22:41:19 -04:00
afd2e32092 Merge branch 'main' into lstein/global-configuration 2023-05-06 21:20:25 -04:00
a8cfa3565c Merge branch 'lstein/new-model-manager' of github.com:invoke-ai/InvokeAI into lstein/new-model-manager 2023-05-06 08:14:15 -04:00
e0214a32bc mostly ported to new manager API; needs testing 2023-05-06 00:44:12 -04:00
a80fe05e23 Rename compel node 2023-05-05 21:30:16 +03:00
58d7833c5c Review changes 2023-05-05 21:09:29 +03:00
5012f61599 Separate conditionings back to positive and negative 2023-05-05 15:47:51 +03:00
85c33823c3 Merge branch 'main' into feat/compel_node 2023-05-05 14:41:45 +12:00
e04ada1319 Merge branch 'main' into patch-1 2023-05-05 10:38:45 +10:00
81ec476f3a Revert seed field addition 2023-05-04 21:50:40 +03:00
1e6adf0a06 Fix default graph and test 2023-05-04 21:14:31 +03:00
7d221e2518 Combine conditioning to one field(better fits for multiple type conditioning like perp-neg) 2023-05-04 20:14:22 +03:00
742ed19d66 add missing config module 2023-05-04 01:20:30 -04:00
e4196bbe5b adjust non-app modules to use new config system 2023-05-04 00:43:51 -04:00
15ffb53e59 remove globals, args, generate and the legacy CLI 2023-05-03 23:36:51 -04:00
90054ddf0d use InvokeAISettings for app-wide configuration 2023-05-03 22:30:30 -04:00
56d3cbead0 Merge branch 'main' into feat/compel_node 2023-05-04 00:28:33 +03:00
4687ad4ed6 Merge branch 'main' into enhance/invokeai-logs 2023-05-03 13:36:06 -04:00
f9f40adcdc fix(nodes): fix t2i graph
Removed width and height edges.
2023-05-02 13:11:28 +10:00
3264d30b44 feat(nodes): allow multiples of 8 for dimensions 2023-05-02 12:01:52 +10:00
d39de0ad38 fix(nodes): fix duplicate Invoker start/stop events 2023-05-01 18:24:37 -04:00
d14a7d756e nodes-api: enforce single thread for the processor
On hyperthreaded CPUs we get two threads operating on the queue by
default on each core. This cases two threads to process queue items.
This results in pytorch errors and sometimes generates garbage.

Locking this to single thread makes sense because we are bound by the
number of GPUs in the system, not by CPU cores. And to parallelize
across GPUs we should just start multiple processors (and use async
instead of threading)

Fixes #3289
2023-05-01 18:24:37 -04:00
b050c1bb8f use logger in ApiDependencies 2023-05-01 16:27:44 -04:00
b49d76ebee feat(nodes): fix image to image fit param
it was ignored previously.
2023-05-01 17:28:22 +10:00
974841926d logger is a interchangeable service 2023-04-29 10:48:50 -04:00
8db20e0d95 rename log to logger throughout 2023-04-29 09:43:40 -04:00