psychedelicious
8b5caa7e57
chore(ui): typegen
2024-05-27 09:06:02 +10:00
psychedelicious
ec4f10aed3
chore(ui): typegen
2024-05-27 09:06:02 +10:00
psychedelicious
3abc182b44
chore(ui): tidy after rebase
2024-05-27 09:06:02 +10:00
psychedelicious
8d79ce94aa
feat(ui): update UI to use new events
...
- Use OpenAPI schema for event payload types
- Update all event listeners
- Add missing events / remove old nonexistent events
2024-05-27 09:06:02 +10:00
psychedelicious
975dc14579
chore(ui): typegen
2024-05-27 09:06:02 +10:00
psychedelicious
1e622a5706
chore(ui): typegen
2024-05-24 20:02:24 +10:00
psychedelicious
a34faf0bd8
chore(ui): typegen
2024-05-20 10:32:59 +10:00
psychedelicious
922716d2ab
feat(ui): store graph in image metadata
...
The previous super-minimal implementation had a major issue - the saved workflow didn't take into account batched field values. When generating with multiple iterations or dynamic prompts, the same workflow with the first prompt, seed, etc was stored in each image.
As a result, when the batch results in multiple queue items, only one of the images has the correct workflow - the others are mismatched.
To work around this, we can store the _graph_ in the image metadata (alongside the workflow, if generated via workflow editor). When loading a workflow from an image, we can choose to load the workflow or the graph, preferring the workflow.
Internally, we need to update images router image-saving services. The changes are minimal.
To avoid pydantic errors deserializing the graph, when we extract it from the image, we will leave it as stringified JSON and let the frontend's more sophisticated and flexible parsing handle it. The worklow is also changed to just return stringified JSON, so the API is consistent.
2024-05-18 09:04:37 +10:00
psychedelicious
de1869773f
chore(ui): typegen
2024-05-15 14:09:44 +10:00
psychedelicious
7901e4c082
chore(ui): typegen
2024-05-15 14:09:44 +10:00
blessedcoolant
38880cde5c
chore: update schema
2024-05-01 01:20:22 +05:30
psychedelicious
42a159beaa
chore(ui): typegen
2024-04-23 07:32:53 -04:00
dunkeroni
38604aa408
update canvas graphs
2024-04-23 07:32:53 -04:00
psychedelicious
499e7a7b74
chore(ui): typegen
2024-04-19 09:32:56 -04:00
psychedelicious
05deeb68fa
feat(ui): draft of graph helper for regional prompts
2024-04-19 09:32:56 -04:00
blessedcoolant
27466ffa1a
chore: update the ip adapter node version
2024-04-13 13:39:08 +05:30
blessedcoolant
f50b156511
chore: do not include custom nodes in schema
2024-04-13 12:43:49 +05:30
blessedcoolant
e9f16ac8c7
feat: add UI for IP Adapter Method
2024-04-13 12:06:59 +05:30
blessedcoolant
6ea183f0d4
wip: Initial Implementation IP Adapter Style & Comp Modes
2024-04-13 11:09:45 +05:30
blessedcoolant
540d506ec9
fix: Incorrect default clip vision opt in the node
2024-04-05 15:06:33 -04:00
psychedelicious
90bdd74f30
chore(ui): typegen
2024-04-05 08:49:13 +11:00
blessedcoolant
adb7966bb3
ui: intial mosaic infill ui
...
Need to change color picking.
2024-04-05 08:49:13 +11:00
blessedcoolant
d284e0567a
fix: ip adapter clip selection being broken
2024-04-05 07:49:04 +11:00
blessedcoolant
e574815413
chore: clean up merge conflicts
2024-04-03 20:28:00 +05:30
blessedcoolant
298cae5bb9
Update schema.ts
2024-03-29 12:41:10 +05:30
blessedcoolant
56ed697c23
fix: clip vision model auto param
...
Setting to 'auto' works only for InvokeAI config and auto detects the SD model but will override if user explicitly sets it. If auto used with checkpoint models, we raise an error. Checkpoints will always need to set to non-auto.
2024-03-29 12:12:16 +05:30
blessedcoolant
0d8b535131
chore: rename IPAdapterDiffusersConfig to IPAdapterInvokeAIConfig
2024-03-29 11:50:18 +05:30
blessedcoolant
1a93f56d06
ui: improve the clip vision model picker layout
2024-03-27 22:11:07 +05:30
blessedcoolant
16c366a060
feat: Let users pick CLIP Vision model for Checkpoint IP Adapters
2024-03-27 22:08:23 +05:30
blessedcoolant
c4a856de4a
ui: update the new ip adapter configs on the frontend
2024-03-27 22:08:23 +05:30
psychedelicious
7167699015
chore(ui): typegen
2024-03-27 18:59:55 +05:30
psychedelicious
ab36d7c0f2
chore(ui): typegen
2024-03-22 14:59:33 +11:00
psychedelicious
7467768d48
chore(ui): typegen
2024-03-21 07:02:57 -07:00
Brandon Rising
dacfe6853e
Update rc version, regenerate schema
2024-03-20 08:21:23 -07:00
psychedelicious
3f6f8199f6
chore(ui): typegen
2024-03-20 15:05:25 +11:00
psychedelicious
bc12ca9220
chore(ui): typegen
2024-03-20 15:05:25 +11:00
Mary Hipp
b25850a585
typegen
2024-03-19 21:59:51 +11:00
Brandon Rising
330e1354b4
Run typegen, update version to 4.0.0rc2
2024-03-14 17:01:36 -04:00
psychedelicious
c24f2046e7
chore(ui): typegen
2024-03-14 12:34:03 -07:00
psychedelicious
1adaf63253
chore(ui): typegen
2024-03-14 16:03:37 +11:00
psychedelicious
437a413ca3
chore(ui): typegen
2024-03-14 10:53:57 +11:00
Jennifer Player
d0800c4888
ui consistency, moved is_diffusers logic to backend, extended HuggingFaceMetadata, removed logic from service
2024-03-13 21:02:29 +11:00
Jennifer Player
004bca5c42
updated endpoint types
2024-03-13 21:02:29 +11:00
psychedelicious
4433b78e59
chore(ui): typegen
2024-03-10 11:03:38 +11:00
Brandon Rising
6aae88bd88
Rerun typegen
2024-03-08 12:44:58 -05:00
psychedelicious
1f69613f5d
chore(ui): typegen
2024-03-08 12:44:58 -05:00
psychedelicious
dbd7c94e7c
chore(ui): typegen
2024-03-08 12:44:58 -05:00
Brandon Rising
33ded359e6
Run typegen
2024-03-08 11:10:44 -05:00
Brandon Rising
afd08c5f46
Regenerate typegen
2024-03-08 13:59:59 +11:00
Brandon Rising
d1f859a446
Remove civit AI model install resources
2024-03-08 13:59:59 +11:00
