b7c5a39685
make invokeai.yaml more hierarchical; fix list configuration bug
2023-05-17 12:19:19 -04:00
eadfd239a8
update config script to work with new config system
2023-05-17 00:18:19 -04:00
8d75e50435
partial port of invokeai-configure
2023-05-16 01:50:01 -04:00
6ab84741a0
fix(nodes): make ModelsList an enum-keyed dict
...
The `ModelsList` OpenAPI schema is generated as being keyed by plain strings. This means that API consumers do not know the shape of the dict. It _should_ be keyed by the `SDModelType` enum.
Unfortunately, `fastapi` does not actually handle this correctly yet; it still generates the schema with plain string keys.
Adding this anyways though in hopes that it will be resolved upstream and we can get the correct schema. Until then, I'll implement the (simple but annoying) logic on the frontend.
https://github.com/pydantic/pydantic/issues/4393
2023-05-16 15:02:58 +10:00
eea0d6f7bc
default to no filter in list_models()
2023-05-15 23:52:29 -04:00
1d9c115225
feat(nodes): add low and high to RandomIntInvocation
2023-05-16 13:50:52 +10:00
4fe94a9315
list_models() now returns a dict of {type,{name: info}}
2023-05-15 23:44:08 -04:00
426f4eaf7e
adjusted regression tests to work with new SDModelTypes
2023-05-13 22:29:33 -04:00
2623941d91
Merge branch 'main' into lstein/bugfix/compel
2023-05-13 22:23:59 -04:00
baf5451fa0
Merge branch 'main' into lstein/new-model-manager
2023-05-13 22:01:34 -04:00
1103ab2844
merge with main
2023-05-13 21:35:19 -04:00
11b2076b46
implement change to web_config suggested by ebr
2023-05-13 21:33:19 -04:00
039fa73269
Change SDModelType enum to string, fixes(model unload negative locks count, scheduler load error, saftensors convert, wrong logic in del_model, wrong parse metadata in web)
2023-05-14 03:06:26 +03:00
b23c9f1da5
get Tuple type hint syntax right
2023-05-13 14:59:21 -04:00
5e8e3cf464
correct typos in model_manager_service
2023-05-13 14:55:59 -04:00
72967bf118
convert add_model(), del_model(), list_models() etc to use bifurcated names
2023-05-13 14:44:44 -04:00
bc96727cbe
Rewrite latent nodes to new model manager
2023-05-13 16:08:03 +03:00
3b2a054f7a
Add model loader node; unet, clip, vae fields; change compel node to clip field
2023-05-13 04:37:20 +03:00
63db3fc22f
reduce queue check interval to 0.5s
2023-05-12 17:54:26 -04:00
ad0bb3f61a
fix: queue error should not crash InvocationProcessor
...
1. if retrieving an item from the queue raises an exception, the
InvocationProcessor thread crashes, but the API continues running in
a non-functional state. This fixes the issue
2. when there are no items in the queue, sleep 1 second before checking
again.
3. Also ensures the thread isn't crashed if an exception is raised from
invoker, and emits the error event
Intentionally using base Exceptions because for now we don't know which
specific exception to expect.
Fixes (sort of)? #3222
2023-05-12 17:54:26 -04:00
4492044d29
Redo compel node to separate model loading
2023-05-12 23:09:33 +03:00
5431dd5f50
Fix event args
2023-05-12 23:08:03 +03:00
79fecba274
Fix model manager initialization in web ui
2023-05-12 23:05:08 +03:00
e5b7dd63e9
fix(nodes): temporarily disable librarygraphs
...
- Do not retrieve graph from DB until we resolve the issue of changing node schemas causing application to fail to start up due to invalid graphs
2023-05-12 22:33:49 +10:00
af060188bd
Merge branch 'main' into lstein/bugfix/compel
2023-05-12 08:22:18 -04:00
2ef79b8bf3
fix bug in persistent model scheme
2023-05-12 00:14:56 -04:00
9c1e65f3a3
Merge branch 'main' into feat/nodes/add-randomintinvocation
2023-05-12 15:56:41 +12:00
ebec200ba6
Remove unused import
2023-05-12 13:56:02 +10:00
11ecf438f5
latents.py converted to use model manager service; events emitted
2023-05-11 23:33:24 -04:00
0acb8ed85d
Merge branch 'main' into feat/nodes/add-w-h-latentsoutput
2023-05-12 15:23:29 +12:00
8c1c9cd702
Merge branch 'main' into feat/nodes/add-randomintinvocation
2023-05-12 15:21:49 +12:00
af95cef7f9
Merge branch 'main' into fix/nodes/fix-imageoutput-optionals
2023-05-12 15:08:19 +12:00
df5b968954
model manager now running as a service
2023-05-11 21:24:29 -04:00
27dc07d95a
Set zero eta by default(fix ddim scheduler error)
2023-05-11 18:49:27 +03:00
f7dc171c4f
Rename default schedulers across the app
2023-05-12 03:44:20 +12:00
8a836247c8
Add DPMPP Single, Euler Karras and DPMPP2 Multi Karras Schedulers
2023-05-12 02:23:33 +12:00
9a383e456d
Codesplit SCHEDULER_MAP for reusage
2023-05-12 00:40:03 +12:00
c1e7460d39
Merge branch 'main' into unipc-sched
2023-05-12 00:11:09 +12:00
3ffff023b2
Add missing key to scheduler_map
...
It was breaking coz the sampler was not being reset. So needs a key on each. Will simplify this later.
2023-05-12 00:08:50 +12:00
6cf308004a
fix(nodes): remove Optionals on ImageOutputs
2023-05-11 20:54:57 +10:00
d1029138d2
Default to DDIM if scheduler is missing
2023-05-11 22:54:35 +12:00
06b5800d28
Add UniPC Scheduler
2023-05-11 22:43:18 +12:00
483f2ccb56
feat(nodes): add RandomIntInvocation
...
just outputs a single random int
2023-05-11 20:33:32 +10:00
93ced0bec6
feat(nodes): add w/h to latents outputs
...
This reduces the number of nodes needed when working with latents (ie fewer plain integer value nodes)
Also correct a few mistakes in the fields
2023-05-11 20:32:55 +10:00
4333852c37
fix(nodes): fix missing context arg in LatentsToLatents
2023-05-11 19:28:42 +10:00
3baa230077
Merge branch 'main' into lstein/bugfix/compel
2023-05-11 00:50:45 -04:00
8ad8c5c67a
resolve conflicts with main
2023-05-11 00:19:20 -04:00
590942edd7
Merge branch 'main' into lstein/new-model-manager
2023-05-11 00:16:03 -04:00
4627910c5d
added a wrapper model_manager_service and model events
2023-05-11 00:09:19 -04:00
f488b1a7f2
fix(nodes): fix usage of Optional
2023-05-11 11:55:51 +10:00
