Commit Graph

10246 Commits

Author SHA1 Message Date
psychedelicious
bfe6d98cba feat(ui): support float batches 2025-01-17 12:19:04 +11:00
psychedelicious
c26b3cd54f refactor(ui): abstract out helper to add batch data 2025-01-17 12:19:04 +11:00
psychedelicious
c012d832d2 fix(ui): typo 2025-01-17 12:19:04 +11:00
psychedelicious
9d11d2aabd refactor(ui): abstract out field validators 2025-01-17 12:19:04 +11:00
psychedelicious
a5f1587ce7 feat(ui): add template validation for integer collection items 2025-01-17 12:19:04 +11:00
psychedelicious
0b26bb1ca3 feat(ui): add template validation for string collection items 2025-01-17 12:19:04 +11:00
psychedelicious
0f1e632117 feat(nodes): add float batch node 2025-01-17 12:19:04 +11:00
psychedelicious
b212332b3e feat(ui): support integer batches 2025-01-17 12:19:04 +11:00
psychedelicious
90a91ff438 feat(nodes): add integer batch node 2025-01-17 12:19:04 +11:00
psychedelicious
b52b271dc4 feat(ui): support string batches 2025-01-17 12:19:04 +11:00
psychedelicious
e077fe8046 refactor(ui): streamline image field collection input logic, support multiple images w/ same name in collection 2025-01-17 12:19:04 +11:00
psychedelicious
368957b208 tweak(ui): image field collection input component styling 2025-01-17 12:19:04 +11:00
psychedelicious
27277e1fd6 docs(ui): improved comments for image batch node special handling 2025-01-17 12:19:04 +11:00
psychedelicious
236c0d89e7 feat(nodes): add string batch node 2025-01-17 12:19:04 +11:00
psychedelicious
b807170701 fix(ui): typo in error message for image collection fields 2025-01-17 12:19:04 +11:00
Ryan Dick
0cf51cefe8 Revise the logic for calculating the RAM model cache limit. 2025-01-16 23:46:07 +00:00
Ryan Dick
e5e848d239 Update config docstring. 2025-01-16 22:34:23 +00:00
Ryan Dick
da589b3f1f Memory optimization to load state dicts one module at a time in CachedModelWithPartialLoad when we are not storing a CPU copy of the state dict (i.e. when keep_ram_copy_of_weights=False). 2025-01-16 17:00:33 +00:00
Ryan Dick
36a3869af0 Add keep_ram_copy_of_weights config option. 2025-01-16 15:35:25 +00:00
Ryan Dick
c76d08d1fd Add keep_ram_copy option to CachedModelOnlyFullLoad. 2025-01-16 15:08:23 +00:00
Ryan Dick
04087c38ce Add keep_ram_copy option to CachedModelWithPartialLoad. 2025-01-16 14:51:44 +00:00
Ryan Dick
b2bb359d47 Update the model loading logic for several of the large FLUX-related models to ensure that the model is initialized on the meta device prior to loading the state dict into it. This helps to keep peak memory down. 2025-01-16 02:30:28 +00:00
Mary Hipp
b57aa06d9e take out AbortController logic and simplify dependencies 2025-01-16 09:39:32 +11:00
Mary Hipp
f856246c36 try removing abortcontroller 2025-01-16 09:39:32 +11:00
Mary Hipp
195df2ebe6 remove logic changes, keep logging 2025-01-16 09:39:32 +11:00
Mary Hipp
7b5cef6bd7 lint fix 2025-01-16 09:39:32 +11:00
Mary Hipp
69e7ffaaf5 add logging, remove deps 2025-01-16 09:39:32 +11:00
psychedelicious
993401ad6c fix(ui): hide layer when previewing filter
Previously, when previewing a filter on a layer with some transparency or a filter that changes the alpha, the preview was rendered on top of the layer. The preview blended with the layer, which isn't right.

In this change, the layer is hidden during the preview, and when the filter finishes (having been applied or canceled - the two possible paths), the layer is shown.

Technically, we are hiding and showing the layer's object renderer's konva group, which contains the layer's "real" data.

Another small change was made to prevent a flash of empty layer, by waiting to destroy a previous filter preview image until the new preview image is ready to display.
2025-01-16 09:27:36 +11:00
psychedelicious
8d570dcffc chore(ui): typegen 2025-01-16 09:27:36 +11:00
psychedelicious
3f70e947fd chore: ruff 2025-01-16 09:27:36 +11:00
dunkeroni
157290bef4 add: size option for image noise node and filter 2025-01-16 09:27:36 +11:00
dunkeroni
b7389da89b add: Noise filter on Canvas 2025-01-16 09:27:36 +11:00
dunkeroni
254b89b1f5 add: Blur filter option on canvas 2025-01-16 09:27:36 +11:00
dunkeroni
2b122d7882 add: image noise invocation 2025-01-16 09:27:36 +11:00
dunkeroni
ded9213eb4 trim blur splitting logic 2025-01-16 09:27:36 +11:00
dunkeroni
9d51eb49cd fix: ImageBlurInvocation handles transparency now 2025-01-16 09:27:36 +11:00
dunkeroni
0a6e22bc9e fix: ImagePasteInvocation respects transparency 2025-01-16 09:27:36 +11:00
Ryan Dick
b301785dc8 Normalize the T5 model identifiers so that a FLUX T5 or an SD3 T5 model can be used interchangeably. 2025-01-16 08:33:58 +11:00
psychedelicious
edcdff4f78 fix(ui): round rects when applying transform
Due to the limited floating point precision, and konva's `scale` properties, it is possible for the relative rect of an object to have non-integer coordinates and dimensions.

When we go to rasterize and otherwise export images, the HTML canvas API truncates these numbers.

So, we can end up with situations where the relative width and height of a layer are very close to the "real" value, but slightly off.

For example, width and height might be 512px, but the relative rect is calculated to be something like 512.000000003 or 511.9999999997.

In the first case, the truncation results in 512x512 for the dimensions - which is correct. But in the second case, it results in 511x511!

One place where this causes issues is the image action `New Canvas from image -> As Raster Layer (resize)`. For certain input image sizes, this results in an incorrectly resized image. For example, a 1496x1946 input image is resized to 511x511 pixels when the bbox is 512x512.

To fix this, we can round both coords and dimensions of rects when rasterizing.

I've thought through the implications and done some testing. I believe this change will not cause any regressions and only fix edge cases. But, it's possible that something was inadvertently relying on the old behavior.
2025-01-16 01:17:30 +11:00
psychedelicious
66e04ea7ab fix(ui): sticky preset image tooltip
There's a bug where preset image tooltips get stuck open in the list.

After much fiddling, debugging, and review of upstream dependencies, I have determined that this is bug in Chakra-UI v2.

Specifically, it appears to be a race condition related to the Tooltip component's internal use of the `useDisclosure` hook to manage tooltip open state, and the react render cycle.

Unfortunately, Chakra v2 is no longer being updated, and it's a pain in the butt to vendor and fix that component given its dependencies. Not 100% sure I could easily fix it, anyways.

Fortunately, there is a workaround - reduce the tooltip openDelay to 0ms. I prefer the current 500ms delay but I think it's preferable to have too-quick tooltips than too-sticky tooltips...
2025-01-15 09:12:46 -05:00
Ryan Dick
497bc916cc Add unet_config to get_scheduler(...) call in TiledMultiDiffusionDenoiseLatents. 2025-01-15 08:44:08 -05:00
dunkeroni
ebe1873712 fix: only add prediction type if it exists 2025-01-15 08:44:08 -05:00
dunkeroni
59926c320c support v-prediction in denoise_latents.py 2025-01-15 08:44:08 -05:00
Mary Hipp
2d3e2f1907 use window instead of document 2025-01-14 20:01:08 -05:00
psychedelicious
d88b59c5c4 Revert "feat(ui): rearrange canvas paste back nodes to save an image step"
This reverts commit 7cdda00a54.
2025-01-10 15:59:29 +11:00
psychedelicious
8da9d3bc19 chore: bump version to v5.6.0rc2 2025-01-09 14:12:46 +11:00
psychedelicious
a329588e5a feat: add link to low vram guide to OOM toast (local only)
Needed to do a bit of refactoring to support this. Overall, the error toast components are easier to understand now.
2025-01-09 11:20:05 +11:00
psychedelicious
e09cf64779 feat: more updates to first run view 2025-01-09 11:20:05 +11:00
psychedelicious
e6deaa2d2f feat(ui): minor layout tweaks for first run screen 2025-01-09 11:20:05 +11:00
psychedelicious
5246b31347 feat(ui): add low vram link to first run page 2025-01-09 11:20:05 +11:00