297931f5d9
Cleaning up prior to submitting ControlNet PR. Mostly turning off diagnostic printing. Also fixed error when there is no controlnet input.
2023-05-26 21:44:00 -04:00
f613c073c1
Added support for specifying which step iteration to start using
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each ControlNet, and which step to end using each controlnet (specified as fraction of total steps)
2023-05-26 21:44:00 -04:00
63d248622c
Refactored ControNet support to consolidate multiple parameters into data struct. Also redid how multiple controlnets are handled.
2023-05-26 21:44:00 -04:00
48485fe92f
Removed last bits of dtype and and device hardwiring from controlnet section
2023-05-26 21:44:00 -04:00
07726af703
Cleaning up mistakes after rebase.
2023-05-26 21:44:00 -04:00
ad1004b485
Cleaning up TextToLatent arg testing
2023-05-26 21:44:00 -04:00
0096fb2790
Added resizing of controlnet image based on noise latent. Fixes a tensor mismatch issue.
2023-05-26 21:44:00 -04:00
9c8c2e49d6
Refactored controlnet nodes: split out controlnet stuff into separate node, stripped controlnet stuff form image processing/analysis nodes.
2023-05-26 21:44:00 -04:00
2005a96847
Prep for splitting pre-processor and controlnet nodes
2023-05-26 21:44:00 -04:00
00a8d60c1b
Added more preprocessor nodes for:
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MidasDepth
ZoeDepth
MLSD
NormalBae
Pidi
LineartAnime
ContentShuffle
Removed pil_output options, ControlNet preprocessors should always output as PIL. Removed diagnostics and other general cleanup.
2023-05-26 21:44:00 -04:00
3aa182390a
changes to base class for controlnet nodes
2023-05-26 21:44:00 -04:00
e44f1d6d4e
Refactored controlnet node to output ControlField that bundles control info.
2023-05-26 21:44:00 -04:00
dfdf8e2ead
Switching to ControlField for output from controlnet nodes.
2023-05-26 21:44:00 -04:00
3a645c4e80
Initial port of controlnet node support from generator-based TextToImageInvocation node to latent-based TextToLatentsInvocation node
2023-05-26 21:44:00 -04:00
113129daf9
Added first controlnet preprocessor node for canny edge detection.
2023-05-26 21:44:00 -04:00
714ad6dbb8
Fixed use of ControlNet control_weight parameter
2023-05-26 21:44:00 -04:00
c0863fa20f
Added support for using multiple control nets. Unfortunately this breaks direct usage of Control node output port ==> TextToLatent control input port -- passing through a Collect node is now required. Working on fixing this...
2023-05-26 21:44:00 -04:00
5d5cdc7716
Added resizing of controlnet image based on noise latent. Fixes a tensor mismatch issue.
2023-05-26 21:44:00 -04:00
93cd818f6a
Refactored controlnet nodes: split out controlnet stuff into separate node, stripped controlnet stuff form image processing/analysis nodes.
2023-05-26 21:44:00 -04:00
598a628790
Prep for splitting pre-processor and controlnet nodes
2023-05-26 21:44:00 -04:00
f3666eda63
Added more preprocessor nodes for:
...
MidasDepth
ZoeDepth
MLSD
NormalBae
Pidi
LineartAnime
ContentShuffle
Removed pil_output options, ControlNet preprocessors should always output as PIL. Removed diagnostics and other general cleanup.
2023-05-26 21:44:00 -04:00
754017b59e
Added an additional "raw_processed_image" output port to controlnets, mainly so could route ImageField to a ShowImage node
2023-05-26 21:44:00 -04:00
21251ce12c
Added HED, LineArt, and OpenPose ControlNet nodes
2023-05-26 21:44:00 -04:00
dc12fa6cd6
changes to base class for controlnet nodes
2023-05-26 21:44:00 -04:00
f2f4c37f19
Refactored ControlNet nodes so they subclass from PreprocessedControlInvocation, and only need to override run_processor(image) (instead of reimplementing invoke())
2023-05-26 21:44:00 -04:00
0864fca641
Resolving conflicts in rebase to origin/main
2023-05-26 21:44:00 -04:00
5e4c0217c7
Switching to ControlField for output from controlnet nodes.
2023-05-26 21:44:00 -04:00
78cd106c23
Initial port of controlnet node support from generator-based TextToImageInvocation node to latent-based TextToLatentsInvocation node
2023-05-26 21:44:00 -04:00
6ed0efa938
Added first controlnet preprocessor node for canny edge detection.
2023-05-26 21:44:00 -04:00
ca0669c337
Resolving rebase conflict
2023-05-26 21:44:00 -04:00
33e13820fc
feat(nodes): remove meta node field; use individual is_intermediate field instead
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as suggested by @Kyle0654
2023-05-25 22:17:14 -04:00
291e9cf14b
fix(nodes): add is_intermediate to all image-outputting nodes
2023-05-25 22:17:14 -04:00
d2c8a53c55
feat(nodes): change intermediates handling
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- `ImageType` is now restricted to `results` and `uploads`.
- Add a reserved `meta` field to nodes to hold the `is_intermediate` boolean. We can extend it in the future to support other node `meta`.
- Add a `is_intermediate` column to the `images` table to hold this. (When `latents`, `conditioning` etc are added to the DB, they will also have this column.)
- All nodes default to `*not* intermediate`. Nodes must explicitly be marked `intermediate` for their outputs to be `intermediate`.
- When building a graph, you can set `node.meta.is_intermediate=True` and it will be handled as an intermediate.
- Add a new `update()` method to the `ImageService`, and a route to call it. Updates have a strict model, currently only `session_id` and `image_category` may be updated.
- Add a new `update()` method to the `ImageRecordStorageService` to update the image record using the model.
2023-05-25 22:17:14 -04:00
05fb0ac2b2
Update latent.py
2023-05-26 10:27:33 +10:00
d4acd49ee3
Update generate.py
2023-05-26 10:27:33 +10:00
3829ffbe66
fix(tests): add --use_memory_db flag; use it in tests
2023-05-25 12:12:31 +10:00
ad619ae880
fix(tests): log db_location
2023-05-25 12:12:31 +10:00
d22ebe08be
fix(tests): log db_location
2023-05-25 12:12:31 +10:00
ee0c6ad86e
fix(cli): fix invocation services for cli
2023-05-25 12:12:31 +10:00
3000436121
chore(nodes): remove unused imports
2023-05-25 12:12:31 +10:00
37cdd91f5d
fix(nodes): use forward declarations for InvocationServices
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Also use `TYPE_CHECKING` to get IDE hints.
2023-05-25 12:12:31 +10:00
ff6b345d45
fix(nodes): rebase fixes
2023-05-24 11:30:47 -04:00
1fb307abf4
feat(nodes): restore canvas functionality (non-latents)
2023-05-24 11:30:47 -04:00
ad39680feb
feat(nodes): wip inpainting nodes prep
2023-05-24 11:30:47 -04:00
1e0ae8404c
feat(nodes): comment out seamless
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this will be a model config feature when model manager is ready
2023-05-24 11:30:47 -04:00
460d555a3d
feat(nodes): add image mul, channel, convert nodes
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also make img node names consistent
2023-05-24 11:30:47 -04:00
66ad04fcfc
feat(nodes): add mask image category
2023-05-24 11:30:47 -04:00
d2c223de8f
feat(nodes): move fully* to new images service
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* except i haven't rebuilt inpaint in latents
2023-05-24 11:30:47 -04:00
dd16f788ed
fix(nodes): fix RangeOfSizeInvocation off-by-one error
2023-05-24 11:30:47 -04:00
b25c1af018
feat(nodes): add RangeOfSizeInvocation
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The `RangeInvocation` is a simple wrapper around `range()`, but you must provide `stop > start`.
`RangeOfSizeInvocation` replaces the `stop` parameter with `size`, so that you can just provide the `start` and `step` and get a range of `size` length.
2023-05-24 11:30:47 -04:00
