Commit Graph

312 Commits

Author SHA1 Message Date
psychedelicious
afd9ae7712 tidy(mm): remove convenience methods from high level model manager service
These were added as a hold-me-over for the nodes API changes, no longer needed. A followup commit will fix the nodes API to not rely on these.
2024-03-07 10:56:59 +11:00
psychedelicious
48119d9010 revert(mm): restore convert route 2024-03-05 23:50:19 +11:00
psychedelicious
4f9bb00275 tidy(api): tidy mm routes
Rename MM routes to be consistent:
- "import" -> "install"
- "model_record" -> "model"

Comment several unused routes while I work (may end up removing them?):
- list model summary (we use the search route instead)
- add model record
- convert model
- merge models
2024-03-05 23:50:19 +11:00
psychedelicious
5551cf8ac4 feat(mm): revise update_model to use ModelRecordChanges 2024-03-05 23:50:19 +11:00
psychedelicious
44c40d7d1a refactor(mm): remove unused metadata logic, fix tests
- Metadata is merged with the config. We can simplify the MM substantially and remove the handling for metadata.
- Per discussion, we don't have an ETA for frontend implementation of tags, and with the realization that the tags from CivitAI are largely useless, there's no reason to keep tags in the MM right now. When we are ready to implement tags on the frontend, we can refer back to the implementation here and use it if it supports the design.
- Fix all tests.
2024-03-05 23:50:19 +11:00
psychedelicious
c3aa985c93 refactor(mm): get metadata working 2024-03-05 23:50:19 +11:00
psychedelicious
a8cd3dfc99 refactor(mm): add models table (schema WIP), rename "original_hash" -> "hash" 2024-03-05 23:50:19 +11:00
psychedelicious
0cce582f2f tidy(mm): remove current_hash 2024-03-05 23:50:19 +11:00
psychedelicious
bd4fd9693d tidy(mm): rename ckpt "last_modified" -> "converted_at"
Clarify what this timestamp means
2024-03-05 23:50:19 +11:00
psychedelicious
9b40c28144 tidy(mm): rename ckpy "config" -> "config_path" 2024-03-05 23:50:19 +11:00
psychedelicious
b880a31039 refactor(mm): remove ztsnr_training field on _MainConfig
This is used to determine the CFG Rescale Multiplier setting. We'll handle this in the UI as a default setting.
2024-03-05 23:50:19 +11:00
psychedelicious
dd31bc4586 refactor(mm): remove vae field on _MainConfig
We will handle default VAE selection in the UI.
2024-03-05 23:50:19 +11:00
Mary Hipp Rogers
8b34f5298c
Default model settings (#5850)
* UI in MM to create trigger phrases

* add scheduler and vaePrecision to config

* UI for configuring default settings for models'

* hook MM default model settings up to API

* add button to set default settings in parameters

* pull out trigger phrases

* back-end for default settings

* lint

* remove log;
gi

* ruff

* ruff format

---------

Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2024-03-04 09:39:03 -05:00
Brandon Rising
893bcd16fc Next: Allow in place local installs of models 2024-03-04 23:11:41 +11:00
Brandon Rising
01898d766f Fix merge with next 2024-03-01 10:42:33 +11:00
Brandon Rising
f16e64084b Ruff checks 2024-03-01 10:42:33 +11:00
psychedelicious
202e739404 tidy(api): remove non-heuristic install route 2024-03-01 10:42:33 +11:00
psychedelicious
8d8f1abd50 feat(api): add MM get_by_attrs route
Gets the first model that matches the given name, base and type. Raises 404 if there isn't one.

This will be used for backwards compatibility with old metadata.
2024-03-01 10:42:33 +11:00
psychedelicious
531d6f40f4 feat(mm): add logic to scan_folder route to check if a model is already installed
This was done in the frontend before but it's something the backend should handle.

The logic compares the found model paths to the path and source of all installed models. It excludes core models.
2024-03-01 10:42:33 +11:00
psychedelicious
c98668e7f5 feat(api): mm metadata route "meta" -> "metadata" 2024-03-01 10:42:33 +11:00
maryhipp
65b0d3d436 fix convert endpoint logic 2024-03-01 10:42:33 +11:00
maryhipp
5b7633f3c6 allow metadata-less models to be used for GET metadata endpoint 2024-03-01 10:42:33 +11:00
Lincoln Stein
cc41e8912c several small model install enhancements
- Support extended HF repoid syntax in TUI. This allows
  installation of subfolders and safetensors files, as in
  `XpucT/Deliberate::Deliberate_v5.safetensors`

- Add `error` and `error_traceback` properties to the install
  job objects.

- Rename the `heuristic_import` route to `heuristic_install`.

- Fix the example `config` input in the `heuristic_install` route.
2024-03-01 10:42:33 +11:00
Brandon Rising
f7fc20459a Run ruff 2024-03-01 10:42:33 +11:00
Mary Hipp
9269bdd233 rename endpoint for scanning 2024-03-01 10:42:33 +11:00
Brandon Rising
97cfcd2eef Create /search endpoint, update model object structure in scan model page 2024-03-01 10:42:33 +11:00
psychedelicious
a37b60db13 feat(bulk_download): update response model, messages 2024-03-01 10:42:33 +11:00
Stefan Tobler
a8d7cf4e97 refactoring handlers to do null check 2024-03-01 10:42:33 +11:00
Stefan Tobler
037cac8154 removing dependency on an output folder, embrace python temp folder for bulk download 2024-03-01 10:42:33 +11:00
Stefan Tobler
b5a9ed351d moving the responsibility of cleaning up board names to the service not the route 2024-03-01 10:42:33 +11:00
Stefan Tobler
f15aa562c2 using temp directory for downloads 2024-03-01 10:42:33 +11:00
Stefan Tobler
d0f3571e59 returning the bulk_download_item_name on response for possible polling 2024-03-01 10:42:33 +11:00
Stefan Tobler
79eb871683 cleaning up bulk download zip after the response is complete 2024-03-01 10:42:33 +11:00
Stefan Tobler
7d91426d8f refactoring bulk_download to be better managed 2024-03-01 10:42:33 +11:00
Stefan Tobler
795fbf0e81 refactoring bulkdownload to consider image category 2024-03-01 10:42:33 +11:00
Stefan Tobler
52b0deb179 reworking some of the logic to use a default room, adding endpoint to download file on complete 2024-03-01 10:42:33 +11:00
Stefan Tobler
7ecc18938b linted and styling 2024-03-01 10:42:33 +11:00
Stefan Tobler
56d2d220a8 implementation of bulkdownload background task 2024-03-01 10:42:33 +11:00
Stefan Tobler
f1967c3393 adding socket events for bulk download 2024-03-01 10:42:33 +11:00
psychedelicious
725c03cf87 refactor(nodes): merge processors
Consolidate graph processing logic into session processor.

With graphs as the unit of work, and the session queue distributing graphs, we no longer need the invocation queue or processor.

Instead, the session processor dequeues the next session and processes it in a simple loop, greatly simplifying the app.

- Remove `graph_execution_manager` service.
- Remove `queue` (invocation queue) service.
- Remove `processor` (invocation processor) service.
- Remove queue-related logic from `Invoker`. It now only starts and stops the services, providing them with access to other services.
- Remove unused `invocation_retrieval_error` and `session_retrieval_error` events, these are no longer needed.
- Clean up stats service now that it is less coupled to the rest of the app.
- Refactor cancellation logic - cancellations now originate from session queue (i.e. HTTP cancel endpoint) and are emitted as events. Processor gets the events and sets the canceled event. Access to this event is provided to the invocation context for e.g. the step callback.
- Remove `sessions` router; it provided access to `graph_executions` but that no longer exists.
2024-03-01 10:42:33 +11:00
psychedelicious
5a3195f757 final tidying before marking PR as ready for review
- Replace AnyModelLoader with ModelLoaderRegistry
- Fix type check errors in multiple files
- Remove apparently unneeded `get_model_config_enum()` method from model manager
- Remove last vestiges of old model manager
- Updated tests and documentation

resolve conflict with seamless.py
2024-03-01 10:42:33 +11:00
Lincoln Stein
996eb96b4e Fix issues identified during PR review by RyanjDick and brandonrising
- ModelMetadataStoreService is now injected into ModelRecordStoreService
  (these two services are really joined at the hip, and should someday be merged)
- ModelRecordStoreService is now injected into ModelManagerService
- Reduced timeout value for the various installer and download wait*() methods
- Introduced a Mock modelmanager for testing
- Removed bare print() statement with _logger in the install helper backend.
- Removed unused code from model loader init file
- Made `locker` a private variable in the `LoadedModel` object.
- Fixed up model merge frontend (will be deprecated anyway!)
2024-03-01 10:42:33 +11:00
Lincoln Stein
b0835db47d improve swagger documentation 2024-03-01 10:42:33 +11:00
Lincoln Stein
3e330d7d9d fix a number of typechecking errors 2024-03-01 10:42:33 +11:00
Lincoln Stein
ff6e94f828 add route for model conversion from safetensors to diffusers
- Begin to add SwaggerUI documentation for AnyModelConfig and other
  discriminated Unions.
2024-03-01 10:42:33 +11:00
Lincoln Stein
4027e845d4 add back the heuristic_import() method and extend repo_ids to arbitrary file paths 2024-03-01 10:42:33 +11:00
Lincoln Stein
a23dedd2ee make model manager v2 ready for PR review
- Replace legacy model manager service with the v2 manager.

- Update invocations to use new load interface.

- Fixed many but not all type checking errors in the invocations. Most
  were unrelated to model manager

- Updated routes. All the new routes live under the route tag
  `model_manager_v2`. To avoid confusion with the old routes,
  they have the URL prefix `/api/v2/models`. The old routes
  have been de-registered.

- Added a pytest for the loader.

- Updated documentation in contributing/MODEL_MANAGER.md
2024-03-01 10:42:33 +11:00
Lincoln Stein
78ef946e01 BREAKING CHANGES: invocations now require model key, not base/type/name
- Implement new model loader and modify invocations and embeddings

- Finish implementation loaders for all models currently supported by
  InvokeAI.

- Move lora, textual_inversion, and model patching support into
  backend/embeddings.

- Restore support for model cache statistics collection (a little ugly,
  needs work).

- Fixed up invocations that load and patch models.

- Move seamless and silencewarnings utils into better location
2024-03-01 10:42:33 +11:00
Lincoln Stein
8ba5360269 model loading and conversion implemented for vaes 2024-03-01 10:42:33 +11:00
psychedelicious
fece935438 feat(nodes): use TemporaryDirectory to handle ephemeral storage in ObjectSerializerDisk
Replace `delete_on_startup: bool` & associated logic with `ephemeral: bool` and `TemporaryDirectory`.

The temp dir is created inside of `output_dir`. For example, if `output_dir` is `invokeai/outputs/tensors/`, then the temp dir might be `invokeai/outputs/tensors/tmpvj35ht7b/`.

The temp dir is cleaned up when the service is stopped, or when it is GC'd if not properly stopped.

In the event of a catastrophic crash where the temp files are not cleaned up, the user can delete the tempdir themselves.

This situation may not occur in normal use, but if you kill the process, python cannot clean up the temp dir itself. This includes running the app in a debugger and killing the debugger process - something I do relatively often.

Tests updated.
2024-03-01 10:42:33 +11:00