Ryan Dick
6a5cee61be
Tune the working memory estimate for FLUX VAE decoding.
2025-01-07 01:20:15 +00:00
Ryan Dick
bd8017ecd5
Update working memory estimate for VAE decoding when tiling is being applied.
2025-01-07 01:20:15 +00:00
Ryan Dick
299eb94a05
Estimate the working memory required for VAE decoding, since this operations tends to be memory intensive.
2025-01-07 01:20:15 +00:00
Ryan Dick
fc4a22fe78
Allow expensive operations to request more working memory.
2025-01-07 01:20:13 +00:00
Ryan Dick
a167632f09
Calculate model cache size limits dynamically based on the available RAM / VRAM.
2025-01-07 01:14:20 +00:00
Ryan Dick
1321fac8f2
Remove get_cache_size() and set_cache_size() endpoints. These were unused by the frontend and refer to cache fields that are no longer accessible.
2025-01-07 01:06:20 +00:00
Ryan Dick
6a9de1fcf3
Change definition of VRAM in use for the ModelCache from sum of model weights to the total torch.cuda.memory_allocated().
2025-01-07 00:31:53 +00:00
Ryan Dick
e5180c4e6b
Add get_effective_device(...) utility to aid in determining the effective device of models that are partially loaded.
2025-01-07 00:31:00 +00:00
Ryan Dick
2619ef53ca
Handle device casting in ia2_layer.py.
2025-01-07 00:31:00 +00:00
Ryan Dick
bcd29c5d74
Remove all cases where we check the 'model.device'. This is no longer trustworthy now that partial loading is permitted.
2025-01-07 00:31:00 +00:00
Ryan Dick
1b7bb70bde
Improve handling of cases when application code modifies the size of a model after registering it with the model cache.
2025-01-07 00:31:00 +00:00
Ryan Dick
7127040c3a
Remove unused function set_nested_attr(...).
2025-01-07 00:31:00 +00:00
Ryan Dick
ceb2498a67
Add log prefix to model cache logs.
2025-01-07 00:31:00 +00:00
Ryan Dick
d0bfa019be
Add 'enable_partial_loading' config flag.
2025-01-07 00:31:00 +00:00
Ryan Dick
535e45cedf
First pass at adding partial loading support to the ModelCache.
2025-01-07 00:30:58 +00:00
Ryan Dick
c579a218ef
Allow models to be locked in VRAM, even if they have been dropped from the RAM cache (related: https://github.com/invoke-ai/InvokeAI/issues/7513 ).
2025-01-06 23:02:52 +00:00
Riku
f4f7415a3b
fix(app): remove obsolete DEFAULT_PRECISION variable
2025-01-06 11:14:58 +11:00
Mary Hipp
7d6c443d6f
fix(api): limit board_name length to 300 characters
2025-01-06 10:49:49 +11:00
psychedelicious
4815b4ea80
feat(ui): tweak verbiage for model install errors
2025-01-03 11:21:23 -05:00
psychedelicious
d77a6ccd76
fix(ui): model install error toasts not updating correctly
2025-01-03 11:21:23 -05:00
psychedelicious
3e860c8338
feat(ui): starter models filter works with model base
...
For example, "flux" now matches any starter model with a model base of "FLUX".
2025-01-03 11:21:23 -05:00
psychedelicious
4f2ef7ce76
refactor(ui): handle hf vs civitai/other url model install errors separately
...
Previously, we didn't differentiate between model install errors for different types of model install sources, resulting in a buggy UX:
- If a HF model install failed, but it was a HF URL install and not a repo id install, the link to the HF model page was incorrect.
- If a non-HF URL install (e.g. civitai) failed, we treated it as a HF URL install. In this case, if the user's HF token was invalid or unset, we directed the user to set it. If the HF token was valid, we displayed an empty red toast. If it's not a HF URL install, then of course neither of these are correct.
Also, the logic for handling the toasts was a bit complicated.
This change does a few things:
- Consolidate the model install error toasts into one place - the socket.io event handler for the model install error event. There is no more global state for the toasts and there are no hooks managing them.
- Handling the different cases for errors, including all combinations of HF/non-HF and unauthorized/forbidden/unknown.
2025-01-03 11:21:23 -05:00
psychedelicious
d7e9ad52f9
chore(ui): typegen
2025-01-03 11:21:23 -05:00
psychedelicious
b6d7a44004
refactor(events): include full model source in model install events
...
This is required to fix an issue with the MM UI's error handling.
Previously, we only included the model source as a string. That could be an arbitrary URL, file path or HF repo id, but the frontend has no parsing logic to differentiate between these different model sources.
Without access to the type of model source, it is difficult to determine how the user should proceed. For example, if it's HF URL with an HTTP unauthorized error, we should direct the user to log in to HF. But if it's a civitai URL with the same error, we should not direct the user to HF.
There are a variety of related edge cases.
With this change, the full `ModelSource` object is included in each model install event, including error events.
I had to fix some circular import issues, hence the import changes to files other than `events_common.py`.
2025-01-03 11:21:23 -05:00
psychedelicious
e18100ae7e
refactor(ui): move model install error event handling to own file
...
No logic change.
2025-01-03 11:21:23 -05:00
psychedelicious
ad0aa0e6b2
feat(ui): reset canvas layers only resets the layers
2025-01-03 11:02:04 -05:00
Kent Keirsey
94785231ce
Update href to correct link
2025-01-02 09:39:41 +11:00
Ryan Dick
477d87ec31
Fix layer patch dtype selection for CLIP text encoder models.
2024-12-29 21:48:51 +00:00
Ryan Dick
8b4b0ff0cf
Fix bug in CustomConv1d and CustomConv2d patch calculations.
2024-12-29 19:10:19 +00:00
Ryan Dick
6fd9b0a274
Delete old sidecar wrapper implementation. This functionality has moved into the custom layers.
2024-12-29 17:33:08 +00:00
Ryan Dick
a8bef59699
First pass at making custom layer patches work with weights streamed from the CPU to the GPU.
2024-12-29 17:01:37 +00:00
Ryan Dick
6d49ee839c
Switch the LayerPatcher to use 'custom modules' to manage layer patching.
2024-12-29 01:18:30 +00:00
Ryan Dick
0525f967c2
Fix the _autocast_forward_with_patches() function for CustomConv1d and CustomConv2d.
2024-12-29 00:22:37 +00:00
Ryan Dick
2855bb6b41
Update BaseLayerPatch.get_parameters(...) to accept a dict of orig_parameters rather than orig_module. This will enable compatibility between patching and cpu->gpu streaming.
2024-12-28 21:12:53 +00:00
Ryan Dick
20acfc9a00
Raise in CustomEmbedding and CustomGroupNorm if a patch is applied.
2024-12-28 20:49:17 +00:00
Ryan Dick
918f541af8
Add unit test for a SetParameterLayer patch applied to a CustomFluxRMSNorm layer.
2024-12-28 20:44:48 +00:00
Ryan Dick
93e76b61d6
Add CustomFluxRMSNorm layer.
2024-12-28 20:33:38 +00:00
Ryan Dick
f692e217ea
Add patch support to CustomConv1d and CustomConv2d (no unit tests yet).
2024-12-27 22:23:17 +00:00
Ryan Dick
f2981979f9
Get custom layer patches working with all quantized linear layer types.
2024-12-27 22:00:22 +00:00
Ryan Dick
ef970a1cdc
Add support for FluxControlLoRALayer in CustomLinear layers and add a unit test for it.
2024-12-27 21:00:47 +00:00
Ryan Dick
e24e386a27
Add support for patches to CustomModuleMixin and add a single unit test (more to come).
2024-12-27 18:57:13 +00:00
Ryan Dick
b06d61e3c0
Improve custom layer wrap/unwrap logic.
2024-12-27 16:29:48 +00:00
Ryan Dick
7d6ab0ceb2
Add a CustomModuleMixin class with a flag for enabling/disabling autocasting (since it incurs some runtime speed overhead.)
2024-12-26 20:08:30 +00:00
Ryan Dick
a8b2c4c3d2
Add inference tests for all custom module types (i.e. to test autocasting from cpu to device).
2024-12-26 18:33:46 +00:00
Ryan Dick
987c9ae076
Move custom autocast modules to separate files in a custom_modules/ directory.
2024-12-24 22:21:31 +00:00
Ryan Dick
6d7314ac0a
Consolidate the LayerPatching patching modes into a single implementation.
2024-12-24 15:57:54 +00:00
Ryan Dick
80db9537ff
Rename model_patcher.py -> layer_patcher.py.
2024-12-24 15:57:54 +00:00
Ryan Dick
6f926f05b0
Update apply_smart_model_patches() so that layer restore matches the behavior of non-smart mode.
2024-12-24 15:57:54 +00:00
Ryan Dick
61253b91f1
Enable LoRAPatcher.apply_smart_lora_patches(...) throughout the stack.
2024-12-24 15:57:54 +00:00
Ryan Dick
cefcb340d9
Add LoRAPatcher.smart_apply_lora_patches()
2024-12-24 15:57:54 +00:00
