This message is logged _every_ time we retrieve a list of models if there is an invalid model. Previously it logged the _whole_ row which can be a lot of data. Truncate the row to 64 characters to reduce log pollution.
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Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Previously, reactflow appears to have handled an edge case when using its `applyChanges` utility. If a change was provided without an item, it would skip that change. For example, an "add edge" change that somehow passed `null` as the edge, instead of a valid edge.
In our workflow loading and validation logic, invalid edges were removed from the array using `delete edges[i]`. This left "holes" in the array of edges. We then asked `reactflow` to add these edges to state. When it encountered one of the "holes", it skipped over it.
In a recent release (unsure which, somewhere between the latest v11 and ~v12.4) this seems to have changed. It no longer skips over the "holes" and instead trusts the data. This can cause a couple issues:
- Error when loading the workflow if `reactflow` attempt to do anything with the nonexistent edge.
- If somehow the workflow makes it into state with "holes" in the array of edges, all sorts of other stuff breaks when our code does anything with the nonexistent edge.
Two-part fix:
- Update the invalid edge handling to not use `delete edges[i]`. Instead, as we check each edge, we add invalid ones to a set. Then, after all the checks are finished, filter out the invalid edges. The resultant edges array has no holes.
- Simplify the logic around setting nodes and edges in redux. Previously we were using `reactflow`'s `applyChanges` utils, but this does literally nothing except take extra CPU cycles. We can simply set the loaded nodes and edges directly in redux. Perhaps we were using `applyChanges` because it addressed the "holes" issue? Not sure. But we don't need it now.
Closes#7868
Before FLUX Fill was merged, we didn't do any checks for the model variant. We always returned "normal".
To determine if a model is a FLUX Fill model, we need to check the state dict for a specific key. Initially, this logic was too strict and rejected quantized FLUX models. This issue was resolved, but it turns out there is another failure mode - some fine-tunes use a different key.
This change further reduces the strictness, handling the alternate key and also falling back to "normal" if we don't see either key. This effectively restores the previous probing behaviour for all FLUX models.
Closes#7856Closes#7859
The polynomial fit isn't perfect and we end up with alpha values of 1 instead of 0 when applying the mask. This in turn causes issues on canvas where outputs aren't 100% transparent and individual layer bbox calculations are incorrect.
