Currently translated at 98.2% (1102 of 1122 strings)
translationBot(ui): update translation (Italian)
Currently translated at 97.9% (1099 of 1122 strings)
translationBot(ui): update translation (Italian)
Currently translated at 97.9% (1099 of 1122 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Add class `DefaultInvokeAIAppConfig`, which inherits from `InvokeAIAppConfig`. When instantiated, this class does not parse environment variables, so it outputs a "clean" default config. That's the only difference.
Then, we can use this new class in the 3 places:
- When creating the example config file (no env vars should be here)
- When migrating a v3 config (we want to instantiate the migrated config without env vars, so that when we write it out, they are not written to disk)
- When creating a fresh config file (i.e. on first run with an uninitialized root or new config file path - no env vars here!)
For SSDs, `blake3` is about 10x faster than `blake3_single` - 3 files/second vs 30 files/second.
For spinning HDDs, `blake3` is about 100x slower than `blake3_single` - 300 seconds/file vs 3 seconds/file.
For external drives, `blake3` is always worse, but the difference is highly variable. For external spinning drives, it's probably way worse than internal.
The least offensive algorithm is `blake3_single`, and it's still _much_ faster than any other algorithm.
With the change to model identifiers from v3 to v4, if a user had persisted redux state with the old format, we could get unexpected runtime errors when rehydrating state if we try to access model attributes that no longer exist.
For example, the CLIP Skip component does this:
```ts
CLIP_SKIP_MAP[model.base].maxClip
```
In v3, models had a `base_type` attribute, but it is renamed to `base` in v4. This code therefore causes a runtime error:
- `model.base` is `undefined`
- `CLIP_SKIP_MAP[undefined]` is also undefined
- `undefined.maxClip` is a runtime error!
Resolved by adding a migration for the redux slices that have model identifiers. The migration simply resets the slice or the part of the slice that is affected, when it's simple to do a partial reset.
Closes#6000
* add probe for SDXL controlnet models
* Update invokeai/backend/model_management/model_probe.py
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
* Update invokeai/backend/model_manager/probe.py
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
---------
Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
These all support controlnet processors.
- `pil_to_cv2`
- `cv2_to_pil`
- `pil_to_np`
- `np_to_pil`
- `normalize_image_channel_count` (a readable version of `HWC3` from the controlnet repo)
- `fit_image_to_resolution` (a readable version of `resize_image` from the controlnet repo)
- `non_maximum_suppression` (a readable version of `nms` from the controlnet repo)
- `safe_step` (a readable version of `safe_step` from the controlnet repo)
Some processors, like Canny, didn't use `detect_resolution`. The resultant control images were then resized by the processors from 512x512 to the desired dimensions. The result is that the control images are the right size, but very low quality.
Using detect_resolution fixes this.
- Display a toast on UI launch if the HF token is invalid
- Show form in MM if token is invalid or unable to be verified, let user set the token via this form
This allows users to create simple "profiles" via separate `invokeai.yaml` files.
- Remove `InvokeAIAppConfig.set_root()`, it's extraneous
- Remove `InvokeAIAppConfig.merge_from_file()`, it's extraneous
- Add `--config` to the app arg parser, add `InvokeAIAppConfig._config_file`, and consume in the config singleton getter
- `InvokeAIAppConfig.init_file_path` -> `InvokeAIAppConfig.config_file_path`
The models from INITIAL_MODELS.yaml have been recreated as a structured python object. This data is served on a new route. The model sources are compared against currently-installed models to determine if they are already installed or not.
This flag acts as a proxy for the `get_config()` function to determine if the full application is running.
If it was, the config will set the root, do HF login, etc.
If not (e.g. it's called by an external script), all that stuff will be skipped.
HF login, legacy yaml confs, and default init file are all handled during app setup.
All directories are created as they are needed by the app.
No need to check for a valid root dir - we will make it if it doesn't exist.
This provides a simple way to provide a HF token. If HF reports no valid token, one is prompted for until a valid token is provided, or the user presses Ctrl + C to cancel.
Use the util function to calculate ram cache size on startup. This way, the `ram` setting will always be optimized for a system, even if they add or remove RAM. In other words, the default value is now dynamic.
- Move base of t2i and clip_vision config models to DiffusersBase, which contains
a field to record the model variant (e.g. "fp16")
- This restore the ability to load fp16 t2i and clip_vision models
- Also add defensive coding to load the vanilla model when the fp16 model
has been replaced (or more likely, user's preferences changed since installation)
Co-authored-by: Lincoln Stein <lstein@gmail.com>
When consolidating all the model queries I messed up the query tags. Fixed now, so that when a model is installed, removed, or changed, the list refreshes.
Currently translated at 52.5% (576 of 1096 strings)
translationBot(ui): update translation (Japanese)
Currently translated at 52.0% (570 of 1096 strings)
Co-authored-by: Gohsuke Shimada <ghoskay@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ja/
Translation: InvokeAI/Web UI
Currently translated at 98.2% (1077 of 1096 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.2% (1077 of 1096 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 99.0% (1518 of 1533 strings)
translationBot(ui): update translation (Russian)
Currently translated at 99.0% (1518 of 1533 strings)
Co-authored-by: Васянатор <ilabulanov339@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 97.8% (1510 of 1543 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.1% (1503 of 1532 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.1% (1503 of 1532 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
In order to allow for null and undefined metadata values, this hook returned a symbol to indicate that parsing failed or was pending.
For values where the parsed value will never be null or undefined, it is useful get the value or null (instead of a symbol).
