- fix "bounding box region only" not being respected when saving
- add toasts for each action
- improve workflow `take()` predicates to use the requestId
- responsive changes were causing a lot of weird layout issues, had to remove the rest of them
- canvas (non-beta) toolbar now wraps
- reduces minH for prompt boxes a bit
1. Model installer works correctly under Windows 11 Terminal
2. Fixed crash when configure script hands control off to installer
3. Kill install subprocess on keyboard interrupt
4. Command-line functionality for --yes configuration and model installation
restored.
5. New command-line features:
- install/delete lists of diffusers, LoRAS, controlnets and textual inversions
using repo ids, paths or URLs.
Help:
```
usage: invokeai-model-install [-h] [--diffusers [DIFFUSERS ...]] [--loras [LORAS ...]] [--controlnets [CONTROLNETS ...]] [--textual-inversions [TEXTUAL_INVERSIONS ...]] [--delete] [--full-precision | --no-full-precision]
[--yes] [--default_only] [--list-models {diffusers,loras,controlnets,tis}] [--config_file CONFIG_FILE] [--root_dir ROOT]
InvokeAI model downloader
options:
-h, --help show this help message and exit
--diffusers [DIFFUSERS ...]
List of URLs or repo_ids of diffusers to install/delete
--loras [LORAS ...] List of URLs or repo_ids of LoRA/LyCORIS models to install/delete
--controlnets [CONTROLNETS ...]
List of URLs or repo_ids of controlnet models to install/delete
--textual-inversions [TEXTUAL_INVERSIONS ...]
List of URLs or repo_ids of textual inversion embeddings to install/delete
--delete Delete models listed on command line rather than installing them
--full-precision, --no-full-precision
use 32-bit weights instead of faster 16-bit weights (default: False)
--yes, -y answer "yes" to all prompts
--default_only only install the default model
--list-models {diffusers,loras,controlnets,tis}
list installed models
--config_file CONFIG_FILE, -c CONFIG_FILE
path to configuration file to create
--root_dir ROOT path to root of install directory
```
There was a potential gotcha in the config system that was previously
merged with main. The `InvokeAIAppConfig` object was configuring itself
from the command line and configuration file within its initialization
routine. However, this could cause it to read `argv` from the command
line at unexpected times. This PR fixes the object so that it only reads
from the init file and command line when its `parse_args()` method is
explicitly called, which should be done at startup time in any top level
script that uses it.
In addition, using the `get_invokeai_config()` function to get a global
version of the config object didn't feel pythonic to me, so I have
changed this to `InvokeAIAppConfig.get_config()` throughout.
## Updated Usage
In the main script, at startup time, do the following:
```
from invokeai.app.services.config import InvokeAIAppConfig
config = InvokeAIAppConfig.get_config()
config.parse_args()
```
In non-main scripts, it is not necessary (or recommended) to call
`parse_args()`:
```
from invokeai.app.services.config import InvokeAIAppConfig
config = InvokeAIAppConfig.get_config()
```
The configuration object properties can be overridden when
`get_config()` is called by passing initialization values in the usual
way. If a property is set this way, then it will not be changed by
subsequent calls to `parse_args()`, but can only be changed by
explicitly setting the property.
```
config = InvokeAIAppConfig.get_config(nsfw_checker=True)
config.parse_args(argv=['--no-nsfw_checker'])
config.nsfw_checker
# True
```
You may specify alternative argv lists and configuration files in
`parse_args()`:
```
config.parse_args(argv=['--no-nsfw_checker'],
conf = OmegaConf.load('/tmp/test.yaml')
)
```
For backward compatibility, the `get_invokeai_config()` function is
still available from the module, but has been removed from the rest of
the source tree.
this PR adds long prompt support and enables compel's new `.and()`
concatenation feature which improves image quality especially with SD2.1
example of a long prompt:
> a moist sloppy pindlesackboy sloppy hamblin' bogomadong, Clem Fandango
is pissed-off, Wario's Woods in background, making a noise like
ga-woink-a
the same prompt broken into fragments and concatenated using `.and()`
(syntax works like `.blend()`):
```
("a moist sloppy pindlesackboy sloppy hamblin' bogomadong",
"Clem Fandango is pissed-off",
"Wario's Woods in background",
"making a noise like ga-woink-a").and()
```
and a less silly example:
> A dream of a distant galaxy, by Caspar David Friedrich, matte
painting, trending on artstation, HQ
the same prompt broken into two fragments and concatenated:
```
("A dream of a distant galaxy, by Caspar David Friedrich, matte painting",
"trending on artstation, HQ").and()
```
as with `.blend()` you can also weight the parts eg `("a man eating an
apple", "sitting on the roof of a car", "high quality, trending on
artstation, 8K UHD").and(1, 0.5, 0.5)` which will assign weight `1` to
`a man eating an apple` and `0.5` to `sitting on the roof of a car` and
`high quality, trending on artstation, 8K UHD`.
