# Make InvokeAI package installable by mere mortals
This commit makes InvokeAI 3.0 to be installable via PyPi.org and/or the
installer script. The install process is now pretty much identical to
the 2.3 process, including creating launcher scripts `invoke.sh` and
`invoke.bat`.
Main changes:
1. Moved static web pages into `invokeai/frontend/web` and modified the
API to look for them there. This allows pip to copy the files into the
distribution directory so that user no longer has to be in repo root to
launch, and enables PyPi installations with `pip install invokeai`
2. Update invoke.sh and invoke.bat to launch the new web application
properly. This also changes the wording for launching the CLI from
"generate images" to "explore the InvokeAI node system," since I would
not recommend using the CLI to generate images routinely.
3. Fix a bug in the checkpoint converter script that was identified
during testing.
4. Better error reporting when checkpoint converter fails.
5. Rebuild front end.
# Major improvements to the model installer.
1. The text user interface for `invokeai-model-install` has been
expanded to allow the user to install controlnet, LoRA, textual
inversion, diffusers and checkpoint models. The user can install
interactively (without leaving the TUI), or in batch mode after exiting
the application.
2. The `invokeai-model-install` command now lets you list, add and
delete models from the command line:
## Listing models
```
$ invokeai-model-install --list diffusers
Diffuser models:
analog-diffusion-1.0 not loaded diffusers An SD-1.5 model trained on diverse analog photographs (2.13 GB)
d&d-diffusion-1.0 not loaded diffusers Dungeons & Dragons characters (2.13 GB)
deliberate-1.0 not loaded diffusers Versatile model that produces detailed images up to 768px (4.27 GB)
DreamShaper not loaded diffusers Imported diffusers model DreamShaper
sd-inpainting-1.5 not loaded diffusers RunwayML SD 1.5 model optimized for inpainting, diffusers version (4.27 GB)
sd-inpainting-2.0 not loaded diffusers Stable Diffusion version 2.0 inpainting model (5.21 GB)
stable-diffusion-1.5 not loaded diffusers Stable Diffusion version 1.5 diffusers model (4.27 GB)
stable-diffusion-2.1 not loaded diffusers Stable Diffusion version 2.1 diffusers model, trained on 768 pixel images (5.21 GB)
```
```
$ invokeai-model-install --list tis
Loading Python libraries...
Installed Textual Inversion Embeddings:
EasyNegative
ahx-beta-453407d
```
## Installing models
(this example shows correct handling of a server side error at Civitai)
```
$ invokeai-model-install --diffusers https://civitai.com/api/download/models/46259 Linaqruf/anything-v3.0
Loading Python libraries...
[2023-06-05 22:17:23,556]::[InvokeAI]::INFO --> INSTALLING EXTERNAL MODELS
[2023-06-05 22:17:23,557]::[InvokeAI]::INFO --> Probing https://civitai.com/api/download/models/46259 for import
[2023-06-05 22:17:23,557]::[InvokeAI]::INFO --> https://civitai.com/api/download/models/46259 appears to be a URL
[2023-06-05 22:17:23,763]::[InvokeAI]::ERROR --> An error occurred during downloading /home/lstein/invokeai-test/models/ldm/stable-diffusion-v1/46259: Internal Server Error
[2023-06-05 22:17:23,763]::[InvokeAI]::ERROR --> ERROR DOWNLOADING https://civitai.com/api/download/models/46259: {"error":"Invalid database operation","cause":{"clientVersion":"4.12.0"}}
[2023-06-05 22:17:23,764]::[InvokeAI]::INFO --> Probing Linaqruf/anything-v3.0 for import
[2023-06-05 22:17:23,764]::[InvokeAI]::DEBUG --> Linaqruf/anything-v3.0 appears to be a HuggingFace diffusers repo_id
[2023-06-05 22:17:23,768]::[InvokeAI]::INFO --> Loading diffusers model from Linaqruf/anything-v3.0
[2023-06-05 22:17:23,769]::[InvokeAI]::DEBUG --> Using faster float16 precision
[2023-06-05 22:17:23,883]::[InvokeAI]::ERROR --> An unexpected error occurred while downloading the model: 404 Client Error. (Request ID: Root=1-647e9733-1b0ee3af67d6ac3456b1ebfc)
Revision Not Found for url: https://huggingface.co/Linaqruf/anything-v3.0/resolve/fp16/model_index.json.
Invalid rev id: fp16)
Downloading (…)ain/model_index.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 511/511 [00:00<00:00, 2.57MB/s]
Downloading (…)cial_tokens_map.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 472/472 [00:00<00:00, 6.13MB/s]
Downloading (…)cheduler_config.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 341/341 [00:00<00:00, 3.30MB/s]
Downloading (…)okenizer_config.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 807/807 [00:00<00:00, 11.3MB/s]
```
## Deleting models
```
invokeai-model-install --delete --diffusers anything-v3
Loading Python libraries...
[2023-06-05 22:19:45,927]::[InvokeAI]::INFO --> Processing requested deletions
[2023-06-05 22:19:45,927]::[InvokeAI]::INFO --> anything-v3...
[2023-06-05 22:19:45,927]::[InvokeAI]::INFO --> Deleting the cached model directory for Linaqruf/anything-v3.0
[2023-06-05 22:19:45,948]::[InvokeAI]::WARNING --> Deletion of this model is expected to free 4.3G
```
1. Contents of autoscan directory field are restored after doing an installation.
2. Activate dialogue to choose V2 parameterization when importing from a directory.
3. Remove autoscan directory from init file when its checkbox is unselected.
4. Add widget cycling behavior to install models form.
The processor is automatically selected when model is changed.
But if the user manually changes the processor, processor settings, or disables the new `Auto configure processor` switch, auto processing is disabled.
The user can enable auto configure by turning the switch back on.
When auto configure is enabled, a small dot is overlaid on the expand button to remind the user that the system is not auto configuring the processor for them.
If auto configure is enabled, the processor settings are reset to the default for the selected model.
Add uploading to IAIDndImage
- add `postUploadAction` arg to `imageUploaded` thunk, with several current valid options (set control image, set init, set nodes image, set canvas, or toast)
- updated IAIDndImage to optionally allow click to upload
- when the controlnet model is changed, if there is a default processor for the model set, the processor is changed.
- once a control image is selected (and processed), changing the model does not change the processor - must be manually changed
This handles the case when an image is deleted but is still in use in as eg an init image on canvas, or a control image. If we just delete the image, canvas/controlnet/etc may break (the image would just fail to load).
When an image is deleted, the app checks to see if it is in use in:
- Image to Image
- ControlNet
- Unified Canvas
- Node Editor
The delete dialog will always open if the image is in use anywhere, and the user is advised that deleting the image will reset the feature(s).
Even if the user has ticked the box to not confirm on delete, the dialog will still show if the image is in use somewhere.
