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docs: remove most references to autoimport

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There's still a few references in `WEB.md` but this doc is very outdated and needs to be totally redone. It's hard to just remove the references without redoing a lot more.

Will need to follow up revising this doc.
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psychedelicious 2024-03-27 15:31:47 +11:00
parent 73c326680a
commit 49a647ad00
4 changed files with 2 additions and 37 deletions
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16
docs/contributing/MODEL_MANAGER.md
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@ -840,22 +840,6 @@ and directories at regular intervals when the size of the cache
exceeds the value specified in Invoke's `convert_cache` configuration
variable.
#### List[str]=installer.scan_directory(scan_dir: Path, install: bool)
This method will recursively scan the directory indicated in
`scan_dir` for new models and either install them in the models
directory or register them in place, depending on the setting of
`install` (default False).
The return value is the list of keys of the new installed/registered
models.
#### installer.sync_to_config()
This method synchronizes models in the models directory and autoimport
directory to those in the `ModelConfigRecordService` database. New
models are registered and orphan models are unregistered.
#### installer.start(invoker)
The `start` method is called by the API intialization routines when

10
docs/features/CONFIGURATION.md
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@ -137,15 +137,7 @@ Most common algorithms are supported, like `md5`, `sha256`, and `sha512`. These
#### Path Settings
These options set the paths of various directories and files used by
InvokeAI. Relative paths are interpreted relative to the root directory, so
if root is `/home/fred/invokeai` and the path is
`autoimport/main`, then the corresponding directory will be located at
`/home/fred/invokeai/autoimport/main`.
Note that the autoimport directory will be searched recursively,
allowing you to organize the models into folders and subfolders in any
way you wish.
These options set the paths of various directories and files used by InvokeAI. Any user-defined paths should be absolute paths.
#### Logging

5
docs/features/LORAS.md
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@ -20,10 +20,7 @@ are applied to generate imagery. LoRAs may be supplied with a
simply apply their effect without being triggered.
LoRAs are typically stored in .safetensors files, which are the most
secure way to store and transmit these types of weights. You may
install any number of `.safetensors` LoRA files simply by copying them
into the `autoimport/lora` directory of the corresponding InvokeAI models
directory (usually `invokeai` in your home directory).
secure way to store and transmit these types of weights.
To use these when generating, open the LoRA menu item in the options
panel, select the LoRAs you want to apply and ensure that they have

8
docs/installation/050_INSTALLING_MODELS.md
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@ -45,11 +45,3 @@ In this situation, you may need to provide some additional information to identi
Say you have a repo ID `monster-labs/control_v1p_sd15_qrcode_monster`, and the model you want is inside the `v2` subfolder.
Add `:v2` to the repo ID and use that when installing the model: `monster-labs/control_v1p_sd15_qrcode_monster:v2`
## Autoimport
In the InvokeAI root directory you will find an `autoimport` directory. On startup, any models in this directory will be installed and copied into the Invoke-managed models directory.
The location of the autoimport directories are controlled by settings in `invokeai.yaml`. See [Configuration](../features/CONFIGURATION.md).
[set up in the config file]: ../features/CONFIGURATION.md#model-marketplace-api-keys