updated web walkthrough
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@ -1,8 +1,8 @@
|
||||
---
|
||||
title: Concepts
|
||||
title: Textual Inversion Embeddings and LoRAs
|
||||
---
|
||||
|
||||
# :material-library-shelves: The Hugging Face Concepts Library and Importing Textual Inversion files
|
||||
# :material-library-shelves: Textual Inversions and LoRAs
|
||||
|
||||
With the advances in research, many new capabilities are available to customize the knowledge and understanding of novel concepts not originally contained in the base model.
|
||||
|
||||
@ -64,21 +64,25 @@ select the embedding you'd like to use. This UI has type-ahead support, so you c
|
||||
|
||||
## Using LoRAs
|
||||
|
||||
LoRA files are models that customize the output of Stable Diffusion image generation.
|
||||
Larger than embeddings, but much smaller than full models, they augment SD with improved
|
||||
understanding of subjects and artistic styles.
|
||||
LoRA files are models that customize the output of Stable Diffusion
|
||||
image generation. Larger than embeddings, but much smaller than full
|
||||
models, they augment SD with improved understanding of subjects and
|
||||
artistic styles.
|
||||
|
||||
Unlike TI files, LoRAs do not introduce novel vocabulary into the model's known tokens. Instead,
|
||||
LoRAs augment the model's weights that are applied to generate imagery. LoRAs may be supplied
|
||||
with a "trigger" word that they have been explicitly trained on, or may simply apply their
|
||||
effect without being triggered.
|
||||
Unlike TI files, LoRAs do not introduce novel vocabulary into the
|
||||
model's known tokens. Instead, LoRAs augment the model's weights that
|
||||
are applied to generate imagery. LoRAs may be supplied with a
|
||||
"trigger" word that they have been explicitly trained on, or may
|
||||
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 `lora` directory of the corresponding InvokeAI models directory (usually `invokeai`
|
||||
in your home directory). For example, you can simply move a Stable Diffusion 1.5 LoRA file to
|
||||
the `sd-1/lora` folder.
|
||||
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).
|
||||
|
||||
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 the appropriate weight recommended by the model provider. Typically, most LoRAs perform best at a weight of .75-1.
|
||||
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
|
||||
the appropriate weight recommended by the model provider. Typically,
|
||||
most LoRAs perform best at a weight of .75-1.
|
||||
|
||||
|
@ -4,15 +4,12 @@ title: InvokeAI Web Server
|
||||
|
||||
# :material-web: InvokeAI Web Server
|
||||
|
||||
As of version 2.0.0, this distribution comes with a full-featured web server
|
||||
(see screenshot).
|
||||
|
||||
To use it, launch the `invoke.sh`/`invoke.bat` script and select
|
||||
option (2). Alternatively, with the InvokeAI environment active, run
|
||||
the `invokeai` script by adding the `--web` option:
|
||||
To run the InvokeAI web server, start the `invoke.sh`/`invoke.bat`
|
||||
script and select option (1). Alternatively, with the InvokeAI
|
||||
environment active, run `invokeai-web`:
|
||||
|
||||
```bash
|
||||
invokeai --web
|
||||
invokeai-web
|
||||
```
|
||||
|
||||
You can then connect to the server by pointing your web browser at
|
||||
@ -28,7 +25,7 @@ invoke.sh --host 0.0.0.0
|
||||
or
|
||||
|
||||
```bash
|
||||
invokeai --web --host 0.0.0.0
|
||||
invokeai-web --host 0.0.0.0
|
||||
```
|
||||
|
||||
## Quick guided walkthrough of the WebUI's features
|
||||
@ -41,20 +38,22 @@ through its various components.
|
||||
The screenshot above shows the Text to Image tab of the WebUI. There are three
|
||||
main sections:
|
||||
|
||||
1. A **control panel** on the left, which contains various settings for text to
|
||||
image generation. The most important part is the text field (currently
|
||||
showing `strawberry sushi`) for entering the text prompt, and the camera icon
|
||||
directly underneath that will render the image. We'll call this the _Invoke_
|
||||
button from now on.
|
||||
1. A **control panel** on the left, which contains various settings
|
||||
for text to image generation. The most important part is the text
|
||||
field (currently showing `fantasy painting, horned demon`) for
|
||||
entering the positive text prompt, another text field right below it for an
|
||||
optional negative text prompt (concepts to exclude), and a _Invoke_ button
|
||||
to begin the image rendering process.
|
||||
|
||||
2. The **current image** section in the middle, which shows a large format
|
||||
version of the image you are currently working on. A series of buttons at the
|
||||
top ("image to image", "Use All", "Use Seed", etc) lets you modify the image
|
||||
in various ways.
|
||||
2. The **current image** section in the middle, which shows a large
|
||||
format version of the image you are currently working on. A series
|
||||
of buttons at the top lets you modify and manipulate the image in
|
||||
various ways.
|
||||
|
||||
3. A \*_gallery_ section on the left that contains a history of the images you
|
||||
3. A **gallery** section on the left that contains a history of the images you
|
||||
have generated. These images are read and written to the directory specified
|
||||
at launch time in `--outdir`.
|
||||
in the `INVOKEAIROOT/invokeai.yaml` initialization file, usually a directory
|
||||
named `outputs` in `INVOKEAIROOT`.
|
||||
|
||||
In addition to these three elements, there are a series of icons for changing
|
||||
global settings, reporting bugs, and changing the theme on the upper right.
|
||||
@ -76,15 +75,11 @@ From top to bottom, these are:
|
||||
with outpainting,and modify interior portions of the image with
|
||||
inpainting, erase portions of a starting image and have the AI fill in
|
||||
the erased region from a text prompt.
|
||||
4. Node Editor - this panel allows you to create
|
||||
4. Node Editor - (experimental) this panel allows you to create
|
||||
pipelines of common operations and combine them into workflows.
|
||||
5. Model Manager - this panel allows you to import and configure new
|
||||
models using URLs, local paths, or HuggingFace diffusers repo_ids.
|
||||
|
||||
The inpainting, outpainting and postprocessing tabs are currently in
|
||||
development. However, limited versions of their features can already be accessed
|
||||
through the Text to Image and Image to Image tabs.
|
||||
|
||||
## Walkthrough
|
||||
|
||||
The following walkthrough will exercise most (but not all) of the WebUI's
|
||||
@ -92,43 +87,54 @@ feature set.
|
||||
|
||||
### Text to Image
|
||||
|
||||
1. Launch the WebUI using `python scripts/invoke.py --web` and connect to it
|
||||
with your browser by accessing `http://localhost:9090`. If the browser and
|
||||
server are running on different machines on your LAN, add the option
|
||||
`--host 0.0.0.0` to the launch command line and connect to the machine
|
||||
hosting the web server using its IP address or domain name.
|
||||
1. Launch the WebUI using launcher option [1] and connect to it with
|
||||
your browser by accessing `http://localhost:9090`. If the browser
|
||||
and server are running on different machines on your LAN, add the
|
||||
option `--host 0.0.0.0` to the `invoke.sh` launch command line and connect to
|
||||
the machine hosting the web server using its IP address or domain
|
||||
name.
|
||||
|
||||
2. If all goes well, the WebUI should come up and you'll see a green
|
||||
`connected` message on the upper right.
|
||||
2. If all goes well, the WebUI should come up and you'll see a green dot
|
||||
meaning `connected` on the upper right.
|
||||
|
||||
![Invoke Web Server - Control Panel](../assets/invoke-control-panel-1.png){ align=right width=300px }
|
||||
|
||||
#### Basics
|
||||
|
||||
1. Generate an image by typing _strawberry sushi_ into the large prompt field
|
||||
on the upper left and then clicking on the Invoke button (the one with the
|
||||
Camera icon). After a short wait, you'll see a large image of sushi in the
|
||||
1. Generate an image by typing _bluebird_ into the large prompt field
|
||||
on the upper left and then clicking on the Invoke button or pressing
|
||||
the return button.
|
||||
After a short wait, you'll see a large image of a bluebird in the
|
||||
image panel, and a new thumbnail in the gallery on the right.
|
||||
|
||||
If you need more room on the screen, you can turn the gallery off by
|
||||
clicking on the **x** to the right of "Your Invocations". You can turn it
|
||||
back on later by clicking the image icon that appears in the gallery's
|
||||
place.
|
||||
If you need more room on the screen, you can turn the gallery off
|
||||
by typing the **g** hotkey. You can turn it back on later by clicking the
|
||||
image icon that appears in the gallery's place. The list of hotkeys can
|
||||
be found by clicking on the keyboard icon above the image gallery.
|
||||
|
||||
The images are written into the directory indicated by the `--outdir` option
|
||||
provided at script launch time. By default, this is `outputs/img-samples`
|
||||
under the InvokeAI directory.
|
||||
|
||||
2. Generate a bunch of strawberry sushi images by increasing the number of
|
||||
requested images by adjusting the Images counter just below the Camera
|
||||
2. Generate a bunch of bluebird images by increasing the number of
|
||||
requested images by adjusting the Images counter just below the Invoke
|
||||
button. As each is generated, it will be added to the gallery. You can
|
||||
switch the active image by clicking on the gallery thumbnails.
|
||||
|
||||
If you'd like to watch the image generation progress, click the hourglass
|
||||
icon above the main image area. As generation progresses, you'll see
|
||||
increasingly detailed versions of the ultimate image.
|
||||
|
||||
3. Try playing with different settings, including image width and height, the
|
||||
Sampler, the Steps and the CFG scale.
|
||||
3. Try playing with different settings, including changing the main
|
||||
model, the image width and height, the Scheduler, the Steps and
|
||||
the CFG scale.
|
||||
|
||||
The _Model_ changes the main model. Thousands of custom models are
|
||||
now available, which generate a variety of image styles and
|
||||
subjects. While InvokeAI comes with a few starter models, it is
|
||||
easy to import new models into the application. See [Installing
|
||||
Models](../installation/050_INSTALLING_MODELS.md) for more details.
|
||||
|
||||
Image _Width_ and _Height_ do what you'd expect. However, be aware that
|
||||
larger images consume more VRAM memory and take longer to generate.
|
||||
|
||||
The _Sampler_ controls how the AI selects the image to display. Some
|
||||
The _Scheduler_ controls how the AI selects the image to display. Some
|
||||
samplers are more "creative" than others and will produce a wider range of
|
||||
variations (see next section). Some samplers run faster than others.
|
||||
|
||||
@ -142,17 +148,27 @@ feature set.
|
||||
to the input prompt. You can go as high or low as you like, but generally
|
||||
values greater than 20 won't improve things much, and values lower than 5
|
||||
will produce unexpected images. There are complex interactions between
|
||||
_Steps_, _CFG Scale_ and the _Sampler_, so experiment to find out what works
|
||||
_Steps_, _CFG Scale_ and the _Scheduler_, so experiment to find out what works
|
||||
for you.
|
||||
|
||||
The _Seed_ controls the series of values returned by InvokeAI's
|
||||
random number generator. Each unique seed value will generate a different
|
||||
image. To regenerate a previous image, simply use the original image's
|
||||
seed value. A slider to the right of the _Seed_ field will change the
|
||||
seed each time an image is generated.
|
||||
|
||||
4. To regenerate a previously-generated image, select the image you want and
|
||||
click _Use All_. This loads the text prompt and other original settings into
|
||||
the control panel. If you then press _Invoke_ it will regenerate the image
|
||||
exactly. You can also selectively modify the prompt or other settings to
|
||||
tweak the image.
|
||||
![Invoke Web Server - Control Panel 2](../assets/control-panel-2.png){ align=right width=400px }
|
||||
|
||||
Alternatively, you may click on _Use Seed_ to load just the image's seed,
|
||||
and leave other settings unchanged.
|
||||
4. To regenerate a previously-generated image, select the image you
|
||||
want and click the asterisk ("*") button at the top of the
|
||||
image. This loads the text prompt and other original settings into
|
||||
the control panel. If you then press _Invoke_ it will regenerate
|
||||
the image exactly. You can also selectively modify the prompt or
|
||||
other settings to tweak the image.
|
||||
|
||||
Alternatively, you may click on the "sprouting plant icon" to load
|
||||
just the image's seed, and leave other settings unchanged or the
|
||||
quote icon to load just the positive and negative prompts.
|
||||
|
||||
5. To regenerate a Stable Diffusion image that was generated by another SD
|
||||
package, you need to know its text prompt and its _Seed_. Copy-paste the
|
||||
@ -161,62 +177,22 @@ feature set.
|
||||
you Invoke, you will get something similar to the original image. It will
|
||||
not be exact unless you also set the correct values for the original
|
||||
sampler, CFG, steps and dimensions, but it will (usually) be close.
|
||||
|
||||
6. To save an image, right click on it to bring up a menu that will
|
||||
let you download the image, save it to a named image gallery, and
|
||||
copy it to the clipboard, among other things.
|
||||
|
||||
#### Variations on a theme
|
||||
#### Upscaling
|
||||
|
||||
1. Let's try generating some variations. Select your favorite sushi image from
|
||||
the gallery to load it. Then select "Use All" from the list of buttons
|
||||
above. This will load up all the settings used to generate this image,
|
||||
including its unique seed.
|
||||
![Invoke Web Server - Upscaling](../assets/upscaling.png){ align=right width=400px }
|
||||
|
||||
Go down to the Variations section of the Control Panel and set the button to
|
||||
On. Set Variation Amount to 0.2 to generate a modest number of variations on
|
||||
the image, and also set the Image counter to `4`. Press the `invoke` button.
|
||||
This will generate a series of related images. To obtain smaller variations,
|
||||
just lower the Variation Amount. You may also experiment with changing the
|
||||
Sampler. Some samplers generate more variability than others. _k_euler_a_ is
|
||||
particularly creative, while _ddim_ is pretty conservative.
|
||||
|
||||
2. For even more variations, experiment with increasing the setting for
|
||||
_Perlin_. This adds a bit of noise to the image generation process. Note
|
||||
that values of Perlin noise greater than 0.15 produce poor images for
|
||||
several of the samplers.
|
||||
|
||||
#### Facial reconstruction and upscaling
|
||||
|
||||
Stable Diffusion frequently produces mangled faces, particularly when there are
|
||||
multiple figures in the same scene. Stable Diffusion has particular issues with
|
||||
generating reallistic eyes. InvokeAI provides the ability to reconstruct faces
|
||||
using either the GFPGAN or CodeFormer libraries. For more information see
|
||||
[POSTPROCESS](POSTPROCESS.md).
|
||||
|
||||
1. Invoke a prompt that generates a mangled face. A prompt that often gives
|
||||
this is "portrait of a lawyer, 3/4 shot" (this is not intended as a slur
|
||||
against lawyers!) Once you have an image that needs some touching up, load
|
||||
it into the Image panel, and press the button with the face icon
|
||||
(highlighted in the first screenshot below). A dialog box will appear. Leave
|
||||
_Strength_ at 0.8 and press \*Restore Faces". If all goes well, the eyes and
|
||||
other aspects of the face will be improved (see the second screenshot)
|
||||
|
||||
![Invoke Web Server - Original Image](../assets/invoke-web-server-3.png)
|
||||
|
||||
![Invoke Web Server - Retouched Image](../assets/invoke-web-server-4.png)
|
||||
|
||||
The facial reconstruction _Strength_ field adjusts how aggressively the face
|
||||
library will try to alter the face. It can be as high as 1.0, but be aware
|
||||
that this often softens the face airbrush style, losing some details. The
|
||||
default 0.8 is usually sufficient.
|
||||
|
||||
2. "Upscaling" is the process of increasing the size of an image while
|
||||
retaining the sharpness. InvokeAI uses an external library called "ESRGAN"
|
||||
to do this. To invoke upscaling, simply select an image and press the _HD_
|
||||
button above it. You can select between 2X and 4X upscaling, and adjust the
|
||||
upscaling strength, which has much the same meaning as in facial
|
||||
reconstruction. Try running this on one of your previously-generated images.
|
||||
|
||||
3. Finally, you can run facial reconstruction and/or upscaling automatically
|
||||
after each Invocation. Go to the Advanced Options section of the Control
|
||||
Panel and turn on _Restore Face_ and/or _Upscale_.
|
||||
"Upscaling" is the process of increasing the size of an image while
|
||||
retaining the sharpness. InvokeAI uses an external library called
|
||||
"ESRGAN" to do this. To invoke upscaling, simply select an image
|
||||
and press the "expanding arrows" button above it. You can select
|
||||
between 2X and 4X upscaling, and adjust the upscaling strength,
|
||||
which has much the same meaning as in facial reconstruction. Try
|
||||
running this on one of your previously-generated images.
|
||||
|
||||
### Image to Image
|
||||
|
||||
@ -224,24 +200,14 @@ InvokeAI lets you take an existing image and use it as the basis for a new
|
||||
creation. You can use any sort of image, including a photograph, a scanned
|
||||
sketch, or a digital drawing, as long as it is in PNG or JPEG format.
|
||||
|
||||
For this tutorial, we'll use files named
|
||||
[Lincoln-and-Parrot-512.png](../assets/Lincoln-and-Parrot-512.png), and
|
||||
[Lincoln-and-Parrot-512-transparent.png](../assets/Lincoln-and-Parrot-512-transparent.png).
|
||||
Download these images to your local machine now to continue with the
|
||||
walkthrough.
|
||||
For this tutorial, we'll use the file named
|
||||
[Lincoln-and-Parrot-512.png](../assets/Lincoln-and-Parrot-512.png).
|
||||
|
||||
1. Click on the _Image to Image_ tab icon, which is the second icon from the
|
||||
top on the left-hand side of the screen:
|
||||
1. Click on the _Image to Image_ tab icon, which is the second icon
|
||||
from the top on the left-hand side of the screen. This will bring
|
||||
you to a screen similar to the one shown here:
|
||||
|
||||
<figure markdown>
|
||||
![Invoke Web Server - Image to Image Icon](../assets/invoke-web-server-5.png)
|
||||
</figure>
|
||||
|
||||
This will bring you to a screen similar to the one shown here:
|
||||
|
||||
<figure markdown>
|
||||
![Invoke Web Server - Image to Image Tab](../assets/invoke-web-server-6.png){:width="640px"}
|
||||
</figure>
|
||||
![Invoke Web Server - Image to Image Tab](../assets/invoke-web-server-6.png){ width="640px" }
|
||||
|
||||
2. Drag-and-drop the Lincoln-and-Parrot image into the Image panel, or click
|
||||
the blank area to get an upload dialog. The image will load into an area
|
||||
@ -255,120 +221,97 @@ walkthrough.
|
||||
![Invoke Web Server - Image to Image example](../assets/invoke-web-server-7.png){:width="640px"}
|
||||
|
||||
4. Experiment with the different settings. The most influential one in Image to
|
||||
Image is _Image to Image Strength_ located about midway down the control
|
||||
Image is _Denoising Strength_ located about midway down the control
|
||||
panel. By default it is set to 0.75, but can range from 0.0 to 0.99. The
|
||||
higher the value, the more of the original image the AI will replace. A
|
||||
value of 0 will leave the initial image completely unchanged, while 0.99
|
||||
will replace it completely. However, the Sampler and CFG Scale also
|
||||
will replace it completely. However, the _Scheduler_ and _CFG Scale_ also
|
||||
influence the final result. You can also generate variations in the same way
|
||||
as described in Text to Image.
|
||||
|
||||
5. What if we only want to change certain part(s) of the image and leave the
|
||||
rest intact? This is called Inpainting, and a future version of the InvokeAI
|
||||
web server will provide an interactive painting canvas on which you can
|
||||
directly draw the areas you wish to Inpaint into. For now, you can achieve
|
||||
this effect by using an external photoeditor tool to make one or more
|
||||
regions of the image transparent as described in [INPAINTING.md] and
|
||||
uploading that.
|
||||
|
||||
The file
|
||||
[Lincoln-and-Parrot-512-transparent.png](../assets/Lincoln-and-Parrot-512-transparent.png)
|
||||
is a version of the earlier image in which the area around the parrot has
|
||||
been replaced with transparency. Click on the "x" in the upper right of the
|
||||
Initial Image and upload the transparent version. Using the same prompt "old
|
||||
sea captain with raven on shoulder" try Invoking an image. This time, only
|
||||
the parrot will be replaced, leaving the rest of the original image intact:
|
||||
|
||||
<figure markdown>
|
||||
![Invoke Web Server - Inpainting](../assets/invoke-web-server-8.png){:width="640px"}
|
||||
</figure>
|
||||
5. What if we only want to change certain part(s) of the image and
|
||||
leave the rest intact? This is called Inpainting, and you can do
|
||||
it in the [Unified Canvas](UNIFIED_CANVAS.md). The Unified Canvas
|
||||
also allows you to extend borders of the image and fill in the
|
||||
blank areas, a process called outpainting.
|
||||
|
||||
6. Would you like to modify a previously-generated image using the Image to
|
||||
Image facility? Easy! While in the Image to Image panel, hover over any of
|
||||
the gallery images to see a little menu of icons pop up. Click the picture
|
||||
icon to instantly send the selected image to Image to Image as the initial
|
||||
image.
|
||||
Image facility? Easy! While in the Image to Image panel, drag and drop any
|
||||
image in the gallery into the Initial Image area, and it will be ready for
|
||||
use. You can do the same thing with the main image display. Click on the
|
||||
_Send to_ icon to get a menu of
|
||||
commands and choose "Send to Image to Image".
|
||||
|
||||
![Send To Icon](../assets/send-to-icon.png)
|
||||
|
||||
You can do the same from the Text to Image tab by clicking on the picture icon
|
||||
above the central image panel. The screenshot below shows where the "use as
|
||||
initial image" icons are located.
|
||||
### Textual Inversion, LoRA and ControlNet
|
||||
|
||||
![Invoke Web Server - Use as Image Links](../assets/invoke-web-server-9.png){:width="640px"}
|
||||
InvokeAI supports several different types of model files that
|
||||
extending the capabilities of the main model by adding artistic
|
||||
styles, special effects, or subjects. By mixing and matching textual
|
||||
inversion, LoRA and ControlNet models, you can achieve many
|
||||
interesting and beautiful effects.
|
||||
|
||||
### Unified Canvas
|
||||
We will give an example using a LoRA model named "Ink Scenery". This
|
||||
LoRA, which can be downloaded from Civitai (civitai.com), is
|
||||
specialized to paint landscapes that look like they were made with
|
||||
dripping india ink. To install this LoRA, we first download it and
|
||||
put it into the `autoimport/lora` folder located inside the
|
||||
`invokeai` root directory. After restarting the web server, the
|
||||
LoRA will now become available for use.
|
||||
|
||||
See the [Unified Canvas Guide](UNIFIED_CANVAS.md)
|
||||
To see this LoRA at work, we'll first generate an image without it
|
||||
using the standard `stable-diffusion-v1-5` model. Choose this
|
||||
model and enter the prompt "mountains, ink". Here is a typical
|
||||
generated image, a mountain range rendered in ink and watercolor
|
||||
wash:
|
||||
|
||||
## Reference
|
||||
![Ink Scenery without LoRA](../assets/lora-example-0.png){ width=512px }
|
||||
|
||||
### Additional Options
|
||||
Now let's install and activate the Ink Scenery LoRA. Go to
|
||||
https://civitai.com/models/78605/ink-scenery-or and download the LoRA
|
||||
model file to `invokeai/autoimport/lora` and restart the web
|
||||
server. (Alternatively, you can use [InvokeAI's Web Model
|
||||
Manager](../installation/050_INSTALLING_MODELS.md) to download and
|
||||
install the LoRA directly by typing its URL into the _Import
|
||||
Models_->_Location_ field).
|
||||
|
||||
| parameter <img width=160 align="right"> | effect |
|
||||
| --------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| `--web_develop` | Starts the web server in development mode. |
|
||||
| `--web_verbose` | Enables verbose logging |
|
||||
| `--cors [CORS ...]` | Additional allowed origins, comma-separated |
|
||||
| `--host HOST` | Web server: Host or IP to listen on. Set to 0.0.0.0 to accept traffic from other devices on your network. |
|
||||
| `--port PORT` | Web server: Port to listen on |
|
||||
| `--certfile CERTFILE` | Web server: Path to certificate file to use for SSL. Use together with --keyfile |
|
||||
| `--keyfile KEYFILE` | Web server: Path to private key file to use for SSL. Use together with --certfile' |
|
||||
| `--gui` | Start InvokeAI GUI - This is the "desktop mode" version of the web app. It uses Flask to create a desktop app experience of the webserver. |
|
||||
Scroll down the control panel until you get to the LoRA accordion
|
||||
section, and open it:
|
||||
|
||||
### Web Specific Features
|
||||
![LoRA Section](../assets/lora-example-1.png){ width=512px }
|
||||
|
||||
The web experience offers an incredibly easy-to-use experience for interacting
|
||||
with the InvokeAI toolkit. For detailed guidance on individual features, see the
|
||||
Feature-specific help documents available in this directory. Note that the
|
||||
latest functionality available in the CLI may not always be available in the Web
|
||||
interface.
|
||||
Click the popup menu and select "Ink scenery". (If it isn't there, then
|
||||
the model wasn't installed to the right place, or perhaps you forgot
|
||||
to restart the web server.) The LoRA section will change to look like this:
|
||||
|
||||
#### Dark Mode & Light Mode
|
||||
![LoRA Section Loaded](../assets/lora-example-2.png){ width=512px }
|
||||
|
||||
The InvokeAI interface is available in a nano-carbon black & purple Dark Mode,
|
||||
and a "burn your eyes out Nosferatu" Light Mode. These can be toggled by
|
||||
clicking the Sun/Moon icons at the top right of the interface.
|
||||
Note that there is now a slider control for _Ink scenery_. The slider
|
||||
controls how much influence the LoRA model will have on the generated
|
||||
image.
|
||||
|
||||
![InvokeAI Web Server - Dark Mode](../assets/invoke_web_dark.png)
|
||||
Run the "mountains, ink" prompt again and observe the change in style:
|
||||
|
||||
![InvokeAI Web Server - Light Mode](../assets/invoke_web_light.png)
|
||||
![Ink Scenery](../assets/lora-example-3.png){ width=512px }
|
||||
|
||||
#### Invocation Toolbar
|
||||
Try adjusting the weight slider for larger and smaller weights and
|
||||
generate the image after each adjustment. The higher the weight, the
|
||||
more influence the LoRA will have.
|
||||
|
||||
The left side of the InvokeAI interface is available for customizing the prompt
|
||||
and the settings used for invoking your new image. Typing your prompt into the
|
||||
open text field and clicking the Invoke button will produce the image based on
|
||||
the settings configured in the toolbar.
|
||||
Multiple LoRAs can be mixed together and combined with textual
|
||||
inversions and ControlNet models. Please see [Textual Inversions and
|
||||
LoRAs](CONCEPTS.md) and [Using ControlNet](CONTROLNET.md) for details.
|
||||
|
||||
See below for additional documentation related to each feature:
|
||||
## Summary
|
||||
|
||||
- [Variations](./VARIATIONS.md)
|
||||
- [Upscaling](./POSTPROCESS.md#upscaling)
|
||||
- [Image to Image](./IMG2IMG.md)
|
||||
- [Other](./OTHER.md)
|
||||
|
||||
#### Invocation Gallery
|
||||
|
||||
The currently selected --outdir (or the default outputs folder) will display all
|
||||
previously generated files on load. As new invocations are generated, these will
|
||||
be dynamically added to the gallery, and can be previewed by selecting them.
|
||||
Each image also has a simple set of actions (e.g., Delete, Use Seed, Use All
|
||||
Parameters, etc.) that can be accessed by hovering over the image.
|
||||
|
||||
#### Image Workspace
|
||||
|
||||
When an image from the Invocation Gallery is selected, or is generated, the
|
||||
image will be displayed within the center of the interface. A quickbar of common
|
||||
image interactions are displayed along the top of the image, including:
|
||||
|
||||
- Use image in the `Image to Image` workflow
|
||||
- Initialize Face Restoration on the selected file
|
||||
- Initialize Upscaling on the selected file
|
||||
- View File metadata and details
|
||||
- Delete the file
|
||||
This walkthrough just skims the surface of the many things InvokeAI
|
||||
can do. Please see [Features](index.md) for more detailed reference
|
||||
guides.
|
||||
|
||||
## Acknowledgements
|
||||
|
||||
A huge shout-out to the core team working to make this vision a reality,
|
||||
A huge shout-out to the core team working to make the Web GUI a reality,
|
||||
including [psychedelicious](https://github.com/psychedelicious),
|
||||
[Kyle0654](https://github.com/Kyle0654) and
|
||||
[blessedcoolant](https://github.com/blessedcoolant).
|
||||
|