talemate/docs/user-guide/agents/visualizer/automatic1111.md
veguAI bb1cf6941b
0.27.0 (#137)
* move memory agent to directory structure

* chromadb settings rework

* memory agent improvements
embedding presets
support switching embeddings without restart
support custom sentence transformer embeddings

* toggle to hide / show disabled clients

* add memory debug tools

* chromadb no longer needs its dedicated config entry

* add missing emits

* fix initial value

* hidden disabled clients no longer cause enumeration issues with client actions

* improve memory agent error handling and hot reloading

* more memory agent error handling

* DEBUG_MEMORY_REQUESTS off

* relock

* sim suite: fix issue with removing or changing characters

* relock

* fix issue where actor dialogue editor would break with multiple characters in the scene

* remove cruft

* implement interrupt function

* margin adjustments

* fix rubber banding issue in world editor when editing certain text fields

* status notification when re-importing vectorb due to embeddings change

* properly open new client context on agent actions

* move jiggle apply to the end of prompt tune stack

* narrator agent length limit and jiggle settings added - also improve post generation cleanup

* progress story prompt improvements

* narrator prompt and cleanup tweaks

* prompt tweak

* revert

* autocomplete dialogue improvements

* Unified process (#141)

* progress to unified process

* --dev arg

* use gunicorn to serve built frontend

* gunicorn config adjustments

* remove dist from gitignore

* revert

* uvicorn instead

* save decode

* graceful shutdown

* refactor unified process

* clean up frontend log messages

* more logging fixes

* 0.27.0

* startup message

* clean up scripts a bit

* fixes to update.bat

* fixes to install.bat

* sim suite supports generation cancellation

* debug

* simplify narrator prompts

* prompt tweaks

* unified docker file

* update docker compose config for unified docker file

* cruft

* fix startup in linux docker

* download punkt so its available

* prompt tweaks

* fix bug when editing scene outline would wipe message history

* add o1 models

* add sampler, scheduler and cfg config to a1111 visualizer

* update installation docs

* visualizer configurable timeout

* memory agent docs

* docs

* relock

* relock

* fix issue where changing embeddings on immutable scene would hang

* remove debug message

* take torch install out of poetry since conditionals don't work.

* torch gets installed through some dependency so put it back into poetry, but reinstall with cuda if cuda support exists

* fix install syntax

* no need for torchvision

* torch cuda install added to linux install script

* add torch cuda install to update.bat

* docs

* docs

* relock

* fix install.sh

* handle torch+cuda install in docker

* docs

* typo
2024-09-23 12:55:34 +03:00

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Markdown

# AUTOMATIC1111
!!! info
This requires you to setup a local instance of the AUTOMATIC1111 API. Follow the instructions from [their GitHub](https://github.com/AUTOMATIC1111/stable-diffusion-webui) to get it running.
Once you have it running, you will want to adjust the `webui-user.bat` in the AUTOMATIC1111 directory to include the following command arguments:
```bat
set COMMANDLINE_ARGS=--api --listen --port 7861
```
Then run the `webui-user.bat` to start the API.
Once your AUTOAMTIC1111 API is running (check with your browser) you can set the Visualizer config to use the `AUTOMATIC1111` backend
## Settings
![Visual agent automatic1111 settings](/talemate/img/0.27.0/automatic1111-settings.png)
##### API URL
The url of the API, if following this example, should be `http://localhost:7861`
##### Steps
The number of steps to use for image generation. More steps will result in higher quality images but will take longer to generate.
##### Sampling Method
Which sampling method to use for image generation.
##### Schedule Type
Which scheduler to use for image generation.
##### CFG Scale
CFG scale for image generation.
##### Model type
Differentiates between `SD1.5` and `SDXL` models. This will dictate the resolution of the image generation and actually matters for the quality so make sure this is set to the correct model type for the model you are using.