redme updates

This commit is contained in:
AUTOMATIC 2022-09-06 20:57:49 +03:00
parent e994120b6e
commit c6e7c280fc

@ -72,12 +72,55 @@ as model if it has .pth extension. Grab models from the [Model Database](https:/
- webui.bat installs requirements from files `requirements_versions.txt`, which lists versions for modules specifically compatible with Python 3.10.6. If you choose to install for a different version of python, editing `webui.bat` to have `set REQS_FILE=requirements.txt` instead of `set REQS_FILE=requirements_versions.txt` may help (but I still reccomend you to just use the recommended version of python).
- if you feel you broke something and want to reinstall from scratch, delete directories: `venv`, `repositories`.
## Google collab
### Google collab
If you don't want or can't run locally, here is google collab that allows you to run the webui:
https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh
### What options to use for low VRAM videocards?
- If you have 4GB VRAM and want to make 512x512 (or maybe up to 640x640) images, use `--medvram`.
- If you have 4GB VRAM and want to make 512x512 images, but you get an out of memory error with `--medvram`, use `--medvram --opt-split-attention` instead.
- If you have 4GB VRAM and want to make 512x512 images, and you still get an out of memory error, use `--lowvram --always-batch-cond-uncond --opt-split-attention` instead.
- If you have 4GB VRAM and want to make images larger than you can with `--medvram`, use `--lowvram --opt-split-attention`.
- If you have more VRAM and want to make larger images than you can usually make, use `--medvram --opt-split-attention`. You can use `--lowvram`
also but the effect will likely be barely noticeable.
- Otherwise, do not use any of those.
Extra: if you get a green screen instead of generated pictures, you have a card that doesn't support half
precision floating point numbers. You must use `--precision full --no-half` in addition to other flags,
and the model will take much more space in VRAM.
### Running online
Use `--share` option to run online. You will get a xxx.app.gradio link. This is the intended way to use the
program in collabs.
Use `--listen` to make the server listen to network connections. This will allow computers on local newtork
to access the UI, and if you configure port forwarding, also computers on the internet.
### How to change UI defaults?
After running once, a `ui-config.json` file appears in webui directory:
```json
{
"txt2img/Sampling Steps/value": 20,
"txt2img/Sampling Steps/minimum": 1,
"txt2img/Sampling Steps/maximum": 150,
"txt2img/Sampling Steps/step": 1,
"txt2img/Batch count/value": 1,
"txt2img/Batch count/minimum": 1,
"txt2img/Batch count/maximum": 32,
"txt2img/Batch count/step": 1,
"txt2img/Batch size/value": 1,
"txt2img/Batch size/minimum": 1,
```
Edit values to your liking and the next time you launch the program they will be applied.
### Manual instructions
Alternatively, if you don't want to run webui.bat, here are instructions for installing
everything by hand:
@ -152,39 +195,6 @@ Running on local URL: http://127.0.0.1:7860/
Open the URL in browser, and you are good to go.
### What options to use for low VRAM videocards?
- If you have 4GB VRAM and want to make 512x512 (or maybe up to 640x640) images, use `--medvram`.
- If you have 4GB VRAM and want to make 512x512 images, but you get an out of memory error with `--medvram`, use `--medvram --opt-split-attention` instead.
- If you have 4GB VRAM and want to make 512x512 images, and you still get an out of memory error, use `--lowvram --always-batch-cond-uncond --opt-split-attention` instead.
- If you have 4GB VRAM and want to make images larger than you can with `--medvram`, use `--lowvram --opt-split-attention`.
- If you have more VRAM and want to make larger images than you can usually make, use `--medvram --opt-split-attention`. You can use `--lowvram`
also but the effect will likely be barely noticeable.
- Otherwise, do not use any of those.
Extra: if you get a green screen instead of generated pictures, you have a card that doesn't support half
precision floating point numbers. You must use `--precision full --no-half` in addition to other flags,
and the model will take much more space in VRAM.
### How to change UI defaults?
After running once, a `ui-config.json` file appears in webui directory:
```json
{
"txt2img/Sampling Steps/value": 20,
"txt2img/Sampling Steps/minimum": 1,
"txt2img/Sampling Steps/maximum": 150,
"txt2img/Sampling Steps/step": 1,
"txt2img/Batch count/value": 1,
"txt2img/Batch count/minimum": 1,
"txt2img/Batch count/maximum": 32,
"txt2img/Batch count/step": 1,
"txt2img/Batch size/value": 1,
"txt2img/Batch size/minimum": 1,
```
Edit values to your liking and the next time you launch the program they will be applied.
## Credits
- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
- k-diffusion - https://github.com/crowsonkb/k-diffusion.git