redme updates

1 files changed, 44 insertions, 34 deletions

diff --git a/README.md b/README.md
index 9a59d1e5..e18c7c4d 100644
--- a/README.md
+++ b/README.md
@@ -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