diff options
| -rw-r--r-- | README.md | 10 | ||||
| -rw-r--r-- | modules/shared.py | 6 |
2 files changed, 8 insertions, 8 deletions
@@ -112,7 +112,7 @@ You can do this for python, but not for git. to enable appropriate optimization according to low VRAM guide below (for example, `set COMMANDLINE_ARGS=--medvram --opt-split-attention`).
- to prevent the creation of virtual environment and use your system python, use custom parameter replacing `set VENV_DIR=-` (see below).
- 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, using custom parameter `set REQS_FILE=requirements.txt`
+Python 3.10.6. If you choose to install for a different version of python, using custom parameter `set REQS_FILE=requirements.txt`
may help (but I still recommend 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`.
- if you get a green or black screen instead of generated pictures, you have a card that doesn't support half precision
@@ -166,7 +166,7 @@ Here's a list of optimization arguments: - 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 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 (for example 1024x1024 instead of 512x512), 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.
@@ -174,7 +174,7 @@ also but the effect will likely be barely noticeable. ### Running online
Use the `--share` option to run online. You will get a xxx.app.gradio link. This is the intended way to use the
-program in collabs. You may set up authentication for said gradio shared instance with the flag `--gradio-auth username:password`, optionally providing multiple sets of usernames and passwords separated by commas.
+program in Colab. You may set up authentication for said gradio shared instance with the flag `--gradio-auth username:password`, optionally providing multiple sets of usernames and passwords separated by commas.
Use `--listen` to make the server listen to network connections. This will allow computers on the local network
to access the UI, and if you configure port forwarding, also computers on the internet.
@@ -183,9 +183,9 @@ Use `--port xxxx` to make the server listen on a specific port, xxxx being the w all ports below 1024 need root/admin rights, for this reason it is advised to use a port above 1024.
Defaults to port 7860 if available.
-### Google collab
+### Google Colab
-If you don't want or can't run locally, here is a Google colab that allows you to run the webui:
+If you don't want or can't run locally, here is a Google Colab that allows you to run the webui:
https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh
diff --git a/modules/shared.py b/modules/shared.py index 51f29ed7..939d7fe1 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -23,7 +23,7 @@ parser.add_argument("--ckpt", type=str, default=os.path.join(sd_path, sd_model_f parser.add_argument("--gfpgan-dir", type=str, help="GFPGAN directory", default=('./src/gfpgan' if os.path.exists('./src/gfpgan') else './GFPGAN'))
parser.add_argument("--gfpgan-model", type=str, help="GFPGAN model file name", default='GFPGANv1.3.pth')
parser.add_argument("--no-half", action='store_true', help="do not switch the model to 16-bit floats")
-parser.add_argument("--no-progressbar-hiding", action='store_true', help="do not hide progressbar in gradio UI (we hide it because it slows down ML if you have hardware accleration in browser)")
+parser.add_argument("--no-progressbar-hiding", action='store_true', help="do not hide progressbar in gradio UI (we hide it because it slows down ML if you have hardware acceleration in browser)")
parser.add_argument("--max-batch-count", type=int, default=16, help="maximum batch count value for the UI")
parser.add_argument("--embeddings-dir", type=str, default=os.path.join(script_path, 'embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
parser.add_argument("--allow-code", action='store_true', help="allow custom script execution from webui")
@@ -142,8 +142,8 @@ class Options: "interrogate_keep_models_in_memory": OptionInfo(False, "Interrogate: keep models in VRAM"),
"interrogate_use_builtin_artists": OptionInfo(True, "Interrogate: use artists from artists.csv"),
"interrogate_clip_num_beams": OptionInfo(1, "Interrogate: num_beams for BLIP", gr.Slider, {"minimum": 1, "maximum": 16, "step": 1}),
- "interrogate_clip_min_length": OptionInfo(24, "Interrogate: minimum descripton length (excluding artists, etc..)", gr.Slider, {"minimum": 1, "maximum": 128, "step": 1}),
- "interrogate_clip_max_length": OptionInfo(48, "Interrogate: maximum descripton length", gr.Slider, {"minimum": 1, "maximum": 256, "step": 1}),
+ "interrogate_clip_min_length": OptionInfo(24, "Interrogate: minimum description length (excluding artists, etc..)", gr.Slider, {"minimum": 1, "maximum": 128, "step": 1}),
+ "interrogate_clip_max_length": OptionInfo(48, "Interrogate: maximum description length", gr.Slider, {"minimum": 1, "maximum": 256, "step": 1}),
"interrogate_clip_dict_limit": OptionInfo(1500, "Interrogate: maximum number of lines in text file (0 = No limit)"),
}
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