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Corrected typos in shared.py and README

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Steve Eberhardt 2022-09-14 20:04:05 -07:00 committed by AUTOMATIC1111
parent 6a4db7b9a5
commit 4a626f6ea6
2 changed files with 8 additions and 8 deletions
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6
README.md
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@ -174,7 +174,7 @@ also but the effect will likely be barely noticeable.
### Running online ### 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 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 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. 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. 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. 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 https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh

6
modules/shared.py
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@ -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-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("--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-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("--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("--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") 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_keep_models_in_memory": OptionInfo(False, "Interrogate: keep models in VRAM"),
"interrogate_use_builtin_artists": OptionInfo(True, "Interrogate: use artists from artists.csv"), "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_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_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 descripton length", gr.Slider, {"minimum": 1, "maximum": 256, "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)"), "interrogate_clip_dict_limit": OptionInfo(1500, "Interrogate: maximum number of lines in text file (0 = No limit)"),
} }