add installer web config

lama_cleaner/const.py

@@ -0,0 +1,68 @@
+import os
+
+DEFAULT_MODEL = "lama"
+AVAILABLE_MODELS = [
+    "lama",
+    "ldm",
+    "zits",
+    "mat",
+    "fcf",
+    "sd1.5",
+    "cv2",
+    "manga",
+    "sd2",
+    "paint_by_example"
+]
+
+AVAILABLE_DEVICES = ["cuda", "cpu", "mps"]
+DEFAULT_DEVICE = 'cuda'
+
+NO_HALF_HELP = """
+Using full precision model.
+If your generate result is always black or green, use this argument. (sd/paint_by_exmaple)
+"""
+
+CPU_OFFLOAD_HELP = """
+Offloads all models to CPU, significantly reducing vRAM usage. (sd/paint_by_example)
+"""
+
+DISABLE_NSFW_HELP = """
+Disable NSFW checker. (sd/paint_by_example)
+"""
+
+SD_CPU_TEXTENCODER_HELP = """
+Run Stable Diffusion text encoder model on CPU to save GPU memory.
+"""
+
+LOCAL_FILES_ONLY_HELP = """
+Use local files only, not connect to Hugging Face server. (sd/paint_by_example)
+"""
+
+ENABLE_XFORMERS_HELP = """
+Enable xFormers optimizations. Requires xformers package has been installed. See: https://github.com/facebookresearch/xformers (sd/paint_by_example)
+"""
+
+DEFAULT_MODEL_DIR = os.getenv(
+    "XDG_CACHE_HOME",
+    os.path.join(os.path.expanduser("~"), ".cache")
+)
+MODEL_DIR_HELP = """
+Model download directory (by setting XDG_CACHE_HOME environment variable), by default model downloaded to ~/.cache
+"""
+
+OUTPUT_DIR_HELP = """
+Only required when --input is directory. Result images will be saved to output directory automatically.
+"""
+
+INPUT_HELP = """
+If input is image, it will be loaded by default.
+If input is directory, you can browse and select image in file manager.
+"""
+
+GUI_HELP = """
+Launch Lama Cleaner as desktop app
+"""
+
+NO_GUI_AUTO_CLOSE_HELP = """
+Prevent backend auto close after the GUI window closed.
+"""