mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-12-24 16:08:55 +01:00
commit
046e2acae1
@ -19,6 +19,7 @@
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Our focus continues to remain on an easy installation experience, and an easy user-interface. While still remaining pretty powerful, in terms of features and speed.
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### Detailed changelog
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* 2.5.23 - 8 Mar 2023 - Experimental support for mac.
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* 2.5.22 - 28 Feb 2023 - Minor styling changes to UI buttons, and the models dropdown.
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* 2.5.22 - 28 Feb 2023 - Lots of UI-related bug fixes. Thanks @patriceac.
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* 2.5.21 - 22 Feb 2023 - An option to control the size of the image thumbnails. You can use the `Display options` in the top-right corner to change this. Thanks @JeLuf.
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@ -95,7 +95,7 @@ if "%ERRORLEVEL%" EQU "0" (
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set PYTHONNOUSERSITE=1
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set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
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call python -m pip install --upgrade sdkit==1.0.43 -q || (
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call python -m pip install --upgrade sdkit==1.0.44 -q || (
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echo "Error updating sdkit"
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)
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)
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@ -106,7 +106,7 @@ if "%ERRORLEVEL%" EQU "0" (
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set PYTHONNOUSERSITE=1
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set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
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call python -m pip install sdkit==1.0.43 || (
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call python -m pip install sdkit==1.0.44 || (
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echo "Error installing sdkit. Sorry about that, please try to:" & echo " 1. Run this installer again." & echo " 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting" & echo " 3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB" & echo " 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
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pause
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exit /b
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@ -81,7 +81,7 @@ if python ../scripts/check_modules.py sdkit sdkit.models ldm transformers numpy
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export PYTHONNOUSERSITE=1
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export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
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python -m pip install --upgrade sdkit==1.0.43 -q
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python -m pip install --upgrade sdkit==1.0.44 -q
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fi
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else
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echo "Installing sdkit: https://pypi.org/project/sdkit/"
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@ -89,7 +89,7 @@ else
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export PYTHONNOUSERSITE=1
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export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
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if python -m pip install sdkit==1.0.43 ; then
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if python -m pip install sdkit==1.0.44 ; then
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echo "Installed."
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else
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fail "sdkit install failed"
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@ -285,6 +285,7 @@ printf "\n\nEasy Diffusion installation complete, starting the server!\n\n"
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SD_PATH=`pwd`
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export PYTORCH_ENABLE_MPS_FALLBACK=1
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export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
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echo "PYTHONPATH=$PYTHONPATH"
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@ -5,6 +5,7 @@ import json
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import traceback
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import logging
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import shlex
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import urllib
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from rich.logging import RichHandler
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from sdkit.utils import log as sdkit_log # hack, so we can overwrite the log config
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@ -54,6 +55,10 @@ APP_CONFIG_DEFAULTS = {
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},
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}
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IMAGE_EXTENSIONS = [".png", ".apng", ".jpg", ".jpeg", ".jfif", ".pjpeg", ".pjp", ".jxl", ".gif", ".webp", ".avif", ".svg"]
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CUSTOM_MODIFIERS_DIR = os.path.abspath(os.path.join(SD_DIR, "..", "modifiers"))
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CUSTOM_MODIFIERS_PORTRAIT_EXTENSIONS=[".portrait", "_portrait", " portrait", "-portrait"]
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CUSTOM_MODIFIERS_LANDSCAPE_EXTENSIONS=[".landscape", "_landscape", " landscape", "-landscape"]
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def init():
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os.makedirs(USER_UI_PLUGINS_DIR, exist_ok=True)
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@ -234,3 +239,90 @@ def open_browser():
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import webbrowser
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webbrowser.open(f"http://localhost:{port}")
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def get_image_modifiers():
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modifiers_json_path = os.path.join(SD_UI_DIR, "modifiers.json")
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modifier_categories = {}
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original_category_order=[]
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with open(modifiers_json_path, "r", encoding="utf-8") as f:
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modifiers_file = json.load(f)
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# The trailing slash is needed to support symlinks
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if not os.path.isdir(f"{CUSTOM_MODIFIERS_DIR}/"):
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return modifiers_file
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# convert modifiers from a list of objects to a dict of dicts
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for category_item in modifiers_file:
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category_name = category_item['category']
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original_category_order.append(category_name)
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category = {}
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for modifier_item in category_item['modifiers']:
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modifier = {}
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for preview_item in modifier_item['previews']:
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modifier[preview_item['name']] = preview_item['path']
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category[modifier_item['modifier']] = modifier
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modifier_categories[category_name] = category
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def scan_directory(directory_path: str, category_name="Modifiers"):
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for entry in os.scandir(directory_path):
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if entry.is_file():
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file_extension = list(filter(lambda e: entry.name.endswith(e), IMAGE_EXTENSIONS))
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if len(file_extension) == 0:
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continue
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modifier_name = entry.name[: -len(file_extension[0])]
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modifier_path = f"custom/{entry.path[len(CUSTOM_MODIFIERS_DIR) + 1:]}"
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# URL encode path segments
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modifier_path = "/".join(map(lambda segment: urllib.parse.quote(segment), modifier_path.split("/")))
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is_portrait = True
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is_landscape = True
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portrait_extension = list(filter(lambda e: modifier_name.lower().endswith(e), CUSTOM_MODIFIERS_PORTRAIT_EXTENSIONS))
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landscape_extension = list(filter(lambda e: modifier_name.lower().endswith(e), CUSTOM_MODIFIERS_LANDSCAPE_EXTENSIONS))
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if len(portrait_extension) > 0:
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is_landscape = False
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modifier_name = modifier_name[: -len(portrait_extension[0])]
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elif len(landscape_extension) > 0:
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is_portrait = False
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modifier_name = modifier_name[: -len(landscape_extension[0])]
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if (category_name not in modifier_categories):
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modifier_categories[category_name] = {}
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category = modifier_categories[category_name]
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if (modifier_name not in category):
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category[modifier_name] = {}
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if (is_portrait or "portrait" not in category[modifier_name]):
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category[modifier_name]["portrait"] = modifier_path
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if (is_landscape or "landscape" not in category[modifier_name]):
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category[modifier_name]["landscape"] = modifier_path
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elif entry.is_dir():
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scan_directory(
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entry.path,
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entry.name if directory_path==CUSTOM_MODIFIERS_DIR else f"{category_name}/{entry.name}",
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)
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scan_directory(CUSTOM_MODIFIERS_DIR)
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custom_categories = sorted(
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[cn for cn in modifier_categories.keys() if cn not in original_category_order],
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key=str.casefold,
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)
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# convert the modifiers back into a list of objects
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modifier_categories_list = []
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for category_name in [*original_category_order, *custom_categories]:
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category = { 'category': category_name, 'modifiers': [] }
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for modifier_name in sorted(modifier_categories[category_name].keys(), key=str.casefold):
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modifier = { 'modifier': modifier_name, 'previews': [] }
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for preview_name, preview_path in modifier_categories[category_name][modifier_name].items():
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modifier['previews'].append({ 'name': preview_name, 'path': preview_path })
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category['modifiers'].append(modifier)
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modifier_categories_list.append(category)
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return modifier_categories_list
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@ -1,4 +1,5 @@
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import os
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import platform
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import torch
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import traceback
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import re
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@ -66,6 +67,9 @@ def get_device_delta(render_devices, active_devices):
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def auto_pick_devices(currently_active_devices):
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global mem_free_threshold
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if platform.system() == "Darwin" and torch.backends.mps.is_available() and torch.backends.mps.is_built():
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return ["mps"]
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if not torch.cuda.is_available():
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return ["cpu"]
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@ -115,11 +119,11 @@ def device_init(context, device):
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validate_device_id(device, log_prefix="device_init")
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if device == "cpu":
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context.device = "cpu"
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if "cuda" not in device:
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context.device = device
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context.device_name = get_processor_name()
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context.half_precision = False
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log.debug(f"Render device CPU available as {context.device_name}")
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log.debug(f"Render device available as {context.device_name}")
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return
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context.device_name = torch.cuda.get_device_name(device)
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@ -134,8 +138,6 @@ def device_init(context, device):
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log.info(f'Setting {device} as active, with precision: {"half" if context.half_precision else "full"}')
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torch.cuda.device(device)
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return
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def needs_to_force_full_precision(context):
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if "FORCE_FULL_PRECISION" in os.environ:
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@ -174,7 +176,7 @@ def validate_device_id(device, log_prefix=""):
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def is_valid():
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if not isinstance(device, str):
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return False
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if device == "cpu":
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if device == "cpu" or device == "mps":
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return True
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if not device.startswith("cuda:") or not device[5:].isnumeric():
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return False
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@ -182,7 +184,7 @@ def validate_device_id(device, log_prefix=""):
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if not is_valid():
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raise EnvironmentError(
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f"{log_prefix}: device id should be 'cpu', or 'cuda:N' (where N is an integer index for the GPU). Got: {device}"
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f"{log_prefix}: device id should be 'cpu', 'mps', or 'cuda:N' (where N is an integer index for the GPU). Got: {device}"
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)
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@ -217,14 +219,14 @@ def is_device_compatible(device):
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def get_processor_name():
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try:
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import platform, subprocess
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import subprocess
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if platform.system() == "Windows":
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return platform.processor()
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elif platform.system() == "Darwin":
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os.environ["PATH"] = os.environ["PATH"] + os.pathsep + "/usr/sbin"
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command = "sysctl -n machdep.cpu.brand_string"
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return subprocess.check_output(command).strip()
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return subprocess.check_output(command, shell=True).decode().strip()
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elif platform.system() == "Linux":
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command = "cat /proc/cpuinfo"
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all_info = subprocess.check_output(command, shell=True).decode().strip()
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@ -25,6 +25,13 @@ NOCACHE_HEADERS = {"Cache-Control": "no-cache, no-store, must-revalidate", "Prag
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class NoCacheStaticFiles(StaticFiles):
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def __init__(self, directory: str):
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# follow_symlink is only available on fastapi >= 0.92.0
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if (os.path.islink(directory)):
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super().__init__(directory = os.path.realpath(directory))
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else:
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super().__init__(directory = directory)
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def is_not_modified(self, response_headers, request_headers) -> bool:
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if "content-type" in response_headers and (
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"javascript" in response_headers["content-type"] or "css" in response_headers["content-type"]
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@ -45,6 +52,13 @@ class SetAppConfigRequest(BaseModel):
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def init():
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if os.path.isdir(app.CUSTOM_MODIFIERS_DIR):
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server_api.mount(
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"/media/modifier-thumbnails/custom",
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NoCacheStaticFiles(directory=app.CUSTOM_MODIFIERS_DIR),
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name="custom-thumbnails",
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)
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server_api.mount("/media", NoCacheStaticFiles(directory=os.path.join(app.SD_UI_DIR, "media")), name="media")
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for plugins_dir, dir_prefix in app.UI_PLUGINS_SOURCES:
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@ -156,7 +170,7 @@ def read_web_data_internal(key: str = None):
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elif key == "models":
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return JSONResponse(model_manager.getModels(), headers=NOCACHE_HEADERS)
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elif key == "modifiers":
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return FileResponse(os.path.join(app.SD_UI_DIR, "modifiers.json"), headers=NOCACHE_HEADERS)
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return JSONResponse(app.get_image_modifiers(), headers=NOCACHE_HEADERS)
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elif key == "ui_plugins":
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return JSONResponse(app.getUIPlugins(), headers=NOCACHE_HEADERS)
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else:
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@ -385,7 +385,7 @@ def get_devices():
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}
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def get_device_info(device):
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if device == "cpu":
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if "cuda" not in device:
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return {"name": device_manager.get_processor_name()}
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mem_free, mem_total = torch.cuda.mem_get_info(device)
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@ -26,7 +26,7 @@
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<div id="logo">
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<h1>
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Easy Diffusion
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<small>v2.5.22 <span id="updateBranchLabel"></span></small>
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<small>v2.5.23 <span id="updateBranchLabel"></span></small>
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</h1>
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</div>
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<div id="server-status">
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