Merge branch 'release_candidate' into dev

This commit is contained in:
AUTOMATIC 2023-06-27 08:37:46 +03:00
commit 6ac247317d
14 changed files with 202 additions and 85 deletions

View File

@ -4,12 +4,12 @@ onUiLoaded(async() => {
inpaint: "#img2maskimg",
inpaintSketch: "#inpaint_sketch",
rangeGroup: "#img2img_column_size",
sketch: "#img2img_sketch",
sketch: "#img2img_sketch"
};
const tabNameToElementId = {
"Inpaint sketch": elementIDs.inpaintSketch,
"Inpaint": elementIDs.inpaint,
"Sketch": elementIDs.sketch,
"Sketch": elementIDs.sketch
};
// Helper functions
@ -42,43 +42,110 @@ onUiLoaded(async() => {
}
}
// Check is hotkey valid
function isSingleLetter(value) {
// Function for defining the "Ctrl", "Shift" and "Alt" keys
function isModifierKey(event, key) {
switch (key) {
case "Ctrl":
return event.ctrlKey;
case "Shift":
return event.shiftKey;
case "Alt":
return event.altKey;
default:
return false;
}
}
// Check if hotkey is valid
function isValidHotkey(value) {
const specialKeys = ["Ctrl", "Alt", "Shift", "Disable"];
return (
typeof value === "string" && value.length === 1 && /[a-z]/i.test(value)
(typeof value === "string" &&
value.length === 1 &&
/[a-z]/i.test(value)) ||
specialKeys.includes(value)
);
}
// Create hotkeyConfig from opts
// Normalize hotkey
function normalizeHotkey(hotkey) {
return hotkey.length === 1 ? "Key" + hotkey.toUpperCase() : hotkey;
}
// Format hotkey for display
function formatHotkeyForDisplay(hotkey) {
return hotkey.startsWith("Key") ? hotkey.slice(3) : hotkey;
}
// Create hotkey configuration with the provided options
function createHotkeyConfig(defaultHotkeysConfig, hotkeysConfigOpts) {
const result = {};
const usedKeys = new Set();
const result = {}; // Resulting hotkey configuration
const usedKeys = new Set(); // Set of used hotkeys
// Iterate through defaultHotkeysConfig keys
for (const key in defaultHotkeysConfig) {
if (typeof hotkeysConfigOpts[key] === "boolean") {
result[key] = hotkeysConfigOpts[key];
continue;
}
const userValue = hotkeysConfigOpts[key]; // User-provided hotkey value
const defaultValue = defaultHotkeysConfig[key]; // Default hotkey value
// Apply appropriate value for undefined, boolean, or object userValue
if (
hotkeysConfigOpts[key] &&
isSingleLetter(hotkeysConfigOpts[key]) &&
!usedKeys.has(hotkeysConfigOpts[key].toUpperCase())
userValue === undefined ||
typeof userValue === "boolean" ||
typeof userValue === "object" ||
userValue === "disable"
) {
// If the property passed the test and has not yet been used, add 'Key' before it and save it
result[key] = "Key" + hotkeysConfigOpts[key].toUpperCase();
usedKeys.add(hotkeysConfigOpts[key].toUpperCase());
result[key] =
userValue === undefined ? defaultValue : userValue;
} else if (isValidHotkey(userValue)) {
const normalizedUserValue = normalizeHotkey(userValue);
// Check for conflicting hotkeys
if (!usedKeys.has(normalizedUserValue)) {
usedKeys.add(normalizedUserValue);
result[key] = normalizedUserValue;
} else {
// If the property does not pass the test or has already been used, we keep the default value
console.error(
`Hotkey: ${hotkeysConfigOpts[key]} for ${key} is repeated and conflicts with another hotkey or is not 1 letter. The default hotkey is used: ${defaultHotkeysConfig[key][3]}`
`Hotkey: ${formatHotkeyForDisplay(
userValue
)} for ${key} is repeated and conflicts with another hotkey. The default hotkey is used: ${formatHotkeyForDisplay(
defaultValue
)}`
);
result[key] = defaultHotkeysConfig[key];
result[key] = defaultValue;
}
} else {
console.error(
`Hotkey: ${formatHotkeyForDisplay(
userValue
)} for ${key} is not valid. The default hotkey is used: ${formatHotkeyForDisplay(
defaultValue
)}`
);
result[key] = defaultValue;
}
}
return result;
}
// Disables functions in the config object based on the provided list of function names
function disableFunctions(config, disabledFunctions) {
// Bind the hasOwnProperty method to the functionMap object to avoid errors
const hasOwnProperty =
Object.prototype.hasOwnProperty.bind(functionMap);
// Loop through the disabledFunctions array and disable the corresponding functions in the config object
disabledFunctions.forEach(funcName => {
if (hasOwnProperty(funcName)) {
const key = functionMap[funcName];
config[key] = "disable";
}
});
// Return the updated config object
return config;
}
/**
* The restoreImgRedMask function displays a red mask around an image to indicate the aspect ratio.
* If the image display property is set to 'none', the mask breaks. To fix this, the function
@ -100,7 +167,9 @@ onUiLoaded(async() => {
imageARPreview.style.transform = "";
if (parseFloat(mainTab.style.width) > 865) {
const transformString = mainTab.style.transform;
const scaleMatch = transformString.match(/scale\(([-+]?[0-9]*\.?[0-9]+)\)/);
const scaleMatch = transformString.match(
/scale\(([-+]?[0-9]*\.?[0-9]+)\)/
);
let zoom = 1; // default zoom
if (scaleMatch && scaleMatch[1]) {
@ -124,31 +193,52 @@ onUiLoaded(async() => {
// Default config
const defaultHotkeysConfig = {
canvas_hotkey_zoom: "Alt",
canvas_hotkey_adjust: "Ctrl",
canvas_hotkey_reset: "KeyR",
canvas_hotkey_fullscreen: "KeyS",
canvas_hotkey_move: "KeyF",
canvas_hotkey_overlap: "KeyO",
canvas_show_tooltip: true,
canvas_swap_controls: false
canvas_disabled_functions: [],
canvas_show_tooltip: true
};
// swap the actions for ctr + wheel and shift + wheel
const hotkeysConfig = createHotkeyConfig(
const functionMap = {
"Zoom": "canvas_hotkey_zoom",
"Adjust brush size": "canvas_hotkey_adjust",
"Moving canvas": "canvas_hotkey_move",
"Fullscreen": "canvas_hotkey_fullscreen",
"Reset Zoom": "canvas_hotkey_reset",
"Overlap": "canvas_hotkey_overlap"
};
// Loading the configuration from opts
const preHotkeysConfig = createHotkeyConfig(
defaultHotkeysConfig,
hotkeysConfigOpts
);
// Disable functions that are not needed by the user
const hotkeysConfig = disableFunctions(
preHotkeysConfig,
preHotkeysConfig.canvas_disabled_functions
);
let isMoving = false;
let mouseX, mouseY;
let activeElement;
const elements = Object.fromEntries(Object.keys(elementIDs).map((id) => [
const elements = Object.fromEntries(
Object.keys(elementIDs).map(id => [
id,
gradioApp().querySelector(elementIDs[id]),
]));
gradioApp().querySelector(elementIDs[id])
])
);
const elemData = {};
// Apply functionality to the range inputs. Restore redmask and correct for long images.
const rangeInputs = elements.rangeGroup ? Array.from(elements.rangeGroup.querySelectorAll("input")) :
const rangeInputs = elements.rangeGroup ?
Array.from(elements.rangeGroup.querySelectorAll("input")) :
[
gradioApp().querySelector("#img2img_width input[type='range']"),
gradioApp().querySelector("#img2img_height input[type='range']")
@ -180,38 +270,56 @@ onUiLoaded(async() => {
const toolTipElemnt =
targetElement.querySelector(".image-container");
const tooltip = document.createElement("div");
tooltip.className = "tooltip";
tooltip.className = "canvas-tooltip";
// Creating an item of information
const info = document.createElement("i");
info.className = "tooltip-info";
info.className = "canvas-tooltip-info";
info.textContent = "";
// Create a container for the contents of the tooltip
const tooltipContent = document.createElement("div");
tooltipContent.className = "tooltip-content";
tooltipContent.className = "canvas-tooltip-content";
// Add info about hotkeys
const zoomKey = hotkeysConfig.canvas_swap_controls ? "Ctrl" : "Shift";
const adjustKey = hotkeysConfig.canvas_swap_controls ? "Shift" : "Ctrl";
const hotkeys = [
{key: `${zoomKey} + wheel`, action: "Zoom canvas"},
{key: `${adjustKey} + wheel`, action: "Adjust brush size"},
// Define an array with hotkey information and their actions
const hotkeysInfo = [
{
key: hotkeysConfig.canvas_hotkey_reset.charAt(hotkeysConfig.canvas_hotkey_reset.length - 1),
action: "Reset zoom"
configKey: "canvas_hotkey_zoom",
action: "Zoom canvas",
keySuffix: " + wheel"
},
{
key: hotkeysConfig.canvas_hotkey_fullscreen.charAt(hotkeysConfig.canvas_hotkey_fullscreen.length - 1),
configKey: "canvas_hotkey_adjust",
action: "Adjust brush size",
keySuffix: " + wheel"
},
{configKey: "canvas_hotkey_reset", action: "Reset zoom"},
{
configKey: "canvas_hotkey_fullscreen",
action: "Fullscreen mode"
},
{
key: hotkeysConfig.canvas_hotkey_move.charAt(hotkeysConfig.canvas_hotkey_move.length - 1),
action: "Move canvas"
}
{configKey: "canvas_hotkey_move", action: "Move canvas"},
{configKey: "canvas_hotkey_overlap", action: "Overlap"}
];
// Create hotkeys array with disabled property based on the config values
const hotkeys = hotkeysInfo.map(info => {
const configValue = hotkeysConfig[info.configKey];
const key = info.keySuffix ?
`${configValue}${info.keySuffix}` :
configValue.charAt(configValue.length - 1);
return {
key,
action: info.action,
disabled: configValue === "disable"
};
});
for (const hotkey of hotkeys) {
if (hotkey.disabled) {
continue;
}
const p = document.createElement("p");
p.innerHTML = `<b>${hotkey.key}</b> - ${hotkey.action}`;
tooltipContent.appendChild(p);
@ -346,10 +454,7 @@ onUiLoaded(async() => {
// Change the zoom level based on user interaction
function changeZoomLevel(operation, e) {
if (
(!hotkeysConfig.canvas_swap_controls && e.shiftKey) ||
(hotkeysConfig.canvas_swap_controls && e.ctrlKey)
) {
if (isModifierKey(e, hotkeysConfig.canvas_hotkey_zoom)) {
e.preventDefault();
let zoomPosX, zoomPosY;
@ -514,6 +619,13 @@ onUiLoaded(async() => {
event.preventDefault();
action(event);
}
if (
isModifierKey(event, hotkeysConfig.canvas_hotkey_zoom) ||
isModifierKey(event, hotkeysConfig.canvas_hotkey_adjust)
) {
event.preventDefault();
}
}
// Get Mouse position
@ -564,11 +676,7 @@ onUiLoaded(async() => {
changeZoomLevel(operation, e);
// Handle brush size adjustment with ctrl key pressed
if (
(hotkeysConfig.canvas_swap_controls && e.shiftKey) ||
(!hotkeysConfig.canvas_swap_controls &&
(e.ctrlKey || e.metaKey))
) {
if (isModifierKey(e, hotkeysConfig.canvas_hotkey_adjust)) {
e.preventDefault();
// Increase or decrease brush size based on scroll direction

View File

@ -1,10 +1,13 @@
import gradio as gr
from modules import shared
shared.options_templates.update(shared.options_section(('canvas_hotkey', "Canvas Hotkeys"), {
"canvas_hotkey_move": shared.OptionInfo("F", "Moving the canvas"),
"canvas_hotkey_zoom": shared.OptionInfo("Alt", "Zoom canvas", gr.Radio, {"choices": ["Shift","Ctrl", "Alt"]}).info("If you choose 'Shift' you cannot scroll horizontally, 'Alt' can cause a little trouble in firefox"),
"canvas_hotkey_adjust": shared.OptionInfo("Ctrl", "Adjust brush size", gr.Radio, {"choices": ["Shift","Ctrl", "Alt"]}).info("If you choose 'Shift' you cannot scroll horizontally, 'Alt' can cause a little trouble in firefox"),
"canvas_hotkey_move": shared.OptionInfo("F", "Moving the canvas").info("To work correctly in firefox, turn off 'Automatically search the page text when typing' in the browser settings"),
"canvas_hotkey_fullscreen": shared.OptionInfo("S", "Fullscreen Mode, maximizes the picture so that it fits into the screen and stretches it to its full width "),
"canvas_hotkey_reset": shared.OptionInfo("R", "Reset zoom and canvas positon"),
"canvas_hotkey_overlap": shared.OptionInfo("O", "Toggle overlap ( Technical button, neededs for testing )"),
"canvas_hotkey_overlap": shared.OptionInfo("O", "Toggle overlap").info("Technical button, neededs for testing"),
"canvas_show_tooltip": shared.OptionInfo(True, "Enable tooltip on the canvas"),
"canvas_swap_controls": shared.OptionInfo(False, "Swap hotkey combinations for Zoom and Adjust brush resize"),
"canvas_disabled_functions": shared.OptionInfo(["Overlap"], "Disable function that you don't use", gr.CheckboxGroup, {"choices": ["Zoom","Adjust brush size", "Moving canvas","Fullscreen","Reset Zoom","Overlap"]}),
}))

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@ -1,4 +1,4 @@
.tooltip-info {
.canvas-tooltip-info {
position: absolute;
top: 10px;
left: 10px;
@ -15,7 +15,7 @@
z-index: 100;
}
.tooltip-info::after {
.canvas-tooltip-info::after {
content: '';
display: block;
width: 2px;
@ -24,7 +24,7 @@
margin-top: 2px;
}
.tooltip-info::before {
.canvas-tooltip-info::before {
content: '';
display: block;
width: 2px;
@ -32,7 +32,7 @@
background-color: white;
}
.tooltip-content {
.canvas-tooltip-content {
display: none;
background-color: #f9f9f9;
color: #333;
@ -50,7 +50,7 @@
z-index: 100;
}
.tooltip:hover .tooltip-content {
.canvas-tooltip:hover .canvas-tooltip-content {
display: block;
animation: fadeIn 0.5s;
opacity: 1;

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@ -15,7 +15,7 @@ var titles = {
"CFG Scale": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
"Seed": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result",
"\u{1f3b2}\ufe0f": "Set seed to -1, which will cause a new random number to be used every time",
"\u267b\ufe0f": "Reuse seed from last generation, mostly useful if it was randomed",
"\u267b\ufe0f": "Reuse seed from last generation, mostly useful if it was randomized",
"\u2199\ufe0f": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
"\u{1f4c2}": "Open images output directory",
"\u{1f4be}": "Save style",
@ -112,7 +112,7 @@ var titles = {
"Resize height to": "Resizes image to this height. If 0, height is inferred from either of two nearby sliders.",
"Multiplier for extra networks": "When adding extra network such as Hypernetwork or Lora to prompt, use this multiplier for it.",
"Discard weights with matching name": "Regular expression; if weights's name matches it, the weights is not written to the resulting checkpoint. Use ^model_ema to discard EMA weights.",
"Extra networks tab order": "Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order lsited.",
"Extra networks tab order": "Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order listed.",
"Negative Guidance minimum sigma": "Skip negative prompt for steps where image is already mostly denoised; the higher this value, the more skips there will be; provides increased performance in exchange for minor quality reduction."
};

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@ -20,9 +20,7 @@ codeformer = None
def setup_model(dirname):
global model_path
if not os.path.exists(model_path):
os.makedirs(model_path)
os.makedirs(model_path, exist_ok=True)
path = modules.paths.paths.get("CodeFormer", None)
if path is None:

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@ -7,8 +7,7 @@ from modules.paths_internal import extensions_dir, extensions_builtin_dir, scrip
extensions = []
if not os.path.exists(extensions_dir):
os.makedirs(extensions_dir)
os.makedirs(extensions_dir, exist_ok=True)
def active():

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@ -357,6 +357,7 @@ infotext_to_setting_name_mapping = [
('Token merging ratio hr', 'token_merging_ratio_hr'),
('RNG', 'randn_source'),
('NGMS', 's_min_uncond'),
('Pad conds', 'pad_cond_uncond'),
]

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@ -70,11 +70,8 @@ gfpgan_constructor = None
def setup_model(dirname):
global model_path
if not os.path.exists(model_path):
os.makedirs(model_path)
try:
os.makedirs(model_path, exist_ok=True)
from gfpgan import GFPGANer
from facexlib import detection, parsing # noqa: F401
global user_path

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@ -95,8 +95,7 @@ def cleanup_models():
def move_files(src_path: str, dest_path: str, ext_filter: str = None):
try:
if not os.path.exists(dest_path):
os.makedirs(dest_path)
os.makedirs(dest_path, exist_ok=True)
if os.path.exists(src_path):
for file in os.listdir(src_path):
fullpath = os.path.join(src_path, file)

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@ -95,8 +95,7 @@ except Exception:
def setup_model():
if not os.path.exists(model_path):
os.makedirs(model_path)
os.makedirs(model_path, exist_ok=True)
enable_midas_autodownload()

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@ -69,6 +69,7 @@ class CFGDenoiser(torch.nn.Module):
self.init_latent = None
self.step = 0
self.image_cfg_scale = None
self.padded_cond_uncond = False
def combine_denoised(self, x_out, conds_list, uncond, cond_scale):
denoised_uncond = x_out[-uncond.shape[0]:]
@ -133,15 +134,17 @@ class CFGDenoiser(torch.nn.Module):
x_in = x_in[:-batch_size]
sigma_in = sigma_in[:-batch_size]
# TODO add infotext entry
self.padded_cond_uncond = False
if shared.opts.pad_cond_uncond and tensor.shape[1] != uncond.shape[1]:
empty = shared.sd_model.cond_stage_model_empty_prompt
num_repeats = (tensor.shape[1] - uncond.shape[1]) // empty.shape[1]
if num_repeats < 0:
tensor = torch.cat([tensor, empty.repeat((tensor.shape[0], -num_repeats, 1))], axis=1)
self.padded_cond_uncond = True
elif num_repeats > 0:
uncond = torch.cat([uncond, empty.repeat((uncond.shape[0], num_repeats, 1))], axis=1)
self.padded_cond_uncond = True
if tensor.shape[1] == uncond.shape[1] or skip_uncond:
if is_edit_model:
@ -405,6 +408,9 @@ class KDiffusionSampler:
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
if self.model_wrap_cfg.padded_cond_uncond:
p.extra_generation_params["Pad conds"] = True
return samples
def sample(self, p, x, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
@ -438,5 +444,8 @@ class KDiffusionSampler:
's_min_uncond': self.s_min_uncond
}, disable=False, callback=self.callback_state, **extra_params_kwargs))
if self.model_wrap_cfg.padded_cond_uncond:
p.extra_generation_params["Pad conds"] = True
return samples

View File

@ -409,7 +409,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
"enable_emphasis": OptionInfo(True, "Enable emphasis").info("use (text) to make model pay more attention to text and [text] to make it pay less attention"),
"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
"comma_padding_backtrack": OptionInfo(20, "Prompt word wrap length limit", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1}).info("in tokens - for texts shorter than specified, if they don't fit into 75 token limit, move them to the next 75 token chunk"),
"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP nrtwork; 1 ignores none, 2 ignores one layer"),
"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer"),
"upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),
"randn_source": OptionInfo("GPU", "Random number generator source.", gr.Radio, {"choices": ["GPU", "CPU"]}).info("changes seeds drastically; use CPU to produce the same picture across different videocard vendors"),
}))

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@ -298,8 +298,7 @@ def download_and_cache_models(dirname):
download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'
model_file_name = 'face_detection_yunet.onnx'
if not os.path.exists(dirname):
os.makedirs(dirname)
os.makedirs(dirname, exist_ok=True)
cache_file = os.path.join(dirname, model_file_name)
if not os.path.exists(cache_file):

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@ -325,6 +325,11 @@ def normalize_git_url(url):
def install_extension_from_url(dirname, url, branch_name=None):
check_access()
if isinstance(dirname, str):
dirname = dirname.strip()
if isinstance(url, str):
url = url.strip()
assert url, 'No URL specified'
if dirname is None or dirname == "":