From 00dfe27f59727407c5b408a80ff2a262934df495 Mon Sep 17 00:00:00 2001
From: Aarni Koskela
Date: Mon, 29 May 2023 08:54:13 +0300
Subject: Add & use modules.errors.print_error where currently printing
exception info by hand
---
extensions-builtin/LDSR/scripts/ldsr_model.py | 7 ++-----
extensions-builtin/ScuNET/scripts/scunet_model.py | 6 +++---
2 files changed, 5 insertions(+), 8 deletions(-)
(limited to 'extensions-builtin')
diff --git a/extensions-builtin/LDSR/scripts/ldsr_model.py b/extensions-builtin/LDSR/scripts/ldsr_model.py
index c4da79f3..95f1669d 100644
--- a/extensions-builtin/LDSR/scripts/ldsr_model.py
+++ b/extensions-builtin/LDSR/scripts/ldsr_model.py
@@ -1,9 +1,8 @@
import os
-import sys
-import traceback
from basicsr.utils.download_util import load_file_from_url
+from modules.errors import print_error
from modules.upscaler import Upscaler, UpscalerData
from ldsr_model_arch import LDSR
from modules import shared, script_callbacks
@@ -51,10 +50,8 @@ class UpscalerLDSR(Upscaler):
try:
return LDSR(model, yaml)
-
except Exception:
- print("Error importing LDSR:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ print_error("Error importing LDSR", exc_info=True)
return None
def do_upscale(self, img, path):
diff --git a/extensions-builtin/ScuNET/scripts/scunet_model.py b/extensions-builtin/ScuNET/scripts/scunet_model.py
index 45d9297b..dd1b822e 100644
--- a/extensions-builtin/ScuNET/scripts/scunet_model.py
+++ b/extensions-builtin/ScuNET/scripts/scunet_model.py
@@ -1,6 +1,5 @@
import os.path
import sys
-import traceback
import PIL.Image
import numpy as np
@@ -12,6 +11,8 @@ from basicsr.utils.download_util import load_file_from_url
import modules.upscaler
from modules import devices, modelloader, script_callbacks
from scunet_model_arch import SCUNet as net
+
+from modules.errors import print_error
from modules.shared import opts
@@ -38,8 +39,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
scaler_data = modules.upscaler.UpscalerData(name, file, self, 4)
scalers.append(scaler_data)
except Exception:
- print(f"Error loading ScuNET model: {file}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ print_error(f"Error loading ScuNET model: {file}", exc_info=True)
if add_model2:
scaler_data2 = modules.upscaler.UpscalerData(self.model_name2, self.model_url2, self)
scalers.append(scaler_data2)
--
cgit v1.2.3
From 8ab4e55fe3a7f953201eeb887de664f0db3d9e93 Mon Sep 17 00:00:00 2001
From: Danil Boldyrev
Date: Mon, 29 May 2023 21:39:10 +0300
Subject: Moved the script to the extension build-in
---
.../canvas-zoom-and-pan/javascript/zoom.js | 428 +++++++++++++++++++++
javascript/zoom.js | 428 ---------------------
2 files changed, 428 insertions(+), 428 deletions(-)
create mode 100644 extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
delete mode 100644 javascript/zoom.js
(limited to 'extensions-builtin')
diff --git a/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js b/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
new file mode 100644
index 00000000..4bbec34f
--- /dev/null
+++ b/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
@@ -0,0 +1,428 @@
+// Main
+
+// Helper functions
+// Get active tab
+function getActiveTab(elements, all = false) {
+ const tabs = elements.img2imgTabs.querySelectorAll("button");
+
+ if (all) return tabs;
+
+ for (let tab of tabs) {
+ if (tab.classList.contains("selected")) {
+ return tab;
+ }
+ }
+}
+
+onUiLoaded(async() => {
+ const hotkeysConfig = {
+ resetZoom: "KeyR",
+ fitToScreen: "KeyS",
+ moveKey: "KeyF",
+ overlap: "KeyO"
+ };
+
+ let isMoving = false;
+ let mouseX, mouseY;
+
+ const elementIDs = {
+ sketch: "#img2img_sketch",
+ inpaint: "#img2maskimg",
+ inpaintSketch: "#inpaint_sketch",
+ img2imgTabs: "#mode_img2img .tab-nav"
+ };
+
+ async function getElements() {
+ const elements = await Promise.all(
+ Object.values(elementIDs).map(id => document.querySelector(id))
+ );
+ return Object.fromEntries(
+ Object.keys(elementIDs).map((key, index) => [key, elements[index]])
+ );
+ }
+
+ const elements = await getElements();
+
+ function applyZoomAndPan(targetElement, elemId) {
+ targetElement.style.transformOrigin = "0 0";
+ let [zoomLevel, panX, panY] = [1, 0, 0];
+ let fullScreenMode = false;
+
+ // In the course of research, it was found that the tag img is very harmful when zooming and creates white canvases. This hack allows you to almost never think about this problem, it has no effect on webui.
+ function fixCanvas() {
+ const activeTab = getActiveTab(elements).textContent.trim();
+
+ if (activeTab !== "img2img") {
+ const img = targetElement.querySelector(`${elemId} img`);
+
+ if (img && img.style.display !== "none") {
+ img.style.display = "none";
+ img.style.visibility = "hidden";
+ }
+ }
+ }
+
+ // Reset the zoom level and pan position of the target element to their initial values
+ function resetZoom() {
+ zoomLevel = 1;
+ panX = 0;
+ panY = 0;
+
+ fixCanvas();
+ targetElement.style.transform = `scale(${zoomLevel}) translate(${panX}px, ${panY}px)`;
+
+ const canvas = gradioApp().querySelector(
+ `${elemId} canvas[key="interface"]`
+ );
+
+ toggleOverlap("off");
+ fullScreenMode = false;
+
+ if (
+ canvas &&
+ parseFloat(canvas.style.width) > 865 &&
+ parseFloat(targetElement.style.width) > 865
+ ) {
+ fitToElement();
+ return;
+ }
+
+ targetElement.style.width = "";
+ if (canvas) {
+ targetElement.style.height = canvas.style.height;
+ }
+ }
+
+ // Toggle the zIndex of the target element between two values, allowing it to overlap or be overlapped by other elements
+ function toggleOverlap(forced = "") {
+ const zIndex1 = "0";
+ const zIndex2 = "998";
+
+ targetElement.style.zIndex =
+ targetElement.style.zIndex !== zIndex2 ? zIndex2 : zIndex1;
+
+ if (forced === "off") {
+ targetElement.style.zIndex = zIndex1;
+ } else if (forced === "on") {
+ targetElement.style.zIndex = zIndex2;
+ }
+ }
+
+ // Adjust the brush size based on the deltaY value from a mouse wheel event
+ function adjustBrushSize(
+ elemId,
+ deltaY,
+ withoutValue = false,
+ percentage = 5
+ ) {
+ const input =
+ gradioApp().querySelector(
+ `${elemId} input[aria-label='Brush radius']`
+ ) ||
+ gradioApp().querySelector(
+ `${elemId} button[aria-label="Use brush"]`
+ );
+
+ if (input) {
+ input.click();
+ if (!withoutValue) {
+ const maxValue =
+ parseFloat(input.getAttribute("max")) || 100;
+ const changeAmount = maxValue * (percentage / 100);
+ const newValue =
+ parseFloat(input.value) +
+ (deltaY > 0 ? -changeAmount : changeAmount);
+ input.value = Math.min(Math.max(newValue, 0), maxValue);
+ input.dispatchEvent(new Event("change"));
+ }
+ }
+ }
+
+ // Reset zoom when uploading a new image
+ const fileInput = gradioApp().querySelector(
+ `${elemId} input[type="file"][accept="image/*"].svelte-116rqfv`
+ );
+ fileInput.addEventListener("click", resetZoom);
+
+ // Update the zoom level and pan position of the target element based on the values of the zoomLevel, panX and panY variables
+ function updateZoom(newZoomLevel, mouseX, mouseY) {
+ newZoomLevel = Math.max(0.5, Math.min(newZoomLevel, 15));
+ panX += mouseX - (mouseX * newZoomLevel) / zoomLevel;
+ panY += mouseY - (mouseY * newZoomLevel) / zoomLevel;
+
+ targetElement.style.transformOrigin = "0 0";
+ targetElement.style.transform = `translate(${panX}px, ${panY}px) scale(${newZoomLevel})`;
+
+ toggleOverlap("on");
+ return newZoomLevel;
+ }
+
+ // Change the zoom level based on user interaction
+ function changeZoomLevel(operation, e) {
+ if (e.shiftKey) {
+ e.preventDefault();
+
+ let zoomPosX, zoomPosY;
+ let delta = 0.2;
+ if (zoomLevel > 7) {
+ delta = 0.9;
+ } else if (zoomLevel > 2) {
+ delta = 0.6;
+ }
+
+ zoomPosX = e.clientX;
+ zoomPosY = e.clientY;
+
+ fullScreenMode = false;
+ zoomLevel = updateZoom(
+ zoomLevel + (operation === "+" ? delta : -delta),
+ zoomPosX - targetElement.getBoundingClientRect().left,
+ zoomPosY - targetElement.getBoundingClientRect().top
+ );
+ }
+ }
+
+ /**
+ * This function fits the target element to the screen by calculating
+ * the required scale and offsets. It also updates the global variables
+ * zoomLevel, panX, and panY to reflect the new state.
+ */
+
+ function fitToElement() {
+ //Reset Zoom
+ targetElement.style.transform = `translate(${0}px, ${0}px) scale(${1})`;
+
+ // Get element and screen dimensions
+ const elementWidth = targetElement.offsetWidth;
+ const elementHeight = targetElement.offsetHeight;
+ const parentElement = targetElement.parentElement;
+ const screenWidth = parentElement.clientWidth;
+ const screenHeight = parentElement.clientHeight;
+
+ // Get element's coordinates relative to the parent element
+ const elementRect = targetElement.getBoundingClientRect();
+ const parentRect = parentElement.getBoundingClientRect();
+ const elementX = elementRect.x - parentRect.x;
+
+ // Calculate scale and offsets
+ const scaleX = screenWidth / elementWidth;
+ const scaleY = screenHeight / elementHeight;
+ const scale = Math.min(scaleX, scaleY);
+
+ const transformOrigin =
+ window.getComputedStyle(targetElement).transformOrigin;
+ const [originX, originY] = transformOrigin.split(" ");
+ const originXValue = parseFloat(originX);
+ const originYValue = parseFloat(originY);
+
+ const offsetX =
+ (screenWidth - elementWidth * scale) / 2 -
+ originXValue * (1 - scale);
+ const offsetY =
+ (screenHeight - elementHeight * scale) / 2.5 -
+ originYValue * (1 - scale);
+
+ // Apply scale and offsets to the element
+ targetElement.style.transform = `translate(${offsetX}px, ${offsetY}px) scale(${scale})`;
+
+ // Update global variables
+ zoomLevel = scale;
+ panX = offsetX;
+ panY = offsetY;
+
+ fullScreenMode = false;
+ toggleOverlap("off");
+ }
+
+ /**
+ * This function fits the target element to the screen by calculating
+ * the required scale and offsets. It also updates the global variables
+ * zoomLevel, panX, and panY to reflect the new state.
+ */
+
+ // Fullscreen mode
+ function fitToScreen() {
+ const canvas = gradioApp().querySelector(
+ `${elemId} canvas[key="interface"]`
+ );
+
+ if (!canvas) return;
+
+ if (canvas.offsetWidth > 862) {
+ targetElement.style.width = canvas.offsetWidth + "px";
+ }
+
+ if (fullScreenMode) {
+ resetZoom();
+ fullScreenMode = false;
+ return;
+ }
+
+ //Reset Zoom
+ targetElement.style.transform = `translate(${0}px, ${0}px) scale(${1})`;
+
+ // Get element and screen dimensions
+ const elementWidth = targetElement.offsetWidth;
+ const elementHeight = targetElement.offsetHeight;
+ const screenWidth = window.innerWidth;
+ const screenHeight = window.innerHeight;
+
+ // Get element's coordinates relative to the page
+ const elementRect = targetElement.getBoundingClientRect();
+ const elementY = elementRect.y;
+ const elementX = elementRect.x;
+
+ // Calculate scale and offsets
+ const scaleX = screenWidth / elementWidth;
+ const scaleY = screenHeight / elementHeight;
+ const scale = Math.min(scaleX, scaleY);
+
+ // Get the current transformOrigin
+ const computedStyle = window.getComputedStyle(targetElement);
+ const transformOrigin = computedStyle.transformOrigin;
+ const [originX, originY] = transformOrigin.split(" ");
+ const originXValue = parseFloat(originX);
+ const originYValue = parseFloat(originY);
+
+ // Calculate offsets with respect to the transformOrigin
+ const offsetX =
+ (screenWidth - elementWidth * scale) / 2 -
+ elementX -
+ originXValue * (1 - scale);
+ const offsetY =
+ (screenHeight - elementHeight * scale) / 2 -
+ elementY -
+ originYValue * (1 - scale);
+
+ // Apply scale and offsets to the element
+ targetElement.style.transform = `translate(${offsetX}px, ${offsetY}px) scale(${scale})`;
+
+ // Update global variables
+ zoomLevel = scale;
+ panX = offsetX;
+ panY = offsetY;
+
+ fullScreenMode = true;
+ toggleOverlap("on");
+ }
+
+ // Handle keydown events
+ function handleKeyDown(event) {
+ const hotkeyActions = {
+ [hotkeysConfig.resetZoom]: resetZoom,
+ [hotkeysConfig.overlap]: toggleOverlap,
+ [hotkeysConfig.fitToScreen]: fitToScreen
+ // [hotkeysConfig.moveKey] : moveCanvas,
+ };
+
+ const action = hotkeyActions[event.code];
+ if (action) {
+ event.preventDefault();
+ action(event);
+ }
+ }
+
+ // Get Mouse position
+ function getMousePosition(e) {
+ mouseX = e.offsetX;
+ mouseY = e.offsetY;
+ }
+
+ targetElement.addEventListener("mousemove", getMousePosition);
+
+ // Handle events only inside the targetElement
+ let isKeyDownHandlerAttached = false;
+
+ function handleMouseMove() {
+ if (!isKeyDownHandlerAttached) {
+ document.addEventListener("keydown", handleKeyDown);
+ isKeyDownHandlerAttached = true;
+ }
+ }
+
+ function handleMouseLeave() {
+ if (isKeyDownHandlerAttached) {
+ document.removeEventListener("keydown", handleKeyDown);
+ isKeyDownHandlerAttached = false;
+ }
+ }
+
+ // Add mouse event handlers
+ targetElement.addEventListener("mousemove", handleMouseMove);
+ targetElement.addEventListener("mouseleave", handleMouseLeave);
+
+ // Reset zoom when click on another tab
+ elements.img2imgTabs.addEventListener("click", resetZoom);
+ elements.img2imgTabs.addEventListener("click", () => {
+ // targetElement.style.width = "";
+ if (parseInt(targetElement.style.width) > 865) {
+ setTimeout(fitToElement, 0);
+ }
+ });
+
+ targetElement.addEventListener("wheel", e => {
+ // change zoom level
+ const operation = e.deltaY > 0 ? "-" : "+";
+ changeZoomLevel(operation, e);
+
+ // Handle brush size adjustment with ctrl key pressed
+ if (e.ctrlKey || e.metaKey) {
+ e.preventDefault();
+
+ // Increase or decrease brush size based on scroll direction
+ adjustBrushSize(elemId, e.deltaY);
+ }
+ });
+
+ /**
+ * Handle the move event for pan functionality. Updates the panX and panY variables and applies the new transform to the target element.
+ * @param {MouseEvent} e - The mouse event.
+ */
+ function handleMoveKeyDown(e) {
+ if (e.code === hotkeysConfig.moveKey) {
+ if (!e.ctrlKey && !e.metaKey) {
+ isMoving = true;
+ }
+ }
+ }
+
+ function handleMoveKeyUp(e) {
+ if (e.code === hotkeysConfig.moveKey) {
+ isMoving = false;
+ }
+ }
+
+ document.addEventListener("keydown", handleMoveKeyDown);
+ document.addEventListener("keyup", handleMoveKeyUp);
+
+ // Detect zoom level and update the pan speed.
+ function updatePanPosition(movementX, movementY) {
+ let panSpeed = 1.5;
+
+ if (zoomLevel > 8) {
+ panSpeed = 2.5;
+ }
+
+ panX = panX + movementX * panSpeed;
+ panY = panY + movementY * panSpeed;
+
+ targetElement.style.transform = `translate(${panX}px, ${panY}px) scale(${zoomLevel})`;
+ toggleOverlap("on");
+ }
+
+ function handleMoveByKey(e) {
+ if (isMoving) {
+ updatePanPosition(e.movementX, e.movementY);
+ targetElement.style.pointerEvents = "none";
+ } else {
+ targetElement.style.pointerEvents = "auto";
+ }
+ }
+
+ gradioApp().addEventListener("mousemove", handleMoveByKey);
+ }
+
+ applyZoomAndPan(elements.sketch, elementIDs.sketch);
+ applyZoomAndPan(elements.inpaint, elementIDs.inpaint);
+ applyZoomAndPan(elements.inpaintSketch, elementIDs.inpaintSketch);
+});
diff --git a/javascript/zoom.js b/javascript/zoom.js
deleted file mode 100644
index 4bbec34f..00000000
--- a/javascript/zoom.js
+++ /dev/null
@@ -1,428 +0,0 @@
-// Main
-
-// Helper functions
-// Get active tab
-function getActiveTab(elements, all = false) {
- const tabs = elements.img2imgTabs.querySelectorAll("button");
-
- if (all) return tabs;
-
- for (let tab of tabs) {
- if (tab.classList.contains("selected")) {
- return tab;
- }
- }
-}
-
-onUiLoaded(async() => {
- const hotkeysConfig = {
- resetZoom: "KeyR",
- fitToScreen: "KeyS",
- moveKey: "KeyF",
- overlap: "KeyO"
- };
-
- let isMoving = false;
- let mouseX, mouseY;
-
- const elementIDs = {
- sketch: "#img2img_sketch",
- inpaint: "#img2maskimg",
- inpaintSketch: "#inpaint_sketch",
- img2imgTabs: "#mode_img2img .tab-nav"
- };
-
- async function getElements() {
- const elements = await Promise.all(
- Object.values(elementIDs).map(id => document.querySelector(id))
- );
- return Object.fromEntries(
- Object.keys(elementIDs).map((key, index) => [key, elements[index]])
- );
- }
-
- const elements = await getElements();
-
- function applyZoomAndPan(targetElement, elemId) {
- targetElement.style.transformOrigin = "0 0";
- let [zoomLevel, panX, panY] = [1, 0, 0];
- let fullScreenMode = false;
-
- // In the course of research, it was found that the tag img is very harmful when zooming and creates white canvases. This hack allows you to almost never think about this problem, it has no effect on webui.
- function fixCanvas() {
- const activeTab = getActiveTab(elements).textContent.trim();
-
- if (activeTab !== "img2img") {
- const img = targetElement.querySelector(`${elemId} img`);
-
- if (img && img.style.display !== "none") {
- img.style.display = "none";
- img.style.visibility = "hidden";
- }
- }
- }
-
- // Reset the zoom level and pan position of the target element to their initial values
- function resetZoom() {
- zoomLevel = 1;
- panX = 0;
- panY = 0;
-
- fixCanvas();
- targetElement.style.transform = `scale(${zoomLevel}) translate(${panX}px, ${panY}px)`;
-
- const canvas = gradioApp().querySelector(
- `${elemId} canvas[key="interface"]`
- );
-
- toggleOverlap("off");
- fullScreenMode = false;
-
- if (
- canvas &&
- parseFloat(canvas.style.width) > 865 &&
- parseFloat(targetElement.style.width) > 865
- ) {
- fitToElement();
- return;
- }
-
- targetElement.style.width = "";
- if (canvas) {
- targetElement.style.height = canvas.style.height;
- }
- }
-
- // Toggle the zIndex of the target element between two values, allowing it to overlap or be overlapped by other elements
- function toggleOverlap(forced = "") {
- const zIndex1 = "0";
- const zIndex2 = "998";
-
- targetElement.style.zIndex =
- targetElement.style.zIndex !== zIndex2 ? zIndex2 : zIndex1;
-
- if (forced === "off") {
- targetElement.style.zIndex = zIndex1;
- } else if (forced === "on") {
- targetElement.style.zIndex = zIndex2;
- }
- }
-
- // Adjust the brush size based on the deltaY value from a mouse wheel event
- function adjustBrushSize(
- elemId,
- deltaY,
- withoutValue = false,
- percentage = 5
- ) {
- const input =
- gradioApp().querySelector(
- `${elemId} input[aria-label='Brush radius']`
- ) ||
- gradioApp().querySelector(
- `${elemId} button[aria-label="Use brush"]`
- );
-
- if (input) {
- input.click();
- if (!withoutValue) {
- const maxValue =
- parseFloat(input.getAttribute("max")) || 100;
- const changeAmount = maxValue * (percentage / 100);
- const newValue =
- parseFloat(input.value) +
- (deltaY > 0 ? -changeAmount : changeAmount);
- input.value = Math.min(Math.max(newValue, 0), maxValue);
- input.dispatchEvent(new Event("change"));
- }
- }
- }
-
- // Reset zoom when uploading a new image
- const fileInput = gradioApp().querySelector(
- `${elemId} input[type="file"][accept="image/*"].svelte-116rqfv`
- );
- fileInput.addEventListener("click", resetZoom);
-
- // Update the zoom level and pan position of the target element based on the values of the zoomLevel, panX and panY variables
- function updateZoom(newZoomLevel, mouseX, mouseY) {
- newZoomLevel = Math.max(0.5, Math.min(newZoomLevel, 15));
- panX += mouseX - (mouseX * newZoomLevel) / zoomLevel;
- panY += mouseY - (mouseY * newZoomLevel) / zoomLevel;
-
- targetElement.style.transformOrigin = "0 0";
- targetElement.style.transform = `translate(${panX}px, ${panY}px) scale(${newZoomLevel})`;
-
- toggleOverlap("on");
- return newZoomLevel;
- }
-
- // Change the zoom level based on user interaction
- function changeZoomLevel(operation, e) {
- if (e.shiftKey) {
- e.preventDefault();
-
- let zoomPosX, zoomPosY;
- let delta = 0.2;
- if (zoomLevel > 7) {
- delta = 0.9;
- } else if (zoomLevel > 2) {
- delta = 0.6;
- }
-
- zoomPosX = e.clientX;
- zoomPosY = e.clientY;
-
- fullScreenMode = false;
- zoomLevel = updateZoom(
- zoomLevel + (operation === "+" ? delta : -delta),
- zoomPosX - targetElement.getBoundingClientRect().left,
- zoomPosY - targetElement.getBoundingClientRect().top
- );
- }
- }
-
- /**
- * This function fits the target element to the screen by calculating
- * the required scale and offsets. It also updates the global variables
- * zoomLevel, panX, and panY to reflect the new state.
- */
-
- function fitToElement() {
- //Reset Zoom
- targetElement.style.transform = `translate(${0}px, ${0}px) scale(${1})`;
-
- // Get element and screen dimensions
- const elementWidth = targetElement.offsetWidth;
- const elementHeight = targetElement.offsetHeight;
- const parentElement = targetElement.parentElement;
- const screenWidth = parentElement.clientWidth;
- const screenHeight = parentElement.clientHeight;
-
- // Get element's coordinates relative to the parent element
- const elementRect = targetElement.getBoundingClientRect();
- const parentRect = parentElement.getBoundingClientRect();
- const elementX = elementRect.x - parentRect.x;
-
- // Calculate scale and offsets
- const scaleX = screenWidth / elementWidth;
- const scaleY = screenHeight / elementHeight;
- const scale = Math.min(scaleX, scaleY);
-
- const transformOrigin =
- window.getComputedStyle(targetElement).transformOrigin;
- const [originX, originY] = transformOrigin.split(" ");
- const originXValue = parseFloat(originX);
- const originYValue = parseFloat(originY);
-
- const offsetX =
- (screenWidth - elementWidth * scale) / 2 -
- originXValue * (1 - scale);
- const offsetY =
- (screenHeight - elementHeight * scale) / 2.5 -
- originYValue * (1 - scale);
-
- // Apply scale and offsets to the element
- targetElement.style.transform = `translate(${offsetX}px, ${offsetY}px) scale(${scale})`;
-
- // Update global variables
- zoomLevel = scale;
- panX = offsetX;
- panY = offsetY;
-
- fullScreenMode = false;
- toggleOverlap("off");
- }
-
- /**
- * This function fits the target element to the screen by calculating
- * the required scale and offsets. It also updates the global variables
- * zoomLevel, panX, and panY to reflect the new state.
- */
-
- // Fullscreen mode
- function fitToScreen() {
- const canvas = gradioApp().querySelector(
- `${elemId} canvas[key="interface"]`
- );
-
- if (!canvas) return;
-
- if (canvas.offsetWidth > 862) {
- targetElement.style.width = canvas.offsetWidth + "px";
- }
-
- if (fullScreenMode) {
- resetZoom();
- fullScreenMode = false;
- return;
- }
-
- //Reset Zoom
- targetElement.style.transform = `translate(${0}px, ${0}px) scale(${1})`;
-
- // Get element and screen dimensions
- const elementWidth = targetElement.offsetWidth;
- const elementHeight = targetElement.offsetHeight;
- const screenWidth = window.innerWidth;
- const screenHeight = window.innerHeight;
-
- // Get element's coordinates relative to the page
- const elementRect = targetElement.getBoundingClientRect();
- const elementY = elementRect.y;
- const elementX = elementRect.x;
-
- // Calculate scale and offsets
- const scaleX = screenWidth / elementWidth;
- const scaleY = screenHeight / elementHeight;
- const scale = Math.min(scaleX, scaleY);
-
- // Get the current transformOrigin
- const computedStyle = window.getComputedStyle(targetElement);
- const transformOrigin = computedStyle.transformOrigin;
- const [originX, originY] = transformOrigin.split(" ");
- const originXValue = parseFloat(originX);
- const originYValue = parseFloat(originY);
-
- // Calculate offsets with respect to the transformOrigin
- const offsetX =
- (screenWidth - elementWidth * scale) / 2 -
- elementX -
- originXValue * (1 - scale);
- const offsetY =
- (screenHeight - elementHeight * scale) / 2 -
- elementY -
- originYValue * (1 - scale);
-
- // Apply scale and offsets to the element
- targetElement.style.transform = `translate(${offsetX}px, ${offsetY}px) scale(${scale})`;
-
- // Update global variables
- zoomLevel = scale;
- panX = offsetX;
- panY = offsetY;
-
- fullScreenMode = true;
- toggleOverlap("on");
- }
-
- // Handle keydown events
- function handleKeyDown(event) {
- const hotkeyActions = {
- [hotkeysConfig.resetZoom]: resetZoom,
- [hotkeysConfig.overlap]: toggleOverlap,
- [hotkeysConfig.fitToScreen]: fitToScreen
- // [hotkeysConfig.moveKey] : moveCanvas,
- };
-
- const action = hotkeyActions[event.code];
- if (action) {
- event.preventDefault();
- action(event);
- }
- }
-
- // Get Mouse position
- function getMousePosition(e) {
- mouseX = e.offsetX;
- mouseY = e.offsetY;
- }
-
- targetElement.addEventListener("mousemove", getMousePosition);
-
- // Handle events only inside the targetElement
- let isKeyDownHandlerAttached = false;
-
- function handleMouseMove() {
- if (!isKeyDownHandlerAttached) {
- document.addEventListener("keydown", handleKeyDown);
- isKeyDownHandlerAttached = true;
- }
- }
-
- function handleMouseLeave() {
- if (isKeyDownHandlerAttached) {
- document.removeEventListener("keydown", handleKeyDown);
- isKeyDownHandlerAttached = false;
- }
- }
-
- // Add mouse event handlers
- targetElement.addEventListener("mousemove", handleMouseMove);
- targetElement.addEventListener("mouseleave", handleMouseLeave);
-
- // Reset zoom when click on another tab
- elements.img2imgTabs.addEventListener("click", resetZoom);
- elements.img2imgTabs.addEventListener("click", () => {
- // targetElement.style.width = "";
- if (parseInt(targetElement.style.width) > 865) {
- setTimeout(fitToElement, 0);
- }
- });
-
- targetElement.addEventListener("wheel", e => {
- // change zoom level
- const operation = e.deltaY > 0 ? "-" : "+";
- changeZoomLevel(operation, e);
-
- // Handle brush size adjustment with ctrl key pressed
- if (e.ctrlKey || e.metaKey) {
- e.preventDefault();
-
- // Increase or decrease brush size based on scroll direction
- adjustBrushSize(elemId, e.deltaY);
- }
- });
-
- /**
- * Handle the move event for pan functionality. Updates the panX and panY variables and applies the new transform to the target element.
- * @param {MouseEvent} e - The mouse event.
- */
- function handleMoveKeyDown(e) {
- if (e.code === hotkeysConfig.moveKey) {
- if (!e.ctrlKey && !e.metaKey) {
- isMoving = true;
- }
- }
- }
-
- function handleMoveKeyUp(e) {
- if (e.code === hotkeysConfig.moveKey) {
- isMoving = false;
- }
- }
-
- document.addEventListener("keydown", handleMoveKeyDown);
- document.addEventListener("keyup", handleMoveKeyUp);
-
- // Detect zoom level and update the pan speed.
- function updatePanPosition(movementX, movementY) {
- let panSpeed = 1.5;
-
- if (zoomLevel > 8) {
- panSpeed = 2.5;
- }
-
- panX = panX + movementX * panSpeed;
- panY = panY + movementY * panSpeed;
-
- targetElement.style.transform = `translate(${panX}px, ${panY}px) scale(${zoomLevel})`;
- toggleOverlap("on");
- }
-
- function handleMoveByKey(e) {
- if (isMoving) {
- updatePanPosition(e.movementX, e.movementY);
- targetElement.style.pointerEvents = "none";
- } else {
- targetElement.style.pointerEvents = "auto";
- }
- }
-
- gradioApp().addEventListener("mousemove", handleMoveByKey);
- }
-
- applyZoomAndPan(elements.sketch, elementIDs.sketch);
- applyZoomAndPan(elements.inpaint, elementIDs.inpaint);
- applyZoomAndPan(elements.inpaintSketch, elementIDs.inpaintSketch);
-});
--
cgit v1.2.3
From 5fcdaa6a7f19d083a6393cc0d2b933ff5080f5b3 Mon Sep 17 00:00:00 2001
From: Aarni Koskela
Date: Tue, 30 May 2023 12:36:55 +0300
Subject: Vendor in the single module used from taming_transformers; remove
taming_transformers dependency
(and fix the two ruff complaints)
---
extensions-builtin/LDSR/sd_hijack_autoencoder.py | 2 +-
extensions-builtin/LDSR/vqvae_quantize.py | 147 +++++++++++++++++++++++
modules/launch_utils.py | 3 -
modules/paths.py | 1 -
webui-user.sh | 1 -
5 files changed, 148 insertions(+), 6 deletions(-)
create mode 100644 extensions-builtin/LDSR/vqvae_quantize.py
(limited to 'extensions-builtin')
diff --git a/extensions-builtin/LDSR/sd_hijack_autoencoder.py b/extensions-builtin/LDSR/sd_hijack_autoencoder.py
index 81c5101b..27a86e13 100644
--- a/extensions-builtin/LDSR/sd_hijack_autoencoder.py
+++ b/extensions-builtin/LDSR/sd_hijack_autoencoder.py
@@ -10,7 +10,7 @@ from contextlib import contextmanager
from torch.optim.lr_scheduler import LambdaLR
from ldm.modules.ema import LitEma
-from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer
+from vqvae_quantize import VectorQuantizer2 as VectorQuantizer
from ldm.modules.diffusionmodules.model import Encoder, Decoder
from ldm.util import instantiate_from_config
diff --git a/extensions-builtin/LDSR/vqvae_quantize.py b/extensions-builtin/LDSR/vqvae_quantize.py
new file mode 100644
index 00000000..dd14b8fd
--- /dev/null
+++ b/extensions-builtin/LDSR/vqvae_quantize.py
@@ -0,0 +1,147 @@
+# Vendored from https://raw.githubusercontent.com/CompVis/taming-transformers/24268930bf1dce879235a7fddd0b2355b84d7ea6/taming/modules/vqvae/quantize.py,
+# where the license is as follows:
+#
+# Copyright (c) 2020 Patrick Esser and Robin Rombach and Björn Ommer
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
+# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+# OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE
+# OR OTHER DEALINGS IN THE SOFTWARE./
+
+import torch
+import torch.nn as nn
+import numpy as np
+from einops import rearrange
+
+
+class VectorQuantizer2(nn.Module):
+ """
+ Improved version over VectorQuantizer, can be used as a drop-in replacement. Mostly
+ avoids costly matrix multiplications and allows for post-hoc remapping of indices.
+ """
+
+ # NOTE: due to a bug the beta term was applied to the wrong term. for
+ # backwards compatibility we use the buggy version by default, but you can
+ # specify legacy=False to fix it.
+ def __init__(self, n_e, e_dim, beta, remap=None, unknown_index="random",
+ sane_index_shape=False, legacy=True):
+ super().__init__()
+ self.n_e = n_e
+ self.e_dim = e_dim
+ self.beta = beta
+ self.legacy = legacy
+
+ self.embedding = nn.Embedding(self.n_e, self.e_dim)
+ self.embedding.weight.data.uniform_(-1.0 / self.n_e, 1.0 / self.n_e)
+
+ self.remap = remap
+ if self.remap is not None:
+ self.register_buffer("used", torch.tensor(np.load(self.remap)))
+ self.re_embed = self.used.shape[0]
+ self.unknown_index = unknown_index # "random" or "extra" or integer
+ if self.unknown_index == "extra":
+ self.unknown_index = self.re_embed
+ self.re_embed = self.re_embed + 1
+ print(f"Remapping {self.n_e} indices to {self.re_embed} indices. "
+ f"Using {self.unknown_index} for unknown indices.")
+ else:
+ self.re_embed = n_e
+
+ self.sane_index_shape = sane_index_shape
+
+ def remap_to_used(self, inds):
+ ishape = inds.shape
+ assert len(ishape) > 1
+ inds = inds.reshape(ishape[0], -1)
+ used = self.used.to(inds)
+ match = (inds[:, :, None] == used[None, None, ...]).long()
+ new = match.argmax(-1)
+ unknown = match.sum(2) < 1
+ if self.unknown_index == "random":
+ new[unknown] = torch.randint(0, self.re_embed, size=new[unknown].shape).to(device=new.device)
+ else:
+ new[unknown] = self.unknown_index
+ return new.reshape(ishape)
+
+ def unmap_to_all(self, inds):
+ ishape = inds.shape
+ assert len(ishape) > 1
+ inds = inds.reshape(ishape[0], -1)
+ used = self.used.to(inds)
+ if self.re_embed > self.used.shape[0]: # extra token
+ inds[inds >= self.used.shape[0]] = 0 # simply set to zero
+ back = torch.gather(used[None, :][inds.shape[0] * [0], :], 1, inds)
+ return back.reshape(ishape)
+
+ def forward(self, z, temp=None, rescale_logits=False, return_logits=False):
+ assert temp is None or temp == 1.0, "Only for interface compatible with Gumbel"
+ assert rescale_logits is False, "Only for interface compatible with Gumbel"
+ assert return_logits is False, "Only for interface compatible with Gumbel"
+ # reshape z -> (batch, height, width, channel) and flatten
+ z = rearrange(z, 'b c h w -> b h w c').contiguous()
+ z_flattened = z.view(-1, self.e_dim)
+ # distances from z to embeddings e_j (z - e)^2 = z^2 + e^2 - 2 e * z
+
+ d = torch.sum(z_flattened ** 2, dim=1, keepdim=True) + \
+ torch.sum(self.embedding.weight ** 2, dim=1) - 2 * \
+ torch.einsum('bd,dn->bn', z_flattened, rearrange(self.embedding.weight, 'n d -> d n'))
+
+ min_encoding_indices = torch.argmin(d, dim=1)
+ z_q = self.embedding(min_encoding_indices).view(z.shape)
+ perplexity = None
+ min_encodings = None
+
+ # compute loss for embedding
+ if not self.legacy:
+ loss = self.beta * torch.mean((z_q.detach() - z) ** 2) + \
+ torch.mean((z_q - z.detach()) ** 2)
+ else:
+ loss = torch.mean((z_q.detach() - z) ** 2) + self.beta * \
+ torch.mean((z_q - z.detach()) ** 2)
+
+ # preserve gradients
+ z_q = z + (z_q - z).detach()
+
+ # reshape back to match original input shape
+ z_q = rearrange(z_q, 'b h w c -> b c h w').contiguous()
+
+ if self.remap is not None:
+ min_encoding_indices = min_encoding_indices.reshape(z.shape[0], -1) # add batch axis
+ min_encoding_indices = self.remap_to_used(min_encoding_indices)
+ min_encoding_indices = min_encoding_indices.reshape(-1, 1) # flatten
+
+ if self.sane_index_shape:
+ min_encoding_indices = min_encoding_indices.reshape(
+ z_q.shape[0], z_q.shape[2], z_q.shape[3])
+
+ return z_q, loss, (perplexity, min_encodings, min_encoding_indices)
+
+ def get_codebook_entry(self, indices, shape):
+ # shape specifying (batch, height, width, channel)
+ if self.remap is not None:
+ indices = indices.reshape(shape[0], -1) # add batch axis
+ indices = self.unmap_to_all(indices)
+ indices = indices.reshape(-1) # flatten again
+
+ # get quantized latent vectors
+ z_q = self.embedding(indices)
+
+ if shape is not None:
+ z_q = z_q.view(shape)
+ # reshape back to match original input shape
+ z_q = z_q.permute(0, 3, 1, 2).contiguous()
+
+ return z_q
diff --git a/modules/launch_utils.py b/modules/launch_utils.py
index 35a52310..ca089674 100644
--- a/modules/launch_utils.py
+++ b/modules/launch_utils.py
@@ -229,13 +229,11 @@ def prepare_environment():
openclip_package = os.environ.get('OPENCLIP_PACKAGE', "https://github.com/mlfoundations/open_clip/archive/bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b.zip")
stable_diffusion_repo = os.environ.get('STABLE_DIFFUSION_REPO', "https://github.com/Stability-AI/stablediffusion.git")
- taming_transformers_repo = os.environ.get('TAMING_TRANSFORMERS_REPO', "https://github.com/CompVis/taming-transformers.git")
k_diffusion_repo = os.environ.get('K_DIFFUSION_REPO', 'https://github.com/crowsonkb/k-diffusion.git')
codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://github.com/sczhou/CodeFormer.git')
blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf")
- taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "c9fe758757e022f05ca5a53fa8fac28889e4f1cf")
codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
@@ -286,7 +284,6 @@ def prepare_environment():
os.makedirs(os.path.join(script_path, dir_repos), exist_ok=True)
git_clone(stable_diffusion_repo, repo_dir('stable-diffusion-stability-ai'), "Stable Diffusion", stable_diffusion_commit_hash)
- git_clone(taming_transformers_repo, repo_dir('taming-transformers'), "Taming Transformers", taming_transformers_commit_hash)
git_clone(k_diffusion_repo, repo_dir('k-diffusion'), "K-diffusion", k_diffusion_commit_hash)
git_clone(codeformer_repo, repo_dir('CodeFormer'), "CodeFormer", codeformer_commit_hash)
git_clone(blip_repo, repo_dir('BLIP'), "BLIP", blip_commit_hash)
diff --git a/modules/paths.py b/modules/paths.py
index 5f6474c0..5171df4f 100644
--- a/modules/paths.py
+++ b/modules/paths.py
@@ -20,7 +20,6 @@ assert sd_path is not None, f"Couldn't find Stable Diffusion in any of: {possibl
path_dirs = [
(sd_path, 'ldm', 'Stable Diffusion', []),
- (os.path.join(sd_path, '../taming-transformers'), 'taming', 'Taming Transformers', []),
(os.path.join(sd_path, '../CodeFormer'), 'inference_codeformer.py', 'CodeFormer', []),
(os.path.join(sd_path, '../BLIP'), 'models/blip.py', 'BLIP', []),
(os.path.join(sd_path, '../k-diffusion'), 'k_diffusion/sampling.py', 'k_diffusion', ["atstart"]),
diff --git a/webui-user.sh b/webui-user.sh
index 49a426ff..70306c60 100644
--- a/webui-user.sh
+++ b/webui-user.sh
@@ -36,7 +36,6 @@
# Fixed git commits
#export STABLE_DIFFUSION_COMMIT_HASH=""
-#export TAMING_TRANSFORMERS_COMMIT_HASH=""
#export CODEFORMER_COMMIT_HASH=""
#export BLIP_COMMIT_HASH=""
--
cgit v1.2.3
From c928c228af428b2743ac4442ceff3118fa1dca48 Mon Sep 17 00:00:00 2001
From: Danil Boldyrev
Date: Tue, 30 May 2023 16:35:52 +0300
Subject: a small fix for very wide images, because of the scroll bar was the
wrong zoom
---
extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js | 5 ++++-
1 file changed, 4 insertions(+), 1 deletion(-)
(limited to 'extensions-builtin')
diff --git a/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js b/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
index 4bbec34f..f555960d 100644
--- a/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
+++ b/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
@@ -261,10 +261,13 @@ onUiLoaded(async() => {
//Reset Zoom
targetElement.style.transform = `translate(${0}px, ${0}px) scale(${1})`;
+ // Get scrollbar width to right-align the image
+ const scrollbarWidth = window.innerWidth - document.documentElement.clientWidth;
+
// Get element and screen dimensions
const elementWidth = targetElement.offsetWidth;
const elementHeight = targetElement.offsetHeight;
- const screenWidth = window.innerWidth;
+ const screenWidth = window.innerWidth - scrollbarWidth;
const screenHeight = window.innerHeight;
// Get element's coordinates relative to the page
--
cgit v1.2.3
From 05933840f0676dd1a90a7e2ad3f2a0672624b2cd Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 31 May 2023 19:56:37 +0300
Subject: rename print_error to report, use it with together with package name
---
extensions-builtin/LDSR/scripts/ldsr_model.py | 5 ++---
extensions-builtin/ScuNET/scripts/scunet_model.py | 5 ++---
modules/api/api.py | 5 ++---
modules/call_queue.py | 5 ++---
modules/codeformer_model.py | 7 +++----
modules/config_states.py | 9 ++++-----
modules/errors.py | 8 ++------
modules/extensions.py | 7 +++----
modules/gfpgan_model.py | 5 ++---
modules/hypernetworks/hypernetwork.py | 7 +++----
modules/images.py | 5 ++---
modules/interrogate.py | 3 +--
modules/launch_utils.py | 7 +++----
modules/localization.py | 4 ++--
modules/realesrgan_model.py | 10 +++++-----
modules/safe.py | 7 ++++---
modules/script_callbacks.py | 4 ++--
modules/script_loading.py | 4 ++--
modules/scripts.py | 23 +++++++++++------------
modules/sd_hijack_optimizations.py | 3 +--
modules/textual_inversion/textual_inversion.py | 7 +++----
modules/ui.py | 7 +++----
modules/ui_extensions.py | 7 +++----
scripts/prompts_from_file.py | 5 ++---
24 files changed, 69 insertions(+), 90 deletions(-)
(limited to 'extensions-builtin')
diff --git a/extensions-builtin/LDSR/scripts/ldsr_model.py b/extensions-builtin/LDSR/scripts/ldsr_model.py
index 95f1669d..dbd6d331 100644
--- a/extensions-builtin/LDSR/scripts/ldsr_model.py
+++ b/extensions-builtin/LDSR/scripts/ldsr_model.py
@@ -2,10 +2,9 @@ import os
from basicsr.utils.download_util import load_file_from_url
-from modules.errors import print_error
from modules.upscaler import Upscaler, UpscalerData
from ldsr_model_arch import LDSR
-from modules import shared, script_callbacks
+from modules import shared, script_callbacks, errors
import sd_hijack_autoencoder # noqa: F401
import sd_hijack_ddpm_v1 # noqa: F401
@@ -51,7 +50,7 @@ class UpscalerLDSR(Upscaler):
try:
return LDSR(model, yaml)
except Exception:
- print_error("Error importing LDSR", exc_info=True)
+ errors.report("Error importing LDSR", exc_info=True)
return None
def do_upscale(self, img, path):
diff --git a/extensions-builtin/ScuNET/scripts/scunet_model.py b/extensions-builtin/ScuNET/scripts/scunet_model.py
index dd1b822e..85b4505f 100644
--- a/extensions-builtin/ScuNET/scripts/scunet_model.py
+++ b/extensions-builtin/ScuNET/scripts/scunet_model.py
@@ -9,10 +9,9 @@ from tqdm import tqdm
from basicsr.utils.download_util import load_file_from_url
import modules.upscaler
-from modules import devices, modelloader, script_callbacks
+from modules import devices, modelloader, script_callbacks, errors
from scunet_model_arch import SCUNet as net
-from modules.errors import print_error
from modules.shared import opts
@@ -39,7 +38,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
scaler_data = modules.upscaler.UpscalerData(name, file, self, 4)
scalers.append(scaler_data)
except Exception:
- print_error(f"Error loading ScuNET model: {file}", exc_info=True)
+ errors.report(f"Error loading ScuNET model: {file}", exc_info=True)
if add_model2:
scaler_data2 = modules.upscaler.UpscalerData(self.model_name2, self.model_url2, self)
scalers.append(scaler_data2)
diff --git a/modules/api/api.py b/modules/api/api.py
index fbd616a3..d34ab422 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -14,9 +14,8 @@ from fastapi.encoders import jsonable_encoder
from secrets import compare_digest
import modules.shared as shared
-from modules import sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing
+from modules import sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing, errors
from modules.api import models
-from modules.errors import print_error
from modules.shared import opts
from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
from modules.textual_inversion.textual_inversion import create_embedding, train_embedding
@@ -145,7 +144,7 @@ def api_middleware(app: FastAPI):
print(message)
console.print_exception(show_locals=True, max_frames=2, extra_lines=1, suppress=[anyio, starlette], word_wrap=False, width=min([console.width, 200]))
else:
- print_error(message, exc_info=True)
+ errors.report(message, exc_info=True)
return JSONResponse(status_code=vars(e).get('status_code', 500), content=jsonable_encoder(err))
@app.middleware("http")
diff --git a/modules/call_queue.py b/modules/call_queue.py
index dba2a9b4..53af6d70 100644
--- a/modules/call_queue.py
+++ b/modules/call_queue.py
@@ -2,8 +2,7 @@ import html
import threading
import time
-from modules import shared, progress
-from modules.errors import print_error
+from modules import shared, progress, errors
queue_lock = threading.Lock()
@@ -62,7 +61,7 @@ def wrap_gradio_call(func, extra_outputs=None, add_stats=False):
arg_str = f"Arguments: {args} {kwargs}"[:max_debug_str_len]
if len(arg_str) > max_debug_str_len:
arg_str += f" (Argument list truncated at {max_debug_str_len}/{len(arg_str)} characters)"
- print_error(f"{message}\n{arg_str}", exc_info=True)
+ errors.report(f"{message}\n{arg_str}", exc_info=True)
shared.state.job = ""
shared.state.job_count = 0
diff --git a/modules/codeformer_model.py b/modules/codeformer_model.py
index 76143e9f..4260b016 100644
--- a/modules/codeformer_model.py
+++ b/modules/codeformer_model.py
@@ -5,8 +5,7 @@ import torch
import modules.face_restoration
import modules.shared
-from modules import shared, devices, modelloader
-from modules.errors import print_error
+from modules import shared, devices, modelloader, errors
from modules.paths import models_path
# codeformer people made a choice to include modified basicsr library to their project which makes
@@ -105,7 +104,7 @@ def setup_model(dirname):
del output
torch.cuda.empty_cache()
except Exception:
- print_error('Failed inference for CodeFormer', exc_info=True)
+ errors.report('Failed inference for CodeFormer', exc_info=True)
restored_face = tensor2img(cropped_face_t, rgb2bgr=True, min_max=(-1, 1))
restored_face = restored_face.astype('uint8')
@@ -134,6 +133,6 @@ def setup_model(dirname):
shared.face_restorers.append(codeformer)
except Exception:
- print_error("Error setting up CodeFormer", exc_info=True)
+ errors.report("Error setting up CodeFormer", exc_info=True)
# sys.path = stored_sys_path
diff --git a/modules/config_states.py b/modules/config_states.py
index faeaf28b..6f1ab53f 100644
--- a/modules/config_states.py
+++ b/modules/config_states.py
@@ -11,8 +11,7 @@ from datetime import datetime
from collections import OrderedDict
import git
-from modules import shared, extensions
-from modules.errors import print_error
+from modules import shared, extensions, errors
from modules.paths_internal import script_path, config_states_dir
@@ -52,7 +51,7 @@ def get_webui_config():
if os.path.exists(os.path.join(script_path, ".git")):
webui_repo = git.Repo(script_path)
except Exception:
- print_error(f"Error reading webui git info from {script_path}", exc_info=True)
+ errors.report(f"Error reading webui git info from {script_path}", exc_info=True)
webui_remote = None
webui_commit_hash = None
@@ -132,7 +131,7 @@ def restore_webui_config(config):
if os.path.exists(os.path.join(script_path, ".git")):
webui_repo = git.Repo(script_path)
except Exception:
- print_error(f"Error reading webui git info from {script_path}", exc_info=True)
+ errors.report(f"Error reading webui git info from {script_path}", exc_info=True)
return
try:
@@ -140,7 +139,7 @@ def restore_webui_config(config):
webui_repo.git.reset(webui_commit_hash, hard=True)
print(f"* Restored webui to commit {webui_commit_hash}.")
except Exception:
- print_error(f"Error restoring webui to commit{webui_commit_hash}")
+ errors.report(f"Error restoring webui to commit{webui_commit_hash}")
def restore_extension_config(config):
diff --git a/modules/errors.py b/modules/errors.py
index 41d8dc93..e408f500 100644
--- a/modules/errors.py
+++ b/modules/errors.py
@@ -3,11 +3,7 @@ import textwrap
import traceback
-def print_error(
- message: str,
- *,
- exc_info: bool = False,
-) -> None:
+def report(message: str, *, exc_info: bool = False) -> None:
"""
Print an error message to stderr, with optional traceback.
"""
@@ -15,7 +11,7 @@ def print_error(
print("***", line, file=sys.stderr)
if exc_info:
print(textwrap.indent(traceback.format_exc(), " "), file=sys.stderr)
- print("---")
+ print("---", file=sys.stderr)
def print_error_explanation(message):
diff --git a/modules/extensions.py b/modules/extensions.py
index 92f93ad9..8608584b 100644
--- a/modules/extensions.py
+++ b/modules/extensions.py
@@ -1,8 +1,7 @@
import os
import threading
-from modules import shared
-from modules.errors import print_error
+from modules import shared, errors
from modules.gitpython_hack import Repo
from modules.paths_internal import extensions_dir, extensions_builtin_dir, script_path # noqa: F401
@@ -54,7 +53,7 @@ class Extension:
if os.path.exists(os.path.join(self.path, ".git")):
repo = Repo(self.path)
except Exception:
- print_error(f"Error reading github repository info from {self.path}", exc_info=True)
+ errors.report(f"Error reading github repository info from {self.path}", exc_info=True)
if repo is None or repo.bare:
self.remote = None
@@ -70,7 +69,7 @@ class Extension:
self.version = self.commit_hash[:8]
except Exception:
- print_error(f"Failed reading extension data from Git repository ({self.name})", exc_info=True)
+ errors.report(f"Failed reading extension data from Git repository ({self.name})", exc_info=True)
self.remote = None
self.have_info_from_repo = True
diff --git a/modules/gfpgan_model.py b/modules/gfpgan_model.py
index d2f647fe..e239a09d 100644
--- a/modules/gfpgan_model.py
+++ b/modules/gfpgan_model.py
@@ -4,8 +4,7 @@ import facexlib
import gfpgan
import modules.face_restoration
-from modules import paths, shared, devices, modelloader
-from modules.errors import print_error
+from modules import paths, shared, devices, modelloader, errors
model_dir = "GFPGAN"
user_path = None
@@ -111,4 +110,4 @@ def setup_model(dirname):
shared.face_restorers.append(FaceRestorerGFPGAN())
except Exception:
- print_error("Error setting up GFPGAN", exc_info=True)
+ errors.report("Error setting up GFPGAN", exc_info=True)
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index fcc1ef20..5d12b449 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -9,8 +9,7 @@ import torch
import tqdm
from einops import rearrange, repeat
from ldm.util import default
-from modules import devices, processing, sd_models, shared, sd_samplers, hashes, sd_hijack_checkpoint
-from modules.errors import print_error
+from modules import devices, processing, sd_models, shared, sd_samplers, hashes, sd_hijack_checkpoint, errors
from modules.textual_inversion import textual_inversion, logging
from modules.textual_inversion.learn_schedule import LearnRateScheduler
from torch import einsum
@@ -329,7 +328,7 @@ def load_hypernetwork(name):
hypernetwork.load(path)
return hypernetwork
except Exception:
- print_error(f"Error loading hypernetwork {path}", exc_info=True)
+ errors.report(f"Error loading hypernetwork {path}", exc_info=True)
return None
@@ -766,7 +765,7 @@ Last saved image: {html.escape(last_saved_image)}
"""
except Exception:
- print_error("Exception in training hypernetwork", exc_info=True)
+ errors.report("Exception in training hypernetwork", exc_info=True)
finally:
pbar.leave = False
pbar.close()
diff --git a/modules/images.py b/modules/images.py
index 09f728df..30e9ffc5 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -16,7 +16,6 @@ import json
import hashlib
from modules import sd_samplers, shared, script_callbacks, errors
-from modules.errors import print_error
from modules.paths_internal import roboto_ttf_file
from modules.shared import opts
@@ -463,7 +462,7 @@ class FilenameGenerator:
replacement = fun(self, *pattern_args)
except Exception:
replacement = None
- print_error(f"Error adding [{pattern}] to filename", exc_info=True)
+ errors.report(f"Error adding [{pattern}] to filename", exc_info=True)
if replacement == NOTHING_AND_SKIP_PREVIOUS_TEXT:
continue
@@ -698,7 +697,7 @@ def read_info_from_image(image):
Negative prompt: {json_info["uc"]}
Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image.width}x{image.height}, Clip skip: 2, ENSD: 31337"""
except Exception:
- print_error("Error parsing NovelAI image generation parameters", exc_info=True)
+ errors.report("Error parsing NovelAI image generation parameters", exc_info=True)
return geninfo, items
diff --git a/modules/interrogate.py b/modules/interrogate.py
index d36e1a5a..9b2c5b60 100644
--- a/modules/interrogate.py
+++ b/modules/interrogate.py
@@ -11,7 +11,6 @@ from torchvision import transforms
from torchvision.transforms.functional import InterpolationMode
from modules import devices, paths, shared, lowvram, modelloader, errors
-from modules.errors import print_error
blip_image_eval_size = 384
clip_model_name = 'ViT-L/14'
@@ -216,7 +215,7 @@ class InterrogateModels:
res += f", {match}"
except Exception:
- print_error("Error interrogating", exc_info=True)
+ errors.report("Error interrogating", exc_info=True)
res += ""
self.unload()
diff --git a/modules/launch_utils.py b/modules/launch_utils.py
index 0bf4cb7e..6e9bb770 100644
--- a/modules/launch_utils.py
+++ b/modules/launch_utils.py
@@ -7,8 +7,7 @@ import platform
import json
from functools import lru_cache
-from modules import cmd_args
-from modules.errors import print_error
+from modules import cmd_args, errors
from modules.paths_internal import script_path, extensions_dir
args, _ = cmd_args.parser.parse_known_args()
@@ -189,7 +188,7 @@ def run_extension_installer(extension_dir):
print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
except Exception as e:
- print_error(str(e))
+ errors.report(str(e))
def list_extensions(settings_file):
@@ -200,7 +199,7 @@ def list_extensions(settings_file):
with open(settings_file, "r", encoding="utf8") as file:
settings = json.load(file)
except Exception:
- print_error("Could not load settings", exc_info=True)
+ errors.report("Could not load settings", exc_info=True)
disabled_extensions = set(settings.get('disabled_extensions', []))
disable_all_extensions = settings.get('disable_all_extensions', 'none')
diff --git a/modules/localization.py b/modules/localization.py
index 9a1df343..e8f585da 100644
--- a/modules/localization.py
+++ b/modules/localization.py
@@ -1,7 +1,7 @@
import json
import os
-from modules.errors import print_error
+from modules import errors
localizations = {}
@@ -30,6 +30,6 @@ def localization_js(current_localization_name: str) -> str:
with open(fn, "r", encoding="utf8") as file:
data = json.load(file)
except Exception:
- print_error(f"Error loading localization from {fn}", exc_info=True)
+ errors.report(f"Error loading localization from {fn}", exc_info=True)
return f"window.localization = {json.dumps(data)}"
diff --git a/modules/realesrgan_model.py b/modules/realesrgan_model.py
index c8d0c64f..2d27b321 100644
--- a/modules/realesrgan_model.py
+++ b/modules/realesrgan_model.py
@@ -5,10 +5,10 @@ from PIL import Image
from basicsr.utils.download_util import load_file_from_url
from realesrgan import RealESRGANer
-from modules.errors import print_error
from modules.upscaler import Upscaler, UpscalerData
from modules.shared import cmd_opts, opts
-from modules import modelloader
+from modules import modelloader, errors
+
class UpscalerRealESRGAN(Upscaler):
def __init__(self, path):
@@ -35,7 +35,7 @@ class UpscalerRealESRGAN(Upscaler):
self.scalers.append(scaler)
except Exception:
- print_error("Error importing Real-ESRGAN", exc_info=True)
+ errors.report("Error importing Real-ESRGAN", exc_info=True)
self.enable = False
self.scalers = []
@@ -75,7 +75,7 @@ class UpscalerRealESRGAN(Upscaler):
return info
except Exception:
- print_error("Error making Real-ESRGAN models list", exc_info=True)
+ errors.report("Error making Real-ESRGAN models list", exc_info=True)
return None
def load_models(self, _):
@@ -132,4 +132,4 @@ def get_realesrgan_models(scaler):
]
return models
except Exception:
- print_error("Error making Real-ESRGAN models list", exc_info=True)
+ errors.report("Error making Real-ESRGAN models list", exc_info=True)
diff --git a/modules/safe.py b/modules/safe.py
index b596f565..b1d08a79 100644
--- a/modules/safe.py
+++ b/modules/safe.py
@@ -9,9 +9,10 @@ import _codecs
import zipfile
import re
-from modules.errors import print_error
# PyTorch 1.13 and later have _TypedStorage renamed to TypedStorage
+from modules import errors
+
TypedStorage = torch.storage.TypedStorage if hasattr(torch.storage, 'TypedStorage') else torch.storage._TypedStorage
def encode(*args):
@@ -136,7 +137,7 @@ def load_with_extra(filename, extra_handler=None, *args, **kwargs):
check_pt(filename, extra_handler)
except pickle.UnpicklingError:
- print_error(
+ errors.report(
f"Error verifying pickled file from {filename}\n"
"-----> !!!! The file is most likely corrupted !!!! <-----\n"
"You can skip this check with --disable-safe-unpickle commandline argument, but that is not going to help you.\n\n",
@@ -144,7 +145,7 @@ def load_with_extra(filename, extra_handler=None, *args, **kwargs):
)
return None
except Exception:
- print_error(
+ errors.report(
f"Error verifying pickled file from {filename}\n"
f"The file may be malicious, so the program is not going to read it.\n"
f"You can skip this check with --disable-safe-unpickle commandline argument.\n\n",
diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 6aa9c3b6..ec1469d0 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -5,11 +5,11 @@ from typing import Optional, Dict, Any
from fastapi import FastAPI
from gradio import Blocks
-from modules.errors import print_error
+from modules import errors
def report_exception(c, job):
- print_error(f"Error executing callback {job} for {c.script}", exc_info=True)
+ errors.report(f"Error executing callback {job} for {c.script}", exc_info=True)
class ImageSaveParams:
diff --git a/modules/script_loading.py b/modules/script_loading.py
index 26efffcb..306a1f35 100644
--- a/modules/script_loading.py
+++ b/modules/script_loading.py
@@ -1,7 +1,7 @@
import os
import importlib.util
-from modules.errors import print_error
+from modules import errors
def load_module(path):
@@ -27,4 +27,4 @@ def preload_extensions(extensions_dir, parser):
module.preload(parser)
except Exception:
- print_error(f"Error running preload() for {preload_script}", exc_info=True)
+ errors.report(f"Error running preload() for {preload_script}", exc_info=True)
diff --git a/modules/scripts.py b/modules/scripts.py
index a7168fd1..0970f38e 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -5,8 +5,7 @@ from collections import namedtuple
import gradio as gr
-from modules import shared, paths, script_callbacks, extensions, script_loading, scripts_postprocessing
-from modules.errors import print_error
+from modules import shared, paths, script_callbacks, extensions, script_loading, scripts_postprocessing, errors
AlwaysVisible = object()
@@ -264,7 +263,7 @@ def load_scripts():
register_scripts_from_module(script_module)
except Exception:
- print_error(f"Error loading script: {scriptfile.filename}", exc_info=True)
+ errors.report(f"Error loading script: {scriptfile.filename}", exc_info=True)
finally:
sys.path = syspath
@@ -281,7 +280,7 @@ def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
try:
return func(*args, **kwargs)
except Exception:
- print_error(f"Error calling: {filename}/{funcname}", exc_info=True)
+ errors.report(f"Error calling: {filename}/{funcname}", exc_info=True)
return default
@@ -447,7 +446,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.process(p, *script_args)
except Exception:
- print_error(f"Error running process: {script.filename}", exc_info=True)
+ errors.report(f"Error running process: {script.filename}", exc_info=True)
def before_process_batch(self, p, **kwargs):
for script in self.alwayson_scripts:
@@ -455,7 +454,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.before_process_batch(p, *script_args, **kwargs)
except Exception:
- print_error(f"Error running before_process_batch: {script.filename}", exc_info=True)
+ errors.report(f"Error running before_process_batch: {script.filename}", exc_info=True)
def process_batch(self, p, **kwargs):
for script in self.alwayson_scripts:
@@ -463,7 +462,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.process_batch(p, *script_args, **kwargs)
except Exception:
- print_error(f"Error running process_batch: {script.filename}", exc_info=True)
+ errors.report(f"Error running process_batch: {script.filename}", exc_info=True)
def postprocess(self, p, processed):
for script in self.alwayson_scripts:
@@ -471,7 +470,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.postprocess(p, processed, *script_args)
except Exception:
- print_error(f"Error running postprocess: {script.filename}", exc_info=True)
+ errors.report(f"Error running postprocess: {script.filename}", exc_info=True)
def postprocess_batch(self, p, images, **kwargs):
for script in self.alwayson_scripts:
@@ -479,7 +478,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.postprocess_batch(p, *script_args, images=images, **kwargs)
except Exception:
- print_error(f"Error running postprocess_batch: {script.filename}", exc_info=True)
+ errors.report(f"Error running postprocess_batch: {script.filename}", exc_info=True)
def postprocess_image(self, p, pp: PostprocessImageArgs):
for script in self.alwayson_scripts:
@@ -487,21 +486,21 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.postprocess_image(p, pp, *script_args)
except Exception:
- print_error(f"Error running postprocess_image: {script.filename}", exc_info=True)
+ errors.report(f"Error running postprocess_image: {script.filename}", exc_info=True)
def before_component(self, component, **kwargs):
for script in self.scripts:
try:
script.before_component(component, **kwargs)
except Exception:
- print_error(f"Error running before_component: {script.filename}", exc_info=True)
+ errors.report(f"Error running before_component: {script.filename}", exc_info=True)
def after_component(self, component, **kwargs):
for script in self.scripts:
try:
script.after_component(component, **kwargs)
except Exception:
- print_error(f"Error running after_component: {script.filename}", exc_info=True)
+ errors.report(f"Error running after_component: {script.filename}", exc_info=True)
def reload_sources(self, cache):
for si, script in list(enumerate(self.scripts)):
diff --git a/modules/sd_hijack_optimizations.py b/modules/sd_hijack_optimizations.py
index fd186fa2..5f0ff513 100644
--- a/modules/sd_hijack_optimizations.py
+++ b/modules/sd_hijack_optimizations.py
@@ -9,7 +9,6 @@ from ldm.util import default
from einops import rearrange
from modules import shared, errors, devices, sub_quadratic_attention
-from modules.errors import print_error
from modules.hypernetworks import hypernetwork
import ldm.modules.attention
@@ -139,7 +138,7 @@ if shared.cmd_opts.xformers or shared.cmd_opts.force_enable_xformers:
import xformers.ops
shared.xformers_available = True
except Exception:
- print_error("Cannot import xformers", exc_info=True)
+ errors.report("Cannot import xformers", exc_info=True)
def get_available_vram():
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index b3dcb140..8da050ca 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -12,9 +12,8 @@ import numpy as np
from PIL import Image, PngImagePlugin
from torch.utils.tensorboard import SummaryWriter
-from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers, sd_hijack_checkpoint
+from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers, sd_hijack_checkpoint, errors
import modules.textual_inversion.dataset
-from modules.errors import print_error
from modules.textual_inversion.learn_schedule import LearnRateScheduler
from modules.textual_inversion.image_embedding import embedding_to_b64, embedding_from_b64, insert_image_data_embed, extract_image_data_embed, caption_image_overlay
@@ -219,7 +218,7 @@ class EmbeddingDatabase:
self.load_from_file(fullfn, fn)
except Exception:
- print_error(f"Error loading embedding {fn}", exc_info=True)
+ errors.report(f"Error loading embedding {fn}", exc_info=True)
continue
def load_textual_inversion_embeddings(self, force_reload=False):
@@ -643,7 +642,7 @@ Last saved image: {html.escape(last_saved_image)}
filename = os.path.join(shared.cmd_opts.embeddings_dir, f'{embedding_name}.pt')
save_embedding(embedding, optimizer, checkpoint, embedding_name, filename, remove_cached_checksum=True)
except Exception:
- print_error("Error training embedding", exc_info=True)
+ errors.report("Error training embedding", exc_info=True)
finally:
pbar.leave = False
pbar.close()
diff --git a/modules/ui.py b/modules/ui.py
index fb6b2498..f361264c 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -12,8 +12,7 @@ import numpy as np
from PIL import Image, PngImagePlugin # noqa: F401
from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call
-from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave
-from modules.errors import print_error
+from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave, errors
from modules.ui_components import FormRow, FormGroup, ToolButton, FormHTML
from modules.paths import script_path, data_path
@@ -232,7 +231,7 @@ def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info:
except json.decoder.JSONDecodeError:
if gen_info_string:
- print_error(f"Error parsing JSON generation info: {gen_info_string}")
+ errors.report(f"Error parsing JSON generation info: {gen_info_string}")
return [res, gr_show(False)]
@@ -1752,7 +1751,7 @@ def create_ui():
try:
results = modules.extras.run_modelmerger(*args)
except Exception as e:
- print_error("Error loading/saving model file", exc_info=True)
+ errors.report("Error loading/saving model file", exc_info=True)
modules.sd_models.list_models() # to remove the potentially missing models from the list
return [*[gr.Dropdown.update(choices=modules.sd_models.checkpoint_tiles()) for _ in range(4)], f"Error merging checkpoints: {e}"]
return results
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
index e2ee9d72..3140ed64 100644
--- a/modules/ui_extensions.py
+++ b/modules/ui_extensions.py
@@ -11,8 +11,7 @@ import html
import shutil
import errno
-from modules import extensions, shared, paths, config_states
-from modules.errors import print_error
+from modules import extensions, shared, paths, config_states, errors
from modules.paths_internal import config_states_dir
from modules.call_queue import wrap_gradio_gpu_call
@@ -45,7 +44,7 @@ def apply_and_restart(disable_list, update_list, disable_all):
try:
ext.fetch_and_reset_hard()
except Exception:
- print_error(f"Error getting updates for {ext.name}", exc_info=True)
+ errors.report(f"Error getting updates for {ext.name}", exc_info=True)
shared.opts.disabled_extensions = disabled
shared.opts.disable_all_extensions = disable_all
@@ -111,7 +110,7 @@ def check_updates(id_task, disable_list):
if 'FETCH_HEAD' not in str(e):
raise
except Exception:
- print_error(f"Error checking updates for {ext.name}", exc_info=True)
+ errors.report(f"Error checking updates for {ext.name}", exc_info=True)
shared.state.nextjob()
diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
index 4dc24615..83a2f220 100644
--- a/scripts/prompts_from_file.py
+++ b/scripts/prompts_from_file.py
@@ -5,8 +5,7 @@ import shlex
import modules.scripts as scripts
import gradio as gr
-from modules import sd_samplers
-from modules.errors import print_error
+from modules import sd_samplers, errors
from modules.processing import Processed, process_images
from modules.shared import state
@@ -135,7 +134,7 @@ class Script(scripts.Script):
try:
args = cmdargs(line)
except Exception:
- print_error(f"Error parsing line {line} as commandline", exc_info=True)
+ errors.report(f"Error parsing line {line} as commandline", exc_info=True)
args = {"prompt": line}
else:
args = {"prompt": line}
--
cgit v1.2.3
From df02498d03e4296b7d7581aff69571a49be1d27a Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 31 May 2023 22:40:09 +0300
Subject: add an option to show selected setting in main txt2img/img2img UI
split some code from ui.py into ui_settings.py ui_gradio_edxtensions.py add
before_process callback for scripts add ability for alwayson scripts to
specify section and let user reorder those sections
---
.../scripts/extra_options_section.py | 48 +++
modules/processing.py | 6 +-
modules/scripts.py | 116 ++++---
modules/shared_items.py | 10 +
modules/ui.py | 351 ++-------------------
modules/ui_common.py | 23 ++
modules/ui_gradio_extensions.py | 69 ++++
modules/ui_settings.py | 263 +++++++++++++++
8 files changed, 512 insertions(+), 374 deletions(-)
create mode 100644 extensions-builtin/extra-options-section/scripts/extra_options_section.py
create mode 100644 modules/ui_gradio_extensions.py
create mode 100644 modules/ui_settings.py
(limited to 'extensions-builtin')
diff --git a/extensions-builtin/extra-options-section/scripts/extra_options_section.py b/extensions-builtin/extra-options-section/scripts/extra_options_section.py
new file mode 100644
index 00000000..17f84184
--- /dev/null
+++ b/extensions-builtin/extra-options-section/scripts/extra_options_section.py
@@ -0,0 +1,48 @@
+import gradio as gr
+from modules import scripts, shared, ui_components, ui_settings
+from modules.ui_components import FormColumn
+
+
+class ExtraOptionsSection(scripts.Script):
+ section = "extra_options"
+
+ def __init__(self):
+ self.comps = None
+ self.setting_names = None
+
+ def title(self):
+ return "Extra options"
+
+ def show(self, is_img2img):
+ return scripts.AlwaysVisible
+
+ def ui(self, is_img2img):
+ self.comps = []
+ self.setting_names = []
+
+ with gr.Blocks() as interface:
+ with gr.Accordion("Options", open=False) if shared.opts.extra_options_accordion and len(shared.opts.extra_options) > 0 else gr.Group(), gr.Row():
+ for setting_name in shared.opts.extra_options:
+ with FormColumn():
+ comp = ui_settings.create_setting_component(setting_name)
+
+ self.comps.append(comp)
+ self.setting_names.append(setting_name)
+
+ def get_settings_values():
+ return [ui_settings.get_value_for_setting(key) for key in self.setting_names]
+
+ interface.load(fn=get_settings_values, inputs=[], outputs=self.comps, queue=False, show_progress=False)
+
+ return self.comps
+
+ def before_process(self, p, *args):
+ for name, value in zip(self.setting_names, args):
+ if name not in p.override_settings:
+ p.override_settings[name] = value
+
+
+shared.options_templates.update(shared.options_section(('ui', "User interface"), {
+ "extra_options": shared.OptionInfo([], "Options in main UI", ui_components.DropdownMulti, lambda: {"choices": list(shared.opts.data_labels.keys())}).js("info", "settingsHintsShowQuicksettings").info("setting entries that also appear in txt2img/img2img interfaces").needs_restart(),
+ "extra_options_accordion": shared.OptionInfo(False, "Place options in main UI into an accordion")
+}))
diff --git a/modules/processing.py b/modules/processing.py
index f628d88b..baa9b278 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -588,11 +588,15 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
def process_images(p: StableDiffusionProcessing) -> Processed:
+ if p.scripts is not None:
+ p.scripts.before_process(p)
+
stored_opts = {k: opts.data[k] for k in p.override_settings.keys()}
try:
# if no checkpoint override or the override checkpoint can't be found, remove override entry and load opts checkpoint
- if sd_models.checkpoint_alisases.get(p.override_settings.get('sd_model_checkpoint')) is None:
+ override_checkpoint = p.override_settings.get('sd_model_checkpoint')
+ if override_checkpoint is not None and sd_models.checkpoint_alisases.get(override_checkpoint) is None:
p.override_settings.pop('sd_model_checkpoint', None)
sd_models.reload_model_weights()
diff --git a/modules/scripts.py b/modules/scripts.py
index 0970f38e..b901862d 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -19,6 +19,9 @@ class Script:
name = None
"""script's internal name derived from title"""
+ section = None
+ """name of UI section that the script's controls will be placed into"""
+
filename = None
args_from = None
args_to = None
@@ -81,6 +84,15 @@ class Script:
pass
+ def before_process(self, p, *args):
+ """
+ This function is called very early before processing begins for AlwaysVisible scripts.
+ You can modify the processing object (p) here, inject hooks, etc.
+ args contains all values returned by components from ui()
+ """
+
+ pass
+
def process(self, p, *args):
"""
This function is called before processing begins for AlwaysVisible scripts.
@@ -293,6 +305,7 @@ class ScriptRunner:
self.titles = []
self.infotext_fields = []
self.paste_field_names = []
+ self.inputs = [None]
def initialize_scripts(self, is_img2img):
from modules import scripts_auto_postprocessing
@@ -320,69 +333,73 @@ class ScriptRunner:
self.scripts.append(script)
self.selectable_scripts.append(script)
- def setup_ui(self):
+ def create_script_ui(self, script):
import modules.api.models as api_models
- self.titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.selectable_scripts]
+ script.args_from = len(self.inputs)
+ script.args_to = len(self.inputs)
- inputs = [None]
- inputs_alwayson = [True]
+ controls = wrap_call(script.ui, script.filename, "ui", script.is_img2img)
- def create_script_ui(script, inputs, inputs_alwayson):
- script.args_from = len(inputs)
- script.args_to = len(inputs)
+ if controls is None:
+ return
- controls = wrap_call(script.ui, script.filename, "ui", script.is_img2img)
+ script.name = wrap_call(script.title, script.filename, "title", default=script.filename).lower()
+ api_args = []
- if controls is None:
- return
+ for control in controls:
+ control.custom_script_source = os.path.basename(script.filename)
- script.name = wrap_call(script.title, script.filename, "title", default=script.filename).lower()
- api_args = []
+ arg_info = api_models.ScriptArg(label=control.label or "")
- for control in controls:
- control.custom_script_source = os.path.basename(script.filename)
+ for field in ("value", "minimum", "maximum", "step", "choices"):
+ v = getattr(control, field, None)
+ if v is not None:
+ setattr(arg_info, field, v)
- arg_info = api_models.ScriptArg(label=control.label or "")
+ api_args.append(arg_info)
- for field in ("value", "minimum", "maximum", "step", "choices"):
- v = getattr(control, field, None)
- if v is not None:
- setattr(arg_info, field, v)
+ script.api_info = api_models.ScriptInfo(
+ name=script.name,
+ is_img2img=script.is_img2img,
+ is_alwayson=script.alwayson,
+ args=api_args,
+ )
- api_args.append(arg_info)
+ if script.infotext_fields is not None:
+ self.infotext_fields += script.infotext_fields
- script.api_info = api_models.ScriptInfo(
- name=script.name,
- is_img2img=script.is_img2img,
- is_alwayson=script.alwayson,
- args=api_args,
- )
+ if script.paste_field_names is not None:
+ self.paste_field_names += script.paste_field_names
- if script.infotext_fields is not None:
- self.infotext_fields += script.infotext_fields
+ self.inputs += controls
+ script.args_to = len(self.inputs)
- if script.paste_field_names is not None:
- self.paste_field_names += script.paste_field_names
+ def setup_ui_for_section(self, section, scriptlist=None):
+ if scriptlist is None:
+ scriptlist = self.alwayson_scripts
- inputs += controls
- inputs_alwayson += [script.alwayson for _ in controls]
- script.args_to = len(inputs)
+ for script in scriptlist:
+ if script.alwayson and script.section != section:
+ continue
- for script in self.alwayson_scripts:
- with gr.Group() as group:
- create_script_ui(script, inputs, inputs_alwayson)
+ with gr.Group(visible=script.alwayson) as group:
+ self.create_script_ui(script)
script.group = group
- dropdown = gr.Dropdown(label="Script", elem_id="script_list", choices=["None"] + self.titles, value="None", type="index")
- inputs[0] = dropdown
+ def prepare_ui(self):
+ self.inputs = [None]
- for script in self.selectable_scripts:
- with gr.Group(visible=False) as group:
- create_script_ui(script, inputs, inputs_alwayson)
+ def setup_ui(self):
+ self.titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.selectable_scripts]
- script.group = group
+ self.setup_ui_for_section(None)
+
+ dropdown = gr.Dropdown(label="Script", elem_id="script_list", choices=["None"] + self.titles, value="None", type="index")
+ self.inputs[0] = dropdown
+
+ self.setup_ui_for_section(None, self.selectable_scripts)
def select_script(script_index):
selected_script = self.selectable_scripts[script_index - 1] if script_index>0 else None
@@ -407,6 +424,7 @@ class ScriptRunner:
)
self.script_load_ctr = 0
+
def onload_script_visibility(params):
title = params.get('Script', None)
if title:
@@ -417,10 +435,10 @@ class ScriptRunner:
else:
return gr.update(visible=False)
- self.infotext_fields.append( (dropdown, lambda x: gr.update(value=x.get('Script', 'None'))) )
- self.infotext_fields.extend( [(script.group, onload_script_visibility) for script in self.selectable_scripts] )
+ self.infotext_fields.append((dropdown, lambda x: gr.update(value=x.get('Script', 'None'))))
+ self.infotext_fields.extend([(script.group, onload_script_visibility) for script in self.selectable_scripts])
- return inputs
+ return self.inputs
def run(self, p, *args):
script_index = args[0]
@@ -440,6 +458,14 @@ class ScriptRunner:
return processed
+ def before_process(self, p):
+ for script in self.alwayson_scripts:
+ try:
+ script_args = p.script_args[script.args_from:script.args_to]
+ script.before_process(p, *script_args)
+ except Exception:
+ errors.report(f"Error running before_process: {script.filename}", exc_info=True)
+
def process(self, p):
for script in self.alwayson_scripts:
try:
diff --git a/modules/shared_items.py b/modules/shared_items.py
index 27bceb18..89792e88 100644
--- a/modules/shared_items.py
+++ b/modules/shared_items.py
@@ -55,5 +55,15 @@ ui_reorder_categories_builtin_items = [
def ui_reorder_categories():
+ from modules import scripts
+
yield from ui_reorder_categories_builtin_items
+
+ sections = {}
+ for script in scripts.scripts_txt2img.scripts + scripts.scripts_img2img.scripts:
+ if isinstance(script.section, str):
+ sections[script.section] = 1
+
+ yield from sections
+
yield "scripts"
diff --git a/modules/ui.py b/modules/ui.py
index 35563669..4e0cf776 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -6,15 +6,17 @@ from functools import reduce
import warnings
import gradio as gr
-import gradio.routes
import gradio.utils
import numpy as np
from PIL import Image, PngImagePlugin # noqa: F401
from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call
-from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave, errors, shared_items
+from modules import sd_hijack, sd_models, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave, errors, shared_items, ui_settings
from modules.ui_components import FormRow, FormGroup, ToolButton, FormHTML
-from modules.paths import script_path, data_path
+from modules.paths import script_path
+from modules.ui_common import create_refresh_button
+from modules.ui_gradio_extensions import reload_javascript
+
from modules.shared import opts, cmd_opts
@@ -34,6 +36,8 @@ import modules.hypernetworks.ui
from modules.generation_parameters_copypaste import image_from_url_text
import modules.extras
+create_setting_component = ui_settings.create_setting_component
+
warnings.filterwarnings("default" if opts.show_warnings else "ignore", category=UserWarning)
# this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
@@ -366,25 +370,6 @@ def apply_setting(key, value):
return getattr(opts, key)
-def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id):
- def refresh():
- refresh_method()
- args = refreshed_args() if callable(refreshed_args) else refreshed_args
-
- for k, v in args.items():
- setattr(refresh_component, k, v)
-
- return gr.update(**(args or {}))
-
- refresh_button = ToolButton(value=refresh_symbol, elem_id=elem_id)
- refresh_button.click(
- fn=refresh,
- inputs=[],
- outputs=[refresh_component]
- )
- return refresh_button
-
-
def create_output_panel(tabname, outdir):
return ui_common.create_output_panel(tabname, outdir)
@@ -409,16 +394,6 @@ def ordered_ui_categories():
yield category
-def get_value_for_setting(key):
- value = getattr(opts, key)
-
- info = opts.data_labels[key]
- args = info.component_args() if callable(info.component_args) else info.component_args or {}
- args = {k: v for k, v in args.items() if k not in {'precision'}}
-
- return gr.update(value=value, **args)
-
-
def create_override_settings_dropdown(tabname, row):
dropdown = gr.Dropdown([], label="Override settings", visible=False, elem_id=f"{tabname}_override_settings", multiselect=True)
@@ -454,6 +429,8 @@ def create_ui():
with gr.Row().style(equal_height=False):
with gr.Column(variant='compact', elem_id="txt2img_settings"):
+ modules.scripts.scripts_txt2img.prepare_ui()
+
for category in ordered_ui_categories():
if category == "sampler":
steps, sampler_index = create_sampler_and_steps_selection(samplers, "txt2img")
@@ -522,6 +499,9 @@ def create_ui():
with FormGroup(elem_id="txt2img_script_container"):
custom_inputs = modules.scripts.scripts_txt2img.setup_ui()
+ else:
+ modules.scripts.scripts_txt2img.setup_ui_for_section(category)
+
hr_resolution_preview_inputs = [enable_hr, width, height, hr_scale, hr_resize_x, hr_resize_y]
for component in hr_resolution_preview_inputs:
@@ -778,6 +758,8 @@ def create_ui():
with FormRow():
resize_mode = gr.Radio(label="Resize mode", elem_id="resize_mode", choices=["Just resize", "Crop and resize", "Resize and fill", "Just resize (latent upscale)"], type="index", value="Just resize")
+ modules.scripts.scripts_img2img.prepare_ui()
+
for category in ordered_ui_categories():
if category == "sampler":
steps, sampler_index = create_sampler_and_steps_selection(samplers_for_img2img, "img2img")
@@ -887,6 +869,8 @@ def create_ui():
inputs=[],
outputs=[inpaint_controls, mask_alpha],
)
+ else:
+ modules.scripts.scripts_img2img.setup_ui_for_section(category)
img2img_gallery, generation_info, html_info, html_log = create_output_panel("img2img", opts.outdir_img2img_samples)
@@ -1460,195 +1444,10 @@ def create_ui():
outputs=[],
)
- def create_setting_component(key, is_quicksettings=False):
- def fun():
- return opts.data[key] if key in opts.data else opts.data_labels[key].default
-
- info = opts.data_labels[key]
- t = type(info.default)
-
- args = info.component_args() if callable(info.component_args) else info.component_args
-
- if info.component is not None:
- comp = info.component
- elif t == str:
- comp = gr.Textbox
- elif t == int:
- comp = gr.Number
- elif t == bool:
- comp = gr.Checkbox
- else:
- raise Exception(f'bad options item type: {t} for key {key}')
-
- elem_id = f"setting_{key}"
-
- if info.refresh is not None:
- if is_quicksettings:
- res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
- create_refresh_button(res, info.refresh, info.component_args, f"refresh_{key}")
- else:
- with FormRow():
- res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
- create_refresh_button(res, info.refresh, info.component_args, f"refresh_{key}")
- else:
- res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
-
- return res
-
loadsave = ui_loadsave.UiLoadsave(cmd_opts.ui_config_file)
- components = []
- component_dict = {}
- shared.settings_components = component_dict
-
- script_callbacks.ui_settings_callback()
- opts.reorder()
-
- def run_settings(*args):
- changed = []
-
- for key, value, comp in zip(opts.data_labels.keys(), args, components):
- assert comp == dummy_component or opts.same_type(value, opts.data_labels[key].default), f"Bad value for setting {key}: {value}; expecting {type(opts.data_labels[key].default).__name__}"
-
- for key, value, comp in zip(opts.data_labels.keys(), args, components):
- if comp == dummy_component:
- continue
-
- if opts.set(key, value):
- changed.append(key)
-
- try:
- opts.save(shared.config_filename)
- except RuntimeError:
- return opts.dumpjson(), f'{len(changed)} settings changed without save: {", ".join(changed)}.'
- return opts.dumpjson(), f'{len(changed)} settings changed{": " if len(changed) > 0 else ""}{", ".join(changed)}.'
-
- def run_settings_single(value, key):
- if not opts.same_type(value, opts.data_labels[key].default):
- return gr.update(visible=True), opts.dumpjson()
-
- if not opts.set(key, value):
- return gr.update(value=getattr(opts, key)), opts.dumpjson()
-
- opts.save(shared.config_filename)
-
- return get_value_for_setting(key), opts.dumpjson()
-
- with gr.Blocks(analytics_enabled=False) as settings_interface:
- with gr.Row():
- with gr.Column(scale=6):
- settings_submit = gr.Button(value="Apply settings", variant='primary', elem_id="settings_submit")
- with gr.Column():
- restart_gradio = gr.Button(value='Reload UI', variant='primary', elem_id="settings_restart_gradio")
-
- result = gr.HTML(elem_id="settings_result")
-
- quicksettings_names = opts.quicksettings_list
- quicksettings_names = {x: i for i, x in enumerate(quicksettings_names) if x != 'quicksettings'}
-
- quicksettings_list = []
-
- previous_section = None
- current_tab = None
- current_row = None
- with gr.Tabs(elem_id="settings"):
- for i, (k, item) in enumerate(opts.data_labels.items()):
- section_must_be_skipped = item.section[0] is None
-
- if previous_section != item.section and not section_must_be_skipped:
- elem_id, text = item.section
-
- if current_tab is not None:
- current_row.__exit__()
- current_tab.__exit__()
-
- gr.Group()
- current_tab = gr.TabItem(elem_id=f"settings_{elem_id}", label=text)
- current_tab.__enter__()
- current_row = gr.Column(variant='compact')
- current_row.__enter__()
-
- previous_section = item.section
-
- if k in quicksettings_names and not shared.cmd_opts.freeze_settings:
- quicksettings_list.append((i, k, item))
- components.append(dummy_component)
- elif section_must_be_skipped:
- components.append(dummy_component)
- else:
- component = create_setting_component(k)
- component_dict[k] = component
- components.append(component)
-
- if current_tab is not None:
- current_row.__exit__()
- current_tab.__exit__()
-
- with gr.TabItem("Defaults", id="defaults", elem_id="settings_tab_defaults"):
- loadsave.create_ui()
-
- with gr.TabItem("Actions", id="actions", elem_id="settings_tab_actions"):
- request_notifications = gr.Button(value='Request browser notifications', elem_id="request_notifications")
- download_localization = gr.Button(value='Download localization template', elem_id="download_localization")
- reload_script_bodies = gr.Button(value='Reload custom script bodies (No ui updates, No restart)', variant='secondary', elem_id="settings_reload_script_bodies")
- with gr.Row():
- unload_sd_model = gr.Button(value='Unload SD checkpoint to free VRAM', elem_id="sett_unload_sd_model")
- reload_sd_model = gr.Button(value='Reload the last SD checkpoint back into VRAM', elem_id="sett_reload_sd_model")
-
- with gr.TabItem("Licenses", id="licenses", elem_id="settings_tab_licenses"):
- gr.HTML(shared.html("licenses.html"), elem_id="licenses")
-
- gr.Button(value="Show all pages", elem_id="settings_show_all_pages")
-
-
- def unload_sd_weights():
- modules.sd_models.unload_model_weights()
-
- def reload_sd_weights():
- modules.sd_models.reload_model_weights()
-
- unload_sd_model.click(
- fn=unload_sd_weights,
- inputs=[],
- outputs=[]
- )
-
- reload_sd_model.click(
- fn=reload_sd_weights,
- inputs=[],
- outputs=[]
- )
-
- request_notifications.click(
- fn=lambda: None,
- inputs=[],
- outputs=[],
- _js='function(){}'
- )
-
- download_localization.click(
- fn=lambda: None,
- inputs=[],
- outputs=[],
- _js='download_localization'
- )
-
- def reload_scripts():
- modules.scripts.reload_script_body_only()
- reload_javascript() # need to refresh the html page
-
- reload_script_bodies.click(
- fn=reload_scripts,
- inputs=[],
- outputs=[]
- )
-
- restart_gradio.click(
- fn=shared.state.request_restart,
- _js='restart_reload',
- inputs=[],
- outputs=[],
- )
+ settings = ui_settings.UiSettings()
+ settings.create_ui(loadsave, dummy_component)
interfaces = [
(txt2img_interface, "txt2img", "txt2img"),
@@ -1660,7 +1459,7 @@ def create_ui():
]
interfaces += script_callbacks.ui_tabs_callback()
- interfaces += [(settings_interface, "Settings", "settings")]
+ interfaces += [(settings.interface, "Settings", "settings")]
extensions_interface = ui_extensions.create_ui()
interfaces += [(extensions_interface, "Extensions", "extensions")]
@@ -1670,10 +1469,7 @@ def create_ui():
shared.tab_names.append(label)
with gr.Blocks(theme=shared.gradio_theme, analytics_enabled=False, title="Stable Diffusion") as demo:
- with gr.Row(elem_id="quicksettings", variant="compact"):
- for _i, k, _item in sorted(quicksettings_list, key=lambda x: quicksettings_names.get(x[1], x[0])):
- component = create_setting_component(k, is_quicksettings=True)
- component_dict[k] = component
+ settings.add_quicksettings()
parameters_copypaste.connect_paste_params_buttons()
@@ -1704,49 +1500,12 @@ def create_ui():
footer = footer.format(versions=versions_html())
gr.HTML(footer, elem_id="footer")
- text_settings = gr.Textbox(elem_id="settings_json", value=lambda: opts.dumpjson(), visible=False)
- settings_submit.click(
- fn=wrap_gradio_call(run_settings, extra_outputs=[gr.update()]),
- inputs=components,
- outputs=[text_settings, result],
- )
-
- for _i, k, _item in quicksettings_list:
- component = component_dict[k]
- info = opts.data_labels[k]
-
- change_handler = component.release if hasattr(component, 'release') else component.change
- change_handler(
- fn=lambda value, k=k: run_settings_single(value, key=k),
- inputs=[component],
- outputs=[component, text_settings],
- show_progress=info.refresh is not None,
- )
+ settings.add_functionality(demo)
update_image_cfg_scale_visibility = lambda: gr.update(visible=shared.sd_model and shared.sd_model.cond_stage_key == "edit")
- text_settings.change(fn=update_image_cfg_scale_visibility, inputs=[], outputs=[image_cfg_scale])
+ settings.text_settings.change(fn=update_image_cfg_scale_visibility, inputs=[], outputs=[image_cfg_scale])
demo.load(fn=update_image_cfg_scale_visibility, inputs=[], outputs=[image_cfg_scale])
- button_set_checkpoint = gr.Button('Change checkpoint', elem_id='change_checkpoint', visible=False)
- button_set_checkpoint.click(
- fn=lambda value, _: run_settings_single(value, key='sd_model_checkpoint'),
- _js="function(v){ var res = desiredCheckpointName; desiredCheckpointName = ''; return [res || v, null]; }",
- inputs=[component_dict['sd_model_checkpoint'], dummy_component],
- outputs=[component_dict['sd_model_checkpoint'], text_settings],
- )
-
- component_keys = [k for k in opts.data_labels.keys() if k in component_dict]
-
- def get_settings_values():
- return [get_value_for_setting(key) for key in component_keys]
-
- demo.load(
- fn=get_settings_values,
- inputs=[],
- outputs=[component_dict[k] for k in component_keys],
- queue=False,
- )
-
def modelmerger(*args):
try:
results = modules.extras.run_modelmerger(*args)
@@ -1779,7 +1538,7 @@ def create_ui():
primary_model_name,
secondary_model_name,
tertiary_model_name,
- component_dict['sd_model_checkpoint'],
+ settings.component_dict['sd_model_checkpoint'],
modelmerger_result,
]
)
@@ -1793,70 +1552,6 @@ def create_ui():
return demo
-def webpath(fn):
- if fn.startswith(script_path):
- web_path = os.path.relpath(fn, script_path).replace('\\', '/')
- else:
- web_path = os.path.abspath(fn)
-
- return f'file={web_path}?{os.path.getmtime(fn)}'
-
-
-def javascript_html():
- # Ensure localization is in `window` before scripts
- head = f'\n'
-
- script_js = os.path.join(script_path, "script.js")
- head += f'\n'
-
- for script in modules.scripts.list_scripts("javascript", ".js"):
- head += f'\n'
-
- for script in modules.scripts.list_scripts("javascript", ".mjs"):
- head += f'\n'
-
- if cmd_opts.theme:
- head += f'\n'
-
- return head
-
-
-def css_html():
- head = ""
-
- def stylesheet(fn):
- return f''
-
- for cssfile in modules.scripts.list_files_with_name("style.css"):
- if not os.path.isfile(cssfile):
- continue
-
- head += stylesheet(cssfile)
-
- if os.path.exists(os.path.join(data_path, "user.css")):
- head += stylesheet(os.path.join(data_path, "user.css"))
-
- return head
-
-
-def reload_javascript():
- js = javascript_html()
- css = css_html()
-
- def template_response(*args, **kwargs):
- res = shared.GradioTemplateResponseOriginal(*args, **kwargs)
- res.body = res.body.replace(b'', f'{js}'.encode("utf8"))
- res.body = res.body.replace(b'