make UI restraints (currently sampling method only) more flexible and reusable across scripts

javascript/ui.js

@@ -185,38 +185,46 @@ onUiUpdate(function(){
 })
 
 /**
- * force Euler method for the "img2img alternative test" script
+ * Implement script-dependent UI restraints, e.g. forcing a specific sampling method
  */
-let prev_sampling_method;
-onUiTabChange(function() {
-    const currentTab = get_uiCurrentTab();
-    if ( ! currentTab || currentTab?.textContent.trim() !== 'img2img' ) {
+let prev_ui_states = {};
+function updateScriptRestraints() {
+    const currentTab = get_uiCurrentTab()?.textContent.trim();
+    const restraintsField = Array.from(gradioApp().querySelectorAll(`#${currentTab}_script_restraints_json textarea`))
+        .filter(el => uiElementIsVisible(el.closest('.gr-form')))?.[0];
+    
+    if ( ! restraintsField ) {
         return;
     }
 
-    const altScriptName = 'img2img alternative test';
-    const scriptSelect = gradioApp().querySelector('#component-223 select');
-    const methodRadios = gradioApp().querySelectorAll('[name="radio-component-182"]');
-    scriptSelect.addEventListener( 'change', function() {
-        if( scriptSelect.value === altScriptName) {
-            prev_sampling_method = gradioApp().querySelector('[name="radio-component-182"]:checked');
+    if ( typeof prev_ui_states[currentTab] === 'undefined' ) {
+        prev_ui_states[currentTab] = {};
+    }
+
+    window.requestAnimationFrame(() => {
+        const restraints = JSON.parse(restraintsField.value);
+        // const scriptSelect = gradioApp().querySelector(`#${currentTab}_scripts select`);
+        const methodRadios = gradioApp().querySelectorAll(`[name="radio-${currentTab}_sampling"]`);
+
+        if( restraints?.methods?.length ) {
+            prev_ui_states[currentTab].sampling_method = gradioApp().querySelector(`[name="radio-${currentTab}_sampling"]:checked`);
             methodRadios.forEach(radio => {
-                const isEuler = radio.value === 'Euler';
+                const isAllowed = restraints.methods.includes(radio.value);
                 const label = radio.closest('label');
-                radio.disabled = !isEuler;
-                radio.checked = isEuler;
-                label.classList[isEuler ? 'remove' : 'add']('!cursor-not-allowed');
-                label.title = !isEuler ? `${altScriptName} only works with the Euler method` : '';
+                radio.disabled = !isAllowed;
+                radio.checked = isAllowed;
+                label.classList[isAllowed ? 'remove' : 'add']('!cursor-not-allowed','disabled');
+                label.title = !isAllowed ? `The selected script does not work with this method` : '';
             });
         } else {
-            // reset to previous method
+            // reset to previously selected method
             methodRadios.forEach(radio => {
                 const label = radio.closest('label');
                 radio.disabled = false;
-                radio.checked = radio === prev_sampling_method;
-                label.classList.remove('!cursor-not-allowed');
+                radio.checked = radio === prev_ui_states[currentTab].sampling_method;
+                label.classList.remove('!cursor-not-allowed','disabled');
                 label.title = '';
             });
         }
-    });
-})
\ No newline at end of file
+    })
+}
\ No newline at end of file

modules/scripts.py

 import os
 import sys
 import traceback
+import json
 
 import modules.ui as ui
 import gradio as gr
@@ -24,6 +25,14 @@ class Script:
     def ui(self, is_img2img):
         pass
 
+    # Put restraints on UI elements when this script is selected.
+    # Restricting the available sampling methods:
+    # {
+    #   "methods": [ "Euler", "DDIM" ]
+    # }
+    def ui_restraints(self):
+        return {}
+
     # Determines when the script should be shown in the dropdown menu via the 
     # returned value. As an example:
     # is_img2img is True if the current tab is img2img, and False if it is txt2img.
@@ -106,7 +115,9 @@ class ScriptRunner:
 
         titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.scripts]
 
-        dropdown = gr.Dropdown(label="Script", choices=["None"] + titles, value="None", type="index")
+        id_prefix = "img2img_" if is_img2img else "txt2img_"
+
+        dropdown = gr.Dropdown(label="Script", choices=["None"] + titles, value="None", type="index", elem_id=id_prefix+"scripts")
         inputs = [dropdown]
 
         for script in self.scripts:
@@ -125,16 +136,23 @@ class ScriptRunner:
             inputs += controls
             script.args_to = len(inputs)
 
+        script_restraints_json = gr.Textbox(value="{}", elem_id=id_prefix+"script_restraints_json", show_label=False, visible=False)
+        inputs += [script_restraints_json];
+
         def select_script(script_index):
             if 0 < script_index <= len(self.scripts):
                 script = self.scripts[script_index-1]
                 args_from = script.args_from
                 args_to = script.args_to
             else:
+                script = None
                 args_from = 0
                 args_to = 0
 
-            return [ui.gr_show(True if i == 0 else args_from <= i < args_to) for i in range(len(inputs))]
+            return (
+                [ui.gr_show(True if i == 0 else args_from <= i < args_to) for i in range(len(inputs)-1)]
+                + [gr.Textbox.update(value=json.dumps(script.ui_restraints() if script is not None else {}), visible=False)]
+            )
 
         dropdown.change(
             fn=select_script,
@@ -142,6 +160,13 @@ class ScriptRunner:
             outputs=inputs
         )
 
+        script_restraints_json.change(
+            _js="updateScriptRestraints",
+            fn=lambda: None,
+            inputs=[],
+            outputs=[]
+        )
+
         return inputs
 
     def run(self, p: StableDiffusionProcessing, *args):

modules/ui.py

@@ -409,7 +409,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
 
         with gr.Row().style(equal_height=False):
             with gr.Column(variant='panel'):
-                steps = gr.Slider(minimum=1, maximum=150, step=1, label="Sampling Steps", value=20)
+                steps = gr.Slider(minimum=1, maximum=150, step=1, label="Sampling Steps", value=20, elem_id="txt2img_steps")
                 sampler_index = gr.Radio(label='Sampling method', elem_id="txt2img_sampling", choices=[x.name for x in samplers], value=samplers[0].name, type="index")
 
                 with gr.Group():
@@ -588,8 +588,8 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
                 with gr.Row():
                     resize_mode = gr.Radio(label="Resize mode", elem_id="resize_mode", show_label=False, choices=["Just resize", "Crop and resize", "Resize and fill"], type="index", value="Just resize")
 
-                steps = gr.Slider(minimum=1, maximum=150, step=1, label="Sampling Steps", value=20)
-                sampler_index = gr.Radio(label='Sampling method', choices=[x.name for x in samplers_for_img2img], value=samplers_for_img2img[0].name, type="index")
+                steps = gr.Slider(minimum=1, maximum=150, step=1, label="Sampling Steps", value=20, elem_id="img2img_steps")
+                sampler_index = gr.Radio(label='Sampling method', elem_id="img2img_sampling", choices=[x.name for x in samplers_for_img2img], value=samplers_for_img2img[0].name, type="index")
 
                 with gr.Group():
                     width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)

scripts/img2imgalt.py

@@ -129,6 +129,12 @@ class Script(scripts.Script):
         sigma_adjustment = gr.Checkbox(label="Sigma adjustment for finding noise for image", value=False)
         return [original_prompt, original_negative_prompt, cfg, st, randomness, sigma_adjustment]
 
+    def ui_restraints(self):
+        restraints = {
+            "methods": ["Euler"]
+        }
+        return restraints
+
     def run(self, p, original_prompt, original_negative_prompt, cfg, st, randomness, sigma_adjustment):
         p.batch_size = 1
         p.batch_count = 1

style.css

@@ -222,6 +222,10 @@ input[type="range"]{
     margin: 0.5em 0 -0.3em 0;
 }
 
+.gr-input-label.disabled {
+    opacity: 0.48;
+}
+
 #txt2img_sampling label{
     padding-left: 0.6em;
     padding-right: 0.6em;