Bump version to 1.2.0

Use relative paths for js imports

.github/ISSUE_TEMPLATE/BUG-REPORT.yml

@@ -0,0 +1,36 @@
+name: "Bug Report"
+description: Create a new ticket for a bug.
+title: "[BUG] - title"
+labels: [
+  "bug"
+]
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: "Description"
+      description: Please enter an explicit description of your issue.
+      placeholder: Short and explicit description of your incident...
+    validations:
+      required: true
+  - type: textarea
+    id: reprod
+    attributes:
+      label: "Reproduction steps"
+      description: Please enter an explicit description of your issue.
+      placeholder: |
+        1. Go to '...'
+        2. Click on '....'
+        3. Scroll down to '....'
+        4. See error
+    validations:
+      required: false
+  - type: textarea
+    id: image
+    attributes:
+      label: "Image file"
+      description: If applicable, add screenshots to help explain your problem.
+      placeholder: |
+        ![DESCRIPTION](LINK.png)
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/FEATURE-REQUEST.yml

@@ -0,0 +1,31 @@
+name: "Feature Request"
+description: Create a new ticket for a new feature request.
+title: "[FEATURE REQUEST] - title"
+labels: [
+  "question"
+]
+body:
+  - type: textarea
+    id: summary
+    attributes:
+      label: "Summary"
+      description: Provide a brief explanation of the feature.
+      placeholder: Describe in a few lines your feature request.
+    validations:
+      required: true
+  - type: textarea
+    id: basic_example
+    attributes:
+      label: "Basic Example"
+      description: Indicate here some basic examples of your feature.
+      placeholder: A few specific words about your feature request.
+    validations:
+      required: true
+  - type: textarea
+    id: reference_issues
+    attributes:
+      label: "Reference Issues."
+      description: Common issues
+      placeholder: "#Issues IDs"
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1 @@
+blank_issues_enabled: true

.github/workflows/package_repo.yml

@@ -0,0 +1,48 @@
+name: Package Repository with Submodules
+
+on:
+  push:
+    tags:        
+      - '*'
+  workflow_dispatch:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout Repository
+      uses: actions/checkout@v4
+      with:
+        submodules: true
+
+    - name: Update Submodules
+      run: git submodule update --init --recursive
+
+    - name: Get Tag Name
+      id: get_tag
+      run: echo "TAG_NAME=$(git describe --tags --abbrev=0)" >> $GITHUB_ENV
+
+    - name: Create ZIP Archive
+      run: |
+        tag_name="${{ env.TAG_NAME }}"
+        mkdir "comfyui-prompt-reader-node"
+        rsync -av --exclude='.github' \
+                  --exclude="comfyui-prompt-reader-node/" \
+                  --exclude="stable_diffusion_prompt_reader/images/" \
+                  --exclude="stable_diffusion_prompt_reader/whl/" \
+                  * comfyui-prompt-reader-node
+        zip -r "${tag_name}.zip" "comfyui-prompt-reader-node"
+
+    - name: Extract Section
+      id: extract_section
+      run: |
+        tag_name="${{ env.TAG_NAME }}"
+        sed -n "/## $tag_name/,/## /p" CHANGELOG.md | sed '$d' >> installation.md
+        sed -n '/## Installation/,/## Usage/ {/## Usage/!p;}' README.md >> installation.md
+    
+    - name: Create GitHub Release
+      uses: softprops/action-gh-release@v1
+      with:
+        files: ${{ env.TAG_NAME }}.zip
+        body_path: installation.md

CHANGELOG.md

@@ -0,0 +1,26 @@
+# Change Log
+## v1.2.0
+- Add `Parameter Extractor` node #24
+- Add a model matching feature to the `Prompt Reader` node #24
+- Add `save_metadata_file` option to the `Prompt Saver` node #30
+- Add `FILE_PATH` output to the `Prompt Saver` node #26
+- Fix the issue where the `Prompt Merger` node threw an error when merging empty strings #29
+- Enhance the `Batch Loader` node to support processing either a single file or a list of files #26
+- Update core to 1.3.4.post1
+
+## v1.1.0
+- Add `Batch Loader` node #13
+- Add `MODEL_NAME` output to the `Prompt Reader` node #23
+- Add VAE selector to the `Parameter Generator` node #15
+- Add pixel dimensions display to the `aspect_ratio` in the `Parameter Generator` node #6
+- Add Positive and Negative Aesthetic Score to the `PARAMETERS` in the `Parameter Generator` node #8
+- Add `FILENAME` and `METADATA` output to the `Prompt Saver` node #16
+
+## v1.0.1
+- Add a new file-naming mechanism to ensure naming uniqueness
+- Fix `%counter` overwriting existing images #11 #14
+- Fix the bug causing the `Prompt Saver` node fails to save images in jpg and webp formats #10
+- Use relative paths for js imports #12
+
+## v1.0.0
+- Initial release

README.md

@@ -8,8 +8,8 @@
         <img alt="GitHub tag (with filter)" src="https://img.shields.io/github/v/tag/receyuki/stable-diffusion-prompt-reader?label=core"></a>
     <a href="https://github.com/psf/black">
         <img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
-    <br><br>
-<h3>This project is currently in beta status. If you encounter any issues or have any suggestions, please let me know.</h3>
+    <br>
+
 This is a subproject of the 
 <a href="https://github.com/receyuki/stable-diffusion-prompt-reader">SD Prompt Reader.</a>
 It helps you extract metadata from images in any format supported by the 
@@ -20,9 +20,10 @@ additional metadata to ensure compatibility with metadata detection on websites
     <a href="#supported-formats">Supported Formats</a> •
     <a href="#installation">Installation</a> •
     <a href="#usage">Usage</a> •
+    <a href="./CHANGELOG.md">Change Log</a> •
     <a href="#credits">Credits</a>
   </p>
-    <img src="./images/screenshot_v100b2.png">
+    <img src="./images/screenshot_v120.png">
 </div>
 
 
@@ -42,9 +43,11 @@ additional metadata to ensure compatibility with metadata detection on websites
 See [SD Prompt Reader](https://github.com/receyuki/stable-diffusion-prompt-reader#supported-formats) for details
 
 ## Installation
-### Install via [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) (Recommended)
+>While ZIP package is available, it is strongly recommended not to use it for installation.
+### Install and update via [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) (Recommended)
 Search for `SD Prompt Reader` in the ComfyUI Manager and install it.
 ### Install manually
+Please make sure to install the submodules along with the main repository.
 1. `cd` to the `custom_node` folder
 2. Clone this repo
     ```shell
@@ -56,60 +59,135 @@ Search for `SD Prompt Reader` in the ComfyUI Manager and install it.
     pip install -r requirements.txt
     ```
 #### Update
-Please ensure that you update the submodules along with the main repo.
+When updating, don't forget to include the submodules along with the main repository.
 ```shell
 git pull --recurse-submodules
 ```
 
 ## Usage
 ### Prompt Reader Node
-- The Prompt Reader Node works exactly the same as the 
+- The `Prompt Reader` Node works exactly the same as the 
 [standalone SD Prompt Reader](https://github.com/receyuki/stable-diffusion-prompt-reader). 
 It uses the Image Data Reader from the 
 [standalone SD Prompt Reader](https://github.com/receyuki/stable-diffusion-prompt-reader), 
 allowing it to support the same formats and receive updates along with the 
-[SD Prompt Reader](https://github.com/receyuki/stable-diffusion-prompt-reader).   
-
-***For images containing multiple sets of parameters, such as those processed through `hires-fix` or `refiner`, 
-you will need to modify the `data_index` to select the parameters you need***   
-
-***For images generated by SDXL and containing multiple sets of prompts, 
-the text_g will be combined with text_l into a single prompt***
+[SD Prompt Reader](https://github.com/receyuki/stable-diffusion-prompt-reader).
+- Due to custom nodes and complex workflows potentially causing issues with SD Prompt Reader's ability 
+to read image metadata correctly, it is recommended to embed the `Prompt Saver` Node within the workflow 
+to ensure maximum compatibility.   
+- For images containing multiple sets of parameters, such as those processed through `hires-fix` or `refiner`, 
+you will need to modify the `parameter_index` to select the parameters you need
+- For images generated by SDXL and containing multiple sets of prompts, 
+the `text_g` will be combined with `text_l` into a single prompt
+- For batch processing, please use the `Batch Loader` node.
+- To read parameters other than the existing output, please connect the `settings` to the `Parameter Extractor` node.
+- `MODEL_NAME` is a special output that matches the model name in the metadata with the existing models on the server 
+according to the following priority:
+  1. Identical path, filename, and extension.
+  2. Identical filename, and extension. 
+e.g. `sd_xl_base.safetensors` will be matched with `SDXL\sd_xl_base.safetensors`, and vice versa.
+  3. Identical filename.
+e.g. `sd_xl_base` will be matched with `SDXL\sd_xl_base.safetensors`, and vice versa.
+  4. If a matching model cannot be found, the original name will be outputted.
 
 <div align="center">
    <img src="./images/reader.png" width="25%" height="25%" alt="reader node">
 </div>
 
-### Prompt Saver Node & Parameter Generator Node
-- The Prompt Saver Node and The Parameter Generator Node are designed to be used together.  
-- The Prompt Saver Node will write additional metadata in the A1111 format to the output images 
+### Prompt Saver Node
+- The `Prompt Saver` Node and The `Parameter Generator` Node are designed to be used together.  
+- The `Prompt Saver` Node will write additional metadata in the A1111 format to the output images 
 to be compatible with any tools that support the A1111 format, 
 including SD Prompt Reader and Civitai. 
 Due to custom nodes and complex workflows potentially causing issues with SD Prompt Reader's ability 
 to read image metadata correctly, it is recommended to embed this node within the workflow 
 to ensure maximum compatibility.   
-- Since it's not possible to directly extract metadata from KSampler, it is necessary to 
-use the Parameter Generator Node to generate parameters and simultaneously output them to both 
-the Prompt Saver Node and KSampler.
+- Since it's not possible to directly extract metadata from `KSampler`, it is necessary to 
+use the `Parameter Generator` Node to generate parameters and simultaneously output them to both 
+the `Prompt Saver` Node and `KSampler`.
+- Please refer to the following table for placeholders supported by the `filename` and `path`.
+
+   | Placeholder |
+   |-------------|
+   | %date       |
+   | %time       |
+   | %counter    |
+   | %seed       |
+   | %steps      |
+   | %cfg        |
+   | %extension  |
+   | %model      |
+   | %sampler    |
+   | %scheduler  |
+   | %quality    |
+- `%counter` cannot be used for the `path`. This `%counter` is slightly different from the `%counter` 
+in the built-in Saver node, it will count all image files in the `path`.
+- When the filename already exists, an index will be added at the end of the filename, 
+e.g. `file.png, file_1.png, file_2.png`.
+- For the `date_format` and `time_format`, please refer to 
+[strftime.org](https://strftime.org/) or [www.strfti.me](https://www.strfti.me/).
+- When the `save_metadata_file` is turned on, the metadata will be saved as a TXT file with the same name
+alongside the image.
 
 <div align="center">
-   <img src="./images/generator_saver.png" width="50%" height="50%" alt="generator and saver node">
+   <img src="./images/saver.png" width="25%" height="25%" alt="saver node">
+</div>
+
+## Parameter Generator Node
+- Since it's not possible to directly extract metadata from `KSampler`, it is necessary to 
+use the `Parameter Generator` Node to generate parameters and simultaneously output them to both 
+the `Prompt Saver` Node and `KSampler`.
+- The `Parameter Generator` Node can also be used as a control panel for complex ComfyUI workflows, just like the [AP workflow](https://perilli.com/ai/comfyui/).
+- The `model_version` and `aspect_ratio` are used only for calculating the optimal resolution of the selected model version 
+under the chosen aspect ratio. The calculation method is based on the 
+[Stability AI development documentation](https://platform.stability.ai/docs/features/api-parameters#about-dimensions) 
+and the [StableSwarmUI source code](https://github.com/Stability-AI/StableSwarmUI) (developed by Stability AI).
+- `refiner_start` refers to the proportion of steps completed when the refiner starts running, 
+i.e., the proportion of base steps to total steps. This is used to calculate the `start_at_step` (`REFINER_START_STEP`)
+required by the refiner `KSampler` under the selected step ratio.
+
+<div align="center">
+   <img src="./images/generator.png" width="25%" height="25%" alt="generator node">
+</div>
+
+### Batch Loader Node
+- The `Batch Loader` Node is specifically designed for the `Prompt Reader` Node to batch-read image files in a directory 
+and cannot be used with other custom nodes.
+- For batch processing, please connect the `IMAGE` output of the `Batch Loader` Node to the `image` input of 
+the `Prompt Reader` Node.
+- The `path` supports relative paths such as `./input/` or absolute paths like `C:/Users/receyuki/Pictures`.
+- Both `\ ` and `/` are acceptable.
+- You can also input a single file or a list of files into the `path`, 
+in which case the `image_load_limit` and `start_index` will not function.
+
+<div align="center">
+   <img src="./images/loader.png" width="25%" height="25%" alt="loader node">
+</div>
+
+### Parameter Extractor Node
+- The `Parameter Extractor` Node is an extension of the `Prompt Reader` Node, designed to retrieve the values 
+of all parameters in the settings (including those parameters that the `Prompt Reader` Node cannot output). 
+e.g. `Hires  upscaler`
+- Connect the `SETTINGS` of the `Prompt Reader` Node to the `settings` of the `Parameter Extractor` Node. 
+After the first run, the parameter list will be loaded.
+
+<div align="center">
+   <img src="./images/extractor.png" width="25%" height="25%" alt="extractor node">
 </div>
 
 ### Prompt Merger Node & Type Converter Node
 - Since the A1111 format cannot store `text_g` and `text_l` separately, SDXL users need to use 
-the Prompt Merger Node to combine `text_g` and `text_l` into a single prompt.
-- In some cases, inputs like `model_name`, `sampler_name`, and `scheduler` may conflict with other custom nodes. 
-You can use the SD Type Converter to convert them into `STRING` type and then 
-input them into `model_name_str`, `sampler_name_str`, and `scheduler_str`. Please note that inputs of type `STRING` 
-have higher priority, so do not connect `STRING` inputs unless necessary, as the Prompt Saver will prioritize reading 
-`STRING` inputs over regular ones.
+the `Prompt Merger` Node to combine `text_g` and `text_l` into a single prompt.
+- Since `model_name`, `sampler_name`, and `scheduler` are special types 
+that cannot be directly used by some other nodes,
+You can use the `Type Converter` Node to convert them into `STRING` type.
 
 <div align="center">
    <img src="./images/merger_converter.png" width="25%" height="25%" alt="merger and converter node">
 </div>
 
-### [Example Workflow](./workflows/example_workflow.json)
+### [Example Workflow](https://raw.githubusercontent.com/receyuki/comfyui-prompt-reader-node/main/workflows/example_workflow.json)
+
 <div align="center">
    <img src="./images/example_workflow.png" width="100%" height="100%" alt="example workflow">
 </div>
@@ -117,3 +195,5 @@ have higher priority, so do not connect `STRING` inputs unless necessary, as the
 ## Credits
 - The SD Prompt Reader node is based on [ComfyUI Load Image With Metadata](https://github.com/tkoenig89/ComfyUI_Load_Image_With_Metadata)
 - The SD Prompt Saver node is based on [Comfy Image Saver](https://github.com/giriss/comfy-image-saver) & [Stable Diffusion Webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
+- The seed generator in the SD Parameter Generator is modified from [rgthree's Comfy Nodes](https://github.com/rgthree/rgthree-comfy#rgthrees-comfy-nodes)
+- A special thanks to [@alessandroperilli](https://github.com/alessandroperilli) and his [AP Workflow](https://perilli.com/ai/comfyui/) for providing numerous suggestions

__init__.py

@@ -10,8 +10,16 @@ comfy_path = os.path.dirname(folder_paths.__file__)
 tk_nodes_path = os.path.join(os.path.dirname(__file__))
 
 js_dest_path = os.path.join(comfy_path, "web", "extensions", "SDPromptReader")
-if not os.path.exists(js_dest_path):
-    os.makedirs(js_dest_path)
+os.makedirs(js_dest_path, exist_ok=True)
 
-js_src_path = os.path.join(tk_nodes_path, "js", "promptDisplay.js")
-shutil.copy(js_src_path, js_dest_path)
+files_to_copy = [
+    "promptDisplay.js",
+    "parameterDisplay.js",
+    "seedGen.js",
+    "loaderDisplay.js",
+    "extractorDisplay.js",
+]
+
+for file in files_to_copy:
+    js_src_path = os.path.join(tk_nodes_path, "js", file)
+    shutil.copy(js_src_path, js_dest_path)

__version__.py

@@ -1 +1 @@
-VERSION = "1.0.0b2"
+VERSION = "1.2.0"

js/extractorDisplay.js

@@ -0,0 +1,38 @@
+import {app} from "../../scripts/app.js";
+import {ComfyWidgets} from "../../scripts/widgets.js";
+
+// Create a read-only string widget
+function createWidget(app, node, widgetName, type) {
+    const widget = ComfyWidgets[type](node, widgetName, ["STRING", {multiline: true}], app).widget;
+    widget.inputEl.readOnly = true;
+    widget.inputEl.style.textAlign = "center";
+    widget.inputEl.style.fontSize = "0.75rem";
+    return widget;
+}
+
+app.registerExtension({
+    name: "sd_prompt_reader.extractorDisplay",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name === "SDParameterExtractor") {
+            const onNodeCreated = nodeType.prototype.onNodeCreated;
+
+            nodeType.prototype.onNodeCreated = function () {
+                const result = onNodeCreated?.apply(this, arguments);
+
+                // Create widgets
+                const value_display = createWidget(app, this, "value_display", "STRING");
+            };
+
+            // Update widgets
+            const onExecuted = nodeType.prototype.onExecuted;
+            nodeType.prototype.onExecuted = function (message) {
+                onExecuted?.apply(this, arguments);
+                this.widgets.find(obj => obj.name === "value_display").value = message.text[1]
+                this.widgets.find(obj => obj.name === "parameter").options.values = message.text[0]
+                if (this.widgets.find(obj => obj.name === "parameter").value === "parameters not loaded") {
+                    this.widgets.find(obj => obj.name === "parameter").value = message.text[0][0]
+                }
+            };
+        }
+    },
+});

js/loaderDisplay.js

@@ -0,0 +1,36 @@
+import {app} from "../../scripts/app.js";
+import {ComfyWidgets} from "../../scripts/widgets.js";
+
+// Create a read-only string widget with opacity set
+function createWidget(app, node, widgetName) {
+    const widget = ComfyWidgets["STRING"](node, widgetName, ["STRING", {multiline: true}], app).widget;
+    widget.inputEl.readOnly = true;
+    widget.inputEl.style.opacity = 0.7;
+    return widget;
+}
+
+// Displays file list on the node
+app.registerExtension({
+    name: "sd_prompt_reader.loaderDisplay",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name === "SDBatchLoader") {
+            const onNodeCreated = nodeType.prototype.onNodeCreated;
+
+            nodeType.prototype.onNodeCreated = function () {
+                const result = onNodeCreated?.apply(this, arguments);
+
+                // Create prompt and setting widgets
+                const fileList = createWidget(app, this, "fileList");
+                return result;
+            };
+
+            // Update widgets
+            const onExecuted = nodeType.prototype.onExecuted;
+            nodeType.prototype.onExecuted = function (message) {
+                onExecuted?.apply(this, arguments);
+                this.widgets.find(obj => obj.name === "fileList").value = message.text[0];
+
+            };
+        }
+    },
+});

js/parameterDisplay.js

@@ -0,0 +1,76 @@
+import {app} from "../../scripts/app.js";
+import {ComfyWidgets} from "../../scripts/widgets.js";
+
+// Create a read-only string widget
+function createWidget(app, node, widgetName, type) {
+    const widget = ComfyWidgets[type](node, widgetName, ["STRING", {multiline: true}], app).widget;
+    widget.inputEl.readOnly = true;
+    widget.inputEl.style.textAlign = "center";
+    widget.inputEl.style.fontSize = "0.75rem";
+    return widget;
+}
+
+app.registerExtension({
+    name: "sd_prompt_reader.parameterDisplay",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name === "SDParameterGenerator") {
+            const onNodeCreated = nodeType.prototype.onNodeCreated;
+
+            nodeType.prototype.onNodeCreated = function () {
+                const result = onNodeCreated?.apply(this, arguments);
+
+                // Create widgets
+                const steps_display = createWidget(app, this, "steps_display", "STRING");
+                const aspect_ratio_display = createWidget(app, this, "aspect_ratio_display", "STRING");
+
+                // Resize the node
+                const nodeWidth = this.size[0];
+                const nodeHeight = this.size[1];
+                this.setSize([nodeWidth * 2, nodeHeight * 1.2]);
+                return result;
+
+            };
+
+            // Update widgets
+            const onExecuted = nodeType.prototype.onExecuted;
+            nodeType.prototype.onExecuted = function (message) {
+                onExecuted?.apply(this, arguments);
+                let ar_message;
+                if (message.text[0] === "custom") {
+                    ar_message = "Custom aspect ratio: " + message.text[2] + " x " + message.text[3];
+                } else {
+                    ar_message = `Optimal resolution for ${message.text[1]} model
+with aspect ratio ${message.text[0]}: ${message.text[2]} x ${message.text[3]}`;
+                    this.widgets.find(obj => obj.name === "width").value = message.text[2];
+                    this.widgets.find(obj => obj.name === "height").value = message.text[3];
+                }
+
+                const start_at_float = parseFloat(message.text[5])
+                const base_percentage = Math.round(start_at_float * 100) + "%";
+                // const refiner_percentage = Math.round((1 - start_at_float) * 100) + "%";
+                let step_message;
+                if (start_at_float === 1) {
+                    step_message = `Total steps: ${message.text[4]},
+Refiner off`;
+                } else {
+                    step_message = `Total steps: ${message.text[4]},
+Refiner start at step: ${message.text[6]} (${base_percentage})`;
+                }
+
+                this.widgets.find(obj => obj.name === "steps_display").value = step_message;
+                this.widgets.find(obj => obj.name === "aspect_ratio_display").value = ar_message;
+
+                const scalingFactor = message.text[9][message.text[1]]
+                const aspectRatioArray = Object.entries(message.text[8]).map(([ratio, dimensions]) => {
+                    const [width, height] = dimensions;
+                    return `${ratio} - ${width*scalingFactor}x${height*scalingFactor}`;
+                });
+                aspectRatioArray.unshift("custom")
+
+                const aspectRatio = `${message.text[0]} - ${message.text[8][message.text[0]][0]*scalingFactor}x${message.text[8][message.text[0]][1]*scalingFactor}`
+                this.widgets.find(obj => obj.name === "aspect_ratio").options.values = aspectRatioArray
+                this.widgets.find(obj => obj.name === "aspect_ratio").value = aspectRatio
+            };
+        }
+    },
+});

js/promptDisplay.js

@@ -1,5 +1,5 @@
-import {app} from "/scripts/app.js";
-import {ComfyWidgets} from "/scripts/widgets.js";
+import {app} from "../../scripts/app.js";
+import {ComfyWidgets} from "../../scripts/widgets.js";
 
 // Create a read-only string widget with opacity set
 function createWidget(app, node, widgetName) {
@@ -34,9 +34,9 @@ app.registerExtension({
             const onExecuted = nodeType.prototype.onExecuted;
             nodeType.prototype.onExecuted = function (message) {
                 onExecuted?.apply(this, arguments);
-                this.widgets[3].value = message.text[0];
-                this.widgets[4].value = message.text[1];
-                this.widgets[5].value = message.text[2];
+                this.widgets.find(obj => obj.name === "positive").value = message.text[0];
+                this.widgets.find(obj => obj.name === "negative").value = message.text[1];
+                this.widgets.find(obj => obj.name === "setting").value = message.text[2];
             };
         }
     },

js/seedGen.js

@@ -0,0 +1,154 @@
+/**
+ * Modified from: https://github.com/rgthree/rgthree-comfy/blob/main/web/seed.js
+ * Modified by: receyuki
+ */
+import {app} from "../../scripts/app.js";
+import {ComfyWidgets} from "../../scripts/widgets.js";
+
+const LAST_SEED_BUTTON_LABEL = "(Use Last Queued Seed)";
+const SPECIAL_SEED_RANDOM = -1;
+const SPECIAL_SEED_INCREMENT = -2;
+const SPECIAL_SEED_DECREMENT = -3;
+const SPECIAL_SEEDS = [SPECIAL_SEED_RANDOM, SPECIAL_SEED_INCREMENT, SPECIAL_SEED_DECREMENT];
+
+class SeedControl {
+    constructor(node) {
+        this.lastSeed = undefined;
+        this.serializedCtx = {};
+        this.lastSeedValue = null;
+        this.node = node;
+        this.node.constructor.exposedActions = ["Randomize seed each time", "Use last queued seed"];
+        const handleAction = this.node.handleAction;
+        this.node.handleAction = async (action) => {
+            handleAction && handleAction.call(this.node, action);
+            if (action === "Randomize each time") {
+                this.seedWidget.value = SPECIAL_SEED_RANDOM;
+            } else if (action === "Use last queued seed") {
+                this.seedWidget.value = this.lastSeed != null ? this.lastSeed : this.seedWidget.value;
+                this.lastSeedButton.name = LAST_SEED_BUTTON_LABEL;
+                this.lastSeedButton.disabled = true;
+            }
+        };
+        this.node.properties = this.node.properties || {};
+        for (const [i, w] of this.node.widgets.entries()) {
+            if (w.name === "seed") {
+                this.seedWidget = w;
+            } else if (w.name === "control_after_generate") {
+                this.node.widgets.splice(i, 1);
+            }
+        }
+        if (!this.seedWidget) {
+            throw new Error("Something's wrong; expected seed widget");
+        }
+        const randMax = Math.min(1125899906842624, this.seedWidget.options.max);
+        const randMin = Math.max(0, this.seedWidget.options.min);
+        const randomRange = (randMax - Math.max(0, randMin)) / (this.seedWidget.options.step / 10);
+        this.node.addWidget("button", "Randomize seed each time", null, () => {
+            this.seedWidget.value = SPECIAL_SEED_RANDOM;
+        }, {serialize: false});
+        this.node.addWidget("button", "New fixed random seed", null, () => {
+            this.seedWidget.value =
+                Math.floor(Math.random() * randomRange) * (this.seedWidget.options.step / 10) + randMin;
+        }, {serialize: false});
+        this.lastSeedButton = this.node.addWidget("button", LAST_SEED_BUTTON_LABEL, null, () => {
+            this.seedWidget.value = this.lastSeed != null ? this.lastSeed : this.seedWidget.value;
+            this.lastSeedButton.name = LAST_SEED_BUTTON_LABEL;
+            this.lastSeedButton.disabled = true;
+        }, {serialize: false});
+        this.lastSeedButton.disabled = true;
+        this.seedWidget.serializeValue = async (node, index) => {
+            const inputSeed = this.seedWidget.value;
+            this.serializedCtx = {
+                inputSeed: this.seedWidget.value,
+            };
+            if (SPECIAL_SEEDS.includes(this.serializedCtx.inputSeed)) {
+                if (typeof this.lastSeed === "number" && !SPECIAL_SEEDS.includes(this.lastSeed)) {
+                    if (inputSeed === SPECIAL_SEED_INCREMENT) {
+                        this.serializedCtx.seedUsed = this.lastSeed + 1;
+                    } else if (inputSeed === SPECIAL_SEED_DECREMENT) {
+                        this.serializedCtx.seedUsed = this.lastSeed - 1;
+                    }
+                }
+                if (!this.serializedCtx.seedUsed || SPECIAL_SEEDS.includes(this.serializedCtx.seedUsed)) {
+                    this.serializedCtx.seedUsed =
+                        Math.floor(Math.random() * randomRange) * (this.seedWidget.options.step / 10) + randMin;
+                }
+            } else {
+                this.serializedCtx.seedUsed = this.seedWidget.value;
+            }
+            node.widgets_values[index] = this.serializedCtx.seedUsed;
+            this.seedWidget.value = this.serializedCtx.seedUsed;
+            this.lastSeed = this.serializedCtx.seedUsed;
+            if (SPECIAL_SEEDS.includes(this.serializedCtx.inputSeed)) {
+                this.lastSeedButton.name = `${this.serializedCtx.seedUsed}`;
+                this.lastSeedButton.disabled = false;
+                if (this.lastSeedValue) {
+                    this.lastSeedValue.value = `Last Seed: ${this.serializedCtx.seedUsed}`;
+                }
+            } else {
+                this.lastSeedButton.name = LAST_SEED_BUTTON_LABEL;
+                this.lastSeedButton.disabled = true;
+            }
+            return this.serializedCtx.seedUsed;
+        };
+        this.seedWidget.afterQueued = () => {
+            if (this.serializedCtx.inputSeed) {
+                this.seedWidget.value = this.serializedCtx.inputSeed;
+            }
+            this.serializedCtx = {};
+        };
+        // this.node.getExtraMenuOptions = (_, options) => {
+        //     options.splice(options.length - 1, 0, {
+        //         content: "Show/Hide Last Seed Value",
+        //         callback: (_value, _options, _event, _parentMenu, _node) => {
+        //             this.node.properties["showLastSeed"] = !this.node.properties["showLastSeed"];
+        //             if (this.node.properties["showLastSeed"]) {
+        //                 this.addLastSeedValue();
+        //             } else {
+        //                 this.removeLastSeedValue();
+        //             }
+        //         },
+        //     });
+        // };
+    }
+
+    addLastSeedValue() {
+        if (this.lastSeedValue)
+            return;
+        this.lastSeedValue = ComfyWidgets["STRING"](this.node, "last_seed", ["STRING", {multiline: true}], app).widget;
+        this.lastSeedValue.inputEl.readOnly = true;
+        this.lastSeedValue.inputEl.style.fontSize = "0.75rem";
+        this.lastSeedValue.inputEl.style.textAlign = "center";
+        this.lastSeedValue.serializeValue = async (node, index) => {
+            node.widgets_values[index] = "";
+            return "";
+        };
+        this.node.computeSize();
+    }
+
+    removeLastSeedValue() {
+        if (!this.lastSeedValue)
+            return;
+        this.lastSeedValue.inputEl.remove();
+        this.node.widgets.splice(this.node.widgets.indexOf(this.lastSeedValue), 1);
+        this.lastSeedValue = null;
+        this.node.computeSize();
+    }
+}
+
+app.registerExtension({
+    name: "sd_prompt_reader.seedGen",
+    async beforeRegisterNodeDef(nodeType, nodeData, _app) {
+        if (nodeData.name === "SDParameterGenerator") {
+            const onNodeCreated = nodeType.prototype.onNodeCreated;
+            nodeType.prototype.onNodeCreated = function () {
+                const result = onNodeCreated?.apply(this, []);
+                this.seedControl = new SeedControl(this);
+                const nodeWidth = this.size[0];
+                const nodeHeight = this.size[1];
+                this.setSize([nodeWidth * 1.5, nodeHeight * 1.1]);
+                return result;
+            };
+        }
+    },
+});

nodes.py

@@ -7,8 +7,12 @@
 
 
 import os
+from datetime import datetime
+from itertools import chain
+
 import torch
 import json
+import re
 import numpy as np
 from pathlib import Path
 from PIL import Image, ImageOps
@@ -50,19 +54,43 @@ output_to_terminal("Node version: " + NODE_VERSION)
 output_to_terminal("Core version: " + CORE_VERSION)
 
 
+class AnyType(str):
+    """A special type that can be connected to any other types. Credit to pythongosssss"""
+
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+
+any_type = AnyType("*")
+
+
 class SDPromptReader:
+    files = []
+    ckpt_paths = []
+    ckpt_names = []
+    ckpt_stems = []
+
     @classmethod
     def INPUT_TYPES(s):
+        for path in folder_paths.get_filename_list("checkpoints"):
+            SDPromptReader.ckpt_paths.append(path)
+            SDPromptReader.ckpt_names.append(Path(path).name)
+            SDPromptReader.ckpt_stems.append(Path(path).stem)
+
         input_dir = folder_paths.get_input_directory()
-        files = [
-            f
-            for f in os.listdir(input_dir)
-            if os.path.isfile(os.path.join(input_dir, f))
-        ]
+        SDPromptReader.files = sorted(
+            [
+                f
+                for f in os.listdir(input_dir)
+                if os.path.isfile(os.path.join(input_dir, f))
+            ]
+        )
         return {
             "required": {
-                "image": (sorted(files), {"image_upload": True}),
-                "data_index": (
+                "image": (SDPromptReader.files, {"image_upload": True}),
+            },
+            "optional": {
+                "parameter_index": (
                     "INT",
                     {"default": 0, "min": 0, "max": 255, "step": 1},
                 ),
@@ -79,6 +107,8 @@ class SDPromptReader:
         "FLOAT",
         "INT",
         "INT",
+        any_type,
+        "STRING",
         "STRING",
     )
     RETURN_NAMES = (
@@ -91,15 +121,20 @@ class SDPromptReader:
         "CFG",
         "WIDTH",
         "HEIGHT",
-        "SETTING",
+        "MODEL_NAME",
+        "FILENAME",
+        "SETTINGS",
     )
 
     FUNCTION = "load_image"
     CATEGORY = "SD Prompt Reader"
     OUTPUT_NODE = True
 
-    def load_image(self, image, data_index):
-        image_path = folder_paths.get_annotated_filepath(image)
+    def load_image(self, image, parameter_index):
+        if image in SDPromptReader.files:
+            image_path = folder_paths.get_annotated_filepath(image)
+        else:
+            image_path = image
         i = Image.open(image_path)
         i = ImageOps.exif_transpose(i)
         image = i.convert("RGB")
@@ -111,24 +146,32 @@ class SDPromptReader:
         else:
             mask = torch.zeros((64, 64), dtype=torch.float32, device="cpu")
 
-        if Path(image_path).suffix not in SUPPORTED_FORMATS:
+        file_path = Path(image_path)
+
+        if file_path.suffix not in SUPPORTED_FORMATS:
             output_to_terminal(MESSAGE["suffix_error"][1])
             raise ValueError(MESSAGE["suffix_error"][1])
 
-        with open(Path(image_path), "rb") as f:
+        with open(file_path, "rb") as f:
             image_data = ImageDataReader(f)
             if not image_data.tool:
                 output_to_terminal(MESSAGE["format_error"][1])
                 raise ValueError(MESSAGE["format_error"][1])
 
             seed = int(
-                self.param_parser(image_data.parameter.get("seed"), data_index) or 0
+                self.param_parser(image_data.parameter.get("seed"), parameter_index)
+                or 0
             )
             steps = int(
-                self.param_parser(image_data.parameter.get("steps"), data_index) or 0
+                self.param_parser(image_data.parameter.get("steps"), parameter_index)
+                or 0
             )
             cfg = float(
-                self.param_parser(image_data.parameter.get("cfg"), data_index) or 0
+                self.param_parser(image_data.parameter.get("cfg"), parameter_index) or 0
+            )
+            model = str(
+                self.param_parser(image_data.parameter.get("model"), parameter_index)
+                or ""
             )
             width = int(image_data.width or 0)
             height = int(image_data.height or 0)
@@ -136,6 +179,9 @@ class SDPromptReader:
             output_to_terminal("Positive: \n" + image_data.positive)
             output_to_terminal("Negative: \n" + image_data.negative)
             output_to_terminal("Setting: \n" + image_data.setting)
+
+            model = self.search_model(model)
+
         return {
             "ui": {
                 "text": (image_data.positive, image_data.negative, image_data.setting)
@@ -150,6 +196,8 @@ class SDPromptReader:
                 cfg,
                 width,
                 height,
+                model,
+                file_path.stem,
                 image_data.setting,
             ),
         }
@@ -159,15 +207,36 @@ class SDPromptReader:
         data_list = data.strip("()").split(",")
         return data_list[0] if len(data_list) == 1 else data_list[index]
 
+    @staticmethod
+    def search_model(model: str):
+        if not model or model in SDPromptReader.ckpt_paths:
+            return model
+
+        model_path = Path(model)
+        model_name = model_path.name
+        model_stem = model_path.stem
+
+        if model_name in SDPromptReader.ckpt_names:
+            return SDPromptReader.ckpt_paths[
+                SDPromptReader.ckpt_names.index(model_name)
+            ]
+
+        if model_stem in SDPromptReader.ckpt_stems:
+            return SDPromptReader.ckpt_paths[
+                SDPromptReader.ckpt_stems.index(model_stem)
+            ]
+
+        return model
+
     @classmethod
-    def IS_CHANGED(s, image, data_index):
+    def IS_CHANGED(s, image, parameter_index):
         image_path = folder_paths.get_annotated_filepath(image)
         with open(Path(image_path), "rb") as f:
             image_data = ImageDataReader(f)
         return image_data.props
 
     @classmethod
-    def VALIDATE_INPUTS(s, image, data_index):
+    def VALIDATE_INPUTS(s, image, parameter_index):
         if not folder_paths.exists_annotated_filepath(image):
             return "Invalid image file: {}".format(image)
         return True
@@ -184,11 +253,15 @@ class SDPromptSaver:
         return {
             "required": {
                 "images": ("IMAGE",),
-                "filename_prefix": ("STRING", {"default": "ComfyUI"}),
             },
             "optional": {
+                "filename": (
+                    "STRING",
+                    {"default": "ComfyUI_%time_%seed_%counter", "multiline": False},
+                ),
+                "path": ("STRING", {"default": "%date/", "multiline": False}),
                 "model_name": (folder_paths.get_filename_list("checkpoints"),),
-                "model_name_str": ("STRING", {"default": ""}),
+                # "model_name_str": ("STRING", {"default": ""}),
                 "seed": (
                     "INT",
                     {
@@ -212,28 +285,39 @@ class SDPromptSaver:
                     },
                 ),
                 "sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
-                "sampler_name_str": ("STRING", {"default": ""}),
+                # "sampler_name_str": ("STRING", {"default": ""}),
                 "scheduler": (comfy.samplers.KSampler.SCHEDULERS,),
-                "scheduler_str": ("STRING", {"default": ""}),
-                "positive": ("STRING", {"default": "", "multiline": True}),
-                "negative": ("STRING", {"default": "", "multiline": True}),
-                "extension": (["png", "jpg", "webp"],),
+                # "scheduler_str": ("STRING", {"default": ""}),
                 "width": (
                     "INT",
-                    {"default": 0, "min": 1, "max": MAX_RESOLUTION, "step": 8},
+                    {"default": 1, "min": 1, "max": MAX_RESOLUTION, "step": 8},
                 ),
                 "height": (
                     "INT",
-                    {"default": 0, "min": 1, "max": MAX_RESOLUTION, "step": 8},
+                    {"default": 1, "min": 1, "max": MAX_RESOLUTION, "step": 8},
                 ),
+                "positive": ("STRING", {"default": "", "multiline": True}),
+                "negative": ("STRING", {"default": "", "multiline": True}),
+                "extension": (["png", "jpg", "webp"],),
                 "calculate_model_hash": ("BOOLEAN", {"default": False}),
                 "lossless_webp": ("BOOLEAN", {"default": True}),
                 "jpg_webp_quality": ("INT", {"default": 100, "min": 1, "max": 100}),
+                "date_format": (
+                    "STRING",
+                    {"default": "%Y-%m-%d", "multiline": False},
+                ),
+                "time_format": (
+                    "STRING",
+                    {"default": "%H%M%S", "multiline": False},
+                ),
+                "save_metadata_file": ("BOOLEAN", {"default": False}),
+                "extra_info": ("STRING", {"default": "", "multiline": True}),
             },
             "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
         }
 
-    RETURN_TYPES = ()
+    RETURN_TYPES = ("STRING", "STRING", "STRING")
+    RETURN_NAMES = ("FILENAME", "FILE_PATH", "METADATA")
     FUNCTION = "save_images"
 
     OUTPUT_NODE = True
@@ -243,7 +327,8 @@ class SDPromptSaver:
     def save_images(
         self,
         images,
-        filename_prefix,
+        filename: str = "ComfyUI_%time_%seed_%counter",
+        path: str = "%date/",
         model_name: str = "",
         model_name_str: str = "",
         seed: int = 0,
@@ -253,34 +338,66 @@ class SDPromptSaver:
         sampler_name_str: str = "",
         scheduler: str = "",
         scheduler_str: str = "",
+        width: int = 1,
+        height: int = 1,
         positive: str = "",
         negative: str = "",
         extension: str = "png",
-        width: int = 0,
-        height: int = 0,
         calculate_model_hash: bool = False,
         lossless_webp: bool = True,
         jpg_webp_quality: int = 100,
+        date_format: str = "%Y-%m-%d",
+        time_format: str = "%H%M%S",
+        save_metadata_file: bool = False,
+        extra_info: str = "",
         prompt=None,
         extra_pnginfo=None,
     ):
-        filename_prefix += self.prefix_append
         (
             full_output_folder,
-            filename,
-            counter,
-            subfolder,
+            filename_alt,
+            counter_alt,
+            subfolder_alt,
             filename_prefix,
         ) = folder_paths.get_save_image_path(
-            filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]
+            self.prefix_append,
+            self.output_dir,
+            images[0].shape[1],
+            images[0].shape[0],
         )
-        results = list()
-
-        model_name_real = model_name_str if model_name_str else model_name
-        sampler_name_real = sampler_name_str if sampler_name_str else sampler_name
-        scheduler_real = scheduler if scheduler_str else scheduler
 
+        results = []
+        files = []
+        comments = []
+        file_paths = []
         for image in images:
+            # model_name_str, sampler_name_str, scheduler_str = None, None, None
+
+            model_name_real = model_name_str if model_name_str else model_name
+            sampler_name_real = sampler_name_str if sampler_name_str else sampler_name
+            scheduler_real = scheduler_str if scheduler_str else scheduler
+
+            extra_info_real = f", Extra info: {extra_info}" if extra_info else ""
+
+            variable_map = {
+                "%date": self.get_time(date_format),
+                "%time": self.get_time(time_format),
+                "%seed": seed,
+                "%steps": steps,
+                "%cfg": cfg,
+                "%extension": extension,
+                "%model": model_name_real,
+                "%sampler": sampler_name_real,
+                "%scheduler": scheduler_real,
+                "%quality": jpg_webp_quality,
+            }
+
+            subfolder = self.get_path(path, variable_map)
+            output_folder = Path(full_output_folder) / subfolder
+            output_folder.mkdir(parents=True, exist_ok=True)
+            counter = self.get_counter(output_folder)
+            variable_map["%counter"] = f"{counter:05}"
+
             i = 255.0 * image.cpu().numpy()
             img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
             metadata = None
@@ -300,8 +417,13 @@ class SDPromptSaver:
                 f"{model_hash}"
                 f"Model: {Path(model_name_real).stem}, "
                 f"Version: ComfyUI"
+                f"{extra_info_real}"
             )
-            file = Path(full_output_folder) / f"{filename}_{counter:05}_.{extension}"
+
+            stem = self.get_path(filename, variable_map)
+            file = self.get_unique_filename(stem, extension, output_folder)
+            file_path = output_folder / file
+
             if extension == "png":
                 if not args.disable_metadata:
                     metadata = PngInfo()
@@ -312,12 +434,16 @@ class SDPromptSaver:
                         for x in extra_pnginfo:
                             metadata.add_text(x, json.dumps(extra_pnginfo[x]))
                 img.save(
-                    file,
+                    file_path,
                     pnginfo=metadata,
                     compress_level=4,
                 )
             else:
-                img.save(file, quality=jpg_webp_quality, lossless=lossless_webp)
+                img.save(
+                    file_path,
+                    quality=jpg_webp_quality,
+                    lossless=lossless_webp,
+                )
                 if not args.disable_metadata:
                     metadata = piexif.dump(
                         {
@@ -328,13 +454,21 @@ class SDPromptSaver:
                             },
                         }
                     )
-                    piexif.insert(metadata, str(file))
-            results.append(
-                {"filename": file.name, "subfolder": subfolder, "type": self.type}
-            )
-            counter += 1
+                    piexif.insert(metadata, str(file_path))
 
-        return {"ui": {"images": results}}
+            if save_metadata_file:
+                with open(file_path.with_suffix(".txt"), "w", encoding="utf-8") as f:
+                    f.write(comment)
+
+            results.append(
+                {"filename": file.name, "subfolder": str(subfolder), "type": self.type}
+            )
+            files.append(str(file))
+            file_paths.append(str(file_path))
+            output_to_terminal("Saved file: " + str(file))
+            comments.append(comment)
+
+        return {"ui": {"images": results}, "result": (files, file_paths, comments)}
 
     @staticmethod
     def calculate_model_hash(model_name):
@@ -348,22 +482,106 @@ class SDPromptSaver:
 
         return hash_sha256.hexdigest()[:10]
 
+    @staticmethod
+    def get_counter(directory: Path):
+        img_files = list(
+            chain(*(directory.rglob(f"*{suffix}") for suffix in SUPPORTED_FORMATS))
+        )
+        return len(img_files) + 1
+
+    @staticmethod
+    def get_path(name, variable_map):
+        for variable, value in variable_map.items():
+            name = name.replace(variable, str(value))
+        return Path(name)
+
+    @staticmethod
+    def get_time(time_format):
+        now = datetime.now()
+        try:
+            time_str = now.strftime(time_format)
+            return time_str
+        except:
+            return ""
+
+    @staticmethod
+    def get_unique_filename(stem: Path, extension: str, output_folder: Path):
+        file = stem.with_suffix(f".{extension}")
+        index = 0
+
+        while (output_folder / file).exists():
+            index += 1
+            new_stem = f"{stem}_{index}"
+            file = Path(new_stem).with_suffix(f".{extension}")
+
+        return file
+
 
 class SDParameterGenerator:
+    ASPECT_RATIO_MAP = {
+        "1:1": (512, 512),
+        "4:3": (576, 448),
+        "3:4": (448, 576),
+        "3:2": (608, 416),
+        "2:3": (416, 608),
+        "16:9": (672, 384),
+        "9:16": (384, 672),
+        "21:9": (768, 320),
+        "9:21": (320, 768),
+    }
+
+    MODEL_SCALING_FACTOR = {
+        "SDv1 512px": 1.0,
+        "SDv2 768px": 1.5,
+        "SDXL 1024px": 2.0,
+    }
+
+    DEFAULT_ASPECT_RATIO_DISPLAY = list(
+        map(
+            lambda x, scaling_factor=MODEL_SCALING_FACTOR: (
+                f"{x[0]} - "
+                f"{int(x[1][0]*scaling_factor['SDv1 512px'])}x"
+                f"{int(x[1][1]*scaling_factor['SDv1 512px'])} | "
+                f"{int(x[1][0]*scaling_factor['SDv2 768px'])}x"
+                f"{int(x[1][1]*scaling_factor['SDv2 768px'])} | "
+                f"{int(x[1][0]*scaling_factor['SDXL 1024px'])}x"
+                f"{int(x[1][1]*scaling_factor['SDXL 1024px'])}"
+            ),
+            ASPECT_RATIO_MAP.items(),
+        )
+    )
+
+    ckpt_list = []
+
     @classmethod
     def INPUT_TYPES(s):
+        SDParameterGenerator.ckpt_list = folder_paths.get_filename_list("checkpoints")
         return {
             "required": {
-                "ckpt_name": (folder_paths.get_filename_list("checkpoints"),),
-                "with_config": ("BOOLEAN", {"default": False}),
-                "config_name": (folder_paths.get_filename_list("configs"),),
+                "ckpt_name": (SDParameterGenerator.ckpt_list,),
             },
             "optional": {
+                "vae_name": (
+                    ["baked VAE"] + folder_paths.get_filename_list("vae"),
+                    {"default": "baked VAE"},
+                ),
+                "model_version": (
+                    list(SDParameterGenerator.MODEL_SCALING_FACTOR.keys()),
+                    {"default": "SDv1 512px"},
+                ),
+                "config_name": (
+                    ["none"] + folder_paths.get_filename_list("configs"),
+                    {"default": "none"},
+                ),
                 "seed": (
                     "INT",
-                    {"default": 0, "min": 0, "max": 0xFFFFFFFFFFFFFFFF},
+                    {"default": -1, "min": -3, "max": 0xFFFFFFFFFFFFFFFF},
                 ),
                 "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                "refiner_start": (
+                    "FLOAT",
+                    {"default": 0.8, "min": 0.0, "max": 1.0, "step": 0.01},
+                ),
                 "cfg": (
                     "FLOAT",
                     {
@@ -376,6 +594,18 @@ class SDParameterGenerator:
                 ),
                 "sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
                 "scheduler": (comfy.samplers.KSampler.SCHEDULERS,),
+                "positive_ascore": (
+                    "FLOAT",
+                    {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01},
+                ),
+                "negative_ascore": (
+                    "FLOAT",
+                    {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01},
+                ),
+                "aspect_ratio": (
+                    ["custom"] + SDParameterGenerator.DEFAULT_ASPECT_RATIO_DISPLAY,
+                    {"default": "custom"},
+                ),
                 "width": (
                     "INT",
                     {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 8},
@@ -384,35 +614,53 @@ class SDParameterGenerator:
                     "INT",
                     {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 8},
                 ),
+                "batch_size": (
+                    "INT",
+                    {
+                        "default": 1,
+                        "min": 1,
+                        "max": 4096,
+                    },
+                ),
             },
         }
 
     RETURN_TYPES = (
+        folder_paths.get_filename_list("checkpoints"),
         "MODEL",
         "CLIP",
         "VAE",
-        folder_paths.get_filename_list("checkpoints"),
+        "INT",
         "INT",
         "INT",
         "FLOAT",
         comfy.samplers.KSampler.SAMPLERS,
         comfy.samplers.KSampler.SCHEDULERS,
+        "FLOAT",
+        "FLOAT",
         "INT",
         "INT",
+        "INT",
+        "STRING",
     )
 
     RETURN_NAMES = (
+        "MODEL_NAME",
         "MODEL",
         "CLIP",
         "VAE",
-        "MODEL_NAME",
         "SEED",
         "STEPS",
+        "REFINER_START_STEP",
         "CFG",
         "SAMPLER_NAME",
         "SCHEDULER",
+        "POSITIVE_ASCORE",
+        "NEGATIVE_ASCORE",
         "WIDTH",
         "HEIGHT",
+        "BATCH_SIZE",
+        "PARAMETERS",
     )
     FUNCTION = "generate_parameter"
 
@@ -421,21 +669,30 @@ class SDParameterGenerator:
     def generate_parameter(
         self,
         ckpt_name,
-        with_config,
+        vae_name,
+        model_version,
         config_name,
         seed,
         steps,
+        refiner_start,
         cfg,
         sampler_name,
         scheduler,
+        positive_ascore,
+        negative_ascore,
+        aspect_ratio,
         width,
         height,
+        batch_size,
         output_vae=True,
         output_clip=True,
     ):
-        config_path = folder_paths.get_full_path("configs", config_name)
+        if ckpt_name not in SDParameterGenerator.ckpt_list:
+            raise FileNotFoundError(f"Invalid ckpt_name: {ckpt_name}")
+
         ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
-        if with_config:
+        if config_name != "none":
+            config_path = folder_paths.get_full_path("configs", config_name)
             checkpoint = comfy.sd.load_checkpoint(
                 config_path,
                 ckpt_path,
@@ -450,23 +707,89 @@ class SDParameterGenerator:
                 output_clip=True,
                 embedding_directory=folder_paths.get_folder_paths("embeddings"),
             )[:3]
-        return checkpoint + (
-            ckpt_name,
-            seed,
-            steps,
-            cfg,
-            sampler_name,
-            scheduler,
-            width,
-            height,
+
+        if vae_name != "baked VAE":
+            vae_path = folder_paths.get_full_path("vae", vae_name)
+            sd = comfy.utils.load_torch_file(vae_path)
+            vae = comfy.sd.VAE(sd=sd)
+            checkpoint = (*checkpoint[:2], vae)
+
+        if aspect_ratio != "custom":
+            aspect_ratio_value = aspect_ratio.split(" - ")[0]
+            width = int(
+                SDParameterGenerator.ASPECT_RATIO_MAP[aspect_ratio_value][0]
+                * SDParameterGenerator.MODEL_SCALING_FACTOR[model_version]
+            )
+            height = int(
+                SDParameterGenerator.ASPECT_RATIO_MAP[aspect_ratio_value][1]
+                * SDParameterGenerator.MODEL_SCALING_FACTOR[model_version]
+            )
+
+        base_steps = int(steps * refiner_start)
+        refiner_steps = steps - base_steps
+
+        if model_version == "SDXL 1024px":
+            ascore = (
+                f"Positive aesthetic score: {positive_ascore},\n"
+                f"Negative aesthetic score: {negative_ascore},\n"
+            )
+        else:
+            ascore = ""
+
+        parameters = (
+            f"Model: {ckpt_name},\n"
+            f"Seed: {str(seed)},\n"
+            f"Steps: {str(steps)},\n"
+            f"CFG scale: {str(cfg)},\n"
+            f"Sampler: {sampler_name},\n"
+            f"Scheduler: {scheduler},\n"
+            f"{ascore}"
+            f"Size: {str(width)}x{str(height)},\n"
+            f"Batch size: {str(batch_size)}\n"
         )
 
+        return {
+            "ui": {
+                "text": (
+                    aspect_ratio.split(" - ")[0],
+                    model_version,
+                    width,
+                    height,
+                    steps,
+                    refiner_start,
+                    base_steps,
+                    refiner_steps,
+                    SDParameterGenerator.ASPECT_RATIO_MAP,
+                    SDParameterGenerator.MODEL_SCALING_FACTOR,
+                )
+            },
+            "result": (
+                (ckpt_name,)
+                + checkpoint
+                + (
+                    seed,
+                    steps,
+                    base_steps,
+                    cfg,
+                    sampler_name,
+                    scheduler,
+                    positive_ascore,
+                    negative_ascore,
+                    width,
+                    height,
+                    batch_size,
+                    parameters,
+                )
+            ),
+        }
+
 
 class SDPromptMerger:
     @classmethod
     def INPUT_TYPES(s):
         return {
-            "required": {
+            "required": {},
+            "optional": {
                 "text_g": (
                     "STRING",
                     {"default": "", "multiline": True, "forceInput": True},
@@ -482,10 +805,8 @@ class SDPromptMerger:
     FUNCTION = "merge_prompt"
     CATEGORY = "SD Prompt Reader"
 
-    def merge_prompt(self, text_g, text_l):
-        if text_l == "":
-            return text_g
-        return (text_g + "\n" + text_l,)
+    def merge_prompt(self, text_g="", text_l=""):
+        return (text_g + ("\n" + text_l if text_g and text_l else text_l),)
 
 
 class SDTypeConverter:
@@ -494,9 +815,15 @@ class SDTypeConverter:
         return {
             "required": {},
             "optional": {
-                "model_name": (folder_paths.get_filename_list("checkpoints"),),
-                "sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
-                "scheduler": (comfy.samplers.KSampler.SCHEDULERS,),
+                "model_name": (
+                    folder_paths.get_filename_list("checkpoints"),
+                    {"forceInput": True},
+                ),
+                "sampler_name": (
+                    comfy.samplers.KSampler.SAMPLERS,
+                    {"forceInput": True},
+                ),
+                "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"forceInput": True}),
             },
         }
 
@@ -525,12 +852,199 @@ class SDTypeConverter:
         )
 
 
+class SDBatchLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "path": ("STRING", {"default": "./input/"}),
+            },
+            "optional": {
+                "image_load_limit": ("INT", {"default": 0, "min": 0, "step": 1}),
+                "start_index": ("INT", {"default": 0, "min": 0, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = (any_type,)
+
+    RETURN_NAMES = ("IMAGE",)
+    OUTPUT_IS_LIST = (True,)
+    FUNCTION = "load_path"
+    CATEGORY = "SD Prompt Reader"
+
+    def load_path(
+        self,
+        path: str = "./input/",
+        image_load_limit: int = 0,
+        start_index: int = 0,
+    ):
+        if isinstance(path, list):
+            files_str = [str(Path(p)) for p in path if Path(p).exists()]
+            return {
+                "ui": {
+                    "text": ("\n".join(files_str),),
+                },
+                "result": (files_str,),
+            }
+        elif Path(path).is_file():
+            return {
+                "ui": {
+                    "text": (str(Path(path)),),
+                },
+                "result": ([str(Path(path))],),
+            }
+        elif not Path(path).is_dir():
+            raise FileNotFoundError(f"Invalid directory: {path}")
+
+        files = list(
+            filter(lambda file: file.suffix in SUPPORTED_FORMATS, Path(path).iterdir())
+        )
+
+        files = (
+            sorted(files)[start_index : start_index + image_load_limit]
+            if image_load_limit > 0
+            else sorted(files)[start_index:]
+        )
+
+        files_str = list(map(str, files))
+        return {
+            "ui": {
+                "text": ("\n".join(files_str),),
+            },
+            "result": (files_str,),
+        }
+
+    @classmethod
+    def IS_CHANGED(
+        s,
+        path,
+        image_load_limit,
+        start_index,
+    ):
+        return os.listdir(path)
+
+    @classmethod
+    def VALIDATE_INPUTS(
+        s,
+        path,
+        image_load_limit,
+        start_index,
+    ):
+        if Path(path).is_file():
+            return True
+        if not Path(path).is_dir():
+            return f"Invalid directory: {path}"
+        return True
+
+
+class SDParameterExtractor:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "settings": (
+                    "STRING",
+                    {"default": "", "multiline": True, "forceInput": True},
+                )
+            },
+            "optional": {
+                "parameter": (
+                    ["parameters not loaded"],
+                    {"default": "parameters not loaded"},
+                ),
+                "value_type": (["STRING", "INT", "FLOAT"], {"default": "STRING"}),
+                "parameter_index": (
+                    "INT",
+                    {"default": 0, "min": 0, "max": 255, "step": 1},
+                ),
+            },
+        }
+
+    RETURN_TYPES = (any_type,)
+    RETURN_NAMES = ("VALUE",)
+    OUTPUT_NODE = True
+    FUNCTION = "extract_param"
+    CATEGORY = "SD Prompt Reader"
+
+    def extract_param(
+        self,
+        settings: str = "",
+        parameter: str = "",
+        value_type: str = "STRING",
+        parameter_index: int = 0,
+    ):
+        setting_dict = self.parse_setting(settings)
+        if not settings or not parameter or parameter == "parameters not loaded":
+            return {
+                "ui": {
+                    "text": (list(setting_dict.keys()), ""),
+                },
+                "result": ("",),
+            }
+
+        result = setting_dict.get(parameter)
+
+        try:
+            if isinstance(result, tuple):
+                result = result[parameter_index]
+            if value_type == "INT":
+                result = int(result)
+            elif value_type == "FLOAT":
+                result = float(result)
+        except IndexError:
+            return {
+                "ui": {
+                    "text": (list(setting_dict.keys()), "Parameter index out of range"),
+                },
+                "result": ("",),
+            }
+        except (ValueError, TypeError):
+            return {
+                "ui": {
+                    "text": (
+                        list(setting_dict.keys()),
+                        f"{parameter}: {result}\n"
+                        f"{result} is not a valid number; it will be output as STRING",
+                    ),
+                },
+                "result": (result,),
+            }
+        return {
+            "ui": {
+                "text": (list(setting_dict.keys()), f"{parameter}: {result}"),
+            },
+            "result": (result,),
+        }
+
+    @staticmethod
+    def parse_setting(settings):
+        pattern = re.compile(r"([^:,]+):\s*\(([^)]+)\)|([^:,]+):\s*([^,]+)")
+
+        matches = pattern.findall(settings)
+
+        result = {}
+        for match in matches:
+            key, value_paren, key_nonparen, value_nonparen = match
+            if key:
+                key = key.strip()
+                value = value_paren.strip()
+                value = tuple(v.strip() for v in value.split(","))
+            else:
+                key = key_nonparen.strip()
+                value = value_nonparen.strip()
+            result[key] = value
+
+        return result
+
+
 NODE_CLASS_MAPPINGS = {
     "SDPromptReader": SDPromptReader,
     "SDPromptSaver": SDPromptSaver,
     "SDParameterGenerator": SDParameterGenerator,
     "SDPromptMerger": SDPromptMerger,
     "SDTypeConverter": SDTypeConverter,
+    "SDBatchLoader": SDBatchLoader,
+    "SDParameterExtractor": SDParameterExtractor,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -539,4 +1053,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "SDParameterGenerator": "SD Parameter Generator",
     "SDPromptMerger": "SD Prompt Merger",
     "SDTypeConverter": "SD Type Converter",
+    "SDBatchLoader": "SD Batch Loader",
+    "SDParameterExtractor": "SD Parameter Extractor",
 }