Update README.md

Use relative paths for js imports

.github/workflows/package_repo.yml

@@ -36,7 +36,10 @@ jobs:
 
     - name: Extract Section
       id: extract_section
-      run: sed -n '/## Installation/,/## Usage/ {/## Usage/!p;}' README.md > installation.md
+      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

CHANGELOG.md

@@ -0,0 +1,17 @@
+# Change Log
+## 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

@@ -9,9 +9,7 @@
     <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>
-<blockquote>
-This project is currently in beta status. If you encounter any issues or have any suggestions, please let me know.
-</blockquote>
+
 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 
@@ -22,9 +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_v110.png">
 </div>
 
 
@@ -66,56 +65,104 @@ git pull --recurse-submodules
 ```
 
 ## Usage
->The following section may be outdated and could differ from the actual nodes.
 ### 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.
 
 <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/).
 
 <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.
+
+<div align="center">
+   <img src="./images/loader.png" width="25%" height="25%" alt="loader 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)
->The example workflow is outdated and will be updated in the stable release.
+### [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">
@@ -125,4 +172,4 @@ have higher priority, so do not connect `STRING` inputs unless necessary, as the
 - 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
+- A special thanks to [@alessandroperilli](https://github.com/alessandroperilli) and his [AP Workflow](https://perilli.com/ai/comfyui/) for providing numerous suggestions

__init__.py

@@ -12,7 +12,12 @@ tk_nodes_path = os.path.join(os.path.dirname(__file__))
 js_dest_path = os.path.join(comfy_path, "web", "extensions", "SDPromptReader")
 os.makedirs(js_dest_path, exist_ok=True)
 
-files_to_copy = ["promptDisplay.js", "parameterDisplay.js", "seedGen.js"]
+files_to_copy = [
+    "promptDisplay.js",
+    "parameterDisplay.js",
+    "seedGen.js",
+    "loaderDisplay.js",
+]
 
 for file in files_to_copy:
     js_src_path = os.path.join(tk_nodes_path, "js", file)

__version__.py

@@ -1 +1 @@
-VERSION = "1.0.0b3"
+VERSION = "1.1.0"

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

@@ -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
 function createWidget(app, node, widgetName, type) {
@@ -59,6 +59,17 @@ 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

@@ -97,19 +97,19 @@ class SeedControl {
             }
             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();
-                    }
-                },
-            });
-        };
+        // 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() {

nodes.py

@@ -8,6 +8,7 @@
 
 import os
 from datetime import datetime
+from itertools import chain
 
 import torch
 import json
@@ -52,18 +53,34 @@ 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 = []
+
     @classmethod
     def INPUT_TYPES(s):
         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}),
+                "image": (SDPromptReader.files, {"image_upload": True}),
+            },
+            "optional": {
                 "parameter_index": (
                     "INT",
                     {"default": 0, "min": 0, "max": 255, "step": 1},
@@ -81,6 +98,7 @@ class SDPromptReader:
         "FLOAT",
         "INT",
         "INT",
+        any_type,
         "STRING",
         "STRING",
     )
@@ -94,8 +112,9 @@ class SDPromptReader:
         "CFG",
         "WIDTH",
         "HEIGHT",
+        "MODEL_NAME",
+        "FILENAME",
         "SETTINGS",
-        "FILE_NAME",
     )
 
     FUNCTION = "load_image"
@@ -103,7 +122,10 @@ class SDPromptReader:
     OUTPUT_NODE = True
 
     def load_image(self, image, parameter_index):
-        image_path = folder_paths.get_annotated_filepath(image)
+        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")
@@ -138,6 +160,10 @@ class SDPromptReader:
             cfg = float(
                 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)
 
@@ -158,8 +184,9 @@ class SDPromptReader:
                 cfg,
                 width,
                 height,
-                image_data.setting,
+                model,
                 file_path.stem,
+                image_data.setting,
             ),
         }
 
@@ -169,14 +196,14 @@ class SDPromptReader:
         return data_list[0] if len(data_list) == 1 else data_list[index]
 
     @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
@@ -201,7 +228,7 @@ class SDPromptSaver:
                 ),
                 "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",
                     {
@@ -225,9 +252,9 @@ 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": ""}),
+                # "scheduler_str": ("STRING", {"default": ""}),
                 "width": (
                     "INT",
                     {"default": 1, "min": 1, "max": MAX_RESOLUTION, "step": 8},
@@ -255,7 +282,8 @@ class SDPromptSaver:
             "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
         }
 
-    RETURN_TYPES = ()
+    RETURN_TYPES = ("STRING", "STRING")
+    RETURN_NAMES = ("FILENAME", "METADATA")
     FUNCTION = "save_images"
 
     OUTPUT_NODE = True
@@ -293,36 +321,47 @@ class SDPromptSaver:
         (
             full_output_folder,
             filename_alt,
-            counter,
+            counter_alt,
             subfolder_alt,
             filename_prefix,
         ) = folder_paths.get_save_image_path(
-            self.prefix_append, 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_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),
-            "%counter": f"{counter:05}",
-            "%seed": seed,
-            "%steps": steps,
-            "%cfg": cfg,
-            "%extension": extension,
-            "%model": model_name_real,
-            "%sampler": sampler_name_real,
-            "%scheduler": scheduler_real,
-            "%quality": jpg_webp_quality,
-        }
-
+        results = []
+        files = []
+        comments = []
         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
@@ -344,10 +383,9 @@ class SDPromptSaver:
                 f"Version: ComfyUI"
                 f"{extra_info_real}"
             )
-            subfolder = self.get_path(path, variable_map)
-            output_folder = Path(full_output_folder) / subfolder
-            output_folder.mkdir(parents=True, exist_ok=True)
-            file = self.get_path(filename, variable_map).with_suffix("." + extension)
+
+            stem = self.get_path(filename, variable_map)
+            file = self.get_unique_filename(stem, extension, output_folder)
 
             if extension == "png":
                 if not args.disable_metadata:
@@ -379,13 +417,15 @@ class SDPromptSaver:
                             },
                         }
                     )
-                    piexif.insert(metadata, str(file))
+                    piexif.insert(metadata, str(output_folder / file))
             results.append(
                 {"filename": file.name, "subfolder": str(subfolder), "type": self.type}
             )
-            counter += 1
+            files.append(str(file))
+            output_to_terminal("Saved file: " + str(file))
+            comments.append(comment)
 
-        return {"ui": {"images": results}}
+        return {"ui": {"images": results}, "result": (files, comments)}
 
     @staticmethod
     def calculate_model_hash(model_name):
@@ -399,6 +439,13 @@ 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():
@@ -414,6 +461,18 @@ class SDPromptSaver:
         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 = {
@@ -434,13 +493,35 @@ class SDParameterGenerator:
         "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"),),
+                "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"},
@@ -479,7 +560,7 @@ class SDParameterGenerator:
                     {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01},
                 ),
                 "aspect_ratio": (
-                    ["custom"] + list(SDParameterGenerator.ASPECT_RATIO_MAP.keys()),
+                    ["custom"] + SDParameterGenerator.DEFAULT_ASPECT_RATIO_DISPLAY,
                     {"default": "custom"},
                 ),
                 "width": (
@@ -544,8 +625,9 @@ class SDParameterGenerator:
 
     def generate_parameter(
         self,
-        model_version,
         ckpt_name,
+        vae_name,
+        model_version,
         config_name,
         seed,
         steps,
@@ -562,6 +644,9 @@ class SDParameterGenerator:
         output_vae=True,
         output_clip=True,
     ):
+        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 config_name != "none":
             config_path = folder_paths.get_full_path("configs", config_name)
@@ -580,19 +665,34 @@ class SDParameterGenerator:
                 embedding_directory=folder_paths.get_folder_paths("embeddings"),
             )[:3]
 
+        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][0]
+                SDParameterGenerator.ASPECT_RATIO_MAP[aspect_ratio_value][0]
                 * SDParameterGenerator.MODEL_SCALING_FACTOR[model_version]
             )
             height = int(
-                SDParameterGenerator.ASPECT_RATIO_MAP[aspect_ratio][1]
+                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"
@@ -600,6 +700,7 @@ class SDParameterGenerator:
             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"
         )
@@ -607,7 +708,7 @@ class SDParameterGenerator:
         return {
             "ui": {
                 "text": (
-                    aspect_ratio,
+                    aspect_ratio.split(" - ")[0],
                     model_version,
                     width,
                     height,
@@ -615,6 +716,8 @@ class SDParameterGenerator:
                     refiner_start,
                     base_steps,
                     refiner_steps,
+                    SDParameterGenerator.ASPECT_RATIO_MAP,
+                    SDParameterGenerator.MODEL_SCALING_FACTOR,
                 )
             },
             "result": (
@@ -707,12 +810,81 @@ 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 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 not Path(path).is_dir():
+            return f"Invalid directory: {path}"
+        return True
+
+
 NODE_CLASS_MAPPINGS = {
     "SDPromptReader": SDPromptReader,
     "SDPromptSaver": SDPromptSaver,
     "SDParameterGenerator": SDParameterGenerator,
     "SDPromptMerger": SDPromptMerger,
     "SDTypeConverter": SDTypeConverter,
+    "SDBatchLoader": SDBatchLoader,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -721,4 +893,5 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "SDParameterGenerator": "SD Parameter Generator",
     "SDPromptMerger": "SD Prompt Merger",
     "SDTypeConverter": "SD Type Converter",
+    "SDBatchLoader": "SD Batch Loader",
 }