From 32f284d237e38c09142be1cb98c4338648ca7ac7 Mon Sep 17 00:00:00 2001 From: Takkun <123180660+TakkunRed@users.noreply.github.com> Date: Sat, 25 Apr 2026 01:49:25 +0900 Subject: [PATCH] Add files via upload --- README.md | 81 +++++++++++++++++++++++-------------------------------- 1 file changed, 34 insertions(+), 47 deletions(-) diff --git a/README.md b/README.md index de8ef89..d81f999 100644 --- a/README.md +++ b/README.md @@ -1,66 +1,53 @@ -# ComfyUI-StepByStep-Sampler +# ComfyUI-Metadata-Inspector -A set of custom nodes for ComfyUI designed to analyze and compare the image generation process step-by-step. It quantifies changes in latent variables (using metrics like PSNR/SSIM) and provides a dedicated viewer for intuitive inspection. Furthermore, since sampling automatically stops once image generation converges, image generation can be performed with the optimal number of steps. +A specialized suite of custom nodes for ComfyUI designed to hunt down and visualize generation parameters (prompts, steps, samplers, etc.) embedded in AI-generated images. It works across different formats and platforms (ComfyUI, Automatic1111, Civitai, and more). -[![GitHub license](https://img.shields.io/github.com/TakkunRed/ComfyUI-StepByStep-Sampler)](https://github.com/TakkunRed/ComfyUI-StepByStep-Sampler/blob/main/LICENSE) +[![GitHub license](https://img.shields.io/github/license/TakkunRed/ComfyUI-Metadata-Inspector)](https://github.com/TakkunRed/ComfyUI-Metadata-Inspector/blob/main/LICENSE) [![ComfyUI](https://img.shields.io/badge/ComfyUI-Custom_Nodes-blue)](https://github.com/comfyanonymous/ComfyUI) +## Core Mission +The primary goal of this tool is to **reveal hidden prompt strings and workflow structures** from AI-generated content. Whether it's a PNG with a complex node graph or a JPEG with a text-based prompt hidden in EXIF data, this inspector brings it to light. + ![Node Screenshot](images/workflow_image.png) -## Node description +## Node Descriptions -### 1. Step-by-Step Sampler -Hooks into the generation process to capture intermediate images at specified intervals by VAE encoding the latent state. It can be integrated with `Preview Image` or `Save Image` nodes to display or output the progression as a sequence. -Calculates the amount of change from the previous step using MSE, RMSE, L1, PSNR, or SSIM, allowing you to monitor convergence numerically. -Draws step counts and difference values directly onto the images, making it easy to track the step number and the delta from the preceding frame. -Since sampling automatically stops once image generation converges, image generation can be performed with the optimal number of steps. -Outputs the final result as a standard `LATENT` (similar to KSampler), but can also output the VAE-encoded image via the `LAST_IMAGE` socket. +This extension includes three essential nodes to complete the inspection workflow: - +### 1. Load Image w/ Name +- **Purpose**: Provides a flexible way to load images. +- **Function**: Unlike the standard loader, it allows you to input a filename via string or absolute path, making it easier to integrate with dynamic file-handling workflows. -### 2. Step-by-Step Player -Visualizes the image list output from the `STEP_IMAGES` socket of the `Step-by-Step Sampler`. Use the slider or the Play button to view the generation process as an animation. +### 2. Extract Metadata (The Core) +- **Purpose**: The "brain" that scans the image file for generation data. +- **Function**: + - **PNG Deep Scan**: Extracts full ComfyUI/A1111 prompt and workflow JSONs. + - **JPEG/EXIF Recovery**: Deep-scans EXIF sub-IFDs to find hidden `UserComment` and `ImageDescription` tags often used by Civitai and Tensor.art. + - **Smart JSON Recovery**: Detects JSON structures even when they are buried inside plain-text metadata. - +### 3. JSON Tree Viewer (Web UI) +- **Purpose**: Provides a human-readable visualization of the raw data. +- **Function**: Transforms the raw metadata string into an interactive, foldable tree view directly on the ComfyUI canvas. It highlights potential prompt areas in orange for quick identification. -### 3. Step-by-Step Comparer -A side-by-side visualization tool for the `STEP_IMAGES` output. It allows you to compare two different steps (e.g., Step 5 vs. Step 20) using an interactive split-screen slider. - - +## Key Features +- **Hidden Prompt Extraction**: Recovers data from JPEGs where standard tools fail. +- **Workflow Reconstruction Support**: Outputs raw JSON strings that can be used to understand complex node setups. +- **Multi-Platform Compatibility**: Supports metadata formats from ComfyUI, Automatic1111, and various web-based generators. ## Installation -Manual Install -``` -Bash + +### Manual Install +```bash cd ComfyUI/custom_nodes -git clone https://github.com/TakkunRed/ComfyUI-StepByStep-Sampler.git +git clone https://github.com/TakkunRed/ComfyUI-Metadata-Inspector.git ``` + ## How to Use -### Workflow Integration -* Add the Step-by-Step Sampler node. -* Connect `model`, `positive`, `negative`, `latent_image`, and `vae` to the respective inputs. -* Connect the `STEP_IMAGES` output to the `StepStepPlayer` or `StepStepComparer` node. You can also connect it to `Preview Image` or `Save Image`. -* Turning on `auto_stop` will stop sampling based on the `stop_threshold`. -* Run Queue Prompt as usual, and the generation process will appear in the viewers. -### Viewer Controls -* `Player`: Change steps using the bottom slider or use the "Play" button for auto-playback. -* `Comparer`: Select two steps to compare using the sliders, and drag the vertical bar on the image to reveal the differences between side A and side B. - -### Step-by-Step Sampler Settings -* `save_interval`: Determines how often images are saved (e.g., set to 1 to capture every step). -* `show_overlay`: Toggles the on-image display of step numbers and difference metrics. -* `diff_method`: Selects the algorithm for calculating step-to-step changes: - * Metric Characteristics (at convergence): - ``` - MSE → 0 (Emphasizes large changes) - RMSE → 0 (MSE scaled back to L1 range) - L1 → 0 (Simple, robust against outliers) - PSNR → ∞ (Higher dB means closer to previous step; 40dB+ is a typical convergence target) - SSIM → 1.0 (Structural Similarity Index; 0.99+ is a typical convergence target) - ``` -* `auto_stop`: Enable/Disable automatic convergence stop -* `stop_threshhold`: Threshold for determining convergence +1. Place Load Image w/ Name. +2. Connect it to Extract Metadata. +3. Connect the metadata_json output to JSON Tree Viewer. +4. Input your image path and run the queue to see the hidden prompt data. ## License -MIT \ No newline at end of file +MIT