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-# ComfyUI-Metadata-Inspector
+# ComfyUI-StepByStep-Sampler
-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).
+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.
-[](https://github.com/TakkunRed/ComfyUI-Metadata-Inspector/blob/main/LICENSE)
+[](https://github.com/TakkunRed/ComfyUI-StepByStep-Sampler/blob/main/LICENSE)
[](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 Descriptions
+## Node description
-This extension includes three essential nodes to complete the inspection workflow:
+### 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.
-### 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. 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.
+### 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.
-### 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.
+
-## 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.
+### 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.
+
+
## Installation
-
-### Manual Install
-```bash
+Manual Install
+```
+Bash
cd ComfyUI/custom_nodes
-git clone https://github.com/TakkunRed/ComfyUI-Metadata-Inspector.git
+git clone https://github.com/TakkunRed/ComfyUI-StepByStep-Sampler.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.
-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.
+### 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
## License
-MIT
+MIT
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