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@@ -114,3 +114,35 @@ These tools are meant for exploration and intuition, not absolute ground-truth j
- https://github.com/daredevilstudio/AI-upscaling-models/releases/download/PureVision/2x_PureVision.pth
- image compare node:
- https://github.com/quasiblob/ComfyUI-EsesImageCompare
## ⚙️ Node Options
![Node Example](Screenshot_node.png)
The **Multi-Analysis Heatmap Node** provides several options to control how comparisons are made:
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| **align_mode** | combo | `resize_b_to_a` | How to align the two input images: <br>• `resize_b_to_a` → resizes B to match A <br>• `center_crop_to_min` → crops both to the smaller overlap <br>• `pad_to_max` → pads smaller one with black pixels |
| **color_map** | combo | `jet` | The color scheme for heatmaps: <br>• `jet` → rainbow style (bright = more difference) <br>• `grayscale` → black–white map |
| **invert_ssim** | bool | `true` | Flip SSIM visualization so differences appear **bright** instead of dark. |
| **ms_scales** | int | `3` | Number of scales for **MS-SSIM**. Higher = more robust but slower. |
| **resid_gain** | float | `2.0` | Strength multiplier for the **Residual Visualization**. Higher = amplifies added/removed details more strongly. |
| **fft_log_eps** | float | `1e-3` | Stabilization constant for FFT log spectrum. Adjust only if you see black/overblown spectra. |
| **enable_lpips** | bool | `false` | Whether to compute the **LPIPS perceptual heatmap** (uses VGG16 features, slower, more VRAM). |
| **denoise_sigma** | float | `1.0` | Standard deviation for Gaussian blur in **Denoiser Residual**. Controls how aggressively “noise” is extracted. |
| **denoise_gain** | float | `2.0` | Amplification factor for the residual visualization in **Denoiser Residual**. |
| **roundtrip_scale** | float | `0.5` | Downscale factor for **Round-Trip Stability** test. (0.5 = downscale by 2×, then upscale again). |
| **roundtrip_kernel** | combo | `bicubic` | Resampling kernel for round-trip test. Options: `bicubic`, `bilinear`, `lanczos`. |
---
👉 **Tip:**
- Start with defaults.
- Enable `LPIPS` only if you want human-perception-like feedback.
- Use `invert_ssim = true` for easier visual spotting (bright = problem).
- Play with `resid_gain` and `denoise_gain` if maps look too weak/too strong.