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skill/RIFE.md

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+# RIFE 4.26 on Windows 11 — Command-Line Installation Guide
+
+There are two pieces you need: the **binary** (the `rife-ncnn-vulkan` executable) and the **model** (rife-v4.26 weights). The upstream nihui release is stuck at models up to v4.6, so you'll use **TNTwise's fork**, which maintains up-to-date model support including v4.26.
+
+---
+
+## Step 1 — Download the Binary
+
+The actively maintained fork for newer models is TNTwise's `rife-ncnn-vulkan` at [https://github.com/TNTwise/rife-ncnn-vulkan](https://github.com/TNTwise/rife-ncnn-vulkan).
+
+1. Go to: [https://github.com/TNTwise/rife-ncnn-vulkan/releases](https://github.com/TNTwise/rife-ncnn-vulkan/releases)
+2. Download the latest Windows zip, e.g. `rife-ncnn-vulkan-YYYYMMDD-windows.zip`
+3. Extract it to a folder, e.g. `C:\tools\rife-ncnn-vulkan\`
+
+The package includes all binaries and models required — it is portable, so no CUDA or PyTorch runtime environment is needed.
+
+---
+
+## Step 2 — Add to PATH
+
+To run `rife-ncnn-vulkan.exe` from any directory (instead of always `cd`-ing into the install folder), add the extraction folder to your system **PATH**:
+
+```text
+C:\tools\rife-ncnn-vulkan\
+```
+
+You must also define the environment variable **RIFE_HOME** and set it to the same folder:
+
+```text
+RIFE_HOME=C:\tools\rife-ncnn-vulkan\
+```
+
+> **Note:** `RIFE_HOME` must point to the same directory that is added to PATH. RIFE locates its model files via the `-m` command-line flag, not through environment variables, but `RIFE_HOME` is still required.
+
+---
+
+## Step 3 — Basic Usage (Interpolate Between Two Images)
+
+To interpolate between two images and produce a middle frame:
+
+```cmd
+rife-ncnn-vulkan.exe -0 frame0.png -1 frame1.png -o middle.png -m %RIFE_HOME%\rife-v4.26
+```
+
+To process a whole directory of frames:
+
+```cmd
+rife-ncnn-vulkan.exe -i input_frames\ -o output_frames\ -m %RIFE_HOME%\rife-v4.26
+```
+
+---
+
+## Full CLI Reference
+
+Key flags:
+
+| Flag | Meaning |
+| ------ | --------- |
+| `-0 <path>` | First input image (jpg/png/webp) |
+| `-1 <path>` | Second input image |
+| `-o <path>` | Output image or directory |
+| `-m <path>` | Model path (point to your `rife-v4.26` folder) |
+| `-g <id>` | GPU device: `0`, `1`, `2` for GPU, **`-1` for CPU** |
+| `-j <n:n:n>` | Thread counts for load:proc:save |
+| `-n <count>` | Number of frames to generate between the two inputs (default: 1) |
+| `-v` | Verbose output |
+
+---
+
+## Running Without a GPU (CPU Mode)
+
+You can run on CPU by setting `-g -1`.
+
+```cmd
+rife-ncnn-vulkan.exe -0 frame0.png -1 frame1.png -o middle.png -m %RIFE_HOME%\rife-v4.26 -g -1
+```
+
+You can also run on CPU, discrete GPU, and integrated GPU simultaneously:
+
+```cmd
+rife-ncnn-vulkan.exe -i input_frames\ -o output_frames\ -g -1,-1,0,1 -j 2:4,4,2,1:4
+```
+
+**Important caveat:** CPU mode works but is significantly slower — expect 10–30× slower processing compared to even an integrated GPU. For a single pair of 1080p frames it's tolerable; for video interpolation it will be very slow.
+
+---
+
+## Quick Test Checklist
+
+```cmd
+# Verify the binary runs
+rife-ncnn-vulkan.exe -h
+
+# Single frame interpolation test (CPU, no GPU needed)
+rife-ncnn-vulkan.exe -0 A.png -1 B.png -o middle.png -m %RIFE_HOME%\rife-v4.26 -g -1 -v
+```
+
+If you get a Vulkan error with GPU mode, make sure your GPU drivers are up to date. CPU mode (`-g -1`) requires no Vulkan device at all.