Introduce diffusion-inpaint restoration engine in HVideoTool: added support for a new restoration method that regenerates masked regions via an external SwarmUI server, requiring YOLO detections for mask creation. Updated configuration management to include diffusion parameters, enhanced the UI for engine selection, and improved documentation in README and CLAUDE.md to guide users on the new functionality.

hvideotool/config.py

@@ -75,3 +75,19 @@ class AppConfig:
     # (instead of the original mosaic frames) for stronger temporal coherence. Slightly
     # out-of-distribution for the net (trained on mosaic windows) — toggle in the dialog.
     dm_feed_restored: bool = True
+
+    # --- diffusion-inpaint restoration ("diffusion" restorer) ---
+    # Regenerates the masked (detected) regions via an external diffusion server. Needs
+    # YOLO detections for the mask; the model runs out-of-process (no torch dep here).
+    # The backend is pluggable; only SwarmUI is wired so far.
+    diff_backend: str = "swarmui"                 # only "swarmui" implemented
+    diff_url: str = "http://localhost:7801"       # SwarmUI server base URL
+    diff_model: str | None = None                 # checkpoint name as the server knows it
+    diff_prompt: str = ""
+    diff_negative: str = ""
+    diff_steps: int = 30
+    diff_cfg: float = 7.0
+    diff_denoise: float = 1.0                      # 0..1, 1 = fully regenerate under the mask
+    diff_seed: int = -1                            # -1 = random each call
+    diff_mask_dilate: int = 4                      # px to grow the mask before inpaint
+    diff_mask_blur: int = 8                        # px feather of the mask edge