docs+bump: README — add Florence2 Hi-Res Fix section + v1.21.0 -> v1.22.0

Author: JasonHoku

README.md

@@ -197,7 +197,8 @@ If you'd rather build the graph yourself:
 
 ### 🔍 Upscaling & Post-Processing
 * **Array-Based Upscaling:** Define multiple upscale configurations, each with its own mode, models, ratios, and denoise values. All combinations are expanded via Cartesian product — test 3 upscale models × 2 ratios × 2 denoise values = 12 upscaled variants per source image.
-* **Three Upscaling Modes:** `hires_only` (latent upscale + re-denoise), `model_only` (upscale model like RealESRGAN), or `model_then_hires` (upscale model followed by hires denoise pass).
+* **Five Upscaling Modes:** `hires_only` (latent upscale + re-denoise), `model_only` (upscale model like RealESRGAN), `model_then_hires` (upscale model followed by hires denoise pass), `seedvr2` (SeedVR2 diffusion-based upscaler), and `florence2_hires` (Florence2-driven targeted hi-res fix — see below).
+* **Florence2 Hi-Res Fix:** Targeted region inpaint using [kijai/ComfyUI-Florence2](https://github.com/kijai/ComfyUI-Florence2)'s referring-expression segmentation. Type what you want fixed (`face`, `hands`, `eyes`, `clothing`) as a free-text input; Florence2 detects the polygon, USCG crops to that region, runs a megapixel-scaled hi-res inpaint pass with your chosen denoise/sampler/steps, and pastes the result back with feathered blending. Pick model/LoRA from each image's original manifest entry or use the Builder's currently-loaded one. Grid-test face fixes the same way you grid-test base configs — combine with other upscale steps in one pipeline for a base-hi-res → face-fix chain. Requires the `ComfyUI-Florence2` custom node (auto-detected at job start with a clear install hint if missing).
 * **Upscale Model Discovery:** Automatically detects installed upscale models from ComfyUI's `upscale_models` folder with a searchable dropdown in the Config Builder.
 * **Tiled VAE Support:** Enable tiled VAE decoding for upscaled images to handle large resolutions without running out of VRAM.
 * **Only Final Output Saved:** When upscaling is enabled, only the upscaled version is saved — the intermediate base image is automatically skipped, keeping your session clean.
@@ -1502,7 +1503,7 @@ After modifying backend Python files, restart ComfyUI. After modifying `web/` JS
 ## 📝 Changelog
 
 ### Update 3/9/26 — Upscaling, Workflow Packing & Config Builder Enhancements
-* 🔍 **Array-Based Upscaling System:** Define multiple upscale configs with Cartesian expansion across models, ratios, and denoise values. Three modes: hires_only, model_only, model_then_hires.
+* 🔍 **Array-Based Upscaling System:** Define multiple upscale configs with Cartesian expansion across models, ratios, and denoise values. Five modes: hires_only, model_only, model_then_hires, seedvr2, and florence2_hires (targeted region inpaint via Florence2 segmentation — needs ComfyUI-Florence2).
 * 🖼️ **Upscale Model Discovery:** Auto-detects installed upscale models (RealESRGAN, etc.) from ComfyUI's folder system with searchable dropdown.
 * 📦 **Pack Full Workflow into Exports:** Embed the entire ComfyUI graph into exported favorite images as PNG metadata — drag back into ComfyUI to restore.
 * 🔧 **Pack Config as Nodes Workflow:** Generate per-image pure-nodes workflows matching each image's exact generation parameters.

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "ultimate-auto-sampler-config-grid-testing-suite"
 description = "Test Everything All In One Run!!! Testing & benchmarking tool for samplers, schedulers, CFG scales, multiple prompts, img2img denoise values, Models, Weights, LoRA  and more!  Features infinite-canvas dashboard image grids with virtual scrolling that can handle thousands of images! Smart caching, powerful sorting, filters, favoriting, reviewing, automatic resume on interrupt, and real-time visualization. Test entire checkpoint folders, stack multiple LoRAs, generate random seed variations, and export optimized configs, save sessions. Includes powerful UI for building AIO comparison runs, fullscreen mode, keyboard navigation, smart filtering by parameters, civitai model data info, and one-click regeneration workflow, and SO MUCH MORE. Perfect for sampler output optimization and parameter tuning."
-version = "1.21.0"
+version = "1.22.0"
 license = {file = "LICENSE"} 
 classifiers = [
 #     # For OS-independent nodes (works on all operating systems)