From 03ca33cb78788aa9a62874ebde6ae1cf4bb8d176 Mon Sep 17 00:00:00 2001
From: dreevelle <123705989+dreevelle@users.noreply.github.com>
Date: Sun, 13 Sep 2026 00:36:42 +0100
Subject: [PATCH] feat: extend the preset list down to 0.15 MP
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The floor sat at 0.25 MP, so 16:9's cheapest entry was 768x432 — and that
one is K2-only (432 % 32 = 16), leaving 1024x576 as the smallest H3-legal
16:9 in the list. An audio-only H3 render wants 512x288, the n=1 lattice
point at alignment 32, where the video canvas is pure overhead.

Dropping PRESET_MIN_MP alone re-picks the geometric thinning and silently
drops labels — 3:2 1152x768 and 1920x1280 among them — which breaks saved
workflows, since the label string is what a graph stores. Raising
PRESET_MAX_ENTRIES to 11 in the same step absorbs that: 79 -> 87 entries
with every existing label still present and still pointing at the same
size. The six entries beyond 512x288 / 288x512 are lattice points the old
9-entry cap had been skipping over.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K1sGVWw5KU3GD7CrhdZR7M
---
 README.md      |  6 +++++-
 __init__.py    | 11 +++++++----
 pyproject.toml |  2 +-
 3 files changed, 13 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index f1d2d69..9ece089 100644
--- a/README.md
+++ b/README.md
@@ -390,7 +390,7 @@ the useful rows are all still there (1024×576, 1536×864, 2048×1152, 2560×144
 
 ### Resolution Preset
 
-One combo of 79 known-good resolutions. Every entry is exactly on its aspect ratio and
+One combo of 87 known-good resolutions. Every entry is exactly on its aspect ratio and
 on the patch grid, so there is nothing to compute and nothing to look up.
 
 **Inputs** — `preset`, formatted `ratio · width × height · real MP · compatible models`.
@@ -412,6 +412,10 @@ entries, and the coarse grid lands them on canonical sizes — 512, 768, 1024, 1
 — instead. Coarse-lattice ratios like 16:9 fall through to grid 16 and keep their full
 useful set.
 
+The list spans 0.15 to 4.3 MP. The bottom end is there for runs where the canvas is
+overhead rather than output — an audio-only MiniMax H3 render, say, where `16:9 · 512 ×
+288` is the smallest exact 16:9 the model's 32 px grid admits.
+
 Why a list and not a number: with `exact_ratio` on, the valid outputs *are* a discrete
 lattice. A continuous megapixel input advertises precision that does not exist, and
 pushes the lookup table out of the node and into your head (or a sticky note next to
diff --git a/__init__.py b/__init__.py
index 010bd6b..7f5a9cf 100644
--- a/__init__.py
+++ b/__init__.py
@@ -55,7 +55,7 @@ from typing_extensions import override
 
 from comfy_api.latest import ComfyExtension, IO
 
-__version__ = "1.1.1"
+__version__ = "1.2.0"
 
 
 # ---------------------------------------------------------------------------
@@ -157,10 +157,13 @@ def align_value(value: int, alignment: int, mode: str) -> int:
 # presets are the lattice, rendered readable -- derived at import time, never
 # hand-maintained, so they cannot drift from what the solver produces.
 # ---------------------------------------------------------------------------
-PRESET_MIN_MP = 0.25
+# The floor sits just under 512x288 (0.147 MP), the n=1 lattice point for 16:9
+# at alignment 32 -- the smallest exact 16:9 an H3 graph can ask for. Useful for
+# audio-only H3 runs, where the video canvas is pure overhead.
+PRESET_MIN_MP = 0.14
 PRESET_MAX_MP = 4.3
-PRESET_MIN_ENTRIES = 6   # coarsest grid that still offers this many sizes wins
-PRESET_MAX_ENTRIES = 9   # thin geometrically beyond this, keeping both ends
+PRESET_MIN_ENTRIES = 6    # coarsest grid that still offers this many sizes wins
+PRESET_MAX_ENTRIES = 11   # thin geometrically beyond this, keeping both ends
 
 # 16:9 and 9:16 lead: the common case for video and for delivery to a screen.
 PRESET_RATIO_ORDER = [
diff --git a/pyproject.toml b/pyproject.toml
index 3947b08..f6fa69f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-resolution-tools"
 description = "Resolution maths for latent-space models, done exactly. Real megapixels (10^6, not 1024^2), patch-grid alignment for Krea 2 / MiniMax H3 / Flux / SDXL, and aspect ratios held exact instead of drifting on rounding."
-version = "1.1.1"
+version = "1.2.0"
 license = { file = "LICENSE" }
 readme = "README.md"
 requires-python = ">=3.10"