Change Widget to Dropdowns

__init__.py

@@ -1,12 +1,10 @@
-# comfyui-aspect-ratio-presets/__init__.py
+# __init__.py
 
 from .nodes import empty_latent_preset, empty_latent_by_axis
 
 NODE_CLASS_MAPPINGS = {
-    # Display name : Python callable
     "Empty Latent (Aspect Ratio Preset)": empty_latent_preset,
     "Empty Latent (Aspect Ratio by Axis)": empty_latent_by_axis,
 }
 
-# This is the category under which they appear in the ComfyUI UI
 NODE_DISPLAY_NAME = "ComfyUI Aspect Ratio Preset"

nodes.py

@@ -3,32 +3,49 @@
 import numpy as np
 from .presets import PRESETS
 
-def _validate_dim(v:int):
+# ─── Helpers ──────────────────────────────────────────────────────────
+
+def _validate_dim(v: int):
     if v <= 0:
         raise ValueError("Dimension must be > 0")
     if v % 8 != 0:
         raise ValueError("Dimension must be divisible by 8")
 
-# --- Node 1 -----------------------------------------------------------
+# ─── Node 1: Preset ───────────────────────────────────────────────────
+
+def empty_latent_preset(
+    preset:     str,
+    batch_size: int
+) -> np.ndarray:
+    """
+    Empty Latent (Aspect Ratio Preset)
+
+    preset:     e.g. "512x512 - 1:1 SD 1.5"
+    batch_size: how many latents to produce
+    """
+    # find matching entry
+    for model, lbl, W, H in PRESETS:
+        key = f"{W}x{H} - {lbl.split()[0]} {model}"
+        if key == preset:
+            break
+    else:
+        raise ValueError(f"Unknown preset: {preset}")
 
-def empty_latent_preset(resolution_index:int, batch_size:int) -> np.ndarray:
-    model, label, W, H = PRESETS[resolution_index]
     _validate_dim(W); _validate_dim(H)
-    return np.zeros((batch_size, 4, H//8, W//8), dtype=np.float32)
+    return np.zeros((batch_size, 4, H // 8, W // 8), dtype=np.float32)
+
 
 def _preset_input_types():
+    # Build the list of dropdown labels:
+    choices = [
+        f"{W}x{H} - {lbl.split()[0]} {model}"
+        for model, lbl, W, H in PRESETS
+    ]
     return {
         "required": {
-            "resolution_index": (
-                "INT", {
-                    "default": 0,
-                    "choices": [
-                        f"{m} {w}×{h} ({lbl})"
-                        for m,lbl,w,h in PRESETS
-                    ]
-                }
-            ),
-            "batch_size": ("INT", {"default":1, "min":1})
+            # A true dropdown of strings:
+            "preset": (choices,),
+            "batch_size": ("INT", {"default": 1, "min": 1})
         }
     }
 
@@ -36,33 +53,66 @@ empty_latent_preset.INPUT_TYPES  = _preset_input_types
 empty_latent_preset.RETURN_TYPES = ("LATENT",)
 empty_latent_preset.CATEGORY     = "ComfyUI Aspect Ratio Preset"
 
-# --- Node 2 -----------------------------------------------------------
+
+# ─── Node 2: By Axis ──────────────────────────────────────────────────
 
 ASPECT_CHOICES = [
-  ("1:1 Square",(1,1)), ("3:2 Landscape",(3,2)), ("2:3 Portrait",(2,3)),
-  # ... etc ...
+    ("1:1 Square",     (1, 1)),
+    ("3:2 Landscape",  (3, 2)),
+    ("2:3 Portrait",   (2, 3)),
+    ("4:3 Landscape",  (4, 3)),
+    ("3:4 Portrait",   (3, 4)),
+    ("16:9 Landscape", (16, 9)),
+    ("9:16 Portrait",  (9, 16)),
+    ("5:4 Landscape",  (5, 4)),
+    ("4:5 Portrait",   (4, 5)),
+    ("21:9 Widescreen",(21, 9)),
+    ("9:21 Portrait",  (9, 21)),
+    ("7:5 Landscape",  (7, 5)),
+    ("5:7 Portrait",   (5, 7)),
 ]
 
-def empty_latent_by_axis(primary_dim:int, reference:str, aspect_index:int, batch_size:int) -> np.ndarray:
-    w_ratio,h_ratio = ASPECT_CHOICES[aspect_index][1]
+def empty_latent_by_axis(
+    primary_dim:  int,
+    reference:    str,
+    aspect_ratio: str,
+    batch_size:   int
+) -> np.ndarray:
+    """
+    Empty Latent (Aspect Ratio by Axis)
+
+    primary_dim:  numeric value for Width or Height
+    reference:    "Width" or "Height"
+    aspect_ratio: e.g. "3:2 Landscape"
+    batch_size:   how many latents to produce
+    """
+    # Look up numeric ratio
+    for lbl, (wr, hr) in ASPECT_CHOICES:
+        if lbl == aspect_ratio:
+            break
+    else:
+        raise ValueError(f"Unknown aspect ratio: {aspect_ratio}")
+
     _validate_dim(primary_dim)
     if reference == "Width":
-        W,H = primary_dim, round(primary_dim * h_ratio / w_ratio)
+        W = primary_dim
+        H = round(primary_dim * hr / wr)
     else:
-        H,W = primary_dim, round(primary_dim * w_ratio / h_ratio)
+        H = primary_dim
+        W = round(primary_dim * wr / hr)
+
     _validate_dim(W); _validate_dim(H)
-    return np.zeros((batch_size, 4, H//8, W//8), dtype=np.float32)
+    return np.zeros((batch_size, 4, H // 8, W // 8), dtype=np.float32)
+
 
 def _byaxis_input_types():
     return {
         "required": {
-            "primary_dim":  ("INT",    {"default":512, "min":8}),
-            "reference":    ("STRING", {"default":"Width", "choices":["Width","Height"]}),
-            "aspect_index": ("INT",    {
-                "default":0,
-                "choices":[lbl for lbl,_ in ASPECT_CHOICES]
-            }),
-            "batch_size":   ("INT",    {"default":1, "min":1})
+            "primary_dim":  ("INT",    {"default": 512, "min": 8}),
+            # A true dropdown of strings:
+            "reference":    (["Width", "Height"],),
+            "aspect_ratio": ([lbl for lbl, _ in ASPECT_CHOICES],),
+            "batch_size":   ("INT",    {"default": 1,   "min": 1})
         }
     }
 
@@ -70,4 +120,11 @@ empty_latent_by_axis.INPUT_TYPES  = _byaxis_input_types
 empty_latent_by_axis.RETURN_TYPES = ("LATENT",)
 empty_latent_by_axis.CATEGORY     = "ComfyUI Aspect Ratio Preset"
 
-# ─── Expose for ComfyUI ────────────────────────────────────────────────
+
+# ─── Expose for ComfyUI ───────────────────────────────────────────────
+
+NODE_CLASS_MAPPINGS = {
+    "Empty Latent (Aspect Ratio Preset)":     empty_latent_preset,
+    "Empty Latent (Aspect Ratio by Axis)":    empty_latent_by_axis,
+}
+NODE_DISPLAY_NAME = "ComfyUI Aspect Ratio Preset"