Merge pull request #122 from Kosinkadink/develop

Add automatic workaround for outdated Steerable-Motion workflow issue

adv_control/control_sparsectrl.py

@@ -196,6 +196,11 @@ class SparseContextAware:
 class SparseSettings:
     def __init__(self, sparse_method: 'SparseMethod', use_motion: bool=True, motion_strength=1.0, motion_scale=1.0, merged=False,
                  sparse_mask_mult=1.0, sparse_hint_mult=1.0, sparse_nonhint_mult=1.0, context_aware=SparseContextAware.NEAREST_HINT):
+        # account for Steerable-Motion workflow incompatibility;
+        # doing this to for my own peace of mind (not an issue with my code)
+        if type(sparse_method) == str:
+            logger.warn("Outdated Steerable-Motion workflow detected; attempting to auto-convert indexes input. If you experience an error here, consult Steerable-Motion github, NOT Advanced-ControlNet.")
+            sparse_method = SparseIndexMethod(get_idx_list_from_str(sparse_method))
         self.sparse_method = sparse_method
         self.use_motion = use_motion
         self.motion_strength = motion_strength
@@ -356,6 +361,25 @@ def _get_indexes(self, hint_length: int, full_length: int) -> list[int]:
         return new_idxs  
 
 
+def get_idx_list_from_str(indexes: str) -> list[int]:
+    idxs = []
+    unique_idxs = set()
+    # get indeces from string
+    str_idxs = [x.strip() for x in indexes.strip().split(",")]
+    for str_idx in str_idxs:
+        try:
+            idx = int(str_idx)
+            if idx in unique_idxs:
+                raise ValueError(f"'{idx}' is duplicated; indexes must be unique.")
+            idxs.append(idx)
+            unique_idxs.add(idx)
+        except ValueError:
+            raise ValueError(f"'{str_idx}' is not a valid integer index.")
+    if len(idxs) == 0:
+        raise ValueError(f"No indexes were listed in Sparse Index Method.")
+    return idxs
+
+
 #########################################
 # motion-related portion of controlnet
 class BlockType:

adv_control/nodes_sparsectrl.py

@@ -6,7 +6,7 @@
 from comfy.sd import VAE
 
 from .utils import TimestepKeyframeGroup
-from .control_sparsectrl import SparseMethod, SparseIndexMethod, SparseSettings, SparseSpreadMethod, PreprocSparseRGBWrapper, SparseConst, SparseContextAware
+from .control_sparsectrl import SparseMethod, SparseIndexMethod, SparseSettings, SparseSpreadMethod, PreprocSparseRGBWrapper, SparseConst, SparseContextAware, get_idx_list_from_str
 from .control import load_sparsectrl, load_controlnet, ControlNetAdvanced, SparseCtrlAdvanced
 
 
@@ -103,21 +103,7 @@ def INPUT_TYPES(s):
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/SparseCtrl"
 
     def get_method(self, indexes: str):
-        idxs = []
-        unique_idxs = set()
-        # get indeces from string
-        str_idxs = [x.strip() for x in indexes.strip().split(",")]
-        for str_idx in str_idxs:
-            try:
-                idx = int(str_idx)
-                if idx in unique_idxs:
-                    raise ValueError(f"'{idx}' is duplicated; indexes must be unique.")
-                idxs.append(idx)
-                unique_idxs.add(idx)
-            except ValueError:
-                raise ValueError(f"'{str_idx}' is not a valid integer index.")
-        if len(idxs) == 0:
-            raise ValueError(f"No indexes were listed in Sparse Index Method.")
+        idxs = get_idx_list_from_str(indexes)
         return (SparseIndexMethod(idxs),)
 
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-advanced-controlnet"
 description = "Nodes for scheduling ControlNet strength across timesteps and batched latents, as well as applying custom weights and attention masks."
-version = "1.0.4"
+version = "1.0.5"
 license = "LICENSE"
 dependencies = []