fix: IPAdapterModelHelper - compatibility patch

- `insightface_model_name` is added.

__init__.py

@@ -7,7 +7,7 @@
 
 import importlib
 
-version_code = [0, 82, 7]
+version_code = [0, 84, 1]
 version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 print(f"### Loading: ComfyUI-Inspire-Pack ({version_str})")
 

inspire/list_nodes.py

@@ -18,9 +18,14 @@ class FloatRange:
     CATEGORY = "InspirePack/Util"
 
     def doit(self, start, stop, step, limit, ensure_end):
-        if start >= stop or step == 0:
+        if start == stop or step == 0:
             return ([start], )
 
+        reverse = False
+        if start > stop:
+            reverse = True
+            start, stop = stop, start
+
         res = []
         x = start
         last = x
@@ -36,6 +41,9 @@ class FloatRange:
 
             res.append(stop)
 
+        if reverse:
+            res.reverse()
+
         return (res, )
 
 

inspire/model_nodes.py

@@ -63,6 +63,9 @@ class IPAdapterModelHelper:
                 "insightface_provider": (["CPU", "CUDA", "ROCM"], ),
                 "cache_mode": (["insightface only", "clip_vision only", "all", "none"], {"default": "insightface only"}),
             },
+            "optional": {
+                "insightface_model_name": (['buffalo_l', 'antelopev2'],),
+            },
             "hidden": {"unique_id": "UNIQUE_ID"}
         }
 
@@ -72,7 +75,7 @@ class IPAdapterModelHelper:
 
     CATEGORY = "InspirePack/models"
 
-    def doit(self, model, clip, preset, lora_strength_model, lora_strength_clip, insightface_provider, cache_mode="none", unique_id=None):
+    def doit(self, model, clip, preset, lora_strength_model, lora_strength_clip, insightface_provider, cache_mode="none", unique_id=None, insightface_model_name='buffalo_l'):
         if 'IPAdapter' not in nodes.NODE_CLASS_MAPPINGS:
             utils.try_install_custom_node('https://github.com/cubiq/ComfyUI_IPAdapter_plus',
                                           "To use 'IPAdapterModelHelper' node, 'ComfyUI IPAdapter Plus' extension is required.")
@@ -157,7 +160,7 @@ class IPAdapterModelHelper:
             if cache_mode in ["insightface only", "all"]:
                 icache_key = 'insightface-' + insightface_provider
                 if icache_key not in backend_support.cache:
-                    backend_support.update_cache(icache_key, "insightface", (False, insight_face_loader(insightface_provider)[0]))
+                    backend_support.update_cache(icache_key, "insightface", (False, insight_face_loader(provider=insightface_provider, model_name=insightface_model_name)[0]))
                 _, (_, insightface) = backend_support.cache[icache_key]
             else:
                 insightface = insight_face_loader(insightface_provider)[0]

inspire/sampler_nodes.py

@@ -172,6 +172,15 @@ def logarithmic_interpolation(from_cfg, to_cfg, i, steps):
     return from_cfg + (to_cfg - from_cfg) * t
 
 
+def cosine_interpolation(from_cfg, to_cfg, i, steps):
+    if (i == 0) or (i == steps-1):
+        return from_cfg
+
+    t = (1.0 + math.cos(math.pi*2*(i/steps))) / 2
+
+    return from_cfg + (to_cfg - from_cfg) * t
+
+
 class Guider_scheduled(CFGGuider):
     def __init__(self, model_patcher, sigmas, from_cfg, to_cfg, schedule):
         super().__init__(model_patcher)
@@ -201,6 +210,8 @@ class Guider_scheduled(CFGGuider):
                 self.cfg_sigmas[k] = exponential_interpolation(self.from_cfg, self.to_cfg, i, steps), i
             elif self.schedule == 'log':
                 self.cfg_sigmas[k] = logarithmic_interpolation(self.from_cfg, self.to_cfg, i, steps), i
+            elif self.schedule == 'cos':
+                self.cfg_sigmas[k] = cosine_interpolation(self.from_cfg, self.to_cfg, i, steps), i
             else:
                 self.cfg_sigmas[k] = self.from_cfg + delta * i / steps, i
 
@@ -252,6 +263,8 @@ class Guider_PerpNeg_scheduled(Guider_PerpNeg):
                 self.cfg_sigmas[k] = exponential_interpolation(self.from_cfg, self.to_cfg, i, steps), i
             elif self.schedule == 'log':
                 self.cfg_sigmas[k] = logarithmic_interpolation(self.from_cfg, self.to_cfg, i, steps), i
+            elif self.schedule == 'cos':
+                self.cfg_sigmas[k] = cosine_interpolation(self.from_cfg, self.to_cfg, i, steps), i
             else:
                 self.cfg_sigmas[k] = self.from_cfg + delta * i / steps, i
 
@@ -283,7 +296,7 @@ class ScheduledCFGGuider:
                     "sigmas": ("SIGMAS", ),
                     "from_cfg": ("FLOAT", {"default": 6.5, "min": 0.0, "max": 100.0, "step": 0.1, "round": 0.01}),
                     "to_cfg": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.1, "round": 0.01}),
-                    "schedule": (["linear", "log", "exp"], {'default': 'log'})
+                    "schedule": (["linear", "log", "exp", "cos"], {'default': 'log'})
                     }
                 }
 
@@ -310,7 +323,7 @@ class ScheduledPerpNegCFGGuider:
                     "sigmas": ("SIGMAS", ),
                     "from_cfg": ("FLOAT", {"default": 6.5, "min": 0.0, "max": 100.0, "step": 0.1, "round": 0.01}),
                     "to_cfg": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.1, "round": 0.01}),
-                    "schedule": (["linear", "log", "exp"], {'default': 'log'})
+                    "schedule": (["linear", "log", "exp", "cos"], {'default': 'log'})
                     }
                 }
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-inspire-pack"
 description = "This extension provides various nodes to support Lora Block Weight and the Impact Pack. Provides many easily applicable regional features and applications for Variation Seed."
-version = "0.82.7"
+version = "0.84.1"
 license = { file = "LICENSE" }
 dependencies = ["matplotlib", "cachetools"]