Added VAE, Embedding + Combiner nodes, Added LyCoris in the options for lora, Fixed AIR Code from CivitAI, Automatically add trigger words for lora and embeddings, Added More workflows and fixed some typos in readme file

2024-12-18 01:04:13 +02:00
parent 6bf9d37204
commit 5472ad876e
20 changed files with 362 additions and 26 deletions
@@ -0,0 +1,66 @@
+class embeddingSearch:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "Embedding Search": ("STRING", {
+                    "tooltip": "Searchg For A Specific Embedding By Name Or Civit AIR Code (eg: EasyNegative).",
+                }),
+                "Model Architecture": ([
+                        "All",
+                        "FLUX.1-Schnell",
+                        "FLUX.1-Dev",
+                        "Pony",
+                        "SD 1.5",
+                        "SD 1.5 Hyper",
+                        "SD 1.5 LCM",
+                        "SD 3",
+                        "SDXL 1.0",
+                        "SDXL 1.0 LCM",
+                        "SDXL Distilled",
+                        "SDXL Hyper",
+                        "SDXL Lightning",
+                        "SDXL Turbo",
+                    ], {
+                    "tooltip": "Choose Embedding Model Architecture To Filter Out The Results.",
+                    "default": "SD 1.5",
+                }),
+                "EmbeddingList": ([
+                        "civitai:7808@9208 (EasyNegative)",
+                        "civitai:4629@5637 (Deep Negative V1.x)",
+                        "civitai:56519@60938 (negative_hand Negative Embedding)",
+                        "civitai:72437@77169 (BadDream + UnrealisticDream (Negative Embeddings))",
+                        "civitai:11772@25820 (veryBadImageNegative)",
+                        "civitai:71961@94057 (Fast Negative Embedding (+ FastNegativeV2))",
+                    ], {
+                    "tooltip": "Embedding Results Will Show UP Here So You Could Choose From.",
+                    "default": "civitai:7808@9208 (EasyNegative)",
+                }),
+                "weight": ("FLOAT", {
+                    "tooltip": "Defines the strength or influence of the Embedding on the generation process.",
+                    "default": 1.0,
+                    "min": 0,
+                    "max": 1,
+                    "step": 0.1,
+                }),
+            },
+        }
+
+    DESCRIPTION = "Directly Search and Connect Embeddings to Runware Inference Nodes In ComfyUI."
+    FUNCTION = "embeddingSearch"
+    RETURN_TYPES = ("RUNWAREEMBEDDING",)
+    RETURN_NAMES = ("Runware Embedding",)
+    CATEGORY = "Runware"
+
+    @classmethod
+    def VALIDATE_INPUTS(cls, EmbeddingList):
+        return True
+
+    def embeddingSearch(self, **kwargs):
+        currentModel = kwargs.get("EmbeddingList")
+        embeddingWeight = kwargs.get("weight")
+        embeddingAIRCode = currentModel.split(" ")[0]
+        return ({
+            "model": embeddingAIRCode,
+            "weight": round(embeddingWeight, 2),
+        },)