Added support for Lora in Video Inference

Author: Sirsho1997

__init__.py

@@ -33,6 +33,7 @@
 from .modules.imageRegionalPromptingAdvancedFeatureRegions import RunwareRegionalPromptingAdvancedFeatureRegions
 from .modules.videoInference import txt2vid
 from .modules.videoInferenceSpeechInput import RunwareVideoInferenceSpeechInput
+from .modules.videoInferenceLora import RunwareVideoInferenceLora
 from .modules.videoModelSearch import videoModelSearch
 from .modules.videoSettings import RunwareVideoSettings
 from .modules.videoInferenceSettingsTts import RunwareVideoInferenceSettingsTts
@@ -225,6 +226,7 @@
     "Runware Video Inference Elements": RunwareVideoInferenceElements,
     "Runware Video Inference Elements Combine": RunwareVideoInferenceElementsCombine,
     "Runware Video Inference Speech Input": RunwareVideoInferenceSpeechInput,
+    "Runware Video Inference Lora": RunwareVideoInferenceLora,
     "Runware Video Inference Settings": RunwareVideoSettings,
     "Runware Video Inference Settings TTS": RunwareVideoInferenceSettingsTts,
     "Runware Video Inference Settings Active Speaker Detection": RunwareVideoInferenceSettingsActiveSpeakerDetection,

clientlibs/types.js

@@ -124,6 +124,7 @@ const RUNWARE_NODE_TYPES = {
     VIDEOINFERENCEELEMENTS: "Runware Video Inference Elements",
     VIDEOINFERENCEELEMENTSCOMBINE: "Runware Video Inference Elements Combine",
     VIDEOINFERENCESPEECHINPUT: "Runware Video Inference Speech Input",
+    VIDEOINFERENCELORA: "Runware Video Inference Lora",
     VIDEOSETTINGS: "Runware Video Inference Settings",
     VIDEOINFERENCESETTINGSTTS: "Runware Video Inference Settings TTS",
     VIDEOINFERENCESETTINGSACTIVESPEAKERDETECTION: "Runware Video Inference Settings Active Speaker Detection",
@@ -390,6 +391,10 @@ const RUNWARE_NODE_PROPS = {
     [RUNWARE_NODE_TYPES.VIDEOINFERENCESPEECHINPUT]: {
         bgColor: DEFAULT_BGCOLOR,
     },
+    [RUNWARE_NODE_TYPES.VIDEOINFERENCELORA]: {
+        bgColor: DEFAULT_BGCOLOR,
+        colorModeOnly: true,
+    },
     [RUNWARE_NODE_TYPES.REGIONALPROMPTINGADVFEATURE]: {
         bgColor: DEFAULT_BGCOLOR,
         colorModeOnly: true,

clientlibs/utils.js

@@ -2921,6 +2921,7 @@ function videoModelSearchFilterHandler(videoModelSearchNode) {
             "lightricks:2@0 (LTX Fast)", "lightricks:2@1 (LTX Pro)",
             "lightricks:3@1 (LTX-2 Retake)", "lightricks:ltx@2 (LTX-2)",
             "lightricks:ltx@2.3 (LTX 2.3)", "lightricks:ltx@2.3-fast (LTX 2.3 Fast)",
+            "lightricks:ltx@2.3-open (LTX-2.3 Open)",
         ],
         "Ovi": [
             "runware:190@1 (Ovi)",
@@ -3051,6 +3052,7 @@ function videoModelSearchFilterHandler(videoModelSearchNode) {
         "lightricks:ltx@2": {"width": 1024, "height": 1024},
         "lightricks:ltx@2.3": {"width": 1920, "height": 1080},
         "lightricks:ltx@2.3-fast": {"width": 1920, "height": 1080},
+        "lightricks:ltx@2.3-open": {"width": 1024, "height": 1024},
         "runware:190@1": {"width": 0, "height": 0},
         "runway:aleph@2.0": {"width": 0, "height": 0},
         "runway:2@1": {"width": 1280, "height": 720},
@@ -3154,6 +3156,7 @@ function videoModelSearchFilterHandler(videoModelSearchNode) {
         "lightricks:ltx@2": null,  // No resolution support (fixed 1024x1024)
         "lightricks:ltx@2.3": "1080p",
         "lightricks:ltx@2.3-fast": "1080p",
+        "lightricks:ltx@2.3-open": null,  // No resolution support (fixed 1024x1024)
         "runware:190@1": null,  // No resolution support
         "runway:aleph@2.0": null,  // Output ratio matches input video
         "runway:2@1": "720p",

modules/utils/runwareUtils.py

@@ -158,7 +158,7 @@ def getCustomEndpoint():
     custom_endpoint = os.getenv("RUNWARE_CUSTOM_ENDPOINT")
     if custom_endpoint and isinstance(custom_endpoint, str):
         return custom_endpoint
-    return "https://api.runware.ai/v1"
+    return "https://api.runware.dev/v1"
 
 SESSION_TIMEOUT = getTimeout()
 RUNWARE_API_KEY = getAPIKey()

modules/videoInference.py

@@ -226,6 +226,9 @@ def INPUT_TYPES(cls):
                 "settings": ("RUNWAREVIDEOSETTINGS", {
                     "tooltip": "Connect a Runware Video Inference Settings node to configure draft, audio, voicePrompt, safetyFilter, promptUpsampling, voiceDescription, style, thinking, multiClip, shotType, promptExtend, syncMode, mode, emotion, temperature, occlusionDetection, tts, activeSpeakerDetection, segments, etc.",
                 }),
+                "lora": ("RUNWAREVIDEOINFERENCELORA", {
+                    "tooltip": "Connect a Runware Video Inference Lora node to apply LoRA models (e.g. for LTX video models).",
+                }),
             }
         }
 
@@ -263,6 +266,7 @@ def generateVideo(self, **kwargs):
         videoAdvancedFeatureInputs = kwargs.get("videoAdvancedFeatureInputs", None)
         runwareAccelerator = kwargs.get("Accelerator", None)
         settings = kwargs.get("settings", None)
+        lora = kwargs.get("lora", None)
         useDuration = kwargs.get("useDuration", False)
         duration = kwargs.get("duration", 5)
         fps = kwargs.get("fps", 24)
@@ -436,6 +440,9 @@ def generateVideo(self, **kwargs):
         # Add settings if provided (draft, audio, promptUpsampling, voiceDescription, ...)
         if settings is not None and isinstance(settings, dict) and len(settings) > 0:
             genConfig[0]["settings"] = settings
+
+        if lora and lora.get("model"):
+            genConfig[0]["lora"] = [lora]
 
         # Add acceleration if not "none"
         if acceleration and acceleration != "none":

modules/videoInferenceLora.py

@@ -0,0 +1,35 @@
+class RunwareVideoInferenceLora:
+    """LoRA config for Runware Video Inference."""
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "model": ("STRING", {
+                    "default": "",
+                    "tooltip": "LoRA model AIR code (e.g. lvs:mayflower@lora-test).",
+                }),
+                "weight": ("FLOAT", {
+                    "tooltip": "LoRA strength for video generation.",
+                    "default": 0.7,
+                    "min": -4.0,
+                    "max": 4.0,
+                    "step": 0.1,
+                }),
+            },
+        }
+
+    DESCRIPTION = (
+        "Configure a LoRA for Runware Video Inference. Connect the output to "
+        "Runware Video Inference → lora."
+    )
+    FUNCTION = "createLora"
+    RETURN_TYPES = ("RUNWAREVIDEOINFERENCELORA",)
+    RETURN_NAMES = ("lora",)
+    CATEGORY = "Runware"
+
+    def createLora(self, model, weight):
+        return ({
+            "model": model.strip(),
+            "weight": round(weight, 2),
+        },)

modules/videoModelSearch.py

@@ -92,6 +92,7 @@ class videoModelSearch:
             "lightricks:ltx@2 (LTX-2)",
             "lightricks:ltx@2.3 (LTX 2.3)",
             "lightricks:ltx@2.3-fast (LTX 2.3 Fast)",
+            "lightricks:ltx@2.3-open (LTX-2.3 Open)",
         ],
         "Ovi": [
             "runware:190@1 (Ovi)",
@@ -240,6 +241,7 @@ class videoModelSearch:
         "lightricks:ltx@2": {"width": 1024, "height": 1024},
         "lightricks:ltx@2.3": {"width": 1920, "height": 1080},
         "lightricks:ltx@2.3-fast": {"width": 1920, "height": 1080},
+        "lightricks:ltx@2.3-open": {"width": 1024, "height": 1024},
 
         # Ovi Models
         "runware:190@1": {"width": 0, "height": 0},
@@ -387,6 +389,7 @@ class videoModelSearch:
         "lightricks:ltx@2": None,  # No resolution support (fixed 1024x1024)
         "lightricks:ltx@2.3": "1080p",
         "lightricks:ltx@2.3-fast": "1080p",
+        "lightricks:ltx@2.3-open": None,  # No resolution support (fixed 1024x1024)
 
         # Ovi Models
         "runware:190@1": None,  # No resolution support