From 843422e01c6264bf1173da0560a739f0c33900b8 Mon Sep 17 00:00:00 2001 From: Sirshendu Ganguly Date: Tue, 28 Oct 2025 23:09:47 -0400 Subject: [PATCH] Add provider settings support and new input nodes for upscale/background removal - Add Ovi/Bria provider settings support for upscaler and background removal - Add new Safety Inputs node (modules/safetyInputs.py) for content moderation settings - Add new Video Advanced Feature Inputs node (modules/videoAdvancedFeatureInputs.py) for CFG scales, negative prompts, and SLG layer settings - Fix advanced feature inputs to be properly nested under 'advancedFeatures' key (matching safety inputs pattern) - Update bgremoval.py with provider settings support - Update upscaler.py with provider settings support - Update videoInference.py to handle safety and advanced feature inputs correctly - Update acceleratorOptions.py with improved caching options - Update briaImageProviderSettings.py with additional settings - Update videoInferenceInputs.py with new input support - Update videoModelSearch.py with model enhancements - Update all workflow JSON files to use new nodes - Add new Runware_Image_to_Video_Ovi.json workflow - Update TypeScript types in clientlibs/types.js - Register new nodes in __init__.py --- __init__.py | 4 + clientlibs/types.js | 30 +++++ modules/acceleratorOptions.py | 120 ++++++++++++------ modules/bgremoval.py | 54 +++++++- modules/briaImageProviderSettings.py | 15 ++- modules/safetyInputs.py | 73 +++++++++++ modules/upscaler.py | 55 +++++++- modules/videoAdvancedFeatureInputs.py | 84 ++++++++++++ modules/videoInference.py | 54 +++++++- modules/videoInferenceInputs.py | 8 ++ modules/videoModelSearch.py | 9 +- .../Runware_Basic_Background_Removal.json | 2 +- workflows/Runware_Basic_Image_Upscaling.json | 2 +- workflows/Runware_Image_to_Video.json | 2 +- workflows/Runware_Image_to_Video_Ovi.json | 1 + .../Runware_Image_to_Video_Pixverse.json | 2 +- workflows/Runware_Text_To_Video.json.json | 2 +- workflows/Runware_VideoInference_LTX.json | 2 +- ...o_Inference_Minimax_Provider_Settings.json | 2 +- .../Runware_Video_Inference_Omnihuman1_5.json | 2 +- ...nware_Video_Inference_PixverseLipSync.json | 2 +- ...Video_Inference_PixverseLipSyncSpeech.json | 2 +- workflows/Runware_Video_Inference_Veo3_1.json | 2 +- ...re_Video_Inference_Veo3_1_FrameImages.json | 2 +- workflows/Runware_Vidu_Video_Template.json | 2 +- 25 files changed, 468 insertions(+), 65 deletions(-) create mode 100644 modules/safetyInputs.py create mode 100644 modules/videoAdvancedFeatureInputs.py create mode 100644 workflows/Runware_Image_to_Video_Ovi.json diff --git a/__init__.py b/__init__.py index 8387ec3..9a99ca0 100644 --- a/__init__.py +++ b/__init__.py @@ -50,6 +50,8 @@ from .modules.vectorize import vectorize from .modules.videoBgRemoval import videoBgRemoval from .modules.videoUpscaler import videoUpscaler from .modules.videoInputsReferences import videoInputsReferences +from .modules.safetyInputs import safetyInputs +from .modules.videoAdvancedFeatureInputs import videoAdvancedFeatureInputs RUNWARE_COMFYUI_VERSION = "1.4.0 Beta" @@ -114,6 +116,8 @@ NODE_CLASS_MAPPINGS = { "Runware Video Background Removal": videoBgRemoval, "Runware Video Upscaler": videoUpscaler, "Runware Video Inputs References": videoInputsReferences, + "Runware Safety Inputs": safetyInputs, + "Runware Video Advanced Feature Inputs": videoAdvancedFeatureInputs, } NODE_DISPLAY_NAME_MAPPINGS = { diff --git a/clientlibs/types.js b/clientlibs/types.js index 5f984ec..3579828 100644 --- a/clientlibs/types.js +++ b/clientlibs/types.js @@ -85,6 +85,7 @@ const RUNWARE_NODE_TYPES = { PIXVERSEPROVIDERSETTINGS: "Runware Pixverse Provider Settings", OPENAIPROVIDERSETTINGS: "Runware OpenAI Provider Settings", BYTEDANCEPROVIDERSETTINGS: "Runware Bytedance Provider Settings", + BRIAPROVIDERSETTINGS: "Runware Bria Provider Settings", ELEVENLABSPROVIDERSETTINGS: "Runware ElevenLabs Provider Settings", ELEVENLABSPROVIDERSETTINGSSECTIONS: "Runware ElevenLabs Provider Settings Sections", VIDUPROVIDERSETTINGS: "Runware Vidu Provider Settings", @@ -97,6 +98,11 @@ const RUNWARE_NODE_TYPES = { VIDEOBGREMOVAL: "Runware Video Background Removal", VIDEOUPSCALER: "Runware Video Upscaler", VIDEOINPUTSREFERENCES: "Runware Video Inputs References", + ACCELERATOROPTIONS: "Runware Accelerator Options", + VIDEOTRANSCRIPTION: "Runware Video Transcription", + MINIMAXPROVIDERSETTINGS: "Runware MiniMax Provider Settings", + SAFETYINPUTS: "Runware Safety Inputs", + VIDEOADVANCEDFEATUREINPUTS: "Runware Video Advanced Feature Inputs", }; const RUNWARE_NODE_PROPS = { @@ -251,6 +257,10 @@ const RUNWARE_NODE_PROPS = { bgColor: DEFAULT_BGCOLOR, colorModeOnly: true, }, + [RUNWARE_NODE_TYPES.BRIAPROVIDERSETTINGS]: { + bgColor: DEFAULT_BGCOLOR, + colorModeOnly: true, + }, [RUNWARE_NODE_TYPES.ELEVENLABSPROVIDERSETTINGS]: { bgColor: DEFAULT_BGCOLOR, colorModeOnly: true, @@ -296,6 +306,26 @@ const RUNWARE_NODE_PROPS = { bgColor: DEFAULT_BGCOLOR, colorModeOnly: true, }, + [RUNWARE_NODE_TYPES.ACCELERATOROPTIONS]: { + bgColor: DEFAULT_BGCOLOR, + colorModeOnly: true, + }, + [RUNWARE_NODE_TYPES.VIDEOTRANSCRIPTION]: { + bgColor: DEFAULT_BGCOLOR, + colorModeOnly: true, + }, + [RUNWARE_NODE_TYPES.MINIMAXPROVIDERSETTINGS]: { + bgColor: DEFAULT_BGCOLOR, + colorModeOnly: true, + }, + [RUNWARE_NODE_TYPES.SAFETYINPUTS]: { + bgColor: DEFAULT_BGCOLOR, + colorModeOnly: true, + }, + [RUNWARE_NODE_TYPES.VIDEOADVANCEDFEATUREINPUTS]: { + bgColor: DEFAULT_BGCOLOR, + colorModeOnly: true, + }, }; export { diff --git a/modules/acceleratorOptions.py b/modules/acceleratorOptions.py index dd19115..3e4a0d6 100644 --- a/modules/acceleratorOptions.py +++ b/modules/acceleratorOptions.py @@ -11,9 +11,13 @@ class acceleratorOptions: "tooltip": "Enable Frame Buffer Cache for faster generation", "default": None, }), + "useCacheDistance": ("BOOLEAN", { + "tooltip": "Enable to include cacheDistance parameter in API request.", + "default": False, + }), "cacheDistance": ("FLOAT", { "tooltip": "Cache distance parameter for FBCache", - "default": None, + "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01, @@ -24,9 +28,13 @@ class acceleratorOptions: "tooltip": "Enable TeaCache for transformer-based models (Flux, SD3). Does not work with UNet models like SDXL or SD1.5. Particularly effective for iterative editing workflows.", "default": None, }), + "useTeaCacheDistance": ("BOOLEAN", { + "tooltip": "Enable to include teaCacheDistance parameter in API request.", + "default": False, + }), "teaCacheDistance": ("FLOAT", { "tooltip": "Controls TeaCache aggressiveness: 0.0 (conservative/quality) to 1.0 (aggressive/speed). Lower values maintain quality, higher values prioritize speed.", - "default": None, + "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01, @@ -37,47 +45,65 @@ class acceleratorOptions: "tooltip": "Enable DeepCache for UNet-based models (SDXL, SD1.5). Not applicable to transformer models. Provides performance improvements for high-throughput scenarios.", "default": None, }), + "useDeepCacheOptions": ("BOOLEAN", { + "tooltip": "Enable to include DeepCache options (deepCacheInterval and deepCacheBranchId) in API request.", + "default": False, + }), "deepCacheInterval": ("INT", { "tooltip": "Frequency of feature caching - steps between cache operations. Larger values = faster but may impact quality. Smaller values = better quality but slower.", - "default": None, + "default": 1, "min": 1, "max": 20, }), "deepCacheBranchId": ("INT", { "tooltip": "Network branch for caching (0=shallowest, deeper=more conservative). Lower IDs = aggressive caching/faster, higher IDs = conservative caching/better quality.", - "default": None, + "default": 0, "min": 0, "max": 10, }), - # Cache step control parameters + # Cache step control parameters (step numbers) + "useCacheSteps": ("BOOLEAN", { + "tooltip": "Enable to include cache step control parameters (step numbers) in API request.", + "default": False, + }), "cacheStartStep": ("INT", { - "tooltip": "Inference step number where caching begins (0 to total steps). Alternative to cacheStartStepPercentage.", - "default": None, + "tooltip": "Inference step number where caching begins (0 to total steps). Only included when useCacheSteps is enabled and value > 0.", + "default": 0, "min": 0, "max": 200, }), + "cacheEndStep": ("INT", { + "tooltip": "Inference step number where caching stops (must be > cacheStartStep). Only included when useCacheSteps is enabled.", + "default": 1, + "min": 1, + "max": 200, + }), + + # Cache step control parameters (percentages) + "useCachePercentageSteps": ("BOOLEAN", { + "tooltip": "Enable to include cache step control parameters (percentages) in API request.", + "default": False, + }), "cacheStartStepPercentage": ("INT", { - "tooltip": "Percentage of total steps where caching begins (0-99). Alternative to cacheStartStep.", - "default": None, + "tooltip": "Percentage of total steps where caching begins (0-99). Only included when useCachePercentageSteps is enabled and value > 0.", + "default": 0, "min": 0, "max": 99, }), - "cacheEndStep": ("INT", { - "tooltip": "Inference step number where caching stops (must be > cacheStartStep). Alternative to cacheEndStepPercentage.", - "default": None, - "min": 1, - "max": 200, - }), "cacheEndStepPercentage": ("INT", { - "tooltip": "Percentage of total steps where caching stops (must be > cacheStartStepPercentage). Alternative to cacheEndStep.", - "default": None, + "tooltip": "Percentage of total steps where caching stops (must be > cacheStartStepPercentage). Only included when useCachePercentageSteps is enabled.", + "default": 1, "min": 1, "max": 100, }), + "useCacheMaxConsecutiveSteps": ("BOOLEAN", { + "tooltip": "Enable to include cacheMaxConsecutiveSteps parameter in API request.", + "default": False, + }), "cacheMaxConsecutiveSteps": ("INT", { "tooltip": "Max consecutive steps using cached computations before forcing fresh computation. Prevents quality degradation from extended cache reuse.", - "default": None, + "default": 1, "min": 1, "max": 5, }), @@ -93,51 +119,61 @@ class acceleratorOptions: def acceleratorOptions(self, **kwargs): # Get all optional parameters fbcache = kwargs.get("fbcache") - cacheDistance = kwargs.get("cacheDistance") + useCacheDistance = kwargs.get("useCacheDistance", False) + cacheDistance = kwargs.get("cacheDistance", 0.0) teaCache = kwargs.get("teaCache") - teaCacheDistance = kwargs.get("teaCacheDistance") + useTeaCacheDistance = kwargs.get("useTeaCacheDistance", False) + teaCacheDistance = kwargs.get("teaCacheDistance", 0.0) deepCache = kwargs.get("deepCache") - deepCacheInterval = kwargs.get("deepCacheInterval") - deepCacheBranchId = kwargs.get("deepCacheBranchId") - cacheStartStep = kwargs.get("cacheStartStep") - cacheStartStepPercentage = kwargs.get("cacheStartStepPercentage") - cacheEndStep = kwargs.get("cacheEndStep") - cacheEndStepPercentage = kwargs.get("cacheEndStepPercentage") - cacheMaxConsecutiveSteps = kwargs.get("cacheMaxConsecutiveSteps") + + # Get toggle and value parameters + useDeepCacheOptions = kwargs.get("useDeepCacheOptions", False) + deepCacheInterval = kwargs.get("deepCacheInterval", 1) + deepCacheBranchId = kwargs.get("deepCacheBranchId", 0) + useCacheSteps = kwargs.get("useCacheSteps", False) + cacheStartStep = kwargs.get("cacheStartStep", 0) + cacheEndStep = kwargs.get("cacheEndStep", 1) + useCachePercentageSteps = kwargs.get("useCachePercentageSteps", False) + cacheStartStepPercentage = kwargs.get("cacheStartStepPercentage", 0) + cacheEndStepPercentage = kwargs.get("cacheEndStepPercentage", 1) + useCacheMaxConsecutiveSteps = kwargs.get("useCacheMaxConsecutiveSteps", False) + cacheMaxConsecutiveSteps = kwargs.get("cacheMaxConsecutiveSteps", 1) # Build accelerator options dictionary acceleratorOptions = {} # FBCache options - if fbcache is not None: + if fbcache is True: acceleratorOptions["fbcache"] = fbcache - if cacheDistance is not None: + if useCacheDistance: acceleratorOptions["cacheDistance"] = cacheDistance # TeaCache options - if teaCache is not None: + if teaCache is True: acceleratorOptions["teaCache"] = teaCache - if teaCacheDistance is not None: + if useTeaCacheDistance: acceleratorOptions["teaCacheDistance"] = teaCacheDistance # DeepCache options - if deepCache is not None: + if deepCache is True: acceleratorOptions["deepCache"] = deepCache - if deepCacheInterval is not None: + if useDeepCacheOptions: acceleratorOptions["deepCacheInterval"] = deepCacheInterval - if deepCacheBranchId is not None: acceleratorOptions["deepCacheBranchId"] = deepCacheBranchId - # Cache step control options - if cacheStartStep is not None: - acceleratorOptions["cacheStartStep"] = cacheStartStep - if cacheStartStepPercentage is not None: - acceleratorOptions["cacheStartStepPercentage"] = cacheStartStepPercentage - if cacheEndStep is not None: + # Cache step control options (step numbers) + if useCacheSteps: + if cacheStartStep > 0: + acceleratorOptions["cacheStartStep"] = cacheStartStep acceleratorOptions["cacheEndStep"] = cacheEndStep - if cacheEndStepPercentage is not None: + + # Cache step control options (percentages) + if useCachePercentageSteps: + if cacheStartStepPercentage > 0: + acceleratorOptions["cacheStartStepPercentage"] = cacheStartStepPercentage acceleratorOptions["cacheEndStepPercentage"] = cacheEndStepPercentage - if cacheMaxConsecutiveSteps is not None: + + if useCacheMaxConsecutiveSteps: acceleratorOptions["cacheMaxConsecutiveSteps"] = cacheMaxConsecutiveSteps return (acceleratorOptions,) diff --git a/modules/bgremoval.py b/modules/bgremoval.py index f4ab9fe..85b0e03 100644 --- a/modules/bgremoval.py +++ b/modules/bgremoval.py @@ -1,9 +1,11 @@ from .utils import runwareUtils as rwUtils +import json class bgremoval: RUNWARE_RMBG_MODELS = { "RemBG 1.4": "runware:109@1", "Bria RMBG 2.0": "runware:110@1", + "Bria RMBG v2.0": "bria:2@1", "BiRefNet v1 Base": "runware:112@1", "BiRefNet v1 Base - COD": "runware:112@2", "BiRefNet Dis": "runware:112@3", @@ -64,6 +66,15 @@ class bgremoval: "min": 1, "max": 255, }), + "safetyInputs": ("RUNWARESAFETYINPUTS", { + "tooltip": "Connect Runware Safety Inputs node to configure safety and content moderation settings.", + }), + "Accelerator": ("RUNWAREACCELERATOR", { + "tooltip": "Connect a Runware Accelerator Options Node to configure caching and acceleration settings.", + }), + "providerSettings": ("RUNWAREPROVIDERSETTINGS", { + "tooltip": "Connect a Runware Provider Settings node to configure provider-specific parameters.", + }), **rwUtils.RUNWARE_REMBG_OUTPUT_FORMATS, } } @@ -83,6 +94,9 @@ class bgremoval: alphaMattingBackgroundThreshold = kwargs.get("Alpha Matting Background Threshold", 10) alphaMattingErodeSize = kwargs.get("Alpha Matting Erode Size", 10) outputFormat = kwargs.get("outputFormat", "WEBP") + safetyInputs = kwargs.get("safetyInputs", None) + runwareAccelerator = kwargs.get("Accelerator", None) + providerSettings = kwargs.get("providerSettings", None) modelAIR = self.RUNWARE_RMBG_MODELS.get(modelName, "runware:109@1") includeExtraSettings = postProcessMask or returnOnlyMask or alphaMatting @@ -113,7 +127,45 @@ class bgremoval: settings["alphaMattingBackgroundThreshold"] = alphaMattingBackgroundThreshold settings["alphaMattingErodeSize"] = alphaMattingErodeSize genConfig["settings"] = settings + + # Add safety inputs if provided + if safetyInputs is not None and isinstance(safetyInputs, dict) and len(safetyInputs) > 0: + genConfig["safety"] = safetyInputs + + # Add accelerator options if provided + if runwareAccelerator is not None and isinstance(runwareAccelerator, dict) and len(runwareAccelerator) > 0: + genConfig["acceleratorOptions"] = runwareAccelerator + + # Handle providerSettings - extract provider name from model and merge with custom settings + if providerSettings is not None: + # Extract provider name from model (e.g., "bria:2@1" -> "bria", "runware:109@1" -> "runware") + provider_name = modelAIR.split(":")[0] if ":" in modelAIR else "runware" + + # If providerSettings is a dictionary, create the correct API format + if isinstance(providerSettings, dict): + # Create the providerSettings object with provider name as key + final_provider_settings = { + provider_name: providerSettings + } + genConfig["providerSettings"] = final_provider_settings + print(f"[Debugging] Provider settings: {final_provider_settings}") + else: + # If it's just a string, use it directly + genConfig["providerSettings"] = providerSettings - genResult = rwUtils.inferenecRequest([genConfig]) + # Debug: Print the request being sent + print(f"[DEBUG] Sending Background Removal Request:", flush=True) + print(f"[DEBUG] Request Payload: {json.dumps([genConfig], indent=2)}", flush=True) + + try: + genResult = rwUtils.inferenecRequest([genConfig]) + + # Debug: Print the response received + print(f"[DEBUG] Received Background Removal Response:", flush=True) + print(f"[DEBUG] Response: {json.dumps(genResult, indent=2)}", flush=True) + except Exception as e: + print(f"[DEBUG] Error in Background Removal Request: {str(e)}", flush=True) + raise + images = rwUtils.convertImageB64List(genResult) return (images, ) \ No newline at end of file diff --git a/modules/briaImageProviderSettings.py b/modules/briaImageProviderSettings.py index 6fed1af..9307f54 100644 --- a/modules/briaImageProviderSettings.py +++ b/modules/briaImageProviderSettings.py @@ -14,7 +14,7 @@ class RunwareBriaProviderSettings: return { "required": {}, "optional": { - "medium": (["photography", "art"], { + "medium": (["None", "photography", "art"], { "tooltip": "Select the medium type for image generation", "default": "photography", }), @@ -48,6 +48,12 @@ class RunwareBriaProviderSettings: "label_on": "Enabled", "label_off": "Disabled", }), + "preserveAlpha": ("BOOLEAN", { + "tooltip": "Preserve alpha channel in the image.", + "default": None, + "label_on": "Enabled", + "label_off": "Disabled", + }), } } @@ -67,12 +73,13 @@ class RunwareBriaProviderSettings: promptContentModeration = kwargs.get("promptContentModeration", True) contentModeration = kwargs.get("contentModeration", True) ipSignal = kwargs.get("ipSignal", False) + preserveAlpha = kwargs.get("preserveAlpha", None) # Build settings dictionary settings = {} # Add medium - if medium is not None: + if medium is not None and medium != "None": settings["medium"] = medium # Add promptEnhancement @@ -95,6 +102,10 @@ class RunwareBriaProviderSettings: if ipSignal is not None: settings["ipSignal"] = ipSignal + # Add preserveAlpha + if preserveAlpha is not None: + settings["preserveAlpha"] = preserveAlpha + # Clean up None values settings = {k: v for k, v in settings.items() if v is not None} diff --git a/modules/safetyInputs.py b/modules/safetyInputs.py new file mode 100644 index 0000000..4637c89 --- /dev/null +++ b/modules/safetyInputs.py @@ -0,0 +1,73 @@ +from typing import Optional, Dict, Any + +class safetyInputs: + """Runware Safety Inputs Node""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": {}, + "optional": { + "mode": (["none", "fast", "full"], { + "tooltip": "Safety moderation mode: none (disable), fast (quick check), or full (comprehensive check).", + "default": "none", + }), + "tolerance": ("BOOLEAN", { + "tooltip": "Safety tolerance setting for content moderation.", + "default": None, + "label_on": "Enabled", + "label_off": "Disabled", + }), + "checkInputs": ("BOOLEAN", { + "tooltip": "Enable checking of input content for safety violations.", + "default": None, + "label_on": "Enabled", + "label_off": "Disabled", + }), + "checkContent": ("BOOLEAN", { + "tooltip": "Enable checking of generated content for safety violations.", + "default": None, + "label_on": "Enabled", + "label_off": "Disabled", + }), + } + } + + RETURN_TYPES = ("RUNWARESAFETYINPUTS",) + RETURN_NAMES = ("Safety Inputs",) + FUNCTION = "create_safety_inputs" + CATEGORY = "Runware" + DESCRIPTION = "Configure safety and content moderation settings for Runware tasks." + + def create_safety_inputs(self, **kwargs) -> tuple[Dict[str, Any]]: + """Create safety inputs dictionary""" + + # Get parameters + mode = kwargs.get("mode", None) + tolerance = kwargs.get("tolerance", None) + checkInputs = kwargs.get("checkInputs", None) + checkContent = kwargs.get("checkContent", None) + + # Build safety inputs dictionary - only include non-None values + safety_inputs = {} + + if mode is not None: + safety_inputs["mode"] = mode + if tolerance is not None: + safety_inputs["tolerance"] = tolerance + if checkInputs is not None: + safety_inputs["checkInputs"] = checkInputs + if checkContent is not None: + safety_inputs["checkContent"] = checkContent + + return (safety_inputs,) + +# Node class mappings +NODE_CLASS_MAPPINGS = { + "RunwareSafetyInputs": safetyInputs, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "RunwareSafetyInputs": "Runware Safety Inputs", +} + diff --git a/modules/upscaler.py b/modules/upscaler.py index be97ef8..c0f4f6d 100644 --- a/modules/upscaler.py +++ b/modules/upscaler.py @@ -1,4 +1,5 @@ from .utils import runwareUtils as rwUtils +import json class upscaler: @classmethod @@ -18,7 +19,7 @@ class upscaler: }, "optional": { "model": ("STRING", { - "tooltip": "Model AIR ID (runware:500@1, runware:501@1, runware:502@1, runware:503@1)", + "tooltip": "Model AIR ID (runware:500@1, runware:501@1, runware:502@1, runware:503@1, bria:52@1)", "default": "", }), # Common parameters toggles @@ -113,6 +114,15 @@ class upscaler: "min": 0, "max": 2, }), + "safetyInputs": ("RUNWARESAFETYINPUTS", { + "tooltip": "Connect Runware Safety Inputs node to configure safety and content moderation settings.", + }), + "Accelerator": ("RUNWAREACCELERATOR", { + "tooltip": "Connect a Runware Accelerator Options Node to configure caching and acceleration settings.", + }), + "providerSettings": ("RUNWAREPROVIDERSETTINGS", { + "tooltip": "Connect a Runware Provider Settings node to configure provider-specific parameters.", + }), }, } @@ -147,6 +157,9 @@ class upscaler: colorFix = kwargs.get("colorFix", False) tileDiffusion = kwargs.get("tileDiffusion", False) clipSkip = kwargs.get("clipSkip", 0) + safetyInputs = kwargs.get("safetyInputs", None) + runwareAccelerator = kwargs.get("Accelerator", None) + providerSettings = kwargs.get("providerSettings", None) # Build the base configuration genConfig = { @@ -197,7 +210,45 @@ class upscaler: # Add settings to config if any settings were specified if settings: genConfig["settings"] = settings + + # Add safety inputs if provided + if safetyInputs is not None and isinstance(safetyInputs, dict) and len(safetyInputs) > 0: + genConfig["safety"] = safetyInputs + + # Add accelerator options if provided + if runwareAccelerator is not None and isinstance(runwareAccelerator, dict) and len(runwareAccelerator) > 0: + genConfig["acceleratorOptions"] = runwareAccelerator + + # Handle providerSettings - extract provider name from model and merge with custom settings + if providerSettings is not None: + # Extract provider name from model (e.g., "runware:500@1" -> "runware") + provider_name = model.split(":")[0] if ":" in model and model else "runware" + + # If providerSettings is a dictionary, create the correct API format + if isinstance(providerSettings, dict): + # Create the providerSettings object with provider name as key + final_provider_settings = { + provider_name: providerSettings + } + genConfig["providerSettings"] = final_provider_settings + print(f"[Debugging] Provider settings: {final_provider_settings}") + else: + # If it's just a string, use it directly + genConfig["providerSettings"] = providerSettings - genResult = rwUtils.inferenecRequest([genConfig]) + # Debug: Print the request being sent + print(f"[DEBUG] Sending Image Upscale Request:", flush=True) + print(f"[DEBUG] Request Payload: {json.dumps([genConfig], indent=2)}", flush=True) + + try: + genResult = rwUtils.inferenecRequest([genConfig]) + + # Debug: Print the response received + print(f"[DEBUG] Received Image Upscale Response:", flush=True) + print(f"[DEBUG] Response: {json.dumps(genResult, indent=2)}", flush=True) + except Exception as e: + print(f"[DEBUG] Error in Image Upscale Request: {str(e)}", flush=True) + raise + images = rwUtils.convertImageB64List(genResult) return (images, ) \ No newline at end of file diff --git a/modules/videoAdvancedFeatureInputs.py b/modules/videoAdvancedFeatureInputs.py new file mode 100644 index 0000000..f5b00d3 --- /dev/null +++ b/modules/videoAdvancedFeatureInputs.py @@ -0,0 +1,84 @@ +from typing import Optional, Dict, Any + +class videoAdvancedFeatureInputs: + """Runware Video Advanced Feature Inputs Node""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": {}, + "optional": { + "videoCFGScale": ("FLOAT", { + "tooltip": "CFG scale for video generation.", + "default": None, + "min": 0.0, + "max": 30.0, + "step": 0.1, + }), + "audioCFGScale": ("FLOAT", { + "tooltip": "CFG scale for audio generation.", + "default": None, + "min": 0.0, + "max": 30.0, + "step": 0.1, + }), + "videoNegativePrompt": ("STRING", { + "tooltip": "Negative prompt for video generation.", + "multiline": True, + "default": "", + }), + "audioNegativePrompt": ("STRING", { + "tooltip": "Negative prompt for audio generation.", + "multiline": True, + "default": "", + }), + "slgLayer": ("INT", { + "tooltip": "SLG layer setting.", + "default": None, + "min": 0, + "max": 100, + }), + } + } + + RETURN_TYPES = ("RUNWAREVIDEOADVANCEDFEATUREINPUTS",) + RETURN_NAMES = ("Video Advanced Feature Inputs",) + FUNCTION = "create_advanced_feature_inputs" + CATEGORY = "Runware" + DESCRIPTION = "Configure advanced video feature inputs including CFG scales, negative prompts, and SLG layer settings." + + def create_advanced_feature_inputs(self, **kwargs) -> tuple[Dict[str, Any]]: + """Create video advanced feature inputs dictionary""" + + # Get parameters + videoCFGScale = kwargs.get("videoCFGScale", None) + audioCFGScale = kwargs.get("audioCFGScale", None) + videoNegativePrompt = kwargs.get("videoNegativePrompt", None) + audioNegativePrompt = kwargs.get("audioNegativePrompt", None) + slgLayer = kwargs.get("slgLayer", None) + + # Build advanced feature inputs dictionary - only include non-None values + advanced_inputs = {} + + if videoCFGScale is not None: + advanced_inputs["videoCFGScale"] = videoCFGScale + if audioCFGScale is not None: + advanced_inputs["audioCFGScale"] = audioCFGScale + if videoNegativePrompt is not None and videoNegativePrompt.strip() != "": + advanced_inputs["videoNegativePrompt"] = videoNegativePrompt.strip() + if audioNegativePrompt is not None and audioNegativePrompt.strip() != "": + advanced_inputs["audioNegativePrompt"] = audioNegativePrompt.strip() + if slgLayer is not None: + advanced_inputs["slgLayer"] = slgLayer + + return (advanced_inputs,) + +# Node class mappings +NODE_CLASS_MAPPINGS = { + "RunwareVideoAdvancedFeatureInputs": videoAdvancedFeatureInputs, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "RunwareVideoAdvancedFeatureInputs": "Runware Video Advanced Feature Inputs", +} + diff --git a/modules/videoInference.py b/modules/videoInference.py index 31b56e5..252e70b 100644 --- a/modules/videoInference.py +++ b/modules/videoInference.py @@ -42,6 +42,10 @@ class txt2vid: "max": 1920, "step": 1, }), + "useDuration": ("BOOLEAN", { + "tooltip": "Enable to include duration parameter in API request. Disable if your model doesn't support duration.", + "default": True, + }), "duration": ("INT", { "tooltip": "The duration of the video in seconds.", "default": 5, @@ -72,6 +76,16 @@ class txt2vid: "min": 1, "max": 9223372036854776000, }), + "useSteps": ("BOOLEAN", { + "tooltip": "Enable to include steps parameter in API request. Disable if your model doesn't support steps.", + "default": False, + }), + "steps": ("INT", { + "tooltip": "Number of inference steps for video generation. More steps generally result in higher quality but longer generation time.", + "default": 20, + "min": 1, + "max": 100, + }), "batchSize": ("INT", { "tooltip": "The number of videos to generate in a single request.", "default": 1, @@ -115,6 +129,15 @@ class txt2vid: "inputs": ("RUNWAREVIDEOINFERENCEINPUTS", { "tooltip": "Connect a Runware Video Inference Inputs node to provide custom inputs like image, audio, mask, and parameters for OmniHuman 1.5 and other video models.", }), + "safetyInputs": ("RUNWARESAFETYINPUTS", { + "tooltip": "Connect Runware Safety Inputs node to configure safety and content moderation settings.", + }), + "videoAdvancedFeatureInputs": ("RUNWAREVIDEOADVANCEDFEATUREINPUTS", { + "tooltip": "Connect Runware Video Advanced Feature Inputs node to configure advanced video features like CFG scales, FPS, negative prompts, and SLG layer settings.", + }), + "Accelerator": ("RUNWAREACCELERATOR", { + "tooltip": "Connect a Runware Accelerator Options Node to configure caching and acceleration settings.", + }), } } @@ -149,9 +172,13 @@ class txt2vid: speechVoice = kwargs.get("speechVoice", None) speechText = kwargs.get("speechText", None) inputs = kwargs.get("inputs", None) + safetyInputs = kwargs.get("safetyInputs", None) + videoAdvancedFeatureInputs = kwargs.get("videoAdvancedFeatureInputs", None) + runwareAccelerator = kwargs.get("Accelerator", None) useCustomDimensions = kwargs.get("useCustomDimensions", False) customWidth = kwargs.get("width", 864) customHeight = kwargs.get("height", 480) + useDuration = kwargs.get("useDuration", True) duration = kwargs.get("duration", 5) fps = kwargs.get("fps", 24) useFps = kwargs.get("useFps", True) @@ -159,6 +186,8 @@ class txt2vid: batchSize = kwargs.get("batchSize", 1) seed = kwargs.get("seed", 1) useSeed = kwargs.get("useSeed", True) + steps = kwargs.get("steps", 20) + useSteps = kwargs.get("useSteps", False) # Handle model input - could be dict or string if isinstance(runwareVideoModel, dict): @@ -181,14 +210,15 @@ class txt2vid: { "taskType": "videoInference", "taskUUID": rwUtils.genRandUUID(), - "height": height, - "width": width, "model": model, "outputFormat": outputFormat, "numberResults": batchSize, "includeCost": True, } ] + if height!=0 and width!=0: + genConfig[0]['height'] = height + genConfig[0]['width'] = width # Only add positivePrompt if it's not empty if positivePrompt and positivePrompt.strip() != "": @@ -199,12 +229,16 @@ class txt2vid: genConfig[0]["fps"] = fps # Add duration parameter - unified for all models - genConfig[0]["duration"] = duration + if useDuration: + genConfig[0]["duration"] = duration # Add seed parameter only if enabled - if useSeed: genConfig[0]["seed"] = seed + + # Add steps parameter only if enabled + if useSteps: + genConfig[0]["steps"] = steps if (negativePrompt is not None and negativePrompt != ""): genConfig[0]["negativePrompt"] = negativePrompt @@ -273,6 +307,18 @@ class txt2vid: else: # If it's just a string, use it directly genConfig[0]["providerSettings"] = providerSettings + + # Add safety inputs if provided + if safetyInputs is not None and isinstance(safetyInputs, dict) and len(safetyInputs) > 0: + genConfig[0]["safetyInputs"] = safetyInputs + + # Add video advanced feature inputs if provided + if videoAdvancedFeatureInputs is not None and isinstance(videoAdvancedFeatureInputs, dict) and len(videoAdvancedFeatureInputs) > 0: + genConfig[0]["advancedFeatures"] = videoAdvancedFeatureInputs + + # Add accelerator options if provided + if runwareAccelerator is not None and isinstance(runwareAccelerator, dict) and len(runwareAccelerator) > 0: + genConfig[0]["acceleratorOptions"] = runwareAccelerator if (multiInferenceMode): return (None, genConfig) diff --git a/modules/videoInferenceInputs.py b/modules/videoInferenceInputs.py index 69f8cd7..66240d1 100644 --- a/modules/videoInferenceInputs.py +++ b/modules/videoInferenceInputs.py @@ -15,6 +15,9 @@ class videoInferenceInputs: "Mask": ("IMAGE", { "tooltip": "Mask image to specify a specific subject in the image to speak. Use white/black mask format." }), + "Frame": ("IMAGE", { + "tooltip": "Frame image for video generation. Connect a Load Image node to provide the frame image." + }), "References": ("RUNWAREVIDEOINPUTSREFERENCES", { "tooltip": "Connect the Video Inputs References node to provide reference images." }), @@ -31,6 +34,7 @@ class videoInferenceInputs: image = kwargs.get("Image", None) audio = kwargs.get("Audio", None) mask = kwargs.get("Mask", None) + frame = kwargs.get("Frame", None) references = kwargs.get("References", None) inputs = {} @@ -46,6 +50,10 @@ class videoInferenceInputs: mask_uuid = rwUtils.convertTensor2IMG(mask) inputs["mask"] = mask_uuid + if frame is not None: + frame_uuid = rwUtils.convertTensor2IMG(frame) + inputs["frame"] = frame_uuid + if references is not None and len(references) > 0: inputs["references"] = references diff --git a/modules/videoModelSearch.py b/modules/videoModelSearch.py index 646ac1d..828b4e9 100644 --- a/modules/videoModelSearch.py +++ b/modules/videoModelSearch.py @@ -58,6 +58,9 @@ class videoModelSearch: "lightricks:2@0 (LTX Fast)", "lightricks:2@1 (LTX Pro)", ], + "Ovi": [ + "runware:190@1 (Ovi)", + ], } # Model dimensions mapping @@ -118,6 +121,9 @@ class videoModelSearch: # Lightricks Models "lightricks:2@0": {"width": 1920, "height": 1080}, # Lightricks v2.0 Fast "lightricks:2@1": {"width": 1920, "height": 1080}, # Lightricks v2.1 Pro + + # Ovi Models + "runware:190@1": {"width": 0, "height": 0}, # Ovi } @@ -143,7 +149,8 @@ class videoModelSearch: "Vidu", "Wan", "OpenAI", - "Lightricks" + "Lightricks", + "Ovi" ], { "tooltip": "Choose Video Model Architecture To Filter Results.", "default": "KlingAI", diff --git a/workflows/Runware_Basic_Background_Removal.json b/workflows/Runware_Basic_Background_Removal.json index e0d7329..2dbc2bd 100644 --- a/workflows/Runware_Basic_Background_Removal.json +++ b/workflows/Runware_Basic_Background_Removal.json @@ -1 +1 @@ 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