From fbdb3f15bb4b92ff9bc6ee5cf01790653f93dfeb Mon Sep 17 00:00:00 2001 From: Sirshendu Ganguly Date: Tue, 28 Apr 2026 19:09:17 +0530 Subject: [PATCH] Added backward compatibility --- modules/videoInference.py | 20 ++++--- modules/videoInputsReferences.py | 60 ++++++++++++------- ...re_Video_Inference_Skyreels_Ref_Image.json | 2 +- ...re_Video_Inference_xAI_Grok_Ref_Image.json | 2 +- 4 files changed, 53 insertions(+), 31 deletions(-) diff --git a/modules/videoInference.py b/modules/videoInference.py index 544aed9..f47d9c5 100644 --- a/modules/videoInference.py +++ b/modules/videoInference.py @@ -5,11 +5,12 @@ import comfy.model_management class txt2vid: @staticmethod - def _format_reference_images(referenceImages, model): + def _format_reference_images(referenceImages): """ - Shape referenceImages per model requirements: - - skywork:skyreels@v4 -> list of groups: {type, tag, images, audio?} - - others -> flat list[str] (legacy behavior) + Shape referenceImages by payload style: + - If any entry uses `images` (Images1..N style), return grouped objects + [{type, tag, images, audio?}] + - Otherwise return flat list[str] (legacy behavior) """ if referenceImages is None: return [] @@ -17,9 +18,12 @@ class txt2vid: if not isinstance(referenceImages, list): referenceImages = [referenceImages] - is_skyreels = model == "skywork:skyreels@v4" + has_grouped_images = any( + isinstance(ref, dict) and isinstance(ref.get("images"), list) and len(ref.get("images")) > 0 + for ref in referenceImages + ) - if is_skyreels: + if has_grouped_images: grouped = [] for idx, ref in enumerate(referenceImages, start=1): images = [] @@ -357,7 +361,7 @@ class txt2vid: print(f"[Debugging] Frame images array: {rwUtils.sanitize_for_logging(frameImages)}") # Add referenceImages if provided from Runware Reference Images node if referenceImages is not None and len(referenceImages) > 0: - formattedReferenceImages = self._format_reference_images(referenceImages, model) + formattedReferenceImages = self._format_reference_images(referenceImages) if len(formattedReferenceImages) > 0: genConfig[0]["referenceImages"] = formattedReferenceImages print(f"[Debugging] Reference images array: {rwUtils.sanitize_for_logging(formattedReferenceImages)}") @@ -391,7 +395,7 @@ class txt2vid: for key, value in inputs.items(): # Normalize referenceImages so non-SkyReels models keep legacy string[] payload if key == "referenceImages": - formatted_input_refs = self._format_reference_images(value, model) + formatted_input_refs = self._format_reference_images(value) if len(formatted_input_refs) > 0: genConfig[0]["inputs"][key] = formatted_input_refs continue diff --git a/modules/videoInputsReferences.py b/modules/videoInputsReferences.py index 6f9c013..12f7777 100644 --- a/modules/videoInputsReferences.py +++ b/modules/videoInputsReferences.py @@ -6,6 +6,7 @@ class videoInputsReferences: """Video Inputs References node for configuring reference images with types""" MAX_REFERENCES = 10 + MAX_GROUPED_REFERENCES = 4 @classmethod def INPUT_TYPES(cls): @@ -14,20 +15,24 @@ class videoInputsReferences: for i in range(1, cls.MAX_REFERENCES + 1): ordinal = rwUtils.getOrdinal(i) optionalInputs[f"Image{i}"] = ("IMAGE", { - "tooltip": f"{ordinal.capitalize()} reference image.", - }) - optionalInputs[f"Tag{i}"] = ("STRING", { - "tooltip": f"Optional tag for the {ordinal} reference (e.g., @image{i}, @Actor-1).", - "default": "", - }) - optionalInputs[f"Type{i}"] = ("STRING", { - "tooltip": f"Type for the {ordinal} reference (e.g., image or grid). Leave empty to omit.", - "default": "", - }) - optionalInputs[f"Audio{i}"] = ("STRING", { - "tooltip": f"Optional audio URL/mediaUUID for the {ordinal} reference.", - "default": "", + "tooltip": f"{ordinal.capitalize()} single reference image (mutually exclusive with Images{i}).", }) + if i <= cls.MAX_GROUPED_REFERENCES: + optionalInputs[f"Images{i}"] = ("RUNWAREVIDEOINPUTSREFERENCEMULTIIMAGES", { + "tooltip": f"{ordinal.capitalize()} reference image group from the Multiple Images Connector (mutually exclusive with Image{i}).", + }) + optionalInputs[f"Tag{i}"] = ("STRING", { + "tooltip": f"Optional tag for the {ordinal} reference (e.g., @image{i}, @Actor-1).", + "default": "", + }) + optionalInputs[f"Type{i}"] = ("STRING", { + "tooltip": f"Type for the {ordinal} reference (e.g., image or grid). Leave empty to omit.", + "default": "", + }) + optionalInputs[f"Audio{i}"] = ("STRING", { + "tooltip": f"Optional audio URL/mediaUUID for the {ordinal} reference.", + "default": "", + }) return { "required": {}, @@ -35,8 +40,8 @@ class videoInputsReferences: } DESCRIPTION = ( - "Configure multiple reference images for video inference inputs. " - "Use ImageN slots (Image1..Image10)." + "Configure up to 4 reference image entries for video inference inputs. " + "For each slot, provide either ImageN (single image) or ImagesN (connector output), not both." ) FUNCTION = "createReferences" RETURN_TYPES = ("RUNWAREVIDEOINPUTSREFERENCEIMAGES",) @@ -49,26 +54,39 @@ class videoInputsReferences: for i in range(1, self.MAX_REFERENCES + 1): imageKey = f"Image{i}" + imagesKey = f"Images{i}" tagKey = f"Tag{i}" typeKey = f"Type{i}" audioKey = f"Audio{i}" image = kwargs.get(imageKey) + images = kwargs.get(imagesKey) refTag = (kwargs.get(tagKey) or "").strip() refType = kwargs.get(typeKey, "") refAudio = (kwargs.get(audioKey) or "").strip() - if image is not None: - reference = self._createReference(image, refTag, refType, refAudio) + has_image = image is not None + has_images = isinstance(images, list) and len(images) > 0 + if has_image and has_images: + raise ValueError( + f"Reference {i}: use either {imageKey} or {imagesKey}, not both." + ) + + if has_image or has_images: + reference = self._createReference(image, images, refTag, refType, refAudio) references.append(reference) return (references,) - def _createReference(self, image, refTag: str, refType: str, refAudio: str): + def _createReference(self, image, images, refTag: str, refType: str, refAudio: str): """Create reference entry.""" - entry: Dict[str, Any] = { - "image": rwUtils.convertTensor2IMG(image) - } + entry: Dict[str, Any] = {} + if image is not None: + entry["image"] = rwUtils.convertTensor2IMG(image) + elif isinstance(images, list) and len(images) > 0: + entry["images"] = images + else: + return entry if refTag: entry["tag"] = refTag diff --git a/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json b/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json index a79d8d9..e9a2d76 100644 --- a/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json +++ b/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json @@ -1 +1 @@ -{"id":"060883ac-23f5-4182-8eb3-de6584318ea5","revision":0,"last_node_id":13,"last_link_id":9,"nodes":[{"id":1,"type":"Runware Video 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