diff --git a/modules/videoInference.py b/modules/videoInference.py index a15dddb..96a03df 100644 --- a/modules/videoInference.py +++ b/modules/videoInference.py @@ -4,6 +4,89 @@ import comfy.model_management class txt2vid: + @staticmethod + def _format_reference_images(referenceImages): + """ + 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 [] + + if not isinstance(referenceImages, list): + referenceImages = [referenceImages] + + has_grouped_images = any( + isinstance(ref, dict) and isinstance(ref.get("images"), list) and len(ref.get("images")) > 0 + for ref in referenceImages + ) + + if has_grouped_images: + grouped = [] + for idx, ref in enumerate(referenceImages, start=1): + images = [] + ref_type = "image" + ref_tag = f"@image{idx}" + ref_audio = "" + + if isinstance(ref, str): + if ref.strip(): + images = [ref.strip()] + elif isinstance(ref, dict): + ref_type = (str(ref.get("type", "image")).strip() or "image") + raw_tag = str(ref.get("tag", "")).strip() + ref_tag = raw_tag if raw_tag else ref_tag + if not ref_tag.startswith("@"): + ref_tag = f"@{ref_tag}" + + raw_audio = ref.get("audio", "") + if isinstance(raw_audio, str) and raw_audio.strip(): + ref_audio = raw_audio.strip() + + image_value = ref.get("image") + if isinstance(image_value, str) and image_value.strip(): + images.append(image_value.strip()) + + image_group = ref.get("images") + if isinstance(image_group, list): + for item in image_group: + if isinstance(item, str) and item.strip(): + images.append(item.strip()) + + if not images: + continue + + group = { + "type": ref_type, + "tag": ref_tag, + "images": images[:5], # provider limit: max 5 + } + if ref_audio: + group["audio"] = ref_audio + grouped.append(group) + + return grouped + + # Legacy/default path: flatten to list of image strings + flattened = [] + for ref in referenceImages: + if isinstance(ref, str): + if ref.strip(): + flattened.append(ref.strip()) + elif isinstance(ref, dict): + image_value = ref.get("image") + if isinstance(image_value, str) and image_value.strip(): + flattened.append(image_value.strip()) + + image_group = ref.get("images") + if isinstance(image_group, list): + for item in image_group: + if isinstance(item, str) and item.strip(): + flattened.append(item.strip()) + return flattened + @classmethod def INPUT_TYPES(cls): return { @@ -278,8 +361,10 @@ 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: - genConfig[0]["referenceImages"] = referenceImages - print(f"[Debugging] Reference images array: {rwUtils.sanitize_for_logging(referenceImages)}") + 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)}") # Add inputAudios if provided if inputAudios is not None and len(inputAudios) > 0: genConfig[0]["inputAudios"] = inputAudios @@ -308,6 +393,13 @@ class txt2vid: # Merge each input from inputs (only actual input data, not provider settings) for key, value in inputs.items(): + # Normalize referenceImages by payload style: + # grouped objects when using ImagesN; otherwise flat string[] + if key == "referenceImages": + formatted_input_refs = self._format_reference_images(value) + if len(formatted_input_refs) > 0: + genConfig[0]["inputs"][key] = formatted_input_refs + continue genConfig[0]["inputs"][key] = value print(f"[Debugging] Video inference inputs merged: {rwUtils.sanitize_for_logging(inputs)}") diff --git a/modules/videoInputsReferences.py b/modules/videoInputsReferences.py index cd7aa56..6b4e848 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): @@ -16,21 +17,22 @@ class videoInputsReferences: optionalInputs[f"Image{i}"] = ("IMAGE", { "tooltip": f"{ordinal.capitalize()} single reference image (mutually exclusive with Images{i}).", }) - 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": "", - }) + 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": {}, @@ -38,8 +40,8 @@ class videoInputsReferences: } DESCRIPTION = ( - "Configure multiple reference image entries for video inference inputs. " - "For each slot, provide either ImageN (single image) or ImagesN (connector output), not both." + "Configure up to 10 reference image entries for video inference inputs. " + "For slots 1-4, provide either ImageN (single image) or ImagesN (connector output), not both." ) FUNCTION = "createReferences" RETURN_TYPES = ("RUNWAREVIDEOINPUTSREFERENCEIMAGES",) @@ -62,7 +64,7 @@ class videoInputsReferences: refTag = (kwargs.get(tagKey) or "").strip() refType = kwargs.get(typeKey, "") refAudio = (kwargs.get(audioKey) or "").strip() - + has_image = image is not None has_images = isinstance(images, list) and len(images) > 0 if has_image and has_images: diff --git a/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json b/workflows/Runware_Video_Inference_Skyreels_Ref_Image.json index a79d8d9..8ade166 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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