Merge pull request #86 from Runware/feature-3DInference
Feature 3D inference
This commit is contained in:
Sirshendu Ganguly
@@ -72,6 +72,9 @@ from .modules.settings import RunwareSettings
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from .modules.videoAdvancedFeatureInputs import videoAdvancedFeatureInputs
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from .modules.advancedFeatureSettings.wanAnimateAdvancedFeatureSettings import RunwareWanAnimateAdvancedFeatureSettings
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from .modules.videoOutputs import RunwareVideoInferenceOutputs
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from .modules.threeDInference import threeDInference
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from .modules.threeDInferenceInputs import threeDInferenceInputs
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from .modules.save3D import RunwareSave3D
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RUNWARE_COMFYUI_VERSION = "1.4.0 Beta"
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@@ -158,6 +161,9 @@ NODE_CLASS_MAPPINGS = {
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"Runware Video Advanced Feature Inputs": videoAdvancedFeatureInputs,
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"Runware Wan Animate Advanced Feature Settings": RunwareWanAnimateAdvancedFeatureSettings,
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"Runware Video Inference Outputs": RunwareVideoInferenceOutputs,
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"Runware 3D Inference": threeDInference,
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"Runware 3D Inference Inputs": threeDInferenceInputs,
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"Runware Save 3D": RunwareSave3D,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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+11
-1
@@ -1,6 +1,6 @@
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import { app } from "../../scripts/app.js";
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import { api } from "../../scripts/api.js";
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import { promptEnhanceHandler, syncDimensionsNodeHandler, searchNodeHandler, APIKeyHandler, captionNodeHandler, mediaUUIDHandler, videoTranscriptionHandler, videoOutputsHandler, handleCustomErrors, videoInferenceDimensionsHandler, videoModelSearchFilterHandler, audioModelSearchFilterHandler, useParameterToggleHandler, imageInferenceToggleHandler, upscalerToggleHandler, videoUpscalerToggleHandler, audioInferenceToggleHandler, acceleratorOptionsToggleHandler, bytedanceProviderSettingsToggleHandler, openaiProviderSettingsToggleHandler, lightricksProviderSettingsToggleHandler, klingProviderSettingsToggleHandler, lumaProviderSettingsToggleHandler, briaProviderSettingsToggleHandler, pixverseProviderSettingsToggleHandler, alibabaProviderSettingsToggleHandler, mireloProviderSettingsToggleHandler, googleProviderSettingsToggleHandler, syncProviderSettingsToggleHandler, syncSegmentToggleHandler, settingsToggleHandler, audioInputToggleHandler, speechInputToggleHandler, briaProviderMaskToggleHandler, wanAnimateAdvancedFeatureSettingsToggleHandler, videoAdvancedFeatureInputsToggleHandler, audioInferenceInputsToggleHandler } from "./utils.js";
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import { promptEnhanceHandler, syncDimensionsNodeHandler, searchNodeHandler, APIKeyHandler, captionNodeHandler, mediaUUIDHandler, save3DFilepathHandler, videoTranscriptionHandler, videoOutputsHandler, handleCustomErrors, videoInferenceDimensionsHandler, videoModelSearchFilterHandler, audioModelSearchFilterHandler, useParameterToggleHandler, imageInferenceToggleHandler, upscalerToggleHandler, videoUpscalerToggleHandler, audioInferenceToggleHandler, acceleratorOptionsToggleHandler, bytedanceProviderSettingsToggleHandler, openaiProviderSettingsToggleHandler, lightricksProviderSettingsToggleHandler, klingProviderSettingsToggleHandler, lumaProviderSettingsToggleHandler, briaProviderSettingsToggleHandler, pixverseProviderSettingsToggleHandler, alibabaProviderSettingsToggleHandler, mireloProviderSettingsToggleHandler, googleProviderSettingsToggleHandler, syncProviderSettingsToggleHandler, syncSegmentToggleHandler, settingsToggleHandler, audioInputToggleHandler, speechInputToggleHandler, briaProviderMaskToggleHandler, wanAnimateAdvancedFeatureSettingsToggleHandler, videoAdvancedFeatureInputsToggleHandler, audioInferenceInputsToggleHandler } from "./utils.js";
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import { RUNWARE_NODE_TYPES, RUNWARE_NODE_PROPS, SEARCH_TERMS } from "./types.js";
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const nodeInitList = [];
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@@ -10,6 +10,7 @@ app.registerExtension({
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api.addEventListener('runwareError', handleCustomErrors);
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api.addEventListener('runwareImageCaption', captionNodeHandler);
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api.addEventListener('runwareMediaUUID', mediaUUIDHandler);
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api.addEventListener('runwareSave3DFilepath', save3DFilepathHandler);
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api.addEventListener('runwareVideoTranscription', videoTranscriptionHandler);
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api.addEventListener('runwareVideoOutputs', videoOutputsHandler);
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},
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@@ -52,6 +53,15 @@ app.registerExtension({
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w.inputEl.style.fontFamily = "monospace";
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}
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}
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} else if(nodeClass === RUNWARE_NODE_TYPES.SAVE3D) {
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// Style the filepath widget to show full path (like Media Upload mediaUUID)
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const filepathWidget = node.widgets.find(widget => widget.name === "filepath");
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if(filepathWidget && filepathWidget.inputEl) {
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filepathWidget.inputEl.style.width = "100%";
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filepathWidget.inputEl.style.minWidth = "300px";
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filepathWidget.inputEl.style.fontSize = "11px";
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filepathWidget.inputEl.style.fontFamily = "monospace";
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}
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}
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const nodeWidgets = node.widgets;
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@@ -122,6 +122,9 @@ const RUNWARE_NODE_TYPES = {
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VIDEOADVANCEDFEATUREINPUTS: "Runware Video Advanced Feature Inputs",
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WANANIMATEADVANCEDFEATURESETTINGS: "Runware Wan Animate Advanced Feature Settings",
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VIDEOINFERENCEOUTPUTS: "Runware Video Inference Outputs",
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THREEDINFERENCE: "Runware 3D Inference",
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THREEDINFERENCEINPUTS: "Runware 3D Inference Inputs",
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SAVE3D: "Runware Save 3D",
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};
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const RUNWARE_NODE_PROPS = {
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@@ -425,6 +428,18 @@ const RUNWARE_NODE_PROPS = {
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bgColor: DEFAULT_BGCOLOR,
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colorModeOnly: true,
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},
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[RUNWARE_NODE_TYPES.THREEDINFERENCE]: {
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bgColor: DEFAULT_BGCOLOR,
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promptEnhancer: true,
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},
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[RUNWARE_NODE_TYPES.THREEDINFERENCEINPUTS]: {
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bgColor: DEFAULT_BGCOLOR,
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colorModeOnly: true,
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},
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[RUNWARE_NODE_TYPES.SAVE3D]: {
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bgColor: DEFAULT_BGCOLOR,
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colorModeOnly: true,
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},
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};
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export {
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@@ -70,6 +70,31 @@ function mediaUUIDHandler(msgEvent) {
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return false;
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}
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function save3DFilepathHandler(msgEvent) {
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const data = msgEvent.detail;
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const filepath = data.filepath;
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const nodeID = parseInt(data.nodeID, 10);
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if (Number.isNaN(nodeID)) return false;
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if(data.success && filepath) {
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const node = app.graph.getNodeById(nodeID);
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if(node !== null && node !== undefined) {
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const filepathWidget = node.widgets.find(widget => widget.name === "filepath");
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if(filepathWidget) {
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if(filepathWidget.value !== undefined) {
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filepathWidget.value = filepath;
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}
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if(filepathWidget.inputEl) {
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filepathWidget.inputEl.value = filepath;
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filepathWidget.inputEl.dispatchEvent(new Event('input', { bubbles: true }));
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filepathWidget.inputEl.dispatchEvent(new Event('change', { bubbles: true }));
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}
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}
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}
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}
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return false;
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}
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function captionNodeHandler(msgEvent) {
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const captionData = msgEvent.detail;
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const captionText = captionData.captionText;
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@@ -3193,6 +3218,7 @@ export {
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syncDimensionsNodeHandler,
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searchNodeHandler,
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mediaUUIDHandler,
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save3DFilepathHandler,
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captionNodeHandler,
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videoTranscriptionHandler,
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videoOutputsHandler,
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@@ -0,0 +1,125 @@
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from .utils import runwareUtils as rwUtils
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import folder_paths
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import os
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import re
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import requests
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from datetime import datetime
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class RunwareSave3D:
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"""Runware Save 3D node for saving 3D model files from URL"""
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"3dObject": ("STRING", {
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"tooltip": "3D file URL from Runware 3D Inference node."
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}),
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"filename_prefix": ("STRING", {
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"default": "ComfyUI",
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"tooltip": "Prefix for the filename."
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}),
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},
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"optional": {
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"filepath": ("STRING", {
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"placeholder": "Saved file path will appear here after execution.",
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"tooltip": "This field is automatically populated with the saved file path after save.",
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}),
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},
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"hidden": {"node_id": "UNIQUE_ID"},
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("filepath",)
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FUNCTION = "save_3d"
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OUTPUT_NODE = True
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CATEGORY = "Runware"
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DESCRIPTION = "Save 3D model files (GLB/PLY) from Runware 3D Inference to the output folder."
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def save_3d(self, **kwargs):
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"""Save 3D file from URL"""
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file_url = kwargs.get("3dObject", "")
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filename_prefix = kwargs.get("filename_prefix", "ComfyUI")
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if not file_url or not file_url.strip():
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raise Exception("No 3D URL provided. Please connect the '3dObject' output from Runware 3D Inference node.")
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file_url = file_url.strip()
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# Get output directory
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output_dir = folder_paths.get_output_directory()
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threed_output_dir = os.path.join(output_dir, "3d_models")
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os.makedirs(threed_output_dir, exist_ok=True)
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# Get extension from URL (handle query parameters)
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url_without_params = file_url.split('?')[0]
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extension = url_without_params.split('.')[-1].lower()
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if extension not in ["glb", "ply"]:
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raise Exception(f"Unsupported 3D file extension '{extension}' from URL. Expected .glb or .ply.")
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# Sanitize filename_prefix to prevent path traversal or arbitrary subdir creation
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prefix_basename = os.path.basename(
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filename_prefix.replace(os.sep, "_").replace(os.altsep or os.sep, "_")
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)
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safe_prefix = re.sub(r"[^\w\-]", "", prefix_basename) or "ComfyUI"
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# Generate filename with timestamp
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"{safe_prefix}_{timestamp}.{extension}"
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filepath = os.path.join(threed_output_dir, filename)
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# Download with retry logic
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max_retries = 10
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retry_delays = [2, 5, 10, 15, 20]
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for attempt in range(max_retries):
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try:
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response = requests.get(file_url, stream=True, timeout=60)
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print(f"[Runware Save 3D] Download attempt {attempt + 1}: {response.status_code}")
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if response.status_code == 422:
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print(f"[Runware Save 3D] Server still processing, waiting...")
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rwUtils.time.sleep(retry_delays[min(attempt, len(retry_delays) - 1)])
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continue
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if response.status_code == 502:
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print(f"[Runware Save 3D] Server error (502), retrying...")
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rwUtils.time.sleep(retry_delays[min(attempt, len(retry_delays) - 1)])
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continue
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response.raise_for_status()
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with open(filepath, 'wb') as f:
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for chunk in response.iter_content(chunk_size=8192):
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f.write(chunk)
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print(f"[Runware Save 3D] Successfully saved to: {filepath}")
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# Send filepath to UI (like media upload mediaUUID)
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rwUtils.sendSave3DFilepath(filepath, kwargs.get("node_id"))
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return {"result": (filepath,), "ui": {"text": (f"Saved: {filename}",)}}
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except requests.exceptions.RequestException as e:
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print(f"[Runware Save 3D] Attempt {attempt + 1} failed: {e}")
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if attempt < max_retries - 1:
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rwUtils.time.sleep(retry_delays[min(attempt, len(retry_delays) - 1)])
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continue
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else:
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raise Exception(f"Failed to download 3D file after {max_retries} attempts: {e}")
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except Exception as e:
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print(f"[Runware Save 3D] Unexpected error: {e}")
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raise Exception(f"Failed to save 3D file: {e}")
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raise Exception("Failed to download 3D file: max retries exceeded")
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NODE_CLASS_MAPPINGS = {
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"RunwareSave3D": RunwareSave3D,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"RunwareSave3D": "Runware Save 3D",
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}
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@@ -0,0 +1,178 @@
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from .utils import runwareUtils as rwUtils
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import comfy.model_management
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class threeDInference:
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"""Runware 3D Inference node for generating 3D models from images"""
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# Available 3D models
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THREED_MODELS = {
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"Meta SAM 3D": "meta:sam@3d",
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}
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# Output formats
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OUTPUT_FORMATS = ["GLB", "PLY"]
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"Model": (list(cls.THREED_MODELS.keys()), {
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"tooltip": "Select the 3D generation model to use.",
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"default": "Meta SAM 3D",
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}),
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"positivePrompt": ("STRING", {
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"multiline": True,
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"placeholder": "Describe the 3D object you want to generate...",
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"tooltip": "A text prompt describing the 3D object to generate."
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}),
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"seed": ("INT", {
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"tooltip": "Seed for reproducibility. Use the same seed to get the same result.",
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"default": 1,
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"min": 1,
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"max": 2147483647,
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}),
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"outputFormat": (cls.OUTPUT_FORMATS, {
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"tooltip": "Output format for the 3D model file.",
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"default": "GLB",
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}),
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},
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"optional": {
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"inputs": ("RUNWARE3DINFERENCEINPUTS", {
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"tooltip": "Connect a Runware 3D Inference Inputs node to provide image and mask inputs.",
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}),
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},
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}
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DESCRIPTION = "Generate 3D models from images using Runware's 3D Inference API. Connect the output to 'Runware Save 3D' node to save the file."
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FUNCTION = "generate3D"
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("3dObject",)
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CATEGORY = "Runware"
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def generate3D(self, **kwargs):
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"""Generate 3D model from inputs"""
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modelName = kwargs.get("Model", "Meta SAM 3D")
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positivePrompt = kwargs.get("positivePrompt", "")
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seed = kwargs.get("seed", 1)
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outputFormat = kwargs.get("outputFormat", "GLB")
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inputs = kwargs.get("inputs", None)
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# Get model AIR code
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model = self.THREED_MODELS.get(modelName, "meta:sam@3d")
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# Build generation config
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genConfig = [
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{
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"taskType": "3dInference",
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"taskUUID": rwUtils.genRandUUID(),
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"model": model,
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"numberResults": 1,
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"outputType": "URL",
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"includeCost": True,
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"deliveryMethod": "async",
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"outputFormat": outputFormat,
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}
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]
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# Add positivePrompt if provided
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if positivePrompt and positivePrompt.strip() != "":
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genConfig[0]["positivePrompt"] = positivePrompt.strip()
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# Add seed
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genConfig[0]["seed"] = seed
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# Handle inputs from 3D Inference Inputs node
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if inputs is not None and isinstance(inputs, dict) and len(inputs) > 0:
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genConfig[0]["inputs"] = inputs
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try:
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print(f"[DEBUG] Sending 3D Inference Request:")
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print(f"[DEBUG] Request Payload: {rwUtils.safe_json_dumps(genConfig, indent=2)}")
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# Send initial request
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genResult = rwUtils.inferenecRequest(genConfig)
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print(f"[DEBUG] Received 3D Inference Response:")
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print(f"[DEBUG] Response: {rwUtils.safe_json_dumps(genResult, indent=2)}")
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except Exception as e:
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raise
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# Extract task UUID for polling
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taskUUID = genConfig[0]["taskUUID"]
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# Poll for 3D generation completion
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while True:
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# Check for interrupt before each poll
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comfy.model_management.throw_exception_if_processing_interrupted()
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# Poll for result
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pollResult = rwUtils.pollVideoResult(taskUUID) # Reuse existing poll function
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print(f"[Debugging] Poll result: {rwUtils.safe_json_dumps(pollResult, indent=2) if isinstance(pollResult, (dict, list)) else pollResult}")
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# Check for errors
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if pollResult and "errors" in pollResult and len(pollResult["errors"]) > 0:
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error_info = pollResult["errors"][0]
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error_message = error_info.get("message", "Unknown error")
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if "responseContent" in error_info:
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response_content = error_info["responseContent"]
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if isinstance(response_content, str):
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detailed_message = response_content
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elif isinstance(response_content, dict):
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detailed_message = response_content.get("message", str(response_content))
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else:
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detailed_message = str(response_content)
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if detailed_message:
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error_message = f"{error_message}\nProvider Error: {detailed_message}"
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task_uuid = error_info.get("taskUUID", "unknown")
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raise Exception(f"3D generation failed (Task: {task_uuid}): {error_message}")
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# Check for successful completion
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if pollResult and "data" in pollResult and len(pollResult["data"]) > 0:
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data = pollResult["data"][0]
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# Check if outputs.files exists (3D inference response format)
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outputs = data.get("outputs", {})
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files = outputs.get("files", [])
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if len(files) > 0:
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file_info = files[0]
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file_url = file_info.get("url", "")
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if file_url:
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print(f"[3D Inference] Generated 3D file URL: {file_url}")
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return (file_url,)
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# Check status if available
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if "status" in data:
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status = data["status"]
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if status == "success":
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# Try alternative response format
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if "outputs" in data and "files" in data["outputs"]:
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files = data["outputs"]["files"]
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if len(files) > 0:
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file_url = files[0].get("url", "")
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if file_url:
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print(f"[3D Inference] Generated 3D file URL: {file_url}")
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return (file_url,)
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# Check for interrupt before waiting
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||||
comfy.model_management.throw_exception_if_processing_interrupted()
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||||
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||||
# Wait before next poll
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||||
for _ in range(10): # 10 x 0.1 second = 1 second total
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comfy.model_management.throw_exception_if_processing_interrupted()
|
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rwUtils.time.sleep(0.1)
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||||
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NODE_CLASS_MAPPINGS = {
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"Runware3DInference": threeDInference,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Runware3DInference": "Runware 3D Inference",
|
||||
}
|
||||
@@ -0,0 +1,49 @@
|
||||
from .utils import runwareUtils as rwUtils
|
||||
|
||||
|
||||
class threeDInferenceInputs:
|
||||
"""3D Inference Inputs node for configuring 3D generation inputs"""
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
return {
|
||||
"required": {},
|
||||
"optional": {
|
||||
"image": ("IMAGE", {
|
||||
"tooltip": "Input image for 3D inference. This image will be used as the source for generating the 3D model."
|
||||
}),
|
||||
"mask": ("IMAGE", {
|
||||
"tooltip": "Optional mask image to specify a region of interest in the input image for 3D generation."
|
||||
}),
|
||||
}
|
||||
}
|
||||
|
||||
DESCRIPTION = "Configure custom inputs for Runware 3D Inference, including image and mask inputs."
|
||||
FUNCTION = "createInputs"
|
||||
RETURN_TYPES = ("RUNWARE3DINFERENCEINPUTS",)
|
||||
RETURN_NAMES = ("Inputs",)
|
||||
CATEGORY = "Runware"
|
||||
|
||||
def createInputs(self, **kwargs):
|
||||
"""Create 3D inference inputs from provided parameters"""
|
||||
image = kwargs.get("image", None)
|
||||
mask = kwargs.get("mask", None)
|
||||
|
||||
inputs = {}
|
||||
|
||||
if image is not None:
|
||||
inputs["image"] = rwUtils.convertTensor2IMG(image)
|
||||
|
||||
if mask is not None:
|
||||
inputs["mask"] = rwUtils.convertTensor2IMG(mask)
|
||||
|
||||
return (inputs,)
|
||||
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"Runware3DInferenceInputs": threeDInferenceInputs,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Runware3DInferenceInputs": "Runware 3D Inference Inputs",
|
||||
}
|
||||
@@ -295,6 +295,18 @@ def sendMediaUUID(mediaUUID, nodeID):
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
def sendSave3DFilepath(filepath, nodeID):
|
||||
PromptServer.instance.send_sync(
|
||||
"runwareSave3DFilepath",
|
||||
{
|
||||
"success": True,
|
||||
"filepath": filepath,
|
||||
"nodeID": nodeID,
|
||||
"widgetName": "filepath",
|
||||
},
|
||||
)
|
||||
|
||||
def sendImageCaption(captionText, nodeID):
|
||||
PromptServer.instance.send_sync(
|
||||
"runwareImageCaption",
|
||||
|
||||
@@ -0,0 +1 @@
|
||||
{"id":"4f919008-d74f-4dcb-baaa-c9f3e0cfce69","revision":0,"last_node_id":10,"last_link_id":6,"nodes":[{"id":4,"type":"LoadImage","pos":[-102.60188293457031,287.9990234375],"size":[274.080078125,314],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"image","name":"image","type":"COMBO","widget":{"name":"image"},"link":null},{"localized_name":"choose file to upload","name":"upload","type":"IMAGEUPLOAD","widget":{"name":"upload"},"link":null}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","links":[3]},{"localized_name":"MASK","name":"MASK","type":"MASK","links":null}],"properties":{"cnr_id":"comfy-core","ver":"0.3.46","Node name for S&R":"LoadImage"},"widgets_values":["hat.png","image"]},{"id":2,"type":"Runware 3D Inference Inputs","pos":[-49.6855354309082,709.256591796875],"size":[222.00253295898438,46],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"image","name":"image","shape":7,"type":"IMAGE","link":3},{"localized_name":"mask","name":"mask","shape":7,"type":"IMAGE","link":null}],"outputs":[{"localized_name":"Inputs","name":"Inputs","type":"RUNWARE3DINFERENCEINPUTS","links":[2]}],"properties":{"cnr_id":"ComfyUI-Runware","ver":"938185cd42fdc0a25095c8e72ba42fdcef10913e","Node name for S&R":"Runware 3D Inference Inputs"},"widgets_values":[],"bgcolor":"#5345bf"},{"id":7,"type":"Runware Save 3D","pos":[680.3914794921875,391.1221618652344],"size":[234.08380126953125,123.42192840576172],"flags":{},"order":3,"mode":0,"inputs":[{"localized_name":"3dObject","name":"3dObject","type":"STRING","widget":{"name":"3dObject"},"link":4},{"localized_name":"filename_prefix","name":"filename_prefix","type":"STRING","widget":{"name":"filename_prefix"},"link":null},{"localized_name":"filepath","name":"filepath","shape":7,"type":"STRING","widget":{"name":"filepath"},"link":null}],"outputs":[{"localized_name":"filepath","name":"filepath","type":"STRING","links":[]}],"properties":{"cnr_id":"ComfyUI-Runware","ver":"ff6b7d8ad4471836cfbf1637e1ee1e24fe20bc48","Node name for S&R":"Runware Save 3D"},"widgets_values":["","ComfyUI","/Users/sirshenduganguly/Downloads/Runware-codebase/ComfyUI/output/3d_models/ComfyUI_20260130_101951.glb"],"bgcolor":"#5345bf"},{"id":1,"type":"Runware 3D Inference","pos":[215.56109619140625,360.20306396484375],"size":[400,200],"flags":{},"order":2,"mode":0,"inputs":[{"localized_name":"inputs","name":"inputs","shape":7,"type":"RUNWARE3DINFERENCEINPUTS","link":2},{"localized_name":"Model","name":"Model","type":"COMBO","widget":{"name":"Model"},"link":null},{"localized_name":"positivePrompt","name":"positivePrompt","type":"STRING","widget":{"name":"positivePrompt"},"link":null},{"localized_name":"seed","name":"seed","type":"INT","widget":{"name":"seed"},"link":null},{"localized_name":"outputFormat","name":"outputFormat","type":"COMBO","widget":{"name":"outputFormat"},"link":null}],"outputs":[{"localized_name":"3dObject","name":"3dObject","type":"STRING","links":[4]}],"properties":{"cnr_id":"ComfyUI-Runware","ver":"938185cd42fdc0a25095c8e72ba42fdcef10913e","Node name for S&R":"Runware 3D Inference"},"widgets_values":["Meta SAM 3D","a hat",1383646106,"randomize","PLY"],"bgcolor":"#5345bf"}],"links":[[2,2,0,1,0,"RUNWARE3DINFERENCEINPUTS"],[3,4,0,2,0,"IMAGE"],[4,1,0,7,0,"STRING"]],"groups":[],"config":{},"extra":{"ds":{"scale":0.6830134553650705,"offset":[565.2445846003944,-50.69034697604053]}},"version":0.4}
|
||||
Reference in New Issue
Block a user