- Use librosa instead of torchaudio for mediaStorage
- Created dedicated toggle handlers for Image Inference, Video Inference, Upscaler, Audio Inference, Accelerator Options, Bytedance Provider Settings, and OpenAI Provider Settings
- Fixed Audio Inference widget ordering (use parameters now appear before their corresponding parameters)
- All handlers use the same proven pattern from videoInferenceDimensionsHandler
- Improved widget disabling/enabling functionality across all nodes
- 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
- Add Runware Video Background Removal node with Bria support
- Add Runware Video Upscaler node with Bria support
- Add Runware Vectorize node for image vectorization
- Add Lightricks Provider Settings node
- Add Video Inference Inputs node for structured inputs
- Add Input Audios and Reference Videos nodes
- Update video inference with speech support and reference videos
- Add new video models: OmniHuman 1/1.5, PixVerse LipSync, LTX
- Update Bytedance provider settings with boolean controls
- Add corresponding workflow examples
- Created new Runware Media Upload custom node
- Supports VIDEO and AUDIO inputs from ComfyUI load nodes
- Handles ComfyUI VideoFromFile objects properly
- Implements real-time mediaUUID display in node UI
- Added proper error handling and debug logging
- Applied consistent Runware node styling
- Includes example workflow
- Created new Bria provider settings node with 6 parameters:
- medium: photography/art selection
- promptEnhancement: enhance prompts for more creative outputs
- enhanceImage: generate images with richer details
- promptContentModeration: scan prompts for NSFW terms
- contentModeration: moderate inputs and outputs
- ipSignal: flag prompts with potential IP content
- Registered node in __init__.py
- Category: Runware/Provider Settings
- Create new 'Runware Vidu Provider Settings' node
- Support Vidu-specific parameters: bgm, style, movementAmplitude
- Add template configuration with name, area, and beast parameters
- Integrate with video inference workflows via RUNWAREPROVIDERSETTINGS
- Add to node mappings and frontend configuration
- Provide comprehensive Vidu video generation control
- Add RunwareAudioInference node for text-to-audio generation
- Add RunwareAudioModelSearch node for audio model selection
- Add RunwareAudioSections node for music composition structure
- Add RunwareElevenLabsProviderSettings node for advanced music generation
- Add conditional parameter logic for positivePrompt and duration
- Add debug logging for API error responses
- Added provider settings and reference images support to image inference
- Created Runware Bytedance Provider Settings node with cameraFixed and maxSequentialImages
- Updated image inference to handle provider settings and reference images
- Added debug logging for request/response tracking
- Increased timeout from 90 to 180 seconds
- Fixed parameter handling for conditional inclusion
- Convert useSteps, useCFGScale, useScheduler, useSeed to BOOLEAN in ImageInference
- Convert useFps to BOOLEAN in VideoInference
- Reorder parameters so 'use' toggles appear above their corresponding parameters
- Fix VideoInference providerSettings input type from DICT to RUNWAREPROVIDERSETTINGS
- Update provider settings handling logic to match ImageInference format
- Improve UX with native boolean toggles and logical parameter ordering
- Add Runware Video Inference node with frame images and reference images support
- Add conditional parameter support for steps and CFG scale in image inference
- Add useFps parameter for video inference with enable/disabled options for Vidu support
Sirshendu Ganguly