- Added KlingAI 6@1 (KlingAI 2.5 Turbo Pro) to video models
- Fixed frame images to always use base64 data URIs (not UUIDs)
- Added convertTensor2IMGBase64Only function for consistent frame image handling
- Fixed videoInputsFrame to use correct 'inputImage' key
- Updated API endpoint from runware.dev to runware.ai
- Ensured both frameImages.py and videoInputsFrame.py use consistent format
- Added new Bria provider settings for Background Replace feature (bria:11@1)
- Implemented 5 new parameters: mode, enhanceReferenceImages, refinePrompt, originalQuality, forceBackgroundDetection
- Added useParams for all 12 Bria parameters to control parameter inclusion
- Implemented UI enable/disable toggle handler for better UX
- Updated clientlibs to handle Bria provider settings in UI
- Added workflow examples and model search updates
- 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
- Added OpenAI Sora 3.0 and 3.1 models to video inference (openai:3@0, openai:3@1)
- Added OpenAI architecture to video model search dropdown
- Improved video inference error handling to properly display API error messages
- Replaced hardcoded seed support with flexible useSeed parameter in video inference
- Added selectable output format (WEBP, PNG, JPEG, SVG) to image inference UI
- Updated parameter order: useSeed, seed for better UX consistency
- Removed SEED_SUPPORTED_MODELS hardcoded list for better flexibility
Sirshendu Ganguly