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Version 1.5.0 - Prompt Manager & Emotion Storage

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@FranckyB FranckyB released this 10 Feb 06:35
· 66 commits to main since this release
v1.5.0
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Version 1.5.0 - Prompt Manager & Emotion Storage

Prompt Manager

  • New Prompt Manager Tool - Save, browse, and generate text prompts with a built-in LLM generator powered by llama.cpp
  • Saved Prompts - Store prompts in a local prompts.json file with save, delete, and clear functionality
  • LLM Generation - Generate prompts locally using Qwen3-4B or Qwen3-8B GGUF models via llama.cpp (no cloud API)
  • System Prompt Presets - Built-in presets for TTS/Voice and Sound Design/SFX workflows, plus a custom option
  • Model Auto-Download - Download Qwen3 models directly from HuggingFace into models/llama/
  • Custom Models - Drop any .gguf file into models/llama/ to use your own models
  • Automatic Server Management - llama.cpp server starts/stops automatically, cleaned up on exit or Clear VRAM

Standalone Emotion Storage

  • Standalone emotions.json - Emotion presets are now stored in a dedicated emotions.json file instead of inside config.json
  • Automatic Migration - Existing emotions in config.json are automatically migrated to the new file on first launch
  • Independent Reset - Resetting config.json no longer wipes saved emotion presets

Quality of Life

  • Clear VRAM Stops LLM - The Clear VRAM button now also shuts down the llama.cpp server if running
  • SFX Filename Simplification - Sound effect filenames now use the first 8 words of the prompt instead of 40-char truncation with timestamp

Sound Effects (MMAudio)

  • New Sound Effects Tool - Generate sound effects and ambient audio using MMAudio (CVPR 2025, MIT license), supporting both text-to-audio and video-to-audio modes
  • Text-to-Audio - Describe any sound and generate 44.1kHz audio with adjustable duration, guidance strength, and negative prompts
  • Video-to-Audio - Drop in a video clip and MMAudio generates matching sound effects synchronized to the visual content
  • Multiple Model Sizes - Choose between Medium (2.4GB) and Large v2 (3.9GB) built-in models, with support for custom models
  • Custom Model Support - Load your own .pth or .safetensors MMAudio checkpoints with automatic architecture detection
  • Video Preview - Source/Result toggle to compare original video against the generated audio-muxed result
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