v1.0.9 - Local GGUF Discovery Expansion, mmproj Filtering, and Qwen/Wan Prompt Quality Improvements

Highlights

This release focuses on four major areas:

• Expanded local GGUF model discovery
• Safer and more intuitive mmproj selection
• Improved Qwen / Wan prompt rewriting quality
• Better robustness for text-only and image-to-video workflows

What Changed

Local GGUF model discovery

• Expanded local Qwen-family GGUF model search paths
• Added models/text_encoders and all subdirectories under both models/LLM and models/text_encoders to the search paths
• Centralized local model path and mmproj path resolution in local_gguf_utils.py
• Reduced duplicated path-handling logic across nodes

mmproj handling and model selection

• Added UI-side mmproj filtering so only mmproj files in the same directory as the selected model are shown
• Improved mmproj resolution behavior for local models
• Explicitly forces text-only mode when mmproj = (Not required) is selected
• Prevents unnecessary or incorrect Vision handler usage in text-only workflows
• Improves safety when switching between local model configurations

Prompt rewriting quality

• Added dedicated system prompt flows for:
  • qwen_image
  • qwen_image_edit
  • wan_t2v
  • wan_i2v
• Strengthened prompt instructions so outputs are more likely to contain only the final prompt body
• Reduced verbose analysis-style or heading-based outputs
• Added a second-pass Simplified Chinese normalization flow when Chinese output is requested but another language is returned
• Preserves quoted text during second-pass normalization to avoid breaking user-specified text
• Improved Qwen2.5-VL behavior in Qwen Image Edit Prompt Generator by fixing system prompt application issues

Node behavior and robustness

• Qwen-Image can now be used without an image input for text-only prompt generation
• Local text-only Qwen-Image runs no longer require mmproj
• Increased local inference max_tokens and n_ctx for longer prompt generation
• Added explicit validation for missing image input in Image-to-Video mode
• Improved output control for Wan prompt generation in Chinese-targeted workflows

Upgrade Notes

• After upgrading, you may need to reselect your GGUF model and mmproj file once
• This is because internal model path handling changed with the expanded search paths
• If you use local GGUF models, verify that the selected mmproj still matches the model directory
• Users of Qwen Image Edit Prompt Generator with Qwen2.5-VL should see improved output quality in this release

Notes

• Vision behavior still depends on the installed llama-cpp-python build and backend environment
• Some models may still show different output quality depending on whether they are used locally or via API
• Chinese-targeted prompt generation should now be more stable, but final output quality still depends on model behavior