ToriiGate 0.5 is a Qwen3.5 vision fine-tune trained on a single system prompt
and a single query structure, and it degrades on anything else. The shared qwen
handler strips angle brackets and underscores from the question, which mangles
the model's format templates, and the generic caption instructions are not what
it was trained on.
- hold the model's caption formats, system prompt and query builder in modules/caption/toriigate.py
- build the system prompt and user query from those templates in the qwen handler
- offer the native formats in the task dropdown and in the caption api prompt groups
- drop Normal Caption for this model, which has no format between short and long
- add to prompt enhance models, img2img, and models_cls
- add to vlm/caption models
- update _load_gemma class selection for gemma 4
- bump transformers pin to 5.5.0.dev for gemma4 architecture support
CalamitousFelicitousness
Vladimir Mandic