Qwen 3.5 for Moss Image (Uncensored)

• On moss image using Turbo lora this LLM improved duplicate limbs and other abnormality's vs Comfy Quant INT8

• On moss image vs comfy quants this model improved both color and detail.

• This model was both trained on chain of thought and has had quantization prediction (QP)

Note on LLM:

This model was trained in BF16/TF32 with Adam on Chain of Thought ONLY This model shows a massive increase in uncensored and unfiltered results without any direct image to text training or assistance response training. In testing around 5 out of every 100 images would return with the censored result. Compared to 98 out of 100 returning censored on the untrained model.

QP

Quantitation prediction allows for BF16 to FP32 conversion improvement of 50% of values vs direct casting or gradient estimation alone. (QP Model was trained at FP64)