Qwen-Image-2512 Abliterated Text Encoder

Abliterated text encoder for the Qwen Image 2512 diffusion pipeline. Refusal behavior removed via activation-based weight surgery, allowing the diffusion model to generate content the original encoder would refuse to condition on.

This repo contains the weights in standard multi-shard transformers format. For a single-file version that works in both ComfyUI and musubi-tuner, see:

➡️ sci4ai/Qwen-Image-2512-Ablit-TE-For-Musubi-Lora-Training

ComfyUI Usage

Place the file(s) in ComfyUI/models/text_encoders/ and load with a standard CLIP loader node — no T5/CLIP split required.

Recommended launch flag:

python main.py --fp8_e4m3_text_encoder

FP8 E4M3 quantization is applied to the text encoder at load time, significantly reducing VRAM usage with minimal quality loss. This is recommended over using a pre-quantized FP8 cast file, which can introduce inference instability.

Related Models

sci4ai/Qwen-Image-2512-Abliterated-Full — Full pipeline weights

Disclaimer

This model is provided for research purposes. Users are responsible for how they use this model.

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