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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-VL-7B-Instruct
+tags:
+  - abliterated
+  - text-encoder
+  - qwen2.5-vl
+  - comfyui
+---
+
+# 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](https://huggingface.co/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:**
+
+```bash
+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](https://huggingface.co/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.