JunLee88999/Qwen3-4b-Z-Image-Turbo-AbliteratedV1
JunLee88999/Qwen3-4b-Z-Image-Turbo-AbliteratedV1 is a 4 billion parameter text encoder based on the Tongyi-MAI/Z-Image-Turbo architecture, fine-tuned to significantly reduce refusal rates for image generation and general prompts. Utilizing a 'p-e-w heretic method' over 1000 trials, it achieves a minimal KL Divergence of 0.0004 and a refusal rate of only 4% in torture tests. This model is specifically optimized for generating desired content without censorship, making it suitable for applications requiring unrestricted creative output.
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Qwen3-4b-Z-Image-Turbo-AbliteratedV1: Unrestricted Image Generation
This model, developed by JunLee88999, is an "abliterated" version of the Tongyi-MAI/Z-Image-Turbo text encoder, designed to overcome content refusal mechanisms. It focuses on enabling users to generate images and text without encountering common censorship or refusal messages from the model.
Key Capabilities
- Censorship Removal: Specifically engineered to bypass both image generation refusals and general prompt refusals.
- High Fidelity: Achieves a very low KL Divergence of
0.0004, indicating minimal alteration to the base model's original capabilities while removing restrictions. - Low Refusal Rate: Demonstrated a refusal rate of only
4/100during extensive testing, ensuring high compliance with user prompts. - Versatile Quantizations: Available in various GGUF formats, ranging from full precision (F16) to highly compressed (Q2_K), allowing for flexible deployment across different hardware configurations.
Good For
- Developers and creators who require an image generation model with significantly reduced content restrictions.
- Applications where creative freedom and prompt compliance are paramount.
- Experimentation with model behavior regarding safety filters and content generation.
This model is intended for users who understand and accept responsibility for the content they generate, emphasizing user autonomy in creative processes.