Update README.md

README.md

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 ---
 license: apache-2.0
-language:
-- en
-base_model:
-- black-forest-labs/FLUX.1-dev
-new_version: black-forest-labs/FLUX.1-dev
-pipeline_tag: text-to-image
-library_name: diffusers
-tags:
-- art
----
-### Model Card for FLUX.1 [dev] Abliterated
-
-![Thumbnail](a_cute_girl_wearing_sunglasses,_half-naked,_GTA-st.png)
-
-#### Model Overview
-**Model Name:** FLUX.1 [dev] Abliterated  
-**Model Type:** Text-to-Image Generation  
-**Architecture:** Rectified Flow Transformer  
-**Parameter Size:** 12 Billion  
-**Base Model:** FLUX.1 [dev]  
-**Modification:** Abliteration (Removal of Refusal Mechanism)  
-
-#### Description
-The **FLUX.1 [dev] Abliterated** model is a modified version of the original FLUX.1 [dev] text-to-image generation model. This version has undergone a process called **abliteration**, which removes the model's built-in refusal mechanism. This allows the model to respond to a wider range of prompts, including those that the original model might have deemed inappropriate or harmful. 
-
-The abliteration process involves identifying and isolating the specific components of the model responsible for refusal behavior and then modifying or ablating those components. This results in a model that is more flexible and responsive, while still maintaining the core capabilities of the original FLUX.1 [dev] model.
-
-#### Architecture
-
-![Architecture](flux.png)
-
-#### Usage
-To use the FLUX.1 [dev] Abliterated model, you can load it via Hugging Face and generate images using the following code:
-
-```python
-import torch
-from diffusers import AutoPipelineForText2Image
-
-# Load the abliterated model
-pipeline = AutoPipelineForText2Image.from_pretrained(
-    "aoxo/flux.1dev-abliterated",
-    torch_dtype=torch.float16,
-    token='your_hf_token'
-).to('cuda')
-
-# Generate an image from a text prompt
-prompt = 'A girl in bikinis sipping on a margarita'
-image = pipeline(prompt).images[0]
-
-# Display the image
-image.show()
-```
-
-#### Training Data
-The FLUX.1 [dev] Abliterated model is based on the original FLUX.1 [dev] model, which was trained on a diverse dataset of text-image pairs. The training data includes a wide range of visual and textual content, ensuring that the model can generate images for a variety of prompts.
-
-#### License
-The FLUX.1 [dev] Abliterated model is released under the same **FLUX.1 [dev] Non-Commercial License** as the original model. This license allows for personal, scientific, and commercial use, with certain restrictions. Please review the license terms before using the model in your projects.
-
-#### Citation
-If you use the FLUX.1 [dev] Abliterated model in your research or projects, please cite the original FLUX.1 [dev] model and the abliteration process as described in the blog post by Aloshdenny.
-
-```bibtex
-@misc{flux1dev,
-  author = {Flux Team},
-  title = {FLUX.1 [dev]: A 12 Billion Parameter Rectified Flow Transformer},
-  year = {2023},
-  howpublished = {\url{https://huggingface.co/aoxo/flux.1dev}},
-}
-
-@misc{flux1dev-abliterated,
-  author = {aoxo},
-  title = {Uncensoring Flux.1 Dev: Abliteration},
-  year = {2025},
-  howpublished = {\url{https://medium.com/@aloshdenny/uncensoring-flux-1-dev-abliteration-bdeb41c68dff}},
-}
-```
-
-#### Contact
-For questions, feedback, or collaboration opportunities, please contact the Flux Team at [contact@flux.ai](mailto:contact@flux.ai).
-
----