Model Name: FLUX.1 [dev] Abliterated-v2 Model Type: Text-to-Image Generation Architecture: Rectified Flow Transformer Parameter Size: 12 Billion Base Model: FLUX.1 [dev] Modification: Abliteration via Unlearning (Removal of Refusal Mechanism)
Description
The FLUX.1 [dev] Abliterated-v2 model is a modified version of FLUX.1 [dev] and a successor to FLUX.1 [dev] Abliterated. This version has undergone a process called unlearning, 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
Usage
To use the FLUX.1 [dev] Abliterated model, you can load it via Hugging Face and generate images using the following code:
python
1import torch
2from diffusers import AutoPipelineForText2Image
34# Load the abliterated model5pipeline = AutoPipelineForText2Image.from_pretrained(6"aoxo/flux.1dev-abliteratedv2",7 torch_dtype=torch.float16,8 token='your_hf_token'9).to('cuda')1011# Generate an image from a text prompt12prompt ='A group of girls in bikinis playing orchestra'13image = pipeline(prompt).images[0]1415# Display the image16image.show()
Training Data
The FLUX.1 [dev] Abliteratedv2 model is based on the original FLUX.1 [dev] model and the original Abliterated. 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] Abliteratedv2 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] Abliteratedv2 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
1@misc{flux1dev,
2 author = {Flux Team},
3 title = {FLUX.1 [dev]: A 12 Billion Parameter Rectified Flow Transformer},
4 year = {2023},
5 howpublished = {\url{https://huggingface.co/aoxo/flux.1dev}},
6}
78@misc{flux1dev-abliterated,
9 author = {aoxo},
10 title = {Unlearning Flux.1 Dev: Abliteration-v2},
11 year = {2025},
12 howpublished = {\url{https://medium.com/@aloshdenny/unlearning-flux-1-dev-abliteration-v2-52af88ed60b5}},
13}
Contact
For questions, feedback, or collaboration opportunities, please contact the Flux Team at contact@flux.ai.
