Instructions to use ovedrive/Qwen-Image_unbias with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/Qwen-Image_unbias with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovedrive/Qwen-Image_unbias", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
This is an uncensored mixed model for Qwen-Image that uses abliteration.
Current Abliterations
- Text Encoder and Vision Qwen-VL
Abliterated text encoder has resulted in some speed gains and fewer steps. There is no self censoring in the transformer as far as I could tell.
visit https://justlab.ai and use contact form to request our models as API.
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Model tree for ovedrive/Qwen-Image_unbias
Base model
Qwen/Qwen-Image