Instructions to use Fasx007/Fasxxx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fasx007/Fasxxx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("abenzerps/Qwen-Image-2.1-Uncensored-Quantized", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Fasx007/Fasxxx") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Caf

- Prompt
- -
Model description
Bzbsnskk
Trigger words
You should use Bzbsnsk to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- -
Model tree for Fasx007/Fasxxx
Base model
Qwen/Qwen-Image-2.1 Finetuned
Qwen/Qwen-Image-2.1-Turbo Quantized
abenzerps/Qwen-Image-2.1-Turbo-Quantized