Instructions to use danrhern/XUPLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danrhern/XUPLX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("danrhern/XUPLX") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/ComfyUI_temp_bxtpa_00169_.png
text: '-'
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: XUPLX
license: apache-2.0
XUPLX_UglyPeopleLoRA

- Prompt
- -
Model description
XUPLX_UglyPeopleLoRA is intended to break up the monotony of ZImageTurbo output by forcing interesting compositions, character designs, camera angles, action and other attributes into the output image.
Use XUPLX_UglyPeopleLoRA with the XUPLX Merge Workflow for ZImageTurbo to merge multiple image generations into a single composition with full control.
https://civitai.com/models/2221102/xuplx-merge-workflow
Trigger words
You should use XUPLX to trigger the image generation.
Download model
Download them in the Files & versions tab.