Instructions to use singelette/Zepicrealism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use singelette/Zepicrealism 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("singelette/Zepicrealism") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/ComfyUI_temp_nvcbf_00002_.png
text: '-'
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: null
license: apache-2.0
zepic realism

- Prompt
- -
Download model
Download them in the Files & versions tab.