Instructions to use LennOFF/realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LennOFF/realistic 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LennOFF/realistic") prompt = "aa" 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/hf_20260214_195823_06463afa-e516-47f0-b726-f5a3c6edfd20.png
text: aa
- output:
url: images/hf_20260214_153025_1357c424-e7ac-4133-87d4-76db12367fe0.png
text: '-'
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: null
realistic

- Prompt
- aa

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