Instructions to use andrebragamkt/skintext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use andrebragamkt/skintext 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("andrebragamkt/skintext") prompt = "Hyperrealistic art of <lora:skin texture Photorealistic style v4.5:1>" 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/fd1b3cd2-778c-4b5d-aeb2-077b8aded3a0.png
text: Hyperrealistic art of <lora:skin texture Photorealistic style v4.5:1>
parameters:
negative_prompt: simplified, abstract, unrealistic, impressionistic, low resolution
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: null
license: apache-2.0
skin texture

- Prompt
- Hyperrealistic art of <lora:skin texture Photorealistic style v4.5:1>
- Negative Prompt
- simplified, abstract, unrealistic, impressionistic, low resolution
Download model
Download them in the Files & versions tab.