---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=False&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- style
- construction
- vest
- safety
- ralfinger
- reflectiv
- high-vis

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: ral-reflectivest
widget:
- text: ' '
  
  output:
    url: >-
      4789940.jpeg
- text: ' '
  
  output:
    url: >-
      4789941.jpeg
- text: ' '
  
  output:
    url: >-
      4789943.jpeg
- text: ' '
  
  output:
    url: >-
      4789942.jpeg
- text: ' '
  
  output:
    url: >-
      4789945.jpeg
- text: ' '
  
  output:
    url: >-
      4789946.jpeg

---

# Reflectiv Vest Style [SDXL] 

<Gallery />



([CivitAI](https://civitai.com/models/))

## Model description

<p><span style="color:rgb(193, 194, 197)">Trigger: </span><strong><span style="color:rgb(193, 194, 197)">ral-reflectivest</span></strong><br /><br /><span style="color:rgb(193, 194, 197)">☕ Buy me a coffee: </span><a target="_blank" rel="ugc" href="https://ko-fi.com/ralfingerai">https://ko-fi.com/ralfingerai</a><br /><span style="color:rgb(193, 194, 197)">🍺 Join my discord: </span><a target="_blank" rel="ugc" href="https://discord.gg/g5Pb8qNUuP">https://discord.gg/g5Pb8qNUuP</a></p>

## Trigger words
You should use `ral-reflectivest` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/WEN8/reflectiv-vest-style-sdxl/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('WEN8/reflectiv-vest-style-sdxl', weight_name='ral-reflectivest-sdxl.safetensors')
image = pipeline('`ral-reflectivest`').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)