---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- character
- evang
- alisha klass

base_model: runwayml/stable-diffusion-v1-5
instance_prompt: Alisha_klass
widget:
- text: ' '
  
  output:
    url: >-
      17928291.jpeg
- text: ' '
  
  output:
    url: >-
      17927578.jpeg
- text: ' '
  
  output:
    url: >-
      17927570.jpeg

---

# Alisha Klass 

<Gallery />





## Model description

<p>based on Actress and Model Alisha Klass.</p><p></p><p>I recommend using a model like epic realism as the base</p>

## Trigger words
You should use `Alisha_klass`, `evang` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/brushpenbob/alisha-klass/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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/alisha-klass', weight_name='Alisha_Klass-000001.safetensors')
image = pipeline('`Alisha_klass`, `evang`').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)