metadata

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

Model description

based on Actress and Model Alisha Klass.

I recommend using a model like epic realism as the base

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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