ostris/bootlicker-corporate-photos-and-portraits

Bootlicker - Corporate Photos and Portraits

Prompt

photo of a man bootlicker

Negative Prompt

cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of asian woman bootlicker

Negative Prompt

cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of indian man bootlicker

Negative Prompt

cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of of hipster man bootlicker

Negative Prompt

cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of of mexican woman bootlicker, ai company

Negative Prompt

cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of a man bootlicker

Negative Prompt

cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of a woman bootlicker

Negative Prompt

cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of japanese man bootlicker

Negative Prompt

cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Model description

Create corporate headshots and portraits. Great for outpainiting a face for LinkedIn profile photos.

A weight of 0.5 works well in most models. Adjust as needed. Trigger word is "bootlicker".

Trigger words

You should use bootlicker 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('ostris/bootlicker-corporate-photos-and-portraits', weight_name='bootlicker.safetensors')
image = pipeline('photo of  japanese  man bootlicker  ').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers