---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- person
- photorealistic
- sexy
- female
- selfie
- photo
- style
- woman
- actress
- girls
- male
- man
- photography
- realistic
- selfies

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: instagram model
widget:
- text: 'photo of a A rainbow haired, 19 years old, asian girl, beautiful, stunning, ,instagram model, discord profile picture face focused'
  output:
    url: >-
      7451495.jpeg
- text: 'a old granny with pink hair, 95 years old, instagram model, discord profile picture'
  output:
    url: >-
      7451277.jpeg
- text: 'Indian Tech CEO, 35 years old'
  output:
    url: >-
      7451276.jpeg
- text: 'photo of a basketball player, ,instagram model, discord profile picture face focused'
  output:
    url: >-
      7451282.jpeg
- text: 'a old granny with pink hair, 95 years old '
  output:
    url: >-
      7451275.jpeg
- text: 'photo of a basketball player, ,instagram model, discord profile picture face focused'
  output:
    url: >-
      7451284.jpeg
- text: 'photo of a basketball player, ,instagram model, discord profile picture face focused'
  output:
    url: >-
      7451287.jpeg
- text: 'photo of a queen, face focused'
  output:
    url: >-
      7451281.jpeg
- text: 'a blonde woman wearing rainbow sunglasses, 19 years, instagram model, discord profile picture'
  output:
    url: >-
      7451279.jpeg

---

# SelfiePhotographyRedmond - Selfie Photography Lora for SDXL 

<Gallery />

## Model description

<h1 id="heading-28">SelfiePhotography.Redmond is here!</h1><p>I'm grateful for the GPU time from <strong>Redmond.AI</strong> that allowed me to finish this LORA!</p><p>Want to test and have acess to all my AI Stuff? Check my <a target="_blank" rel="ugc" href="https://artificialguy.com/">website</a>!</p><p>This is a <strong>Doodle </strong>LORA fine-tuned on <strong>SD XL 1.0.</strong></p><p>Test all my Loras <a target="_blank" rel="ugc" href="https://huggingface.co./spaces/artificialguybr/artificialguybr-demo-lora">here</a> for free and unlimited. Thanks, HF, for Inference API!</p><p>The LORA has a high capacity to generate Selfie and Photography in a wide variety of themes.<strong> It's a versatile LORA.</strong></p><p><strong><u>The tag for the model: A photo of a {your prompt} , instagram model, discord profile picture</u></strong></p><p>I really hope you like the LORA and use it.</p><p>If you like the model and think it's worth it, you can make a donation to my <a target="_blank" rel="ugc" href="https://www.patreon.com/user?u=81570187">Patreon</a> or <a target="_blank" rel="ugc" href="https://ko-fi.com/jvkape">Ko-fi</a>.</p><p>Follow me in my twitter to know before all about new models:</p><p><a target="_blank" rel="ugc" href="https://twitter.com/artificialguybr/"><u>https://twitter.com/artificialguybr/</u></a></p>

## Trigger words
You should use `instagram model`, `discord profile picture` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/artificialguybr/selfiephotographyredmond-selfie-photography-lora-for-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('artificialguybr/selfiephotographyredmond-selfie-photography-lora-for-sdxl', weight_name='SelfiePhotographyRedmond.safetensors')
image = pipeline('`instagram model`, `discord profile picture`').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)