README.md

---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- wow
- style
- world of warcraft
- styled

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: WoW Screenshot
widget:
- text: 'a doge dog in a leather jacket riding a motorcycle  in a desert, WoW Screenshot'
  
  output:
    url: >-
      28858186.jpeg
- text: 'a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini WoW Screenshot'
  
  output:
    url: >-
      28858188.jpeg
- text: 'woman with red hair, playing chess at the park, bomb going off in the background WoW Screenshot'
  
  output:
    url: >-
      28858187.jpeg
- text: 'Wonderwoman flying with golden wings, WoW Screenshot'
  
  output:
    url: >-
      28858185.jpeg
- text: 'A socially awkward potato WoW Screenshot'
  
  output:
    url: >-
      28858189.jpeg
- text: 'eiffel tower WoW Screenshot'
  
  output:
    url: >-
      28858191.jpeg
- text: 'The girl with a pearl earring WoW Screenshot'
  
  output:
    url: >-
      28858190.jpeg

---

# WoW Screenshot [FLUX] 

<Gallery />



([CivitAI](https://civitai.com/models/742239))

## Model description

<p>Make your images look like they are a screenshot from World of Warcraft</p><p>Use a LoRA weight scale between 1.5 to 2.0</p><p>Use "<em>WoW Screenshot"</em> in your prompts to trigger the style</p>

## Trigger words
You should use `WoW Screenshot` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Norod78/wow-screenshot-flux/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

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Norod78/wow-screenshot-flux', weight_name='Flux-WoW-Screenshot-LoRA.safetensors')
image = pipeline('The girl with a pearl earring WoW Screenshot').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)