README.md

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

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: evang
widget:
- text: ' '
  
  output:
    url: >-
      20816249.jpeg
- text: ' '
  
  output:
    url: >-
      20814641.jpeg
- text: ' '
  
  output:
    url: >-
      20814643.jpeg
- text: ' '
  
  output:
    url: >-
      20814642.jpeg

---

# Graffiti canvas 

<Gallery />





## Model description

<p>The remake of the <a rel="ugc" href="https://civitai.com/models/570499/graffiti-sticker-xl?modelVersionId=635885">graffiti xl </a>model. The data is set for this does not encompass as many of the “sticker” looks and more so  just graffiti tags</p>

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

## Download model

Weights for this model are available in Safetensors format.

[Download](/brushpenbob/graffiti-canvas/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('brushpenbob/graffiti-canvas', weight_name='Graffiti_canvas.safetensors')
image = pipeline('`evang`, `graffiti`').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)