---
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
The remake of the graffiti xl model. The data is set for this does not encompass as many of the “sticker” looks and more so just graffiti tags
## 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)