metadata

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

Model description

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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