metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=1&allowDerivatives=True&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - graffiti
  - style
  - tattoo
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
widget:
  - text: ' '
    output:
      url: 5058212.jpeg
  - text: ' '
    output:
      url: 5058211.jpeg

Graffiti tattoo

Model description

This was an interesting experience, using civet AI to try to train a LoRa model. It's meant to pair with tattoo and graffiti art styles.

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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/graffiti-tattoo', weight_name='Graffiti_tattoo-000005.safetensors')
image = pipeline('Your custom prompt').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers