| 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: | |
| widget: | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 5058212.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 5058211.jpeg | |
| # Graffiti tattoo | |
| <Gallery /> | |
| ## Model description | |
| <p>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.</p> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/brushpenbob/graffiti-tattoo/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('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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) | |