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Graffiti_tattoo-000005.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ee1b2d39760943c7afe7c4c744d41ac707675d8169bb13351c99817a4a71cfc6
+size 37871624

README.md

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+---
+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)
+