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Graffiti_canvas.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a0ad7fb72fcace598316732f25131e4fb5544641244e265d98abfb4c440f77c9
+size 228465812

README.md

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+---
+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 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p>The remake of the <a rel="ugc" href="https://civitai.com/models/570499/graffiti-sticker-xl?modelVersionId=635885">graffiti xl </a>model. The data is set for this does not encompass as many of the “sticker” looks and more so  just graffiti tags</p>
+
+## 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)
+