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4art_style.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5bf6c18606e75a46c8d95186bda4c2954edee31bfa53474286d8a1988bd18a6d
+size 228458756

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
+- style
+- split
+- split style
+- splitstyle
+
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: splitstyle
+widget:
+- text: ' '
+  
+  output:
+    url: >-
+      23409234.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      23410932.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      23409233.jpeg
+
+---
+
+# 4art style 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p>First attempt at creating a LoRa that recruits for different traditional art styles. Trained on close-up portraits. Might take a bit more tinkering as it tends to just have two panels instead of four. anyway while i work out the bugs enjoy </p>
+
+## Trigger words
+You should use `splitstyle`, `evang`, `split_style` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/brushpenbob/4art-style/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/4art-style', weight_name='4art_style.safetensors')
+image = pipeline('`splitstyle`, `evang`, `split_style`').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)
+