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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
+- concept
+- split
+- split screen
+- protoart
+
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: 2splitstyle
+widget:
+- text: ' '
+  
+  output:
+    url: >-
+      24440943.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      24429856.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      24429858.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      24429857.jpeg
+
+---
+
+# Splitstyle 2.0 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p><span style="color:rgb(193, 194, 197)">Second attempt at creating a LoRa that recruits for different traditional art styles.</span></p><p></p><h3 id="i-would-recommend-having-the-cfg-scale-set-pretty-precise-and-the-step-counts-relatively-high-fwpakxmb0">I would recommend having the CFG scale set pretty precise, and the step counts relatively high</h3><p></p><p>I realized after the training was already completed. I trained us as a style and not a concept so this is the second attempt added a few more images to the data set up and that helps.</p><p>It should now allow you the option to create either two panels or four panel images. with the triggers "<strong>2splitstyle" or "4splitstyle"</strong></p><p><span style="color:rgb(193, 194, 197)">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</span></p>
+
+## Trigger words
+You should use `2splitstyle`, `4splitstyle`, `splitstyle`, `split_style`, `evang` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/brushpenbob/splitstyle-2-0/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/splitstyle-2-0', weight_name='Splitstyle_2.0.safetensors')
+image = pipeline('`2splitstyle`, `4splitstyle`, `splitstyle`, `split_style`, `evang`').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)
+

Splitstyle_2.0.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ff60ab9f82cd869cfa6dc0565ae9aa2ea4714b1d67ea4bca0756276ef32cfa25
+size 228469404