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DD-lclr-artstyle-XL-v1.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:80a58f59f5b30e7f096b5d4785132f21a01a6cb1151314552a1f25d4fb0a42ee
+size 228453468

README.md

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+---
+license: other
+license_name: bespoke-lora-trained-license
+license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- style
+- paintingstyle
+- paintings
+- artist
+- artstyle
+- painting
+- brushstroke
+- laclair
+
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: lclr artstyle
+widget:
+- text: ' '
+  output:
+    url: >-
+      2178025.jpeg
+- text: ' '
+  output:
+    url: >-
+      2177023.jpeg
+- text: ' '
+  output:
+    url: >-
+      2177237.jpeg
+- text: ' '
+  output:
+    url: >-
+      2176979.jpeg
+- text: ' '
+  output:
+    url: >-
+      2176998.jpeg
+- text: ' '
+  output:
+    url: >-
+      2177223.jpeg
+- text: ' '
+  output:
+    url: >-
+      2176853.jpeg
+- text: ' '
+  output:
+    url: >-
+      2176922.jpeg
+- text: ' '
+  output:
+    url: >-
+      2177036.jpeg
+
+---
+
+# Painterly LaClair artstyle LoRA 218MB & 1.8GB Versions 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p>Lightweight 218MB LoRA!<br /><br />Results can at times not look "ai generated" making this a powerful tool. <br /><br />Please use responsibly and credit artist <a target="_blank" rel="ugc" href="https://www.instagram.com/elijahlaclair/"><strong>Elijah LaClair</strong></a> for his generous usage of his work when possible. <br /><br />Updated versions of <a target="_blank" rel="ugc" href="https://civitai.com/models/117086?modelVersionId=126839">my 0.9XL LoRA</a>. <br /><br /><span style="color:rgb(193, 194, 197)">Trained on the paintings of American Artist </span><a target="_blank" rel="ugc" href="https://www.instagram.com/elijahlaclair/"><strong><span style="color:rgb(193, 194, 197)">Elijah LaClair</span></strong></a><span style="color:rgb(193, 194, 197)"> with his permission.</span><br /><br />For the 100 epochs version <span style="color:rgb(193, 194, 197)">I followed </span><a target="_blank" rel="ugc" href="https://civitai.com/articles/1771/how-to-create-near-perfect-character-and-style-loras-for-sdxl-10-important-update-19082023"><strong><span style="color:rgb(193, 194, 197)">AI_Characters's</span></strong></a><span style="color:rgb(193, 194, 197)"> </span><a target="_blank" rel="ugc" href="https://civitai.com/articles/1771/how-to-create-near-perfect-character-and-style-loras-for-sdxl-10-important-update-19082023">guide on LoRA settings</a><span style="color:rgb(193, 194, 197)"> but with my own artstyle regulation images as well.</span><br /><br /><span style="color:rgb(17, 17, 17)">☕ </span>Like what I do? <span style="color:rgb(17, 17, 17)">☕</span><br /><span style="color:rgb(17, 17, 17)">☕ </span><a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/doctordiffusion">Buy me a coffee or two</a>! <span style="color:rgb(17, 17, 17)">☕</span></p>
+
+## Trigger words
+You should use `lclr artstyle`, `painting` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/DoctorDiffusion/painterly-laclair-artstyle-lora-218mb-1-8gb-versions/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('DoctorDiffusion/painterly-laclair-artstyle-lora-218mb-1-8gb-versions', weight_name='DD-lclr-artstyle-XL-v1.safetensors')
+image = pipeline('`lclr artstyle`, `painting`').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)
+