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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
+- character
+- model
+- actress
+- taren steele
+
+base_model: runwayml/stable-diffusion-v1-5
+instance_prompt: Taren_Steele
+widget:
+- text: ' '
+  
+  output:
+    url: >-
+      22397999.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      22398564.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      22396324.jpeg
+
+---
+
+# Taren Steele 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p>trained on the actress Taren Steele. </p>
+
+## Trigger words
+You should use `Taren_Steele` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/brushpenbob/taren-steele/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/taren-steele', weight_name='Taren_Steele-000003.safetensors')
+image = pipeline('`Taren_Steele`').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)
+

Taren_Steele-000003.safetensors

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