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Flux.TaylorSwift-step00000350.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bda66000e23f5218bb41da56a9b95287f40201168ad3d3027c7fcad6e0c78091
+size 153272040

README.md

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+---
+license: other
+license_name: bespoke-lora-trained-license
+license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- migrated
+- photorealistic
+- woman
+- celebrity
+- realistic
+
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: 
+widget:
+- text: 'blonde young woman in a dark robot suit in a cyberpunk setting at night, front view'
+  
+  output:
+    url: >-
+      35087545.jpeg
+- text: 'portrait red hair young woman in a dark forest at night, front view'
+  
+  output:
+    url: >-
+      35087816.jpeg
+- text: ' green hair young woman in a utopian candyland, front view'
+  
+  output:
+    url: >-
+      35088410.jpeg
+- text: 'portrait blue hair young woman in a utopian candyland, front view'
+  
+  output:
+    url: >-
+      35088183.jpeg
+- text: 'blonde young woman wearing red shirt outside '
+  
+  output:
+    url: >-
+      35087548.jpeg
+- text: 'black hair woman wearing black shirt outside holding a red lightsaber'
+  
+  output:
+    url: >-
+      35087549.jpeg
+- text: 'blonde young woman in a dark robot suit in a cyberpunk setting, front view'
+  
+  output:
+    url: >-
+      35087547.jpeg
+- text: 'portrait green hair young woman in a utopian candyland, front view'
+  
+  output:
+    url: >-
+      35088363.jpeg
+
+---
+
+# FLUX - Taylor Swift 
+
+<Gallery />
+
+
+
+([CivitAI](https://civitai.com/models/))
+
+## Model description
+
+<h3 id="flux+-pony-lora-for-taylor-swift-hy3qu4l1k"><strong><span style="color:rgb(34, 139, 230)">FLUX+ Pony LoRA for</span><span style="color:rgb(64, 192, 87)"> Taylor Swift </span></strong></h3><h3 id="want-a-customprivate-lora-get-it-here-:-commissions-or-icekiub-leave-a-like-if-you-like-it-:)buzz-for-best-imagesstrength:-0.7-1prompts-in-showcase-imagesenjoy!leave-me-a-review-so-it-can-improve!-gv4hs0u8l"><strong><span style="color:rgb(250, 82, 82)">Want a </span><span style="color:rgb(18, 184, 134)">Custom/private LoRA?</span><span style="color:rgb(250, 82, 82)"> Get it here : </span></strong><a target="_blank" rel="ugc" href="https://ko-fi.com/icekiub/commissions?commissionAlias=2042ce3d32&amp;amp;openCommissionsMenu=True#buyShopCommissionModal">Commissions | IceKiub </a><br /><br /><br /><strong><span style="color:rgb(121, 80, 242)">Leave a like if you like it :)</span></strong><span style="color:rgb(34, 139, 230)"><br /></span><strong><span style="color:rgb(250, 176, 5)">BUZZ FOR BEST IMAGES</span></strong><span style="color:rgb(34, 139, 230)"><br /></span><strong><span style="color:rgb(76, 110, 245)">Strength: 0.7-1</span></strong><span style="color:rgb(76, 110, 245)"><br /></span><br /><strong>Prompts in showcase images<span style="color:rgb(130, 201, 30)"><br /></span></strong><br /><strong><span style="color:rgb(64, 192, 87)">Enjoy!</span></strong><br /><br /><strong>Leave me a review so it can improve!</strong></h3>
+
+
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/Keltezaa/flux-taylor-swift/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
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
+pipeline.load_lora_weights('Keltezaa/flux-taylor-swift', weight_name='Flux.TaylorSwift-step00000350.safetensors')
+image = pipeline('portrait green hair young woman in a utopian candyland, front view').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)
+