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Jennifer_Lawrence_V2_Flux.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e72d80e8573fa31a24965f12aa8f3fb98f02925716ca4102f36613eaf386c2cd
+size 19313064

README.md

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+---
+license: other
+license_name: bespoke-lora-trained-license
+license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- migrated
+- photorealistic
+- sexy
+- woman
+- actress
+- celebrity
+- girls
+- realistic
+
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: 
+widget:
+- text: ' this is a high definition image of a woman with a slightly sultry expression and striking, blonde hair cascading down her back, wearing a an elegant dress. She is standing in cafe looking at the viewer, smile'
+  
+  output:
+    url: >-
+      35755184.jpeg
+- text: ' this is a high definition image of a woman with a slightly sultry expression and striking, blonde hair cascading down her back, wearing a an elegant dress. She is standing in cafe looking at the viewer, smile'
+  
+  output:
+    url: >-
+      35755258.jpeg
+- text: '  beautiful detailed photograph, blonde hair cascading, wearing a dress, standing in cafe looking at the viewer'
+  
+  output:
+    url: >-
+      35755185.jpeg
+- text: '  beautiful detailed photograph, blonde hair cascading, wearing a dress, standing in cafe looking at the viewer'
+  
+  output:
+    url: >-
+      35755325.jpeg
+
+---
+
+# Jennifer Lawrence (Flux) 
+
+<Gallery />
+
+
+
+([CivitAI](https://civitai.com/models/))
+
+## Model description
+
+<p>Jennifer Lawrence. Trained for Flux.</p>
+
+
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/Keltezaa/jennifer-lawrence-flux/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/jennifer-lawrence-flux', weight_name='Jennifer_Lawrence_V2_Flux.safetensors')
+image = pipeline('  beautiful detailed photograph, blonde hair cascading, wearing a dress, standing in cafe looking at the viewer').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)
+