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.gitattributes

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1628033_training_data.zip

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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=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- migrated
+- style
+
+base_model: black-forest-labs/FLUX.1-schnell
+instance_prompt: zipper contrast
+widget:
+- text: ' '
+  
+  output:
+    url: >-
+      68380836.jpeg
+- text: ' '
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+  output:
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+- text: ' '
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+- text: ' '
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+- text: ' '
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+- text: ' '
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+- text: ' '
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+- text: ' '
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+
+---
+
+# contrast 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p>woman in colorful zipper outfit</p>
+
+## Trigger words
+You should use `zipper contrast` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/LuckyStyle/contrast/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-schnell', torch_dtype=torch.bfloat16).to(device)
+pipeline.load_lora_weights('LuckyStyle/contrast', weight_name='1628033_training_data.zip')
+image = pipeline('`zipper contrast`').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)
+