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- Dorothy_LeMay.safetensors +3 -0
- README.md +70 -0
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Dorothy_LeMay.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:be3c4773651183edb9b3df5e32fca861515869e2e64b8acacbc1457ec94e0eb8
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size 37883168
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README.md
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---
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license: other
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license_name: bespoke-lora-trained-license
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license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=1&allowDerivatives=False&allowDifferentLicense=True
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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- migrated
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- photorealistic
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- retro
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- 1980's
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- woman
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- actress
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- celebrity
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- dorothylemay
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: DorothyLeMay
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widget:
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- text: ' '
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output:
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url: >-
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6470435.jpeg
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- text: ' '
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output:
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url: >-
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6468870.jpeg
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---
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# Dorothy LeMay
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<Gallery />
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## Model description
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<p><strong>Dorothy</strong><span style="color:rgb(204, 204, 204)"> </span><strong>LeMay</strong><span style="color:rgb(204, 204, 204)"> is a legendary American actress. She was inducted into the hall of fame in 1998. At some point, she shifted her attention to adult content. She starred in various movies such as Blonde Fire, Every Way She Can, and Lusty Princess.</span></p>
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## Trigger words
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You should use `DorothyLeMay` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/brushpenbob/dorothy-lemay/tree/main) them in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('brushpenbob/dorothy-lemay', weight_name='Dorothy_LeMay.safetensors')
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image = pipeline('`DorothyLeMay`').images[0]
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```
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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)
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