elle-fanning / 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
- person
- photorealistic
- sexy
- woman
- celebrity
- girls
- realistic
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt:
widget:
- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
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---
# Elle Fanning
<Gallery />
## Model description
<hr /><p><a target="_blank" rel="ugc" href="https://ko-fi.com/shuhanmoai"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7c867582-237e-4871-a48f-f086eb932c8b/width=525/7c867582-237e-4871-a48f-f086eb932c8b.jpeg" /></a><span style="color:rgb(255, 255, 255)">Need to personalize LORA or browse more unreleased LORAs:</span><a target="_blank" rel="ugc" href="https://ko-fi.com/shuhanmoai"><span style="color:rgb(255, 255, 255)">https://ko-fi.com/shuhanmoai</span></a></p><p><span style="color:rgb(255, 255, 255)">LORAをカスタマイズしたり、未公開のLORAをさらに見たりするには:</span><a target="_blank" rel="ugc" href="https://ko-fi.com/shuhanmoai"><span style="color:rgb(255, 255, 255)">https://ko-fi.com/shuhanmoai</span></a></p><p><span style="color:rgb(255, 255, 255)">Or you can subscribe to a monthly selection of curated LORA:</span><a target="_blank" rel="ugc" href="http://patreon.com/shuhanmo"><span style="color:rgb(255, 255, 255)">patreon.com/shuhanmo</span></a></p><p><span style="color:rgb(255, 255, 255)">または、キュレーションされたLORAの月額購読もできます:</span><a target="_blank" rel="ugc" href="http://patreon.com/shuhanmo"><span style="color:rgb(255, 255, 255)">patreon.com/shuhanmo</span></a></p>
## Download model
Weights for this model are available in Safetensors format.
[Download](/Keltezaa/elle-fanning/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('Keltezaa/elle-fanning', weight_name='FLUX-Elle Fanning.safetensors')
image = pipeline('Your custom prompt').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)