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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=RentCivit&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- character
- photorealistic
- sexy
- woman
- girls
- realistic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Sexy girl
widget:
- text: ' '
parameters:
negative_prompt: text, watermark,Blurring, blurring,depth of field,anime
output:
url: >-
26655170.jpeg
- text: ' '
parameters:
negative_prompt: text, watermark,Blurring, blurring,depth of field,anime
output:
url: >-
26655193.jpeg
- text: ' '
parameters:
negative_prompt: text, watermark,Blurring, blurring,depth of field,anime
output:
url: >-
26655023.jpeg
- text: ' '
parameters:
negative_prompt: text, watermark,Blurring, blurring,depth of field,anime
output:
url: >-
26655122.jpeg
- text: ' '
parameters:
negative_prompt: text, watermark,Blurring, blurring,depth of field,anime
output:
url: >-
26655301.jpeg
---
# Asian beauty - Flux Lora
<Gallery />
## Model description
<p><strong>Tag word is: <span style="color:rgb(250, 82, 82)">Sexy girl,</span></strong><br /><span style="color:rgb(255, 255, 255)">A Flux Dev Lora of </span><strong><span style="color:rgb(250, 82, 82)">Sexy </span></strong><span style="color:#fa5252">Asian beauty</span><span style="color:rgb(255, 255, 255)">. Works best at 0.7~1.5 weight,About 0.9 is a good weight, will have a good generalization effect, sampler 40 steps will have a good effect. Recommended sampler: enlar a, scheduler: beta,cfg: 1~3, common size: 1024*1024*1536</span></p>
## Trigger words
You should use `Sexy girl` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Keltezaa/asian-beauty-flux-lora/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/asian-beauty-flux-lora', weight_name='Sexy_Asian_beauty_lora.safetensors')
image = pipeline('`Sexy girl`').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)