metadata
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: hijab,muslim,tamannaah
widget:
- text: tamannaah completely nude sexy curvy boobs
output:
url: images/example_qot7ay2ir.png
- text: muslim tamannaah completely nude sexy curvy boobs in hijab
output:
url: images/example_nlt27704e.png
- text: hijab wearing muslim tamannaah completely nude sexy curvy big boobs
output:
url: images/example_apup5wff6.png
- text: hijab wearing muslim cute tamannaah completely sexy boobs
output:
url: images/example_s63z2p2qr.png
Hijabgirls
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use hijab,muslim,tamannaah
to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Tjay143/HijabGirls', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers