metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: black-forest-labs/FLUX.1-dev
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
widget:
- text: hijab fuck
output:
url: images/example_zsn4v77hi.png
- text: '[hijab,muslim,arab sexy beautiful girls womens]egyptian hijab'
output:
url: images/example_1ml2zeded.png
- text: '[hijab,muslim,arab sexy beautiful girls womens]hijab busty pussy fucked'
output:
url: images/example_7g8s2lu3n.png
- text: gorgeous hijab muslim
output:
url: images/example_q6tndwvh7.png
- text: Hijab wearing Hansika motwani sexy in hijab
output:
url: images/example_mdf2p7rw2.png
- text: Muslim Hansika Motwani big boobs hot kissing and pussy fucked my man
output:
url: images/example_w9sczktsw.png
my_first_flux_lora_v1
Model trained with AI Toolkit by Ostris
Trigger words
No trigger words defined.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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.bfloat16).to('cuda')
pipeline.load_lora_weights('Tjay143/Hijab2', weight_name='my_first_flux_lora_v1.safetensors')
image = pipeline('None').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers