metadata
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
- celebrity
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: sandrab
widget:
- text: ' short hair, wearing an old grey sweater, as she sits in a cafe,, smiling, happy,'
output:
url: 33163113.jpeg
- text: ' wearing a grey no sleeve tank top, hair is a straight short bob with bangs, and she''s driving a city bus, from the movie speed.'
output:
url: 33163121.jpeg
- text: ' full body shot, wearing jeans, wearing a grey no sleeve tank top, hair is a straight short bob with bangs, standing next to a city bus, from the movie speed., smiling, happy,'
output:
url: 33163116.jpeg
sandra bullock
Model description
Most images were sampled around the time she did speed.
Follow me for more.
Trigger words
You should use sandrab
to trigger the image generation.
Download model
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
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/sandra-bullock', weight_name='sandrab.safetensors')
image = pipeline(' full body shot, wearing jeans, wearing a grey no sleeve tank top, hair is a straight short bob with bangs, standing next to a city bus, from the movie speed., smiling, happy,').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers