sandra-bullock / README.md
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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

Prompt
short hair, wearing an old grey sweater, as she sits in a cafe,, smiling, happy,
Prompt
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.
Prompt
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,

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