mmaluchnick's picture
Update README.md
18e15f2 verified
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
  - woman
  - celebrity
  - tate mcrae
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: tate
widget:
  - text: ' '
    output:
      url: 40364493.jpeg
  - text: ' '
    output:
      url: 40349033.jpeg
  - text: ' '
    output:
      url: 40363299.jpeg
  - text: ' '
    output:
      url: 40349029.jpeg
  - text: ' '
    output:
      url: 'out-1.png      '

Tate McRae Flux Model

Prompt
Prompt
Prompt
Prompt
Prompt

Model description

Tate Rosner McRae, born July 1, 2003, in Calgary, AB, is a Canadian singer/songwriter and dancer. Throughout her childhood, she received extensive dance training, eventually winning Best Female Dancer honors at the 2013, 2015, and 2018 Dance Awards, among other awards and achievements. In 2016, she competed on the reality series "So You Think You Can Dance,” where she placed third.

At age 13, McRae began posting original songs and covers on YouTube and TikTok via her “Create with Tate” series. The first song that she uploaded, “One Day,” attracted over 40 million views and was certified gold in Canada. Other notable songs from this time period include “Dear Ex Best Friend” and “Dear Parents,” which have over 40 and 20 million views, respectively. McRae signed with RCA Records in 2019 and released her debut EP, “All the Things I Never Said,” in January of the following year. The EP's lead single, "Tear Myself Apart,” was co-written by Billie Eilish and Finneas O'Connell. McRae released a a second EP, “Too Young to Be Sad,” that April. Preceded by the international hit “You Broke Me First,” it became the year’s most-streamed EP by a female artist on Spotify.

In 2020 and 2021, McRae was named an artist to watch by publications such as People, Billboard, Rolling Stone, NME, and Uproxx. McRae’s debut studio album, “I Used to Think I Could Fly,” arrived in 2022. It received positive reviews and reached No. 13 on the Billboard 200, while also charting within the Top 10 in several other countries. Later that year, she was the featured artist on Tiësto’s single “10:35,” a Top 10 hit in the UK.

For her second studio album, 2023’s “THINK LATER,” McRae set out to record more upbeat music, to showcase her dance skills and to distance herself from the “sad girl” image that she had become associated with. The lead single, “Greedy,” was her biggest hit to date, peaking atop the Canadian Hot 100 and reaching No. 3 on the Billboard Hot 100. “THINK LATER” debuted at No. 4 on the Billboard 200, becoming McRae’s first Top 10 album in the US. The album also reached the Top 5 in countries such as Canada, Belgium, New Zealand, Norway, and the UK. McRae was awarded Artist of the Year and Single of the Year (for “Greedy”) at the 2024 Juno Awards.

In April 2024, she embarked on the THINK LATER World Tour.

McRae recently announced that her third studio album, “So Close to What," will launch on February 21, 2025, and will be supported by The Miss Possessive Tour, which kicks off on March 18. Thus far, the album has been preceded by two singles: "It's ok i'm ok" and "2 hands."

Trigger words

You should use tate 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('mmaluchnick/tate-mcrae-flux-model', weight_name='TateMcRaeFluxModel2.safetensors')
image = pipeline('`tate`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers