metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - photorealistic
  - sexy
  - woman
  - celebrity
  - girls
  - realistic
  - tiktok
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
  - text: '  beautiful detailed photograph, brown hair cascading over her shoulders,  wearing a boatneck dress, standing in a cafe, looking at the viewer, smile'
    output:
      url: 45276023.jpeg
  - text: '  beautiful detailed photograph, hair cascading over her shoulders,  wearing a boatneck dress, standing in a cafe, looking at the viewer, smile'
    output:
      url: 45276022.jpeg
  - text: '  beautiful detailed photograph, brown hair cascading over her shoulders,  wearing a boatneck dress, standing in a cafe, looking at the viewer, smile'
    output:
      url: 45276021.jpeg
  - text: '  beautiful detailed photograph, brown hair cascading over her shoulders,  wearing a boatneck dress, standing in a cafe, looking at the viewer, smile'
    output:
      url: 45276234.jpeg

Mary Amber (Flux) -TikTok Star

Prompt
beautiful detailed photograph, brown hair cascading over her shoulders, wearing a boatneck dress, standing in a cafe, looking at the viewer, smile

Prompt
beautiful detailed photograph, hair cascading over her shoulders, wearing a boatneck dress, standing in a cafe, looking at the viewer, smile

Model description

Mary Amber (Flux) -TikTok Star. Trained for Flux.

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/mary-amber-flux-tiktok-star', weight_name='Mary_Amber_Flux.safetensors')
image = pipeline('  beautiful detailed photograph, brown hair cascading over her shoulders,  wearing a boatneck dress, standing in a cafe, looking at the viewer, smile').images[0]

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