--- 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: 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 ## Model description

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

## Download model Weights for this model are available in Safetensors format. [Download](/Keltezaa/mary-amber-flux-tiktok-star/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)