--- 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 - lingerie - model - woman - celebrity - fasion - soria - katerina base_model: black-forest-labs/FLUX.1-dev instance_prompt: widget: - text: 'smile' output: url: >- 37336316.jpeg - text: 'full-length photo, Portrait of a woman, soft diffused lighting, teal blue background, warm color palette, shallow depth of field, medium close-up composition, studio photography, high-resolution detail, soft skin texture, delicate white lace garment, wispy flyaway hair strands, professional beauty photography, 85mm lens, soft glamour lighting. Inspiration: Ryan McGinley, Guy Aroch. Avantgarde, bold, intriguing, artsy.' output: url: >- 37338056.jpeg - text: ' ' output: url: >- 37336317.jpeg - text: 'full-length photo, Portrait of a woman , soft diffused lighting, teal blue background, warm color palette, shallow depth of field, medium close-up composition, studio photography, high-resolution detail, soft skin texture, delicate white lace garment, elegant pose with hand near face, wispy flyaway hair strands, professional beauty photography, 85mm lens, soft glamour lighting. Inspiration: Ryan McGinley, Guy Aroch. Avantgarde, bold, intriguing, artsy.' output: url: >- 37338049.jpeg --- # kate ([CivitAI](https://civitai.com/models/)) ## Model description

Katerina Soria - a hosiery and lingerie oriented glamourous model, social media influencer and a photographer creating most of my photoshootings by myself. Born in Kyiv (Ukraine), currently living in Vienna (Austria)/Bratislava(Slovakia).

## Download model Weights for this model are available in Safetensors format. [Download](/Keltezaa/kate/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/kate', weight_name='kate.safetensors') image = pipeline('full-length photo, Portrait of a woman , soft diffused lighting, teal blue background, warm color palette, shallow depth of field, medium close-up composition, studio photography, high-resolution detail, soft skin texture, delicate white lace garment, elegant pose with hand near face, wispy flyaway hair strands, professional beauty photography, 85mm lens, soft glamour lighting. Inspiration: Ryan McGinley, Guy Aroch. Avantgarde, bold, intriguing, artsy.').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)