Ema Kanna Nishitani

Prompt
Hyper realistic headshot of Ema_Kanna_Nishitani with Naomi Osaka, Los Angeles city street, leggings sportswear, looking at viewer

Prompt
hyper realistic wide shot, looking at viewer, Ema's posing like a rapper, Kill Bill Movie Style, film grain, Fujifilm XT3, photographed on a DSLR LM-Q710.FGN, 50mm lens, detailed face

Prompt
full body shot of a relaxed ema_kanna_nishitani a beautiful young woman black hair smooth hair black eyes, opened mouth, sportswear, White Balance, High Contrast, 5D, Multiverse, 32k, Super - Resolution, Megapixel, ProPhoto RGB, VR, Lonely, Good, Massive, Big, huge hips, huge thigh, (((white skirt))), photographed by James White

Prompt
Candid cinematic photography of a bright white futuristic club, our protagonist is having a conversation, concerned eyes and expression, straight hair and smoked eye shadow, elegant minimal clothing, photographed by James White

Prompt
70's polaroid photo style, black and white portrait view of a beautiful young ema_kanna_nishitani a Japanese American 14 years old girl full-body shot, with loose black box braids, with a white shirt, Stretchy Elastic Waist Pleated Ruffle Mini Skirt for Schoolgirl Outfits, beautiful attire, White Japanese loose socks, detailed black shoes. The woman is making a peace sign with her fingers and has a big smile on her face. In the background, there are other people walking on the sidewalk and a building with trees and bushes.

Trained on RTX3060 using: https://github.com/kijai/ComfyUI-FluxTrainer.git

Trigger words

You should use ema_kanna_nishitani to trigger the image generation.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('obann001/ema_kanna_nishitani_flux_lora', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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

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black-forest-labs/FLUX.1-dev

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