obann001/Neyna_Flux1.Dev_LoRA_v1

Neyna

Prompt

cinematic RAW photo of Neyna and yellow hair, detailed brown eyes, ponytail, a handsome 30 y.o woman wearing white leather jacket, ((green army tank top)), jewerly, tatooed, friends, multiple women, serious, modest, 8k, Fujifilm, film grain, eye level angle shot, bokeh, city street, contests, expensive high budget movie, wonderful landscape in background with white birds, smoke

Prompt

cinematic RAW photo from ground level low angle view of Neyna a young woman standing in front of a colorful background. She is wearing a red tank top and black leather shorts. Her body is turned slightly to the side, with her legs slightly apart. She has long dark hair that is styled in loose waves and is looking directly at the camera with a serious expression. The background is filled with a variety of neon signs and lights in different colors, including pink, blue, yellow, and green. The overall mood of the image is vibrant and energetic.

Prompt

A portrait of a woman with striking light brown eyes, set against a blurred background. Neyna woman serious busty warrior, straight cute black hair, vibrant lighting, Leica M3 Analog, ((brown pupils)), ((Septum Piercing, Bridge Piercing)), ((glowing iris)), Perfect eyes, chest level shot, front lighting, daylight

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Trained on RTX3060 with ComfyUI:

Trigger words

You should use neyna to trigger the image generation.

Use it with the 🧨 diffusers library

from diffusers import FluxPipeline
import torch

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()  # ou .to("cuda")

pipe.load_lora_weights('obann001/Neyna_Flux1.Dev_LoRA_v1', weight_name='model.safetensors')) 

prompt = "your prompt"

image = pipe(prompt, num_inference_steps=28, guidance_scale=3.5).images[0]
image.save("output.png")

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