Aura-Lights

Prompt

aura lights, a vibrant black smiley face is adorned with a glowing circle of light. The face is encircled by a pair of shiny, shiny hands, adding a touch of warmth to the scene. The background is a solid black, creating a stark contrast to the black figure. The figures arms and hands are positioned in a way that creates a sense of balance, adding depth to the composition.

Prompt

aura lights, a close-up shot of a womans face, adorned with a white mask. The womans head is adorned with curly hair, a white rose, and a black scarf. The background is a solid black, creating a stark contrast to the womans figure. The figures face is covered in a black mask, adding a pop of color to the scene. The scarf is draped over her shoulders, adding depth to the composition.

Prompt

aura lights, a close-up of a statue of a womans face is adorned with a white robe adorned with black stripes. The womans head is adorned in a headdress adorned with white flowers, adding a touch of color to the scene. The background is dark, creating a stark contrast to the statue.

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Model description for Aura-Lights

Image Processing Parameters

Parameter	Value	Parameter	Value
LR Scheduler	constant	Noise Offset	0.03
Optimizer	AdamW	Multires Noise Discount	0.1
Network Dim	64	Multires Noise Iterations	10
Network Alpha	32	Repeat & Steps	20 & 2300
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 20

Best Dimensions & Inference

Dimensions	Aspect Ratio	Recommendation
1280 x 832	3:2	Best
1024 x 1024	1:1	Default

Inference Range

• Recommended Inference Steps: 30-35

Setting Up

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "strangerzonehf/Aura-Lights"
trigger_word = "aura lights"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Trigger words

You should use aura lights to trigger the image generation.

Download model

Download them in the Files & versions tab.