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Aura 9999 Flux LoRA

Prompt
Aura 9999, a close-up of a womans face is visible. The womans eyes are a piercing yellow, while her lips are a darker shade of brown. Her hair is a mix of black and white, and she is wearing a headband that is adorned with orange lights. The background is a dark gray, and the womans head is encased in a layer of orange lights, creating a striking contrast to her face.
Prompt
Aura 9999, a hamburger is captured in a vibrant blue-green glow. The hamburger bun is adorned with sesame seeds, adding a pop of color to the otherwise monochromatic scene. The burger is situated in the center of the frame, with a layer of lettuce surrounding it. The lettuce is a vibrant shade of green, while the tomato slices are a vibrant red. The sandwich is positioned in front of a backdrop of smoke, creating a stark contrast to the burger. The lighting is subdued in the foreground, adding depth to the composition.
Prompt
Aura 9999, a silhouette of a mans face can be seen in front of a dark background. The mans head is facing towards the right side of the frame, and his eyes are slightly open. His hair is a mix of brown and yellow, and he has a slight smile on his face. His mouth is slightly open, and there is a line of fire behind him, adding a touch of warmth to the scene.

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

Model description

prithivMLmods/Aura-9999

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 22 & 2390
Epoch 13n Save Every N Epochs 1
Labeling: florence2-en(natural language & English)

Total Images Used for Training : 17 [ Hi-RES ]

Best Dimensions

  • 1024 x 1024 (Default)

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 = "prithivMLmods/Aura-9999"
trigger_word = "Aura 9999"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Aura 9999 to trigger the image generation.

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Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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