Flux LoRA Collections
Collection
Flux THE LoRA β’ 131 items β’ Updated β’ 33
How to use prithivMLmods/Aura-9999 with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("prithivMLmods/Aura-9999")
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."
image = pipe(prompt).images[0]import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("prithivMLmods/Aura-9999")
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."
image = pipe(prompt).images[0]


Even a Hamburger Has Its Aura π€
Hosted Hereπ§¨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
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 ]
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)
You should use Aura 9999 to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
black-forest-labs/FLUX.1-dev