Yellow-Laser-Flux-LoRA

Prompt
Yellow Lasers, Captured at eye-level on a low-angle perspective, a night-time shot captures a glowing figure of a person running on a wet concrete surface. The figure is adorned with a helmet, adorned with white dots, and a long line of light trails behind it, adding a touch of movement to the scene. The background is a deep black, creating a stark contrast to the figure.

Prompt
Yellow Lasers, a black and white cat stands on its hind legs, facing the left side of the frame. The cats back is facing the viewer, its front paws are raised in the air, while its tail is stretched out in front of it. The background is dark, creating a stark contrast to the cats body and the lights in the background, adding a touch of color to the scene.

Prompt
Yellow Lasers, Captured from a low-angle perspective on a dark stage, a white bicycle is positioned in the center of the frame. The bicycle is adorned with two white lights, one on each side of its body and the other on the back. The bike is positioned on two metal stands, creating a stark contrast against the backdrop of the stage. Two men are standing on the left side of the image, facing away from the camera on the right side. They are dressed in dark clothing, with hats on their heads. A long black cord is stretched across the stage, adding a touch of contrast to the scene.

Hosted Here🧨: 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.

Model description

prithivMLmods/Yellow-Laser-Flux-LoRA

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 & 2000
Epoch	10	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 13

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/Yellow-Laser-Flux-LoRA"
trigger_word = "Yellow Lasers"  
pipe.load_lora_weights(lora_repo)

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