Red-Undersea-Flux-LoRA

Prompt

Red Undersea, An eye-level perspective of a 3D image of a Burger. The Burger is in the center of the image, with the Burger on the right side of the frame and the Burger on the left side. There is a blue swirl in the top left corner, and white swirls on the top right corner. There are red swirls in the bottom left corner. The background is a deep blue, and there are small white dots in the middle of the blue swirls. In the bottom right corner, there is a black surface.

Prompt

Red Undersea, an illustration of a Tree in blue, in the style of glowing neon, with fish fluid formation floating around, witchcore, dark cyan and red, master of shadows, ethereal, ghostly figures

Prompt

Red Undersea, an illustration of a Candlelight in blue, in the style of glowing neon, with fish fluid formation floating around, witchcore, dark cyan and red, master of shadows, ethereal, ghostly figures

• 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/Red-Undersea-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	23 & 2600
Epoch	12	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 13 [ 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/Red-Undersea-Flux-LoRA"
trigger_word = "Red Undersea"  
pipe.load_lora_weights(lora_repo)

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

Data source

- https://freeflo.ai/

Trigger words

You should use Red Undersea to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.