Pastel-BG-Flux-LoRA

Prompt

Pastel BG, a young woman with brown hair and blue eyes stands in front of a colorful backdrop. The womans face is adorned with freckles, adding a pop of color to her outfit. The backdrop is a vibrant shade of purple, with yellow stars and stripes on it.

Prompt

Pastel BG, An eye-level view of a gray tabby cat with long white whiskers and a pink nose. The cats head is tilted slightly to the right, and its eyes are wide open. Its ears are pointed up, and the cats fur is a mix of gray and black. The background is a combination of pink, purple, and yellow, with white dots dotting the background. To the left of the cat, there is a purple star with a white butterfly on it.

Prompt

Pastel BG, a man stands in front of a colorful backdrop. He is dressed in a light pink suit jacket, a yellow collared shirt, and a pair of sunglasses. His hair is styled in a short bob, and his eyes are slightly open. His lips are slightly parted, as if he is looking to the right. The backdrop is a combination of pink, yellow, and green, with small white stars on the right side of the wall.

• 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/Pastel-BG-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	28 & 3340
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 18 [ 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/Pastel-BG-Flux-LoRA"
trigger_word = "Pastel BG"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Pastel BG to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.