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Seamless-Pattern-Design-Flux-LoRA

Prompt
This is a vibrant digital illustration featuring a seamless pattern of four Chihuahua heads, each adorned with large, bright pink sunglasses. The dogs have tan fur with white chests and expressive, wide eyes. The background is a solid, vivid blue, interspersed with scattered pink heart shapes, adding a playful and whimsical touch. The illustration style is cartoonish, with smooth shading and exaggerated features, creating a cheerful and eye-catching design.
Prompt
Seamless Pattern Design, a light blue background features a pattern of red berries and white snowflakes. The berries are arranged in a way that creates a striking contrast to the blue background. The leaves, stems, and branches are outlined in a muted gold color, adding a touch of nature to the image. The red berries are centered in the middle of the image, while the branches on the right side are outlined with a darker shade of gold. The branches, leaves, and stems are also outlined in white, creating a stark contrast against the background.
Prompt
Seamless Pattern Design, A white background with red bows and Christmas decorations. The bows are tied in a bow shape. The decorations are in small pots with green leaves and red flowers. The background is a light pink color.

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/Seamless-Pattern-Design-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 25 & 3K
Epoch 15 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/Seamless-Pattern-Design-Flux-LoRA"
trigger_word = "Seamless Pattern Design"  
pipe.load_lora_weights(lora_repo)

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

Data source

- https://playground.com/

Trigger words

You should use Seamless Pattern Design 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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