Prompt

Xmas Realpix 3D, two women are standing in front of a decorated Christmas tree. The tree is adorned with a variety of red and gold ornaments, and lights. The woman on the left is wearing a black and white dress with a white belt around her waist, and her hair is styled in a ponytail. She is holding a red bow in her left hand, while her right hand is positioned on the tree. Both women are wearing black high-heeled boots, and their hair is short. The Christmas tree is standing on a tiled floor, and there are two presents on the floor to the right of the tree, one is wrapped in a white box and the other is wrapped up in a red box. The walls behind the tree are covered in dark red curtains, and the window behind the trees is covered in white glass panes.

Prompt

Xmas Realpix 3D, a cozy living room is lit by the warm glow of a fireplace. On the mantle above the fireplace, stockings with names written in glitter are hanging. A golden retriever wearing a red bow around its neck is lying on a plush rug in front of the fireplace. To the left of the dog, a wooden coffee table holds a plate of cookies and a glass of milk. A rocking chair with a knitted blanket draped over it is positioned to the right. The walls are decorated with fairy lights and garlands, adding a festive touch.

Prompt

Xmas Realpix 3D, a snowy village scene is bustling with activity. A group of carolers dressed in Victorian-style clothing is singing in front of a beautifully lit Christmas tree in the town square. The tree is adorned with golden baubles, red ribbons, and twinkling lights. Behind the carolers, a small bakery with a "Hot Cocoa" sign is visible, with steam rising from its chimney. Children are building a snowman to the left of the scene, while a horse-drawn sleigh carrying passengers is passing by in the background.

Prompt

Xmas Realpix 3D, a panda bear is seated on a red velvet armchair. The panda is adorned with black and white fur, and its eyes are black. To the left of the panda, a blue and white horse is standing on a wooden platform, and to the right of it, a red bag with the words "Celestial" written in white lettering is placed on the wooden platform. In the background, a large Christmas tree is decorated with pink flowers and white snowflakes, and a brick fireplace is visible in the background. The scene is lit by artificial lights, adding a festive touch to the scene.

Prompt

Xmas Realpix 3D, A close-up shot of a gingerbread house on a table. The house is made of gingerbread and has a white roof. There are two lollipops on the right side of the house. There is a small glass bowl on the left side. The mug is filled with hot chocolate. The background is blurred, but there is a christmas tree in the background. The tree is decorated with lights.

Prompt

Xmas Realpix 3D, a snowman is standing on a red sled in the snow. The sled is attached to the snowmans feet. The snowman, a small child, dressed in a blue jacket, and a red hat, is holding a stick in her hand. A fire hydrant is positioned to the right of the sled. A black street lamp is positioned on the snow-covered ground. A red house with a red door is in the background. The house is covered in snow, adding a touch of warmth to the scene.

Model description for Flux-Xmas-Realpix-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 & 2400
Epoch	16	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 18

Best Dimensions & Inference

Dimensions	Aspect Ratio	Recommendation
1280 x 832	3:2	Best
1024 x 1024	1:1	Default

Inference Range

Recommended Inference Steps: 30–35

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 = "strangerzonehf/Flux-Xmas-Realpix-LoRA"
trigger_word = "Xmas Realpix 3D"  
pipe.load_lora_weights(lora_repo)

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