Cardboard-v2-Flux

Prompt

Cardboard v2, a cardboard cutout of a bald mans face is adorned with a black beard and mustache. The mans head is encased in a pair of pink headphones that are attached to his head. The headphones have a thin pink cord running from the bottom to the top of the ears. The background is a vibrant turquoise color, adding a pop of color to the scene.

Prompt

Cardboard v2, a cardboard cutout of a mans face is displayed against a blue backdrop. The mans head is adorned with a brown fedora hat, a white face, and a yellow mustache. His eyes are a piercing blue, and his eyebrows are a lighter shade of yellow. His mustache is a vibrant yellow, adding a pop of color to the scene. He is wearing a brown shirt, and the shirt is a dark brown.

Prompt

Cardboard v2, a cardboard cutout of a man with green skin tone and exaggerated white eyebrows shaped like lightning bolts. He is wearing a purple beret tilted to the side and a red monocle over one eye. His lips are painted matte black, and the background is a glowing lime yellow.

Prompt

Cardboard v2, a cardboard cutout of a mans face painted in grayscale tones is highlighted by a bright neon green mohawk that arcs dramatically to the side. He sports a pair of round, red-tinted sunglasses and a deep purple scarf loosely draped around his neck. The backdrop is a high-saturation magenta, creating a bold visual contrast.

Model description for Cardboard-v2-Flux

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 & 2950
Epoch	24	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 21

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/Cardboard-v2-Flux "
trigger_word = "Cardboard v2"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Cardboard v2 to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.