Prompt

b bag, a woman with long dark curly hair, wearing a white t-shirt and tan pants, is holding a beige tote bag with a black design of two fish on it and the word "pisces" written in black on the bag. She is standing in front of a glass window, her left hand resting on her hip. The background is blurred, with lights visible through the window.

Prompt

b bag, A close-up view of a white canvas tote bag with a yellow skateboard and a white dove drawn on it. Above the dove, the words "FUCK OFF MATE" are written in black letters. The person is wearing a yellow shirt and blue jeans. The background of the bag is a white wall made up of white tiles.

Prompt

b bag, A close-up view of a beige tote bag with a green square on the front that reads "not ur babe". The square has a white face with black hair and white sunglasses on it. The bag is held up by two beige handles. To the left of the bag is a pair of blue denim jeans.

Prompt

b bag, a woman is holding a white tote bag with a black drawing of a flying saucer and the words "See ya later" written in black ink on the bag. The woman is wearing an orange shirt and blue jeans, and her hair is dark brown. The backdrop of the bag is a stark white tiled wall.

Model description for Bg-Bag

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	16 & 2230
Epoch	14	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 25

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/Bg-Bag"
trigger_word = "Ctoon++"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Bg bag to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.