Prompt

RB Art, An animated image of a man sitting on a wooden stool. The man is wearing a white Nike shirt with a blue stripe down the center of the shirt. His legs are orange and his feet are black and white. His shoes are black with white and orange stripes on them. The background is a vibrant blue color. There are yellow stars on the right and left side of the image.

Prompt

RB Art, A cartoon drawing of a woman in a blue hooded sweatshirt, blue jeans, and blue tennis shoes is seen on a pink background. The woman is holding a blue coffee mug in her right hand, and a spray bottle in her left hand. Her hair is blowing in the wind, and she is wearing a blue cap. Her eyes are closed, and her mouth is slightly open. Her sneakers are blue with white laces, and the womans socks are pink.

Prompt

RB Art, A cartoon drawing of a girl in a blue shirt and pink shorts. The girl is wearing white roller skates with white laces. There is a blue lollipop on the left side of the image. There are yellow stars on the right and left of the girl. The background is a light blue color

Prompt

RB Art, A cartoon drawing of a girl in a white t-shirt with the word "LOVER" on it in black letters. The girl is wearing a pair of blue jeans and red tennis shoes. She is standing on her knees with her legs crossed. Her left leg is crossed over a yellow skateboard. The skateboard has an I on it. The background is a light pink color. There are yellow stars and a pink flower on the pink background.

Model description for RGART

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	24 & 3300
Epoch	30	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 39

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/RGART"
trigger_word = "RG Art"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use RG Art to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.