Prompt

animex, a vibrant cartoon drawing of a mans face is depicted. The mans eyes are a piercing blue, and he has a serious expression on his face. His hair is spiky, and his bangs are a darker shade of purple. His eyebrows are a lighter shade of brown, while his mouth is slightly open. He is wearing a red hoodie, and a black jacket with a white stripe down the center of his chest. The hoodie is draped over his shoulders, adding a pop of color to the otherwise monochromatic image. The background is a deep, vibrant purple, and there are a few wispy red lines running across the image, adding depth to the composition.

Prompt

animex, An animated cartoon of a boy with black hair and green eyes. He is wearing a blue and white collared shirt with a black collar. His ears are sticking out of his head. His eyes are large and round. His mouth is slightly open and has white spots on it. The background is a vibrant green color.

Prompt

animex, An animated image of a girl with long dark hair and blue eyes. The girl is holding a sword in her right hand. She is wearing a purple dress with a purple bow in her left hand. Her right hand is holding the sword in the left. Her left hand is positioned in front of her face. The sword is pointed towards the right. The background is filled with neon lights.

Model description

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	35 & 4800
Epoch	20	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 57 [ 11@5 ] [ Hi -Res ]

Best Dimensions

768 x 1024 (Best)
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 = "strangerzonehf/Flux-Animex-v2-LoRA"
trigger_word = "Animex"  
pipe.load_lora_weights(lora_repo)

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