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Prompt
Animeopix, A pixelated image of a girl with a blue wig on her head. The wig is a vibrant shade of blue and has white dots on it. Her eyes are a piercing red. Her eyebrows are a lighter shade of pink. Her lips are a darker pink. She is wearing a white collar with a white shirt underneath. The background is a light gray color. There are black lines on the wall behind her.
Prompt
Animeopix, An animated image of a woman with long green hair. The womans face is white and her eyes are yellow and black. Her hair is a vibrant shade of green. She is wearing a maroon shirt with white designs on it. Her lips are pink and her mouth is slightly open. The background is a light peach color.
Prompt
Animeopix, An animated image of a girl with a pink wig on her head. Her hair is a vibrant shade of pink, and her eyes are a piercing blue. She is wearing a white button-down shirt with a gray collar. Her mouth is slightly open, and she has a smile on her face. The background is a bright yellow, and there is a slight shadow on the right side of the image.
Prompt
Animeopix, A cartoon drawing of a woman with long dark blue hair. She is wearing a white collared shirt with a gray collar. Her eyes are red and her hair is cut in a ponytail. She has a pair of black rimmed glasses on her face. Her right hand is raised up to her ear. Her left hand is touching her ear with her left hand. The background is a bright yellow.
# Model description for Animeopix-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 12 & 3550
Epoch 35 Save Every N Epochs 1
Labeling: florence2-en(natural language & English)

Total Images Used for Training : 48

Best Dimensions & Inference

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

Inference Range

  • Recommended Inference Steps: 30โ€“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/Animeopix-Flux"
trigger_word = "Animeopix"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Animeopix to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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