OleART / README.md
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metadata
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
  - text: >-
      ole art, A black and white portrait of a woman with short dark hair. The
      womans hair is tied up in a ponytail with white lines coming from it. The
      background is a light gray color. The womens face is facing the left side
      of the frame. Her eyes are open and her lips are slightly parted. She is
      wearing a black tank top that is low to her chest. Her hair is dark brown.
    output:
      url: images/1.png
  - text: >-
      ole art, A medium-angle perspective, a sketch of a womans face is depicted
      in a stark white background. The womans head is facing the left side of
      the frame, her face is angled towards the left. Her eyes are blue, her
      lips are painted red, her hair is long and wavy, and her hair cascades
      down to the right side of her face. Her hair is a light brown, with a few
      lines of white on it. Her nose is a darker shade of blue, while her mouth
      is a lighter shade of red. Her eyebrows are a darker red, adding a pop of
      color to the scene.
    output:
      url: images/2.png
  - text: >-
      ole art, a medium-sized portrait of a young Asian man with dark brown
      hair, wearing a gray hooded sweatshirt and a red striped t-shirt. The mans
      face is adorned with a white string, adding a pop of color to the
      otherwise monochromatic image. The background is a creamy beige, with a
      large red bird-like shape in the upper left corner. The birds tail is a
      vibrant shade of red, while the birds wings are a darker shade of black.
    output:
      url: images/3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ole art
license: creativeml-openrail-m

1111.png

Prompt
ole art, A black and white portrait of a woman with short dark hair. The womans hair is tied up in a ponytail with white lines coming from it. The background is a light gray color. The womens face is facing the left side of the frame. Her eyes are open and her lips are slightly parted. She is wearing a black tank top that is low to her chest. Her hair is dark brown.
Prompt
ole art, A medium-angle perspective, a sketch of a womans face is depicted in a stark white background. The womans head is facing the left side of the frame, her face is angled towards the left. Her eyes are blue, her lips are painted red, her hair is long and wavy, and her hair cascades down to the right side of her face. Her hair is a light brown, with a few lines of white on it. Her nose is a darker shade of blue, while her mouth is a lighter shade of red. Her eyebrows are a darker red, adding a pop of color to the scene.
Prompt
ole art, a medium-sized portrait of a young Asian man with dark brown hair, wearing a gray hooded sweatshirt and a red striped t-shirt. The mans face is adorned with a white string, adding a pop of color to the otherwise monochromatic image. The background is a creamy beige, with a large red bird-like shape in the upper left corner. The birds tail is a vibrant shade of red, while the birds wings are a darker shade of black.

Model description for OleART

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 34 & 3770
Epoch 23 Save Every N Epochs 1
Labeling: florence2-en(natural language & English)

Total Images Used for Training : 34

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/OleART"
trigger_word = "ole art"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use ole art to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.