README.md

---
license: openrail
language:
- en
metrics:
- character
pipeline_tag: text-to-image
tags:
- lora
- stable-diffusion-xl
- image-generation
base_model:
- SG161222/RealVisXL_V4.0
instance_prompt: Kenza_Né_Banunga
widget:
- text: >-
    long shot scenic professional photograph of urban graffiti style professional 3d model A vibrant portrait captures the captivating essence of Kenza Né Banunga, confidently posing in front of a striking backdrop, photographed by the talented Nina Masic. The model showcases an iconic look inspired by the street style of Harlem in the early '90s: high-waisted baggy jeans, a colorful crop top, and an oversized denim jacket. Her hair is styled in voluminous box braids adorned with gold beads. Bold hoop earrings and a pair of Timberland boots complete her urban ensemble.
  parameters:
    negative_prompt:
      ugly, deformed, noisy, low poly, blurry, painting, clean, minimalistic, soft, gentle, blurry, off-center
  output:
    url: https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/JX-CBAi-ZTuAuPR7MuqgO.png
- text: >-
    Kenza_Né_Banunga A captivating image captures the vibrant atmosphere of a 
    high-profile sports event: the NBA Basket Final. In this full-body shot, 
    the subject is a Kenza woman standing confidently in front of a dramatic 
    backdrop, radiating energy and confidence amidst the excitement surrounding
    one of basketball's most coveted competitions.
  output:
    url: images/ComfyUI_02150_.png
- text: >-
    Kenza_Né_Banunga woman  full-body shot, rapper pose, curved woman braided
    hair,  black, brown, grin, hair, nail, white leather jacket with round
    collar, black  tshirt and white skirt photoshot 
  output:
    url: images/ComfyUI_02159_.png
- text: >-
    Kenza_Né_Banunga woman  full-body shot, rapper pose, curved woman braided
    hair,  black, brown, grin, hair, nail, white leather jacket with round
    collar, black  tshirt and white skirt photoshot, empty MADISON SQUARE
    GARDEN, outdoors
  output:
    url: images/ComfyUI_02170_.png
library_name: diffusers
---

# Kenza Né Banunga

<Gallery />

 - Model Card for Kenza Né Banunga LoRA SDXL
# Example of generated images:

<img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/8QRnQTayPEPWvVZt80EFU.png" alt="Generated Image" width="400"/>
<img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/T_Kxg2l9EPpHzVXVZPvmY.png" alt="Generated Image" width="400"/>

<img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/uvQZz7AhPy8Er8W5SK-O5.png" alt="Generated Image" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/idi_7XzAlpa8w2QLMgVrP.png" alt="Generated Image 1" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/Uv1J--7rqPSjCT-Qamg1Z.png" alt="Generated Image 2" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/k0m-7UNegFU8pVNMPicsA.png" alt="Generated Image 3" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/HW0KkejvBkmIyN8DnfElU.png" alt="Generated Image 4" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/fG35p5nNet2m_IxvMYJfF.png" alt="Generated Image 5" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/h6rAhiRl7L3hN43f4XYAa.png" alt="Generated Image 6" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/2WHnYa8LclxRc5eHX-eyV.png" alt="Generated Image 7" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/3DlMGY0fvNui0B6by5aD9.png" alt="Generated Image 8" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/UTyBj1ysydShzIwtOHfZi.png" alt="Generated Image 9" width="400"/>

## Details:
  # Description:
    This model is a Low-Rank Adaptation (LoRA) trained to generate images of a young woman named Kenza Né Banunga. 
    It is designed to be used with Stable Diffusion XL models to create photorealistic images of this specific character.
  # developed_by: Anonymous
  # finetuned_from: frankjoshua/realvisxlV40_v40Bakedvae
  # repository: local
  - Trained on Kohya_ss Arch-Linux 

## Usage:
   # Direct_use:
    This LoRA can be used with compatible SDXL models to generate photorealistic images of Kenza Né Banunga in various situations and poses.
   # Out_of_scope_use:
    This model should not be used to create explicitly sexual, defamatory, or harmful images.

## Bias risks limitations:
   # Description:
    The model may have biases in the representation of physical traits and facial expressions. 
    The quality of results may vary depending on the base model used.
   # Recommendations:
    Users should be aware of potential biases and use the model responsibly and ethically.

## Training details:
   # Training_data: local
   # Training_procedure:
    Hyperparameters:
      training_regime: bf16 mixed precision
      epochs: 30
      learning_rate: 1e-05
      train_batch_size: 3
      gradient_accumulation_steps: 1
      optimizer: AdamW
      lr_scheduler: constant
      lora_rank: 32
      network_alpha: 128
      resolution: 1024x1024 max
    checkpointing:
      save_every_n_steps: 30
      save_at_epoch_end: true

## Technical specifications:
   # Model_architecture:
    type: LoRA Standard
    base_model: SDXL
    gradient_checkpointing: true
    xformers: enabled
   # Compute_infrastructure:
     hardware: NVIDIA GPU GEFORCE RTX-3060
     software: Kohya_ss
      framework: PyTorch with xformers
      precision: bf16 mixed precision

## Additional_information:
   # Training_comment:
    3 repeats. More info: https://civitai.com/articles/1771 2_3_Kenza_Né_Banunga woman 35 epoch

## Model card:
   # Authors: Anonymous
   # Contact: Information not available


# Use it with the 🧨 diffusers library

usage example: |
  ```python
  from diffusers import AutoPipelineForText2Image
  import torch

  pipeline = AutoPipelineForText2Image.from_pretrained(
      'frankjoshua/realvisxlV40_v40Bakedvae', 
      torch_dtype=torch.float16
  ).to('cuda')
  pipeline.load_lora_weights('path/to/Kenza_Né_Banunga_Lora_SDXL_dim32x128', weight_name='pytorch_lora_weights.safetensors')
  image = pipeline('your prompt').images

For more details, including weighting, merging, and fusing LoRAs, check the documentation on loading LoRAs in  🧨 diffusers