Create README.md

README.md

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+---
+license: openrail
+language:
+- en
+metrics:
+- character
+pipeline_tag: text-to-image
+tags:
+- lora
+- stable-diffusion-xl
+- image-generation
+---
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/8QRnQTayPEPWvVZt80EFU.png" alt="Generated Image" width="400"/>
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a9a333e368492ab8dfccae/T_Kxg2l9EPpHzVXVZPvmY.png)
+
+ - Model Card for Kenza Né Banunga LoRA SDXL
+# Example of generated images:
+<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