--- license: openrail language: - en metrics: - character pipeline_tag: text-to-image tags: - lora - stable-diffusion-xl - image-generation base_model: - frankjoshua/realvisxlV40_v40Bakedvae instance_prompt: Kenza_Né_Banunga widget: - text: >- Kenza_Né_Banunga a dark brown skin woman platinum blonde trapper with relaxed mood, crouching, wearing red top, long (black leather coat xl), long orange skirt up between bare legs, tattoed forearms, black punk's boots, bare fore-arm, marginal, nature,sexy orange panties, cameltoeshay_moira_askarah low angle view photo shot hyper realistic of a handsome young woman, in a cyberpank style, she is wearing business attire, she seems serious and modest output: url: images/ComfyUI_02083_.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 --- # Kenza Né Banunga Generated Image Generated Image - Model Card for Kenza Né Banunga LoRA SDXL # Example of generated images: Generated Image Generated Image 1 Generated Image 2 Generated Image 3 Generated Image 4 Generated Image 5 Generated Image 6 Generated Image 7 Generated Image 8 Generated Image 9 ## 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