--- tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora widget: - text: >- caricature of a girl wearing a tweed suit, lithography, by Honoré Daumier output: url: images/00154-480187136.png - text: >- caricature of a boy wearing a superhero costume, lithography, by Honoré Daumier output: url: images/00132-480187136.png - text: >- caricature of a dog wearing a police uniform, lithography, by Honoré Daumier output: url: images/00141-480187136.png - text: >- caricature of a frog wearing a police uniform, lithography, by Honoré Daumier output: url: images/00143-480187136.png - text: >- caricature of an alien, lithography, by Honoré Daumier output: url: images/00162-2919928779.png - text: >- caricature of a viking warrior, lithography, by Honoré Daumier output: url: images/00173-1015849521.png - text: >- caricature of a basketball player, lithography, by Honoré Daumier output: url: images/00174-1135926644.png - text: >- caricature of a cyborg robot, lithography, by Honoré Daumier output: url: images/00163-364911675.png - text: >- caricature of an eagle, lithography, by Honoré Daumier output: url: images/00179-3969836619.png - text: >- caricature of a cowboy, lithography, by Honoré Daumier output: url: images/00190-4023438497.png base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: caricature, lithography by Honoré Daumier license: cc-by-nc-4.0 --- # Honoré Daumier ## Model description # Daumier LoRA Model This model card represents a LoRA (Low-Rank Adaptation) model trained on the Honoré Daumier Dataset available at [Honoré Daumier Dataset](https://huggingface.co/datasets/Blib-la/honore_daumier_dataset). The model is adept at generating and analyzing satirical lithographic caricatures with exaggerated features, typical of Daumier's style. ## Model Overview The Daumier LoRA model has been trained to capture the essence of Honoré Daumier's satirical lithographs, which feature prominent 'big head' caricatures that are well-known for their social and political commentary during the 19th century. ## Training Configuration - **Dataset**: [Honoré Daumier Dataset](https://huggingface.co/datasets/Blib-la/honore_daumier_dataset) - **Epochs**: 14 - **Number of Images**: 67 - **Repeats per Image**: 10 (Each image was presented ten times throughout the training process to enhance detail recognition) - **Optimizer**: DAdaptAdam (Chosen for its robustness in LoRA model training) - **Precision**: bf16 (Balances computational performance with memory efficiency) - **Main Trigger**: The model is fine-tuned to recognize and replicate Daumier's unique caricature style. - **Xformers**: Implemented for more efficient transformer model operations - **Captioning Method**: GPT-Vision (Employs GPT-Vision to generate captions that guide the AI's learning process), with token shuffling for improved training - **Base Model**: Stable Diffusion XL 1.0 (Used for its advanced capabilities in detailed image generation) ## Model Usage The Daumier LoRA model is specifically trained to generate images that replicate the satirical and exaggerated style characteristic of Honoré Daumier's lithographs. ## Performance and Limitations - **Performance**: The model performs effectively in generating caricatures with exaggerated features and capturing the satirical essence of Daumier's artwork. - **Limitations**: Given the specific focus of the dataset on Daumier's work, the model may not generalize well to other styles of caricature or art forms. ## Ethical Considerations - **Intended Use**: Intended for non-commercial applications such as art historical education, pattern recognition in artwork, and digital art creation. - **Bias and Fairness**: The model reflects the societal and cultural biases present in 19th-century France as depicted in Daumier's work. ## Licensing - **Model License**: This model is licensed under Creative Commons Attribution-NonCommercial 4.0 Generic (CC BY-NC 4.0) for non-commercial use. - **Dataset License**: The Honoré Daumier Dataset is licensed under CC BY-NC 2.0. ## Contributions and Feedback We invite feedback and contributions to further refine the model's capabilities. Visit the model's page on Hugging Face for more information on how you can contribute or provide feedback. ## Trigger words You should use `caricature` to trigger the image generation. You should use `lithography by Honoré Daumier` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/pixelass/honore_daumier_lora_sdxl/tree/main) them in the Files & versions tab.