--- language: - en base_model: - stabilityai/stable-diffusion-xl-base-1.0 license: other license_name: ocl license_link: LICENSE.md library_name: diffusers tags: - realism, - SDXL, - photorealism, --- ![Header](https://raw.githubusercontent.com/Aayan-Mishra/Images/refs/heads/main/API%20(1).png) # OdysseyXL 1.0 OdysseyXL 1.0 is a fine-tuned version of the SDXL Base 1.0 model, tailored to produce ultra-realistic and highly detailed visual outputs. Designed to push the boundaries of AI-generated content, OdysseyXL 1.0 is built for artists, developers, and researchers who seek precise and high-quality image generation for their projects. --- ## Key Features - **Enhanced Realism**: OdysseyXL 1.0 generates images with superior clarity, natural tones, and fine detail compared to the base SDXL model. - **Better Prompt Adherence**: Optimized to accurately interpret complex prompts and deliver results aligned with user input. - **Wide Application Range**: Suitable for use cases including creative design, advertising, game development, and research. - **Open Weights**: Built on open-source principles, ensuring transparency and adaptability. --- # Community Feel free to join us on [The Odyssey](https://discord.gg/syR3eFFfu8) and become a part of our community. --- ## Why OdysseyXL 1.0? The fine-tuning process for OdysseyXL 1.0 was conducted with meticulous care, utilizing a diverse and high-quality dataset. The model excels in areas such as: - Realistic human portraits - Natural landscapes - Complex object rendering - Creative compositions --- ## Usage You can integrate OdysseyXL 1.0 into your project using the following code snippet: ```python from diffusers import DiffusionPipeline # Load the OdysseyXL 1.0 pipeline pipe = DiffusionPipeline.from_pretrained("Spestly/OdysseyXL-1.0") # Define your prompt prompt = "A serene mountain landscape at sunrise, vivid colors, highly detailed, 8k resolution" # Generate the image image = pipe(prompt).images[0] # Save or display the image image.save("output.png") image.show() ``` --- ## Fine-Tuning Process The fine-tuning process involved: 1. **Dataset Curation**: A custom dataset of high-resolution, diverse images was hand-selected to improve realism and quality. 2. **Training**: The model was trained on high-performance GPUs to optimize weights for better generalization and prompt accuracy. 3. **Evaluation**: Rigorous testing and evaluation were performed to ensure consistent and reliable outputs. --- ## Example Results ![1.0](https://raw.githubusercontent.com/Aayan-Mishra/Images/refs/heads/main/1.0.png) --- ## Limitations While OdysseyXL 1.0 delivers remarkable results, it has some limitations: - **Resource Requirements**: High computational power is needed for optimal performance. - **Biases**: As with any AI model, outputs may reflect biases present in the training data. --- ## Roadmap Future updates for OdysseyXL include: - Expanding the dataset for even broader versatility. - Improving generation speed and resource efficiency. - Developing OdysseyXL 2.0 with enhanced features and capabilities. --- ## License OdysseyXL 1.0 is released under the OdysseyXL Community License. For detailed terms, please refer to the LICENSE file in this repository. --- ## 📧 Contact For questions, suggestions, or collaborations: - Discord Server: [The Odyssey](https://discord.gg/syR3eFFfu8) - Email: [odysseylabs.ai@proton.me](odysseylabs.ai@proton.me). - Website: [Website](https://odyssey-labs.vercel.app/) - **Submit your generated images!**: [Submit](https://tally.so/r/mZPblv)