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