OdysseyXL-V1 / README.md
Spestly's picture
Update README.md
ea1abb5 verified
---
language:
- en
base_model:
- Spestly/OdysseyXL-1.0
library_name: diffusers
tags:
- realism,
- SDXL,
- photorealism,
license: mit
---
![Header](https://raw.githubusercontent.com/Aayan-Mishra/Images/refs/heads/main/API%20(1).png)
# OdysseyXL-V1
OdysseyXL-V1 represents the next evolution of the OdysseyXL fine-tune series, building upon the success of OdysseyXL-Zero. This version has been further optimized to deliver hyper-realistic image generation and enhanced versatility, making it an indispensable tool for artists, researchers, and developers working on high-quality visual content.
---
## Key Features
- **Hyper-Realistic Visuals**: OdysseyXL 2.0 achieves unparalleled detail, natural lighting, and lifelike textures.
- **Improved Prompt Flexibility**: Handles more complex and nuanced prompts with greater accuracy.
- **Broader Application Scope**: From concept art and advertising to virtual reality and research, OdysseyXL 2.0 adapts to your creative needs.
- **Optimized Performance**: Enhanced generation efficiency to reduce runtime on high-end GPUs.
---
## Why OdysseyXL-V1?
OdysseyXL-V1 builds upon the robust foundation of its predecessor, integrating:
- **Advanced Fine-Tuning Techniques**: Leveraging cutting-edge methodologies to enhance model performance.
- **Expanded Training Dataset**: Incorporating a wider array of high-resolution and diverse images to improve adaptability.
- **Community Feedback**: Addressing user input to refine prompt adherence and output quality.
---
# Community
Feel free to join us on [Open-Neo](https://discord.gg/syR3eFFfu8) and become a part of our community.
---
## Usage
Integrating OdysseyXL-V1 into your project is simple and intuitive. Use the following code snippet:
```python
from diffusers import DiffusionPipeline
# Load the OdysseyXL 2.0 pipeline
pipe = DiffusionPipeline.from_pretrained("Spestly/OdysseyXL-V1")
# Define your prompt
prompt = "A photorealistic portrait of an astronaut exploring a lush alien jungle, dramatic lighting, ultra-detailed"
# Generate the image
image = pipe(prompt).images[0]
# Save or display the image
image.save("output.png")
image.show()
```
---
## Fine-Tuning Enhancements
OdysseyXL-V1 was developed through a rigorous process:
1. **Expanded Dataset**: Incorporating more diverse, high-quality images to achieve greater generalisation.
2. **Optimised Training**: Utilising state-of-the-art GPUs and advanced fine-tuning strategies for superior results.
3. **Thorough Evaluation**: Extensive testing to ensure consistency and excellence across various scenarios.
---
## Example Results
![2.0](https://raw.githubusercontent.com/Aayan-Mishra/Images/refs/heads/main/disc%20(1).png)
---
## Limitations
While OdysseyXL-V1 is a powerful tool, it has some limitations:
- **High Resource Demand**: Requires robust hardware for optimal performance.
- **Potential Biases**: As with all AI models, outputs may reflect biases in the training data.
---
## Roadmap
Looking ahead, we aim to enhance the OdysseyXL series further:
- Expanding datasets for even broader versatility.
- Introducing lightweight versions optimised for lower-end hardware.
---
## License
OdysseyXL-V1 is released under the MIT. For detailed terms, please refer to the LICENSE file in this repository.
---
## 📧 Contact
- **Submit your generated images!**: [Submit](https://tally.so/r/mZPblv)