---
language:
- en
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-Zero

OdysseyXL-Zero 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-Zero is built for artists, developers, and researchers who seek precise and high-quality image generation for their projects.

---

## Key Features

- **Enhanced Realism**: OdysseyXL-Zero generates images with superior clarity, natural tones, and fine detail compared to the base SDXL model.
- **Better Prompt Adherence**: Optimised 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.

---

## Why OdysseyXL-Zero?

The fine-tuning process for OdysseyXL-Zero was conducted with meticulous care, utilising 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-Zero 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-Zero")

# 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-Zero 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.

---


## License

OdysseyXL-Zero 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)