Update README.md

README.md

@@ -3,103 +3,9 @@ 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)
+- realism
+- SDXL
+- photorealism
+license: other
+license_name: amdl-1.0
+---