Hugging Face's logo

odyssey-labs
/
OdysseyXL-1.0

Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
realism,
SDXL,
photorealism,
Inference Endpoints
Model card Files Community
5
OdysseyXL-1.0 / README.md
Spestly's picture
Spestly
Update README.md
da6eb5d verified
preview code
|
raw
history blame
3.35 kB
metadata
language:
  - en
base_model:
  - stabilityai/stable-diffusion-xl-base-1.0
library_name: diffusers
tags:
  - realism,
  - SDXL,
  - photorealism,

Header

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.

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:

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

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 Stability.ai Community License. For detailed terms, please refer to the LICENSE file in this repository.

📧 Contact

For questions, suggestions, or collaborations: