tonde
nadanainoneIntroduction
The model "TONDE" is a Dreambooth model specifically trained to generate images of Klonoa, a character from the video game series of the same name. It was created using 814 images over 10,000 steps.
Architecture
This model employs the stable-diffusion architecture with several additional features:
- Tags: stable-diffusion, stable-diffusion-diffusers, text-to-image, diffusers, safetensors
- Prompt: The primary prompt used for image generation is "klonoa."
- Hypernetwork: An additional hypernetwork trained previously is included, though its effectiveness may vary.
Training
The model was developed using 814 images and trained over 10,000 steps. It incorporates a Dreambooth model designed to accurately depict the character Klonoa.
Guide: Running Locally
-
Environment Setup:
- Ensure you have Python and the necessary libraries installed. You will need
diffusers
and other dependencies from Hugging Face's Transformers library.
- Ensure you have Python and the necessary libraries installed. You will need
-
Downloading the Model:
- Clone the repository or download the model files directly from the Hugging Face Hub.
-
Running the Model:
- Load the model using the
diffusers
library. - Use the prompt "klonoa" to generate images.
- Load the model using the
-
Hardware Recommendations:
- For optimal performance, especially during inference, a cloud-based GPU, such as those provided by AWS, Google Cloud, or Azure, is recommended.
License
The model is distributed under the CreativeML Open RAIL-M license. This license allows for a wide range of uses but does not claim ownership over the content generated or any associated intellectual property rights.