To activate the token, please use the word without the class . If the character loses prominence, consider adding parentheses to the token to emphasize the character more, like this: ((elxchavo)).
El Chavo del 8 - Realistic Vision V2 & Deliberate V2 Models Introduction This repository contains two models trained on a dataset of 61 images from the popular Latin American TV show "El Chavo del 8". The models are based on Realistic Vision V2 and Deliberate V2 architectures.
Dataset The dataset consists of 61 images from the "El Chavo del 8" show, with manual captions added. The images were collected from various episodes to ensure diversity.
Training Process Both models were trained using the Dreambooth repository. Checkpoints were conducted every 1000 steps to monitor the performance and behavior of the dataset with these models. The training process aimed to generate realistic and deliberate visual representations based on the images and captions provided.
Please feel free to contribute to this repository or use these models in your projects. For any questions or feedback, reach out to us.
the other models to try are in this link:
aaronamortegui/elxchavo · Hugging Face
Description
To activate the token, please use the word without the class . If the character loses prominence, consider adding parentheses to the token to emphasize the character more, like this: ((elxchavo)).
El Chavo del 8 - Realistic Vision V2 & Deliberate V2 Models Introduction This repository contains two models trained on a dataset of 61 images from the popular Latin American TV show "El Chavo del 8". The models are based on Realistic Vision V2 and Deliberate V2 architectures.
Dataset The dataset consists of 61 images from the "El Chavo del 8" show, with manual captions added. The images were collected from various episodes to ensure diversity.
Training Process Both models were trained using the Dreambooth repository. Checkpoints were conducted every 1000 steps to monitor the performance and behavior of the dataset with these models. The training process aimed to generate realistic and deliberate visual representations based on the images and captions provided.
Please feel free to contribute to this repository or use these models in your projects. For any questions or feedback, reach out to us.