Model Training: LoRa
Project information
- Category: Model Training
- Client: Infobae
- Project URL: infobae.com/tendencias
In addressing the imperative to generate visual content for health-related articles, our exploration revealed significant limitations within prevalent diffusion models, particularly in rendering a condom wrapper accurately. Some models exhibited inadequacies, either failing to represent the object correctly or resorting to undue censorship. Recognizing the paramount significance of sexual education as not merely an important facet but a foundational priority in safeguarding well-being and autonomy for all, we embarked on the ambitious endeavor to develop a model capable of not only crafting realistic images but also facilitating dynamic interactions between characters and the object within diverse scenarios.
To achieve this objective, a meticulously curated dataset was employed, underscoring a commitment to flexibility, quality, and the overarching generalization of the model. By prioritizing these criteria in dataset curation, we sought to ensure that the resultant model would possess the versatility required to produce nuanced and contextually relevant depictions, thereby contributing substantively to the advancement of sexual education initiatives and fostering a more inclusive and informed discourse on reproductive health.