[Tutorial] Stable Diffusion For Absolute Beginner - Part 6/7
Understanding Custom Models
Custom models, stemming from the base models released by Stability AI and their partners, open up a world of possibilities. The base models—like Stable Diffusion 1.4, 1.5, 2.0, and 2.1—form the foundation.
What distinguishes custom models is their training process, often derived from v1.4 or v1.5. These models undergo additional training using specific data to produce images with unique styles or focused on particular objects.
The beauty of custom models lies in their diversity. They can emulate various styles, from anime or Disney to other AI-driven aesthetics, allowing for limitless creativity.
Comparing five different models showcases the breadth of their image-generating capabilities. Moreover, it's relatively easy to blend two models to create a fusion style.
Choosing the Right Model
For beginners, starting with the base models is recommended. Models like v1.4, v1.5, v2.0, v2.1, and Stable Diffusion XL (SDXL) offer ample opportunities for exploration and learning.
Understanding the versions—v1, v2, and SDXL—helps in making an informed choice. While v2 models may seem appealing, both v1.5 and SDXL 1.0 remain excellent choices for newcomers. The newer v2 models don’t necessarily produce better images than their v1 counterparts, as users are still discovering their full potential.
Navigating Model Training
Stability Diffusion empowers users by allowing complete control over model creation. Creating a unique model with a distinct style is achievable through two primary methods: Dreambooth and embedding.
Dreambooth stands out as the more robust option, fine-tuning the entire model's weight. Conversely, embedding retains the model's integrity while identifying keywords to describe new subjects or styles.
Credit: https://stable-diffusion-art.com
Comments
Post a Comment
Leave your comment here...