Experimenting and fine-tuning the parameters in the AISixteen algorithm for generating images from text prompts can significantly impact the quality and coherence of the generated images.
Key tips to consider include:
CFG Scale
The CFG Scale (Classifier Free Guidance Scale) is a crucial parameter that determines the correspondence between the generated image and the given text prompt. A value of 0 produces a more random image, while 20 generates an image closely matching the prompt.
However, setting a CFG Scale beyond 15 may lead to artifacts in some images. The optimal range for CFG Scale lies between 7 and 13, striking a balance for high-quality images with the desired level of detail and coherence.
Number of Steps
The number of steps in the AI algorithm can impact the level of detail in the generated images. Fewer steps may result in less detail, but this doesn't always lead to worse results. Using a large number of steps, such as 40-50 or more, can introduce artifacts in the final result, similar to the CFG Scale.
In many cases, the difference in the generated image may not be noticeable after 30-40 steps, depending on the text prompt used. For simpler images, even 25 steps can be sufficient.
Negative Prompts
Utilizing negative prompts is a powerful technique to remove unwanted elements or styles from generated images, which may not be easily achievable by using positive prompts alone.
Negative prompts override the unconditional sampling step in the algorithm, guiding the diffusion process away from the undesirable elements described in the prompt. Providing negative prompts gives users better control over the image-generation process, leading to more accurate results that meet their expectations.