Every time I prompt it generates a different person

Consistency is key when it comes to creating memorable and believable characters in storytelling. Whether you're writing a book, a screenplay, or a video game, ensuring that your characters remain consistent throughout different situations and scenarios is essential for maintaining their authenticity. In this blog post, we'll explore some techniques and tools that can help you achieve consistent characters in your creative projects.

One effective method for creating consistent characters is demonstrated in the transcript above, using OpenAI's DALL-E model. The transcript highlights how you can generate different variations of a character by using different prompts. However, to maintain consistency, a specific parameter can be added to the prompt, known as the "C dot E F character reference." By adding this parameter along with the character's URL and specifying a desired consistency level, the model can generate variations of the same character that remain consistent with each other.

Additionally, the transcript introduces another technique that utilizes in-painting to create consistent characters. By taking an initial image of the character and manipulating it using in-painting tools, you can create multiple variations of the same character in different scenarios. This technique allows you to cut out specific parts of the image and replace them with new backgrounds or outfits, resulting in a consistent character that can be used in various situations.

One of the advantages of using the in-painting technique is that you can generate multiple images of the same character, each with different expressions, poses, or settings. This can be particularly useful when mapping out different scenarios that your character needs to be in. For example, if you're writing a detective novel, you can create images of the character in various crime scenes or interrogation rooms. By having a range of consistent character images, you can effectively illustrate the character's development and experiences throughout the story.

Furthermore, the transcript suggests that you can use the generated character images as training data for your own stable diffusion model. By refining the generated images and iteratively improving upon them, you can create a more customized and consistent character. This can be especially valuable if you want to have more control over the generated variations and ensure that they align with your creative vision.

It's worth noting that while the techniques mentioned in the transcript primarily rely on AI models and tools, there are other traditional methods for developing consistent characters. These include carefully crafting character profiles, defining their personalities, motivations, and backstories, and ensuring that their actions and dialogue remain consistent with their established traits. These traditional methods can work in conjunction with AI-generated images to create well