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Use Case

AI-generated concept art for media

Generative AI models, such as Language Models (LLMs) and image generators, bring revolutionary potentials to concept art creation. A text prompt like 'design a futuristic city at twilight' inputted into an LLM like GPT-3 can generate detailed descriptions unthinkable by human artists, sparking new ideas for designs. This can then be translated into visual settings via image generators for an even more tangible representation.

Moreover, AI-based models like OpenAI's DALL-E can generate unique images from text inputs, accelerating the concept design process. For instance, a phrase like 'an armchair in the shape of an avocado' could instantly visualize a quirky concept, reducing the time artists spend on drafting and modifying complex ideas. The use of AI ultimately expands the artistic possibilities, making concept ideation more flexible and efficient, and paving the way for new creative interpretations.

How to build with Clevis

Text Input

Collect input from user - media project description

Prompt ChatGPT

Prompt ChatGPT with the project description to generate ideas for concept art

Prompt ChatGPT

Prompt ChatGPT to refine the generated ideas based on user feedback

Generate Image (DALL-E)

Generate concept art using DALL-E

Display Output

Present the generated concept art to the user

The described application is a concrete example of what you can build using Clevis, a powerful AI tool. The application is a unique solution providing AI-generated concept art for media projects. Despite its complexity, the core functionality of this application is neatly divided into a series of manageable steps.

Initially, the app collects descriptions of the media project from the user, serving as valuable input. Once the user's input is secured, the mechanism utilizes ChatGPT to develop potential ideas for the concept art based on the project's description.

Furthermore, to perfect the output, our app employs ChatGPT a second time, refining the initially generated concept ideas according to any feedback received from the user. After this iterative collaboration between AI and user, DALL-E takes the refined ideas and begins the exciting process of creating the envisioned concept art.

Finally, this AI-created art is then presented back to the user, showcasing the combination of user foresight and AI creativity. What is impressive about Clevis is that you can replicate this AI application or construct entirely unique applications within the same technological realm.


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