What's the possible scenarios for the human ai co-creation in image? 

The possible scenarios for human-AI co-creation in image generation span a wide range of applications and methodologies, reflecting the diverse potential of this collaborative approach. One scenario involves the use of AI text-to-image generators like DALL-E Mini, which, despite its limitations, has become a popular tool for creating surreal and grotesque images based on user prompts, highlighting the playful, co-creative algorithmic practice between humans and AI . This aligns with the broader trend of leveraging large-scale AI models to tap into the collective memory of the world, allowing for the creation of images that were previously inaccessible, fostering a new form of human-AI collaboration . In architectural design, AI-assisted methods are being developed for generative design, where AI aids in the creative phases, enabling a seamless transition from semantics to 2D images and 3D models, thus facilitating real-time, conceptual, iterative interplay between human designers and AI collaborators . However, the dynamics of control and agency in these collaborations are delicate, as varying degrees of AI initiative can impact the user experience, suggesting a need for careful calibration of AI's role in the creative process . Large-scale Text-to-image Generative Models (LTGMs) represent another scenario where AI algorithms generate high-quality images from textual descriptions, supporting creative work across various domains. Yet, the interaction with these tools and their impact on users’ creativity remains an area for further research . Similarly, the distinction between artists and non-artists in their engagement with AI for art creation suggests that while AI can democratize artistic creation, it also blurs traditional boundaries of artistic expertise . Explorations into human-only collaborative co-creation have shown that settings involving iterative collaboration and voting can enhance creativity, suggesting that similar approaches could be beneficial in human-AI co-creation scenarios . Moreover, the integration of generative AI into creative domains is seen as a means to augment human creativity, serving as a source of inspiration, a tool for manipulation, or a creative partner . Finally, the development of mixed-initiative co-creativity (MI-CC) systems, which allow for both human and AI to initiate content changes, points towards a future where human-AI co-creation is more adaptive and personalized, catering to different user preferences and enhancing creative outcomes .

Human-AI Co-Creation of Art Based on the Personalization of Collective Memory

Possible scenarios for human-AI co-creation in images include leveraging collective memory data to generate personalized artworks, enabling efficient workflows for meaningful collaborations, and exploring new creative potentials.

Aberrant AI creations: co-creating surrealist body horror using the DALL-E Mini text-to-image generator

Possible scenarios for human-AI co-creation in images include surreal and grotesque creations using DALL-E Mini, influenced by surrealism, body horror, and celebrity memes, reflecting contemporary cultural anxieties.

Towards AI as a Creative Colleague in Game Level Design

Possible scenarios for human-AI co-creation in image design include AI taking more initiative, balancing AI agency to avoid user frustration, and exploring different levels of AI control in creative processes.

Towards Human-AI Collaborative Architectural Concept Design via Semantic AI

The possible scenario for human-AI co-creation in images involves iterative design exploration from semantics to 2D images to 3D models using AI models like CLIP and Text2Mesh in Rhino3D.