5 Workflows to Create AI Images That Don't Look Generic

18 Apr 202455:16

TLDRThe video transcript discusses strategies for creating non-generic AI-generated images, focusing on the importance of creative decision-making in the artistic process. The speaker shares techniques for infusing unique concepts into AI image generation, such as starting with a base image and then guiding the AI with specific prompts to achieve desired characteristics. Examples include transforming a normal animal image into a monster sheet, adjusting the balance between control and freedom in the AI's output, and using control nets and IP adapters for more detailed shaping. The transcript also touches on the challenges of creating non-anatomical human forms and the potential of future tools like regional prompting for greater control over AI-generated content. The speaker emphasizes the value of pushing the boundaries of what's considered normal to produce truly unique and engaging artwork.


  • 🎨 **Embrace Non-Generic Creativity**: The speaker emphasizes the importance of creating unique and non-generic AI images, especially in the context of monster and creature design.
  • 🚀 **Start with Basic Techniques**: Use fundamental techniques to begin ideating, such as using prompts and basic shapes to guide the structure of your creations.
  • 🤖 **Influence AI with Initial Images**: The initial image you provide to an AI can significantly influence the outcome, allowing you to shape the generic structure with your concepts.
  • 🦎 **Experiment with Image-to-Image**: Transforming normal animals into monsters using image-to-image techniques can yield interesting and unique results.
  • 📈 **Control the AI Output**: By adjusting settings like aspect ratio, denoising strength, and control net weights, you can guide the AI to produce more desired outcomes.
  • 🧩 **Iterate and Refine**: Each iteration is an opportunity to make creative decisions, refine the shape, and add details to your AI-generated creatures.
  • 💡 **Use Control Adapters**: Control adapters can be used to maintain structural integrity while allowing for creative freedom in the AI's output.
  • 🌟 **Inject Personality with Prompts**: By using specific prompts, you can infuse different character traits and aspects into your AI-generated images.
  • 🎭 **Artistic Decision Making**: The process is about making artistic decisions at each step, choosing to be more or less like existing works to create something unique.
  • 🧬 **Train the AI for Non-Normative Outputs**: If you want the AI to generate non-standard features like four arms, you may need to train the AI with examples of such features.
  • 🔍 **Regional Control for Detailed Manipulation**: Upcoming tools like regional control will allow for even more precise manipulation of AI-generated images, helping to push the boundaries of creativity.

Q & A

  • What is the main focus of the event described in the transcript?

    -The main focus of the event is to explore ways to create non-generic AI images, particularly through the process of monster creation, and to discuss the importance of making creative decisions to avoid producing generic outputs.

  • How does the speaker suggest using an initial image to guide the AI image generation process?

    -The speaker suggests using an initial image as a base to guide the generic structure of the AI-generated image, while infusing different concepts and using prompts to create unique and non-generic results.

  • What is the significance of the term 'non-normative' in the context of AI art creation?

    -In the context of AI art creation, 'non-normative' refers to the process of deviating from the expected or average outcomes produced by AI models. It emphasizes the need to push the boundaries and create unique and distinct art pieces that stand out from the generic outputs.

  • How does the speaker describe the process of adding details to the AI-generated creature images?

    -The speaker describes the process as an iterative and creative one, where they add details like horns, scales, or feathers to the creature images. They also discuss the possibility of using the canvas to re-imagine certain elements and refine the creatures further.

  • What is the role of the 'control net' in the AI image generation process?

    -The 'control net' is used to maintain consistency and structural integrity in the AI image generation process. It helps to guide the AI in creating images that align with the desired concept while allowing for creative freedom.

  • How does the speaker address the challenge of creating non-generic human-like figures with non-anatomical features?

    -The speaker acknowledges the challenge and suggests using training data to help the AI model understand and generate non-anatomical human features. They demonstrate this by attempting to create a figure with four arms, using both manual adjustments and AI guidance.

  • What is the concept of 'regional control' or 'regional prompting' mentioned by the speaker?

    -Regional control or regional prompting is a tool that allows for more precise control over different parts of the AI-generated image. It enables the user to apply different prompts to different regions of the image, resulting in a more nuanced and detailed final output.

  • How does the speaker use the term 'creative decision making' in the context of art creation?

    -The speaker uses the term 'creative decision making' to emphasize the importance of the artist's role in guiding the AI to produce unique and non-generic art. It involves making choices at each step of the process to differentiate the artwork from what is expected or typical.

  • What is the significance of the 'IP adapter' in the AI image generation process?

    -The 'IP adapter' is used to influence the AI's image generation process by providing a reference image or a set of characteristics that the AI should incorporate into its output. It helps to steer the AI towards creating images that align with specific concepts or themes.

  • How does the speaker discuss the iterative nature of the AI image generation process?

    -The speaker discusses the iterative nature of the process by highlighting the multiple steps of refinement and adjustment. They emphasize the importance of making creative decisions at each stage, from initial image generation to adding details and refining the final output.

  • What is the speaker's perspective on the balance between using AI tools and manual artistry in creating unique images?

    -The speaker believes in a balanced approach where AI tools are used for initial concept generation and iteration, but manual artistry is essential for refining and finishing the images. They mention the use of programs like Photoshop to finalize the artwork and make it unique.



🎨 Exploring Non-Generic Monster Creation

The speaker discusses the importance of creating non-generic monsters and creatures by infusing unique ideas. They use an image-to-image transformation technique to generate a tiger-like raptor creature, emphasizing the process of iterative design and the use of prompts to guide the AI towards desired characteristics. The audience is encouraged to consider what makes their creations stand out and to use AI as a tool for inspiration and ideation.


🛠️ Creative Decision Making in Art

This paragraph focuses on the concept that art, including the creation of non-generic content, is fundamentally about making creative decisions. The speaker highlights the challenge of differentiating one's work while using AI models and suggests that customizing the model and guiding it with specific prompts can lead to more unique and interesting results. They also demonstrate how to refine a creature concept by adjusting various elements like horns and claws.


🤔 Pushing AI to Be More Non-Normative

The speaker talks about the difficulty of creating non-generic art with AI, especially when using text prompts that tend to lead towards average or generic results. They discuss the need to push the AI in different directions and to get involved in the creative process to achieve non-normative outcomes. The paragraph includes an example of transforming an image of animals into monsters using an image-to-image approach and how to refine the results by reworking certain elements.


🔄 Iterative Refinement of AI-Generated Creatures

The speaker describes an iterative process of refining AI-generated creatures by using control nets and adjusting settings like step size and weight to control the transformation. They also mention the possibility of using regional prompting, a future tool that would allow for more precise control over different parts of the generated image, and provide a sneak peek at how it might work with a hyena-insectoid creature example.


🎭 Adding Details and Final Touches

The paragraph details the process of adding more details to the generated creature, such as feathers and cleaning up the claws. It emphasizes the importance of consistency, especially when dealing with paired elements like legs or arms. The speaker also talks about the potential to further refine the creature in a program like Photoshop and the excitement around the upcoming regional control feature for more precise creative control.


🧪 Experimenting with Non-Anatomical Human Features

The speaker explores the concept of non-anatomical humans, specifically those with four arms. They discuss the challenges AI faces when generating non-standard human features due to its normative understanding of human anatomy. The paragraph includes an attempt to generate a four-armed individual by providing the AI with examples and using an IP adapter with a control image of a person with four arms.


📈 Training AI for Non-Generic Outputs

The final paragraph discusses the importance of training AI models to understand and generate non-generic content. The speaker explains that by providing the AI with numerous examples of a concept, such as a creature with fingers for hair, the AI can learn to generalize and create variations of that concept. They also express enthusiasm for the upcoming regional prompting tool, which will offer users more control over AI-generated content.




The term 'non-generic' refers to something that is unique, not typical, or avoids conforming to standard or common types. In the context of the video, it is about creating AI-generated images that stand out from typical or average results. The video emphasizes the importance of avoiding generic outcomes in AI art to foster creativity and uniqueness, as illustrated by the speaker's efforts to generate distinctive monster designs.

💡Monster creation

Monster creation is the process of designing and conceptualizing fictional creatures or monsters. It is a central theme in the video, where the speaker discusses generating non-generic monster ideas. The script mentions 'coming up with ideas for monsters, and creatures,' highlighting the imaginative aspect of this process.

💡Image to image

Image to image is a technique used in AI where an initial image is transformed into another through AI algorithms. The video script describes using this technique to take a normal image and transform it into a sheet of monsters, showcasing how it can be used to generate unique and creative outcomes.

💡Control net

A control net is a tool used in AI art generation that allows users to guide the AI's output by providing a base structure or shape. The speaker in the video uses a control net to maintain the structural integrity of the creature designs while infusing different concepts, demonstrating how it can help achieve non-generic results.

💡Creative decision making

Creative decision making involves the process of making choices that determine the direction and nature of a creative work. The video emphasizes that art is fundamentally about making decisions, and the speaker discusses how each choice can lead to more or less generic outcomes. The concept is illustrated through the iterative process of refining AI-generated images.

💡AI models

AI models refer to the algorithms and neural networks that drive AI applications. The script discusses how using the same AI model by everyone can lead to average and generic results. The video explores how customizing and guiding AI models can lead to more unique and non-generic creations.

💡Denoising strength

Denoising strength is a parameter in AI image generation that controls the level of noise reduction in the output image. The video script mentions adjusting the denoising strength to achieve a balance between detail and noise, which is crucial for refining the final look of the AI-generated creatures.

💡Control adapter

A control adapter is a tool used in conjunction with a control net to influence the AI's generation process. The speaker uses a control adapter to enforce certain structural aspects of the creature while allowing for creative freedom in other areas, as demonstrated in the video when shaping the monster's features.

💡Regional prompting

Regional prompting is an advanced technique hinted at in the video that allows for control over specific areas or 'regions' of an AI-generated image. The speaker provides a sneak peek at this upcoming tool, suggesting it will offer even greater control and enable the creation of more non-generic images.

💡Iterative process

The iterative process refers to the repeated cycles of generation, evaluation, and refinement in AI art creation. The video script describes an evolutionary process of generating, refining, and reworking AI images until the desired non-generic result is achieved.

💡AI training

AI training involves providing an AI model with data so it can learn and improve its performance. The video discusses the concept of training the AI to understand non-standard features, like a four-armed human, by showing it examples. This training helps the AI to generalize and produce more non-generic outcomes.


The event focuses on creating non-generic AI images, particularly in the realm of monster creation.

The speaker discusses the importance of avoiding generic outcomes in AI-generated art.

A technique is presented for generating ideas by starting with a base image and then infusing different concepts.

The process involves using an initial image to guide the structure while allowing for creative infusion through prompts.

An example transformation is shown, taking a basic shape and evolving it into a 'Tiger Raptor' creature.

The concept of using 'control adapters' to refine the shape and features of AI-generated creatures is introduced.

The audience is shown how to manipulate the AI by adjusting prompt weights to control the creature's appearance.

Adding details like horns to the creature is demonstrated, emphasizing the creative control available to the user.

The talk covers the idea of using AI as a tool for inspiration, rather than just a content generator.

The importance of creative decision-making in the art creation process is highlighted.

An artist's quote about art being about making decisions is shared to emphasize the role of the creator.

The challenge of being non-normative in AI art is addressed, especially when using text prompts.

A method for creating a 'vibrant feathered zebra manticore' is explored, showcasing the AI's ability to combine features.

The use of an 'IP adapter' to influence the AI's output towards a desired theme or style is demonstrated.

The concept of regional control or prompting is teased as an upcoming feature for more precise creative direction.

A sneak peek at the 'regional prompting' tool shows its potential for detailed and specific creative control.

The session concludes with a Q&A, inviting audience interaction and further discussion on non-generic AI image creation.