Style transfer with Leonardo AI's STYLE REFERENCE feature is incredible!

Wade McMaster - Creator Impact
23 Apr 202406:38

TLDRThis video demonstrates how to use Leonardo AI's Style Reference feature to transfer styles between images, creating unique visuals. The presenter showcases various settings and their effects on image style, from subtle to dramatic, using different levels of influence. The feature is exclusive to Excel models, with recommendations for achieving better quality. The video also explores combining style transfer with other image guidance options like Edge to Image, offering creative control over AI-generated images. The summary highlights the potential for innovative applications, encouraging viewers to experiment with their own images and ideas.

Takeaways

  • 😲 The video demonstrates how to use Leonardo AI's style reference feature to transfer styles between images.
  • 👩‍🎨 The creator showcases an Angelic steampunk princess image made with Leonardo AI's lightning Excel and Alchemy settings.
  • 🔗 Leonardo AI sponsors the video, and there's a link provided in the description for viewers to check out their services.
  • 🖼️ The style transfer process involves adding an image to influence the style of the output, with options to adjust the level of influence.
  • 🍑 The default style reference setting is 'high,' which gives a balanced style transfer effect, as shown in the example images.
  • 🔍 Different levels of style transfer (low, medium, high, ultra, max) are tested to see how they affect the final image's appearance.
  • 🌟 The 'ultra' setting provides a strong style influence, closely matching the reference image's aesthetic.
  • 🚫 The 'max' setting can be too intense, causing a loss of detail due to the simplicity of the reference image.
  • 🎨 Experimentation with different images and settings (like 'ultra') shows a significant impact on the final image's style and elements.
  • 📸 The style transfer feature works exclusively with Excel models or lightning Excel models, which may result in softer image generations.
  • 🛠️ Image guidance allows combining style reference with other image prompts like edge or pose to image for more control over the final image.
  • 🏙️ Examples given include applying styles to photographs, creating mockups, and converting images into different art styles like neon or Renaissance painting.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is demonstrating how to use the style transfer feature in Leonardo AI to create images by transferring style from one image to another using the style reference feature.

  • What type of image is used as an example in the video?

    -An Angelic steampunk princess image is used as an example in the video to demonstrate the style transfer process.

  • What are the basic settings mentioned in the video for getting started with style transfer in Leonardo AI?

    -The basic settings mentioned are 'Dynamic' and 'Leonardo lightning Excel and Alchemy', which are used to initiate the style transfer process.

  • How does the video demonstrate the process of adding a style transfer to an image?

    -The video demonstrates the process by navigating to 'image guidance', adding an image to influence the style of the output, and then adjusting the style reference level from low to max to see the variations.

  • What is the purpose of the 'style reference' feature in Leonardo AI?

    -The 'style reference' feature in Leonardo AI allows users to transfer the style of one image to another, influencing the output's appearance based on the selected style image.

  • What are the different levels of style influence provided by the style reference feature?

    -The different levels of style influence provided are low, medium, high, ultra, and max, which determine the degree to which the style of the reference image affects the output.

  • What limitations are mentioned regarding the use of the style reference feature with different models in Leonardo AI?

    -The style reference feature only works with Excel models or lightning Excel models, and using lightning models may result in softer generations for better quality, suggesting the use of non-lightning models for more detailed results.

  • How can the style reference feature be combined with other image guidance options in Leonardo AI?

    -The style reference feature can be combined with other image guidance options such as 'Edge to image' to maintain the layout of the input image while applying the style from the reference image.

  • What are some creative applications of the style transfer feature shown in the video?

    -Some creative applications shown include applying art styles to photographs, creating mockups with a blank t-shirt, and converting images into styles like neon, chalk, drawing, or even Renaissance painting.

  • What is the final recommendation made by the video creator regarding the use of the style transfer feature?

    -The final recommendation is to encourage viewers to use their imagination and the style transfer feature to create unique and creative images, as the possibilities are vast and only limited by one's creativity.

Outlines

00:00

🎨 Image Style Transfer with Leonardo AI

This paragraph introduces the process of using Leonardo AI's style reference feature to transfer the style from one image to another. The speaker demonstrates how to create an 'Angelic steampunk princess' image using basic settings and the style transfer feature. It highlights the sponsorship of Leonardo AI and the steps to add a style transfer, including selecting an image and choosing the level of influence it has on the output. The results are compared to the original images, showing the effectiveness of the style transfer at different intensity levels.

05:02

🌈 Advanced Image Manipulation Techniques

The second paragraph delves into more advanced techniques using Leonardo AI, such as combining style images with other image guidance options like 'Edge to image' to maintain the layout of the input image while applying a new style. It also mentions the limitations of the feature, which only works with Excel or lightning Excel models, and the recommendation to use non-lightning models for better quality. The speaker provides examples of applying different styles to various images, such as a neon style to a building, chalk or drawing styles to a photograph, and even converting images into Renaissance paintings. The paragraph concludes by encouraging viewers to explore their creativity using the style transfer feature, thanks to the sponsor, and ends with a call to action for likes and a farewell.

Mindmap

Keywords

💡Style Transfer

Style transfer is a technique in digital art and machine learning that involves applying the visual style of one image to another while retaining the content of the original image. In the video, style transfer is used to transform an image of an 'Angelic steampunk princess' by using the style reference feature in Leonardo AI. The process involves blending the style of a chosen reference image with the generated image to create a new artwork that combines both visual elements.

💡Leonardo AI

Leonardo AI is the software mentioned in the video that facilitates the creation of images through artificial intelligence. It is used to demonstrate the style transfer process, where the AI takes input images and generates new images based on specified styles and settings. The video showcases the capabilities of Leonardo AI in creating unique images by transferring styles and combining different image guidance techniques.

💡Image Guidance

Image guidance is a feature within Leonardo AI that allows users to direct the AI's image generation process by providing additional images as references. In the context of the video, image guidance is used to influence the style and elements of the generated image. For example, the presenter adds an image to guide the style of the output, demonstrating how the AI can incorporate the style of the reference image into the new artwork.

💡Style Reference

Style reference is a specific function within the image guidance feature of Leonardo AI. It enables users to select an image that will influence the style of the generated artwork. The video explains how to use style reference to adjust the intensity of the style transfer, with options ranging from low to max, and how it affects the final image, as seen when comparing the original with the style-influenced images.

💡Lightning Excel

Lightning Excel refers to a model within Leonardo AI that is used for generating images. The presenter mentions using the Lightning Excel model to create the initial images and then applying style transfer techniques on them. The model is noted for producing softer generations, which can be preferable for certain styles but may require non-lightning models for better quality in other cases.

💡Dynamic Settings

Dynamic settings in the video refer to adjustable parameters within Leonardo AI that users can modify to achieve different visual effects in the generated images. The script mentions these settings as a starting point for the style transfer process, suggesting that they can be tweaked to control aspects like color, lighting, and detail in the final artwork.

💡Pose to Image

Pose to image is another image guidance feature that allows users to align the pose of a generated image with a reference image. In the video, the presenter discusses using this feature to maintain the layout of the input image while applying a different style to it, showcasing how it can be used to create images that have both a specific style and a desired composition.

💡Edge to Image

Edge to image is a feature that enables the AI to use the edges or outlines of a reference image as a guide for the generated image. The video demonstrates how this feature can be used to create images that have the same structural elements as the reference but with a completely different style, such as applying a neon style to a building.

💡Mockups

Mockups in the context of the video refer to the process of creating sample images that show how a design might look when applied to a product or scene. The presenter mentions using the edge to image feature to create mockups on a blank t-shirt, indicating how Leonardo AI can be used for practical applications in design and visualization.

💡Art Styles

Art styles in the video pertain to the various visual aesthetics that can be applied to images using Leonardo AI's style transfer capabilities. Examples given include chalk style, drawing style, and Renaissance painting, which demonstrate the versatility of the AI in mimicking different artistic techniques and applying them to photographs or other images.

Highlights

Leonardo AI's Style Reference feature allows for style transfer between images.

Demonstration of creating Angelic steampunk princess images using Leonardo AI.

Use of Leonardo lightning Excel and Alchemy for basic settings.

Leonardo AI sponsors the video, with a link provided in the description.

Adding an image to influence the style of the output through image guidance.

Comparing the original and style-transferred images to observe the changes.

Adjusting the style influence with options like low, medium, high, Ultra, and Max.

Observing the impact of different settings on the style transfer effect.

Experimenting with various images and the Ultra setting for style application.

Limitations of the feature, working only with Excel or lightning Excel models.

Combining style reference with other image guidance options like Edge to image.

Using style transfer to maintain the layout of the input image.

The power of control over AI in image generation compared to random outcomes.

Examples of using Edge to image for creating mockups or applying styles to photographs.

Applying art styles like chalk or drawing to photographs for unique results.

Converting photographs into styles like Renaissance paintings.

Impressive results from applying style transfer to cityscapes and 3D renders.

Encouragement to explore creativity using style transfer with one's own images.

Thanks to Leonardo AI for sponsoring and a call to action for viewers to check them out.

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