Make AI Magic with Just One Photo - Playground AI Tutorial

Playground AI
21 May 202308:32

TLDRIn this video, the presenter introduces various techniques to creatively utilize reference photos with AI image generation tools. They demonstrate how to use filters like 'Realistic Vision' and 'Dream Shaper' to modify and enhance images, while also showing methods to maintain key features such as perfect hands through masking. The video encourages viewers to experiment with image strength and different filters to achieve desired results, highlighting the potential and limitations of AI in photorealism.


  • 🎨 Utilize reference photos to create variations and enhance the composition of your images.
  • 🖼️ Import desired reference images into the image-to-image panel by clicking the plus button.
  • 🌟 Choose appropriate filters, such as 'Realistic Vision', for achieving photorealistic results.
  • 📜 Maintain prompt guidance between three to seven for optimal filter performance.
  • 🔍 Quality and detail settings can be kept low (25-30) due to the filter's training.
  • 🖌️ Euler ancestral is a beneficial sampler for generating images.
  • 📸 Experiment with image strength levels (e.g., 20, 95) to balance creativity and originality.
  • 👤 Honor the original person in the photo by using high image strength and masking techniques.
  • 🤳 Use the 'In paint' action to manually select and preserve specific areas of the image.
  • 🌈 Explore different filters like 'Dream Shaper' for unique visual effects and styles.
  • 🔄 Copy and import images into Canvas for further editing and variation generation.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about utilizing reference photos with AI image generation techniques to create variations and enhance creativity in the images produced.

  • How does the video demonstrate the use of reference photos?

    -The video demonstrates the use of reference photos by importing them into the AI system, using them as a base to create variations, and adjusting settings like image strength and filters to modify the generated images.

  • What is the first method introduced in the video for using reference photos?

    -The first method introduced is using the reference photo for composition and creating variations based on it. This involves selecting a filter, such as 'Realistic Vision', and adjusting prompt guidance and quality settings.

  • What are the advantages of using the 'Realistic Vision' filter according to the video?

    -The 'Realistic Vision' filter is great for photorealism and works best with prompt guidance between three to seven. It benefits from low quality and detail settings, around 25 to 30, and treats hands better than some other filters.

  • How can one achieve more creative variations in the generated images?

    -To achieve more creative variations, one can adjust the image strength to a lower value, such as 20, which allows for more creativity in the outfit and surroundings of the generated images.

  • What is the workaround shown in the video to honor the original person in the photo?

    -The workaround involves increasing the image strength to 95, duplicating the original image, and then using the 'in paint' action to mask around the areas that should be kept intact, such as the face and hands.

  • How does the video address the limitations of AI image generation?

    -The video acknowledges that AI image generation isn't perfect and that there may be imperfections, such as odd-looking arms, even when hands look good. It suggests that users may need to re-roll the generation process to achieve better results.

  • What is the 'Dream Shaper' filter used for in the video?

    -The 'Dream Shaper' filter is used to create a 2.5D look, and it can be combined with the reference image to produce variations that are both creative and somewhat resemble the original subject.

  • How does the video show the application of the discussed techniques on a different platform?

    -The video demonstrates the application of the discussed techniques on 'Canvas' by importing the image through a copied link, using the Eraser tool to modify the image, and generating new variations with different filters.

  • What additional tool is introduced in the video for fine-tuning the generated images?

    -The video introduces the 'Eraser' tool, which is used to delete unwanted areas of the image and fine-tune the details, such as perfecting the hands and other features.

  • What is the final advice given by the speaker regarding the use of the new filters?

    -The speaker advises viewers to experiment with the new filters, play around with the image strength settings, and share their thoughts and experiences with the filters in the comments section.



🎨 Utilizing Reference Photos for Creative Image Variations

This paragraph introduces viewers to techniques for using reference photos to create image variations. It explains how to import a reference photo and select a filter, such as 'Realistic Vision,' which is ideal for photorealistic outputs. The importance of prompt guidance and quality settings is highlighted, along with the benefits of using Euler ancestral as a sampler. The paragraph also demonstrates how adjusting image strength can affect the creativity and variation in the generated images. Additionally, it provides a workaround for honoring the original subject in the photo by duplicating the image, using the 'In Paint' action to mask and retain specific features, and generating new images with those masked areas. The limitations of AI image generation are acknowledged, emphasizing that results may not always be perfect and may require multiple attempts.


🌟 Exploring Creative Possibilities with Dream Shaper and Canvas

The second paragraph delves into alternative ways to use reference photos for creative purposes. It discusses the use of the 'Dream Shaper' filter to create a stylized, 2.5D look and how adjusting the image strength can bring the generated image closer to the original subject while maintaining the filter's aesthetic. The paragraph then transitions to using the 'Canvas' platform, where the copied image link is imported, and the 'Eraser' tool is employed to refine the image by removing unwanted areas. The process results in an image with intact features such as the hands and face, alongside new hairstyles, outfits, and environments. The paragraph concludes with a brief mention of the user's photography work and an invitation for viewers to share their thoughts on the new filters and their potential benefits. The creator also encourages viewers to look forward to upcoming videos that will cover these topics in more depth.



💡Reference Photos

Reference photos are existing images used as a guide or inspiration for creating new images. In the video, the speaker uses a reference photo to create variations and maintain certain elements from the original image, such as outfit and color, to generate new, creative images. This technique allows for the preservation of key visual elements while introducing new ideas and styles.


Composition refers to the arrangement of visual elements within an image. It is a crucial aspect of photography and image creation that determines the overall balance, focus, and visual appeal of a piece. In the video, the speaker emphasizes using the composition of a reference photo to one's advantage, suggesting that a well-composed image can serve as a strong foundation for variations and creative exploration.

💡Realistic Vision

Realistic Vision is a filter or tool used in the image generation process to produce photorealistic outputs. It is designed to create images that closely resemble real-life photographs, focusing on details and accuracy. The video highlights the effectiveness of the Realistic Vision filter for achieving lifelike results, particularly when combined with prompt guidance and quality settings.

💡Prompt Guidance

Prompt guidance refers to the input or instructions provided to the AI system to guide the generation process towards a specific outcome. It is a critical component in AI image creation that helps to shape the final result according to the user's desires. In the video, the speaker mentions using a prompt guidance of three to seven, with five being used for the demonstration, to achieve desired variations of the reference photo.

💡Image Strength

Image strength is a parameter that influences the degree of variation or creativity introduced in the generated images. A higher image strength value leads to more significant changes and a more creative output, while a lower value results in images that are closer to the original reference photo. The video demonstrates how adjusting image strength can yield different levels of creativity and adherence to the original image.

💡Euler Ancestral

Euler Ancestral is mentioned as a sampler used in the image generation process. A sampler in this context is an algorithmic technique that helps to create or 'sample' new images from existing data. While the video does not provide extensive details about Euler Ancestral, it is implied to be a component that contributes to the diversity and uniqueness of the generated images.

💡In Paint

In Paint refers to an action within the image editing process where the user manually selects and paints over areas of the image to manipulate. In the video, this action is used to duplicate the original image and to mask or keep certain areas intact while allowing the AI to generate variations in other parts. This technique enables the user to maintain specific elements, such as perfect hands, while introducing new creative elements.

💡Dream Shaper

Dream Shaper appears to be a filter or tool used to create images with a stylized, fantastical, or 'two and a half D' look. It is used to alter the appearance of the generated images, giving them a distinctive and artistic style that differs from photorealism. The video suggests that Dream Shaper can be combined with reference photos to produce creative variations that retain some characteristics of the original subject.


Canvas refers to a digital platform or tool where users can import, edit, and generate images. In the video, the speaker demonstrates how to use Canvas to import a reference image, manipulate it using the Eraser tool, and generate new images with different filters. Canvas serves as a versatile workspace for creative image editing and generation.

💡Rev Animate

Rev Animate seems to be a filter or feature that adds a dynamic, animated quality to the generated images. Although the video does not provide extensive details, it suggests that Rev Animate can enhance the photorealism of the images and give them a different stylistic appearance. The speaker uses this filter to show how it can create variations that are distinct from the original photo while maintaining a lifelike quality.


Utilizing reference photos to create variations in image composition.

Importing a reference photo by clicking the plus button and selecting the desired image.

Using the 'Realistic Vision' filter for photorealism, which works best with prompt guidance between three to seven.

Maintaining quality and detail at low settings (25-30) for the 'Realistic Vision' filter due to its training.

The 'Realistic Vision' filter's ability to better handle hands in generated images compared to standard stable diffusion 1.5.

Adjusting the image strength to 20 for more variation and creativity in the generated images.

Honoring the original person in the photo by duplicating the image and using the 'In paint' action to mask and keep desired areas.

Achieving perfect hands in the generated images by masking around the wrists and other desired areas.

Using the 'In paint' action to mask and generate images with more variation while keeping the original subject's face and hands.

Experimenting with different filters, such as 'Dream Shaper', to achieve a 2.5D look with the reference image.

Adjusting the image strength to get closer to the original look while maintaining the characteristics of the 'Dream Shaper' filter.

Applying the same concept in 'Canvas' by importing the image from a copied link and using the Eraser tool for adjustments.

The ability to recreate personal photos with AI image generation for a more natural and photorealistic outcome.

The potential of AI-generated images to provide creative variations while keeping certain elements intact, such as face and hands.

The importance of experimenting with different settings and filters to achieve desired results in AI image generation.

The discussion on the limitations of AI image generation, such as imperfections in rendering arms.

The presenter's experience in implementing AI in photography work and the potential for others to recreate their own photos.