A.I. ART TUTORIAL - DEEP DREAM Generator

IroPagis
18 May 202116:38

TLDRThis video tutorial introduces viewers to the Deep Dream Generator, an AI art tool capable of producing stunning visuals. The host emphasizes the importance of testing various settings and images, recommending 'Deep Style' over 'Thin Style' for more versatile outputs. Tips are given for selecting style images, adjusting settings like resolution, enhanced clarity, and iteration boost to optimize energy usage and achieve high-quality results. The video also compares Deep Dream Generator to Art Breeder, highlighting the former's ability to create more polished and potentially sellable artwork. The host shares insights on how AI can revolutionize art creation, making it more accessible and less time-consuming. The summary concludes with a call to subscribe for more AI-related content and thanks viewers for their support.

Takeaways

  • 🎨 Use Deep Style for creating a variety of images, as Thin Style is more like a Photoshop filter with limited options.
  • 🖌️ When choosing a style image, consider the value range to maintain a sense of volume in the final render.
  • 📈 Go for Deep Style Version Two as it seems to be more reliable in terms of cost and offers identical results to Version One.
  • 🔍 A resolution of 0.36 is recommended for saving energy, with the option to increase it later if needed.
  • 🆓 Set the enhancement to medium as it's free and improves image clarity without affecting the AI's interpretation.
  • 🔄 Iteration Boost should be set to 0.6 to save energy without significantly impacting the final result.
  • ⚖️ Style Weight can be left at 50% or adjusted lower for less dramatic results, but avoid higher values to prevent loss of sharpness.
  • 🔲 Style Scale and Preserve Colors are free to adjust, but be cautious as high Style Scale can lead to repetitive patterns.
  • 📉 To save energy, start with a smaller resolution and lower cost settings, then increase them for the final render if desired.
  • 💰 Publish your dreams daily to level up and gain access to higher resolution images without spending money.
  • 🌐 For those on a budget, Art Breeder offers a versatile and cost-effective alternative for creating various types of art.

Q & A

  • What is the primary focus of the video?

    -The video focuses on demonstrating and explaining how to use the Deep Dream Generator, an AI art generator, efficiently and effectively to create beautiful images.

  • Why is it recommended to use 'Deep Style' instead of 'Thin Style'?

    -It is recommended to use 'Deep Style' because 'Thin Style' is more like a Photoshop filter with only a few set options, which seems pointless for creating diverse and unique images.

  • What is the significance of choosing a style image with the same value range as the original image?

    -Choosing a style image with the same value range as the original helps to maintain a more sense of volume in the final render and ensures that the darkest areas of the original image are not unnecessarily turned black.

  • Why is the 'Deep Style Version Two' preferred over 'Deep Style Version One'?

    -The 'Deep Style Version Two' is preferred because it is free and does not have the pricing bugs that sometimes occur with 'Deep Style Version One', and the results appear to be identical.

  • How does the 'Enhanced' setting affect the image quality and energy cost?

    -The 'Enhanced' setting improves the clarity of the image by removing noise and making shapes more readable. Choosing 'High' for enhancement is free, while 'Extra High' costs 5 energy.

  • What is the recommended setting for 'Iteration Boost' to save energy without significantly compromising the result?

    -The recommended setting for 'Iteration Boost' is 0.6, as it saves 40 percent of the energy and makes a very small difference in the end result.

  • Why might a higher 'Style Weight' setting not be ideal for most renders?

    -A higher 'Style Weight' setting can cause the original image to lose its sharpness and details, making it less suitable for images where the original structure and clarity are desired.

  • How does the 'Preserve Colors' setting work and when might it be preferable to turn it off?

    -The 'Preserve Colors' setting ensures that the colors come entirely from the original image, with only the textures changing. It can be turned off if one prefers to edit the colors later using editing software, providing more flexibility.

  • What is the advantage of publishing dreams every day on the platform?

    -Publishing dreams every day helps to level up to higher ranks like 'Dreamer' and 'Deep Dreamer', which in turn allows for the creation of higher resolution images and faster fulfillment of requirements.

  • How does the 'Art Breeder' platform differ from the 'Deep Dream Generator'?

    -Art Breeder is more versatile, allowing for the creation of characters, portraits, landscapes, and other elements. It is also faster and more interactive, with quicker feedback on changes to settings.

  • What potential does the AI art generator have for the future of art and artists?

    -The AI art generator has the potential to reduce repetitive tasks for artists, allowing them to create more unique and complex works. It can also make art forms like animations and games more accessible to individuals or small teams.

Outlines

00:00

🎨 Optimizing AI Art Generator Settings

The first paragraph introduces an AI art generator capable of creating beautiful images. It emphasizes the importance of testing different settings to find what looks good. The speaker advises using the 'deep style' setting for the most versatile and high-quality results, as 'thin style' is limited and 'deep dream' creates only psychedelic images. Tips are provided for choosing a style image that complements the original without unwanted black areas. The importance of high-quality, large images for both the style and original pictures is highlighted. The speaker also shares specific settings for energy-efficient and high-quality rendering, such as using 'deep style version two', a resolution of 0.36, 'medium' for enhancement, an iteration boost of 0.6, and style weight at fifty percent. The paragraph concludes with advice on preserving colors and the potential for using editing software for further adjustments.

05:01

📉 Energy Efficiency and Render Quality

The second paragraph discusses the energy costs associated with different render settings and how to balance quality with energy efficiency. It details how reducing the resolution and using the iteration boost feature can significantly lower the energy cost without substantially changing the AI's interpretation of the image. The speaker also talks about the possibility of publishing 'dreams' to gain access to higher resolutions and the benefits of the 'dreamer' and 'deep dreamer' ranks. The paragraph further explores the option of increasing the resolution of a liked render and the automatic energy deduction that comes with it. It concludes with a suggestion to start a new render if one is satisfied with the test results and a reminder of the importance of using copyright-free or owned images when claiming the AI-generated art as one's own.

10:03

🚀 Expanding Creativity with AI Art

The third paragraph expands on the transformative potential of AI in the art industry. It talks about how AI can take over repetitive tasks, allowing artists to produce more work and explore more creative projects like animations and games. The speaker expresses hope that AI will make these art forms more accessible to individuals and small teams. The paragraph then compares the AI art generator with 'Art Breeder', highlighting the versatility of the latter in creating characters, portraits, and landscapes. It also mentions the user-friendly aspect of Art Breeder, which allows for quick adjustments and immediate feedback. The speaker shares personal experiences with both platforms and suggests that while Art Breeder is more fun and faster, the AI art generator is better for creating high-quality, finished artwork that could be sold or displayed.

15:04

📈 Cost-Effectiveness and Future Content

The fourth and final paragraph touches on the cost-effectiveness of using the AI art generator, calculating the number of renders possible within a month based on daily energy points. It suggests that with consistent use and smart energy management, the cost of creating artwork through the AI generator can be comparable to that of Art Breeder. The speaker expresses interest in creating more content about AI in the future and appreciates the support from viewers, particularly those who commented on a previous Clip Studio tutorial. The paragraph ends with a thank you note and a promise to return with more content in the future.

Mindmap

Keywords

💡AI Art Generator

An AI Art Generator is a software tool that uses artificial intelligence to create artwork. In the context of the video, the AI Art Generator is described as 'impressive' and 'capable of creating genuinely beautiful stuff,' indicating that it is a central focus of the tutorial. The video explores how to use the generator effectively to produce high-quality images.

💡Deep Style

Deep Style is a feature within the AI Art Generator that allows users to apply stylistic patterns to their images, creating a unique blend of the original image and the chosen style. The video emphasizes using 'Deep Style' over 'Thin Style' for more versatile and less limited results.

💡Style Image

A Style Image is a reference image that influences the artistic style applied to the original image in the AI Art Generator. The video advises on choosing a style image that matches the value range of the original image to maintain a sense of volume and visual coherence.

💡Resolution

Resolution in the context of the video refers to the pixel dimensions of the generated image. The script discusses the trade-off between image quality and the energy cost associated with rendering images at different resolutions, with higher resolutions consuming more energy.

💡Enhanced

The term 'Enhanced' relates to a setting within the AI Art Generator that improves the clarity and readability of the generated image by removing noise. The video mentions that setting it to 'medium' is free and recommended for better image quality without additional energy cost.

💡Iteration Boost

Iteration Boost is a parameter in the AI Art Generator that increases the processing power applied to the image generation, potentially improving the result's quality. However, the video suggests that setting it to 0.6 saves energy without significantly affecting the final outcome.

💡Style Weight

Style Weight is a setting that determines the influence of the style image on the final render. The video indicates that varying this setting does not dramatically change the results, suggesting that the default or slightly lower values are sufficient.

💡Preserve Colors

Preserve Colors is an option that allows the AI Art Generator to maintain the original image's colors while applying the style. The video suggests that this feature can be turned off as the original colors can be reintroduced using editing software if needed.

💡Dream Page

The Dream Page is a part of the AI Art Generator interface where users can manage their generated images, including increasing their resolution once a preferred render is selected. The video describes it as a step for users who decide to upscale their renders after initial creation.

💡Publishing Dreams

Publishing Dreams is a strategy mentioned in the video for users to level up within the AI Art Generator platform, which in turn allows for the creation of higher resolution images. It involves sharing one's generated images to meet certain requirements and gain access to more features.

💡Art Breeder

Art Breeder is another AI-based art creation tool compared to the AI Art Generator in the video. It is described as versatile, allowing for the creation of characters, portraits, landscapes, and other elements. The video contrasts Art Breeder with the AI Art Generator, noting that while both are valuable, they serve different artistic needs.

Highlights

The video discusses an impressive AI art generator capable of creating genuinely beautiful artwork.

Most of the time will be spent making tests due to the trial-and-error nature of finding good image combinations.

The Deep Style setting is preferred over Thin Style for its broader range of creative options.

When choosing a style image, it should ideally have the same value range as the original to maintain volume.

High-quality, large images are recommended for both style and original to improve render quality.

Deep Style Version Two is suggested over Version One due to potential pricing bugs and lack of instruction.

The resolution setting of 0.36 is recommended for energy-efficient rendering.

Enhanced should be set to medium for clarity and noise reduction, as it is free regardless of other settings.

Iteration Boost should be set to 0.6 to save energy without significantly affecting the result.

Style Weight can be left at fifty percent unless aiming for a very abstract result.

Style Scale and Preserve Colors are free settings, but their impact on the final render is minimal.

Publishing dreams daily helps level up and access higher resolution image creation.

For those without funds, publishing 20 dreams, maintaining a 7-day account, and gaining 200 likes can unlock 1.2 megapixel image creation.

The final render should be done at the highest accessible size, with enhanced set to high for better quality.

Art Breeder is compared as a more versatile and faster alternative, suitable for creating characters, portraits, and landscapes.

Art Breeder offers 200 high-resolution downloads for $9, providing a lot of content for the price.

Deep Dream Generator is praised for its ability to create finished-looking artwork suitable for hanging on a wall.

The video suggests that AI can help artists produce more work by automating repetitive tasks.

The potential of AI in making art forms like animation and games more accessible is highlighted.

The video offers a Google Sheets document link in the description to help viewers calculate energy costs.