Increase REALISM of 3D images with Magnific AI

Nuno Silva
8 May 202409:08

TLDRIn this tutorial, viewers are introduced to Magnific AI, a tool that enhances the realism of 3D renders through upscale and style transfer features. The video, in collaboration with Vasilis from VW Art Club, demonstrates the step-by-step process of transforming a clay render into a hyper-realistic image. The process involves several iterations with different settings in Magnific AI, such as adjusting creativity, HDR, resemblance, and fality properties, to achieve the desired level of detail and realism. The tutorial emphasizes the importance of tweaking and experimenting to get the best results, which are then merged in Photoshop for the final look. The use of style transfer is highlighted as a powerful way to refine and enhance specific parts of the image, such as vegetation, glass reflections, and textures. The final result showcases a significant improvement over the original render, with a more interesting and visually appealing image. The video encourages viewers to share their thoughts on the workflow and the role of AI in architecture and design.

Takeaways

  • 🎨 **AI Post-Production:** The video demonstrates using Magnific AI to enhance 3D renders, making them look almost like real photos.
  • 🤖 **Tool Features:** Magnific AI offers two main features: 'upscale' for improving image resolution and 'style transfer' for applying styles from one image to another.
  • 📈 **Upscale Process:** The 'upscale' feature not only increases image resolution but also allows tweaking various settings to add AI-driven creativity.
  • 🔄 **Style Transfer:** This fascinating feature transforms a simple render into a realistic image by applying the style of any chosen image.
  • 🚧 **Work in Progress:** The AI process isn't magic; it requires several iterations and manual adjustments to achieve the best results.
  • 📸 **Image Quality:** For the upscale feature, it's recommended to start with an image resolution of up to 2K to avoid wasting credits.
  • 🔧 **Tweaking Settings:** Experimenting with settings like 'creativity', 'HDR', 'resemblance', and 'fality' is crucial for achieving the desired outcome.
  • 🌳 **Vegetation Details:** The AI can significantly improve the appearance of vegetation, making it look more realistic and detailed.
  • 🏡 **Hyper-Realistic Prompts:** Using detailed prompts like 'hyper-realistic rendering of a modern house' can guide the AI to produce more realistic results.
  • 📉 **Balancing Values:** High values for creativity can lead to unexpected results, so it's important to balance the settings to maintain the original image's essence.
  • 🖼️ **Final Touches:** The final image is polished by fine-tuning details, adjusting parts of the image, and ensuring everything blends well for a visually appealing result.
  • ⏱️ **Time Investment:** The process can be time-consuming, potentially taking up to an hour, but it significantly improves the final image quality.

Q & A

  • What is the main focus of the tutorial video?

    -The tutorial focuses on using Magnific AI to enhance 3D renders and make them appear more realistic through AI post-production techniques.

  • Who collaborated with the presenter in this video?

    -The presenter collaborated with Vasilis from VW Art Club, a popular Facebook group for 3D artists and architects.

  • What are the two main features of Magnific AI mentioned in the video?

    -The two main features of Magnific AI mentioned are 'upscale' and 'style transfer'.

  • What does the 'upscale' feature of Magnific AI allow users to do?

    -The 'upscale' feature allows users to increase the resolution of their images and tweak various settings to add AI-driven creativity.

  • How does the 'style transfer' feature work?

    -The 'style transfer' feature allows users to apply the style of any image onto their own, transforming the look of their renders.

  • What is the general process for using Magnific AI?

    -The process involves several steps: loading the image, adjusting settings like creativity and HDR, experimenting with different generations, and finally merging the results in Photoshop for the final look.

  • Why is it important to experiment with different settings in Magnific AI?

    -Experimenting with different settings is crucial because AI does not produce the same results each time, and tweaking settings helps achieve the desired level of realism and detail.

  • What is the recommended maximum resolution for the input image in Magnific AI?

    -The recommended maximum resolution for the input image is 2K to avoid wasting too many credits on the scale factor.

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  • What is the role of the creativity slider in the AI upscaling process?

    -The creativity slider allows the AI to hallucinate additional details, which can increase realism but also moves the result further away from the original image.

  • How does the resemblance property affect the AI generation?

    -Increasing the resemblance property makes the generation closer to the original image, but very high values can create artifacts, while lower values give more freedom to the AI at the cost of deviating from the original.

  • What is the final step in the process of enhancing the 3D render using AI?

    -The final step is to fine-tune the image in Photoshop, addressing small areas and making adjustments to ensure everything blends well and enhances the overall visual appeal.

  • What is the purpose of maintaining texture repetition in the final image?

    -Texture repetition is kept on purpose to maintain a subtle 3D feel in the final image, which adds depth and realism.

  • What is the general time investment required for this AI-enhancing process?

    -The process might take up to an hour if you go through several generations and then move on to the style transfer.

Outlines

00:00

🎨 Introduction to AI Post-Production with Magnific AI

This paragraph introduces a tutorial on enhancing renders using AI post-production techniques. The video is a collaboration with Vasilis from the VW Art Club, a Facebook group for freelance artists and architects. They selected a project to demonstrate the process of transforming a simple render into a realistic image using AI. The tool of choice is Magnific AI, which offers two main features: 'upscale' for enhancing image resolution and tweaking settings, and 'style transfer' for applying the style of one image to another. The process involves several iterations with different settings and concludes with merging the results in Photoshop for the final output. The goal is to add detail and realism to the renders, but it requires some manual work and experimentation to achieve the best results.

05:01

📈 Enhancing Realism with AI: Steps and Iterations

The second paragraph delves into the step-by-step process of using Magnific AI to add realism to a render. It starts with an upscale of the raw render, where the image is loaded into the tool with a recommended resolution of 2K. The tutorial covers the optimization settings, such as creativity, HDR, resemblance, and fality, each with specific effects on the final image. The process includes experimenting with different settings to achieve the desired level of detail and realism. The paragraph also discusses the use of a detailed prompt to guide the AI in generating more realistic results. It highlights the iterative nature of the process, emphasizing the importance of fine-tuning and merging different generations of AI-enhanced images in Photoshop. The goal is to refine specific parts of the image, like glass and vegetation, to enhance texture and detail. The paragraph concludes with the use of style transfer to achieve a hyper-realistic rendering, pulling out details and textures that were not pronounced in the original image.

Mindmap

Keywords

💡3D images

3D images refer to visual representations that provide a three-dimensional depth effect, which makes the objects appear more realistic and closer to how they would look in real life. In the video, 3D images are the subject of enhancement using AI technology to increase their realism.

💡AI post-production

AI post-production involves using artificial intelligence to edit and refine visual content, such as images or videos, after the initial creation process. In the context of the video, AI post-production is used to transform 3D renders into more realistic images.

💡Magnific AI

Magnific AI is a tool mentioned in the video that is used for enhancing the quality and realism of images. It features capabilities such as upscaling and style transfer, which are used to improve the resolution and apply different styles to images, respectively.

💡Upscale

Upscaling in the context of image processing refers to increasing the resolution of an image while maintaining or improving its quality. The video discusses using the upscale feature of Magnific AI to boost the resolution and tweak settings for added creativity.

💡Style Transfer

Style transfer is a technique in AI that allows the application of the visual style of one image to another. This is showcased in the video where the style of a clay render is transferred to enhance the realism of a 3D image.

💡Render

A render in 3D graphics is a computer-generated image or simulation created with software. The video script describes the process of taking a render and using AI to make it look more like a real photograph.

💡Creativity Slider

The creativity slider is a control within the Magnific AI tool that allows users to adjust the level of AI-driven creativity applied to an image. A higher setting can result in more detailed and realistic images but may also lead to more significant deviations from the original image.

💡HDR (High Dynamic Range)

HDR in image processing stands for High Dynamic Range and is used to enhance the luminosity and color of an image. In the video, adjusting the HDR setting is part of the process to increase the definition and detail of the 3D renders.

💡Resemblance

Resemblance, in the context of the video, refers to how closely the AI-generated image maintains the characteristics of the original image. The lower the resemblance value, the more freedom the AI has to alter the image, potentially leading to more creative but less similar results.

💡Fality

Fality, as mentioned in the video, seems to be a term related to the illusion engine within Magnific AI, which might affect the rendering of details and the overall feel of the image. A lower value can result in fewer glitches but less detail.

💡Photoshop

Photoshop is a widely used image editing software by Adobe. In the video, it is used to merge and fine-tune the different AI-generated images into a final, cohesive, and realistic render.

Highlights

The tutorial demonstrates how to enhance 3D renders with AI post-production using Magnific AI.

Magnific AI offers two main features: upscale and style transfer.

Upscale can boost image resolution and add AI-driven creativity.

Style transfer allows applying the style of any image to your own.

AI transformation can add significant detail and life to a simple clay render.

No instant magic; tweaking and experimenting with settings are required for best results.

Process involves multiple iterations, usually five or six, with different settings.

Final look is achieved by merging all iterations in Photoshop.

Upscale feature allows loading images up to 2K resolution for optimal results.

Creativity slider in upscale can hallucinate additional details for greater realism.

HDR property increases image definition and detail, but high values may create artifacts.

Resemblance property makes the generation closer to the original image.

Fality property affects detail and can reduce glitches at lower values.

Illumination engine can be experimented with to find the best fit for the image.

Style transfer can significantly alter the look of an image to enhance details and textures.

Small touches like refining glass reflections and foreground vegetation can greatly enhance the image.

Depth and interest can be added to the image by introducing new elements like water pebbles and distant vegetation.

Texture repetition is intentionally maintained to preserve a subtle 3D feel.

The workflow involves layering techniques and can take up to an hour for several generations and style transfer.

Investing time in this process can significantly improve the final image quality.