Easy Guide To Ultra-Realistic AI Images (With Flux)

Matt Wolfe
12 Aug 202413:12

TLDRThe video explores the impressive advancements in AI-generated images with Flux, highlighting the ultra-realistic results that are now possible. It discusses the use of stable diffusion 3 and the integration of Aurora, a low-rank adapter, to enhance image quality and realism. The script also delves into the process of animating these images into videos using Runway ML and Lum's Dream Machine, showcasing the potential and challenges of creating convincing AI-generated content.

Takeaways

  • 😲 AI-generated images have recently become incredibly realistic, making it difficult to distinguish them from real photos.
  • 🎨 The images showcased are from Stable Diffusion 3 and Flux, which are known for their high-quality and realistic outputs.
  • 🤖 Flux is particularly impressive for creating ultra-realistic images, often lacking the perfect composition of professional photography, giving them a natural, snapshot feel.
  • 🔍 Despite the overall quality, some images may have imperfections, such as off proportions when more body parts are included.
  • 👁️‍🗨️ The video also discusses the use of Reddit as a source for finding impressive AI-generated images and the community's efforts to enhance realism.
  • 🎭 People have started animating these realistic images, creating videos that are hard to tell apart from real footage without sound.
  • 🛠️ The use of 'Aurora', a low-rank adapter, is highlighted as a method to fine-tune and improve specific aspects of image generation, like skin texture and hair realism.
  • 🔧 The script mentions the limitations of using Flux within the Glyph app, which doesn't currently support adding 'Aurora' models for additional realism.
  • 🌐 The use of external platforms like f.aai and Comfy UI is suggested to access and utilize 'Aurora' models for enhanced image generation.
  • 💸 Using f.aai for AI model processing incurs a cost, but they provide initial credit for users to experiment with.
  • 🎥 The video concludes with a demonstration of animating AI-generated images using Runway ML and Gen 3 Alpha, resulting in realistic videos with minor imperfections.

Q & A

  • What is the main topic of the video script?

    -The main topic of the video script is the advancement in AI-generated images using Flux and the process of creating ultra-realistic images and videos with it.

  • What is Flux and how does it relate to AI-generated images?

    -Flux is an AI model that is renowned for creating highly realistic images. It is the foundational model that generates the images, which can then be further enhanced with additional tools or 'Aurora' models for more specific improvements.

  • What is an 'Aurora model' in the context of AI image generation?

    -An 'Aurora model' is a low-rank adapter that acts as a filter or plugin on top of the foundational image generation model like Flux. It allows for targeted improvements in image quality, style specificity, or character consistency without needing to retrain the entire model.

  • How does the script mention the use of Lum's Dream Machine in relation to AI-generated videos?

    -The script mentions that Lum's Dream Machine can be used to animate AI-generated images, turning them into realistic-looking videos, although the results may not be as good as those produced by Runway.

  • What is the significance of the 'guidance scale' setting when using Flux in the .aai site?

    -The 'guidance scale' setting in the .aai site is crucial for adjusting the realism of the AI-generated images. A lower setting, such as 2, can help avoid a shiny, plastic appearance and produce more realistic results.

  • What is the role of Runway in creating animated AI-generated videos?

    -Runway is a platform that can be used to animate AI-generated images, creating videos that appear ultra-realistic. It allows for the generation of video content that can be hard to distinguish from videos of real people.

  • Why might some AI-generated images have a 'plastic shininess' to the skin?

    -Some AI-generated images might have a 'plastic shininess' due to the default settings or lack of additional enhancements from an 'Aurora model'. Adjusting settings or using specific enhancements can help achieve a more natural look.

  • What is the significance of the 'Comfy UI' workflows mentioned in the script?

    -The 'Comfy UI' workflows are complex configurations that allow for more fine-tuned control over AI image generation. They can be used to achieve highly specific results but may be difficult for most users to navigate.

  • How does the script describe the process of creating a realistic AI-generated video?

    -The script describes a process that involves generating an image with Flux and an 'Aurora model' for realism, then using Runway to animate the image into a video. Adjustments to settings like the 'guidance scale' can help refine the realism of the final video.

  • What is the potential issue with AI-generated videos that the script suggests?

    -The script suggests that while AI-generated videos can appear ultra-realistic, they may require multiple attempts or 'rerolls' to achieve perfection, and some imperfections, like a floating microphone or unnaturally still objects, can be noticeable.

Outlines

00:00

🤖 Advancements in AI-Generated Image Realism

The script discusses the remarkable progress in AI-generated images, particularly highlighting the capabilities of Stable Diffusion 3 and the Flux model. It emphasizes the increasing difficulty in distinguishing AI images from real ones, especially when they lack professional composition. The speaker also mentions the use of AI to create videos, showcasing examples found on Reddit and the application of Lum's Dream Machine to transform images into realistic-looking videos. The discussion includes personal experiences with generating images using Flux through the Glyph app, noting the difference in quality compared to those shared online.

05:02

🔍 Enhancing AI Image Realism with Aurora

This paragraph delves into the use of Aurora, a low-rank adapter that functions as a filter or plugin to enhance AI-generated images. It explains how Aurora can be used to train models on specific concepts, styles, or characters, thereby improving image quality, style specificity, or character consistency without extensive computational power or retraining. The script contrasts the speaker's direct use of Flux in Glyph without Aurora against the enhanced results achieved by others using Aurora in combination with Flux, suggesting a method to achieve more realistic outcomes.

10:04

🎨 Creating Realistic AI Videos with Runway and Lum's Dream Machine

The final paragraph focuses on the process of creating realistic AI videos using the generated images. It describes the use of Runway ML to animate images with Gen 3, detailing the steps and challenges encountered, such as the floating microphone incident. The speaker also compares the results with those from Lum's Dream Machine, finding Runway to produce better outcomes. The script concludes with the suggestion that many ultra-realistic AI videos circulating may be cherry-picked from multiple attempts and encourages further exploration of tools like Comfy UI and file.aai for fine-tuning AI-generated content.

Mindmap

Keywords

💡AI generated images

AI generated images refer to visuals created by artificial intelligence algorithms, specifically in this context, through a process known as 'stable diffusion 3'. These images are designed to mimic real-life photographs, and the video discusses the impressive advancements in their realism. The script mentions how these images are so well-crafted that they can easily blend in with genuine photos on social media platforms like Instagram, without the casual observer noticing they are AI-generated.

💡Flux

Flux is an AI model mentioned in the video that is capable of creating highly realistic images. It is highlighted as a significant development in the field of AI image generation, with the script emphasizing how Flux has been instrumental in pushing the boundaries of what is possible with AI in terms of realism and quality of the generated images.

💡Stable Diffusion 3

Stable Diffusion 3 is an AI model discussed in the script, known for generating images that are so realistic they can be mistaken for photographs. The video script uses it as a benchmark to compare the capabilities of Flux, indicating that while Stable Diffusion 3 is already impressive, Flux takes the realism of AI images to another level.

💡Realism

Realism, in the context of the video, pertains to the lifelike quality of AI-generated images. The script discusses the improvement in realism over time, with AI images becoming increasingly difficult to distinguish from actual photographs. Realism is a key theme in the video, as it is the measure by which the progress of AI image generation technology is evaluated.

💡Aurora (Aur)

Aurora, or Aur, is described in the script as a 'low-rank adapter' that functions as a filter or plugin to enhance the performance of the base AI model, Flux. It is used to fine-tune the images, focusing on specific concepts, styles, or characters to improve the quality, style, or consistency of the generated images. The script provides examples of how Aur can be used to add a layer of realism to the skin, hair, and wrinkles in AI images.

💡Glyph

Glyph is mentioned as a workflow builder that allows the user to utilize the pro version of Flux for free. The script describes the user's experience with Glyph, noting that while it generates high-quality images, it lacks the option to integrate additional tools like Aurora, which could further enhance the realism of the images.

💡Comfy UI

Comfy UI is referred to as a complex and advanced tool for creating AI workflows, which can be quite intricate and challenging to understand, even for experienced users. The script suggests that Comfy UI could be used to integrate Aurora with Flux for more customized and realistic AI image generation.

💡F.a (Faux.ai)

F.a, or Faux.ai, is introduced in the script as a cloud-based service for running AI models. It is highlighted as a platform where users can access and utilize models like Flux and Aurora to generate images. The script explains that using F.a to integrate Aurora with Flux can produce more realistic images than using Glyph alone.

💡Inference

Inference, in the context of AI, refers to the process of using a trained model to make predictions or generate outputs based on new input data. The script mentions that running inference on F.a costs a small amount, but it also provides credits for new users to experiment with the platform.

💡Runway ML

Runway ML is a platform mentioned in the script for animating AI-generated images. The user attempts to animate an image generated with Flux and Aurora using Runway ML's Gen 3 Alpha, aiming to create realistic videos of AI-generated humans speaking.

💡Lum's Dream Machine

Lum's Dream Machine is another tool considered in the script for animating AI images into videos. The script compares the results from Lum's Dream Machine with those from Runway ML, noting that the latter provided better quality in animating the AI-generated images.

Highlights

AI-generated images have become incredibly realistic, often indistinguishable from real photos.

Images showcased are from Stable Diffusion 3, setting a new standard for AI image generation.

Flux, an AI tool, is praised for creating ultra-realistic images that mimic snapshots.

Flux images sometimes lack perfect composition, adding to their authenticity.

The video demonstrates how AI images can be animated, creating lifelike videos.

Flux's realism is attributed to not having a 'professional photographer' look.

Proportions can become distorted in AI images when more body parts are included.

Aurora, a low-rank adapter, acts as a fine-tuning filter to enhance image quality.

Aurora models are small and can be easily integrated to improve AI model performance.

Examples of Aurora's use include style and character specialization, and quality improvements.

The speaker struggled to achieve the same level of realism in their own Flux-generated images.

Flux, without additional filters like Aurora, may result in images with a plastic-like appearance.

Comfy UI offers complex workflows for fine-tuning AI images but can be overwhelming.

F.aai is a cloud-based service for running AI models, offering the Flux Realism model.

Using Flux Realism on F.aai requires payment, but initial credit is provided for experimentation.

Adjusting the guidance scale in Flux can significantly affect the realism of the generated images.

Runway ML's Gen 3 Alpha can animate AI images, although results may vary.

Lum's Dream Machine is another tool for animating AI images, with varying success.

The video concludes that while AI-generated images and videos are impressive, some may be cherry-picked for best results.

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