【速報】無料・最強画像生成AI「Stable Diffusion3.0」を徹底レビューしていきます！DALL-E3・Midjourney V6越えは確定！？

mikimiki web スクール

1 Mar 202420:13

Summary

TLDRThe transcript discusses a new AI image generation model called Stable Diffusion 3. It compares qualities like image realism, text generation, and spatial recognition against Midjourney and Dall-E models. The goal is examining if Stable Diffusion 3 represents the next evolution in AI image generation.

Takeaways

🌐 MikMik introduces their course on using image generation AIs, particularly focused on beginners who want to learn from scratch.
🤖 Highlights the release of a new course on ChatGPT and the third iteration of DALL-E, offering advanced insights into these technologies.
🎨 Discusses the capabilities of M Journey and DALL-E 3, emphasizing their ease of use in generating high-quality images without the need for a complex setup.
🆕 Introduces Stable Diffusion 3, a significant upgrade with improved image quality, text generation capabilities, and increased accessibility for users with lower-spec PCs or mobile devices.
🔍 Compares Stable Diffusion 3 with M Journey and DALL-E 3, noting Stable Diffusion 3's enhanced ability to generate text within images and its multimodal input capabilities.
👩‍🏫 Offers detailed demonstrations of Stable Diffusion 3's features, showcasing its ability to create complex images and understand intricate prompts.
🔥 Highlights the significant advancements in text generation within images, a notable improvement in AI image generation technology.
💻 Mentions the accessibility of these technologies, with a focus on the open-source and free-to-use nature of Stable Diffusion 3.
📈 Observes the overall improvement in image generation quality across all platforms, indicating a rapid advancement in the field.
📚 Encourages viewers to subscribe to the MikMik Web School channel for more tutorials and to join their LINE community for exclusive content and study sessions.

Q & A

What are the main improvements in Stable Diffusion 3 over previous versions?
-The main improvements are better image quality, improved text and spelling capabilities so it can generate text more accurately, and an architecture overhaul to a completely new model using a novel Diffusion Transformer.
How does Stable Diffusion 3 compare to Midjourney and DALL-E 3 for realism?
-For realism, Midjourney images tend to look more realistic. Stable Diffusion 3 can also generate realistic looking images but may not be on the same level as Midjourney based on the examples.
What makes the text generation capabilities of Stable Diffusion 3 special?
-Stable Diffusion 3 can generate two different pieces of text in one image, like having one text on a computer screen and another handwritten on the wall. This is very difficult for other systems like DALL-E and Midjourney.
How has text generation in image AI improved over the past year?
-One year ago text generation in image AI was very poor, with meaningless characters being generated. But now the quality has improved significantly across services like Stable Diffusion, Midjourney, and DALL-E where text can be generated quite accurately.
What are the 3 main evaluation criteria discussed for the AI services?
-The 3 main criteria evaluated are: 1) Image realism 2) Accuracy of text generation 3) Ability to recognize spatial relationships and positions of objects in the image.
For spatial relationship recognition, which service performed the best?
-Stable Diffusion 3 was by far the best at recognizing spatial relationships and correctly positioning objects, like being able to place a triangle behind a cube and then also position a dog to the right and cat to the left.
How can I start using Stable Diffusion 3?
-Stable Diffusion 3 is not publicly available yet. You need to sign up on the waitlist on the official website to receive updates for when it becomes accessible.
What hardware is required to run Stable Diffusion 3?
-With 8 billion parameters across models of varying sizes, Stable Diffusion 3 is designed to be flexible across devices. Low parameter models can run on mobile phones and tablets while high parameter models can leverage GPUs and high spec PCs.
What data types can Stable Diffusion 3 leverage as input?
-As a multi-modal model, Stable Diffusion 3 can process images, text, audio, and video as inputs to generate images.
How might Stable Diffusion 3 evolve in the future?
-Given the rapid pace of progress so far, Stable Diffusion 3 will likely continue advancing quickly in terms of image quality, text accuracy, and spatial relationship recognition. More capabilities will emerge as it is developed further.

Outlines

00:00

🚀 Introduction to MikMik's Web School and Image Generation AI

MikMik introduces their web school, offering courses on how to use M-Journey from scratch for those interested in learning about image generation AI, including a course on ChatGPT. They highlight the release of their second course and mention the availability of a ChatGPT third course. MikMik encourages viewers to register on LINE for exclusive access to useful GPT prompts and premium content, along with invitation-only study sessions. The main theme of the video is a comprehensive review of the latest image generation AI technologies: M-Journey V6, DALL-E 3, and the newly introduced Stable Diffusion 3. MikMik emphasizes the closed nature of M-Journey and DALL-E 3, which are typically paid services, versus the open and free nature of Stable Diffusion 3, despite its higher barrier to entry due to the need for setup. The new version of Stable Diffusion is praised for its improved quality and ease of use without cost.

05:01

🔍 Comparative Analysis of M-Journey, DALL-E 3, and Stable Diffusion 3

This section delves into a comparison between M-Journey V6, DALL-E 3, and Stable Diffusion 3, focusing on their capabilities in generating images from prompts. MikMik discusses the challenges and limitations of each technology, with specific examples of prompts and the generated outcomes. They point out the significant improvement in text generation within images by Stable Diffusion 3, setting it apart from its predecessors. However, access to Stable Diffusion 3 is limited to users on a waiting list, suggesting viewers sign up to get early access. MikMik shares examples of images generated by the AI technologies, highlighting their strengths and weaknesses in producing detailed and realistic images, especially in terms of text generation and the rendering of complex scenes.

10:03

🎨 Advanced Features and Real-World Application Scenarios

MikMik explores the advanced features of Stable Diffusion 3, emphasizing its superior text generation capabilities and the ability to generate images from complex prompts involving multiple elements. They showcase examples that demonstrate the AI's understanding of prompts related to text, spatial recognition, and the creation of images with intricate details. Comparisons with M-Journey and DALL-E 3 illustrate how Stable Diffusion 3 excels in generating high-quality, realistic images that accurately follow the given prompts. MikMik's analysis covers various scenarios, including the generation of images with specific text elements, the representation of objects with accurate colors and positions, and the AI's capability to understand and recreate complex spatial arrangements.

15:03

🏆 Final Thoughts and Recommendations

In the concluding section, MikMik reflects on the performance and capabilities of M-Journey, DALL-E 3, and Stable Diffusion 3. They express admiration for the advancements in image generation AI, particularly praising Stable Diffusion 3 for its ability to produce images of high quality and realism. MikMik notes the AI's proficiency in text generation, spatial recognition, and adherence to complex prompts, marking a significant evolution within a year. The summary underscores the potential of these technologies to cater to various user needs, from creating realistic images to executing detailed prompts. MikMik promises future content on utilizing Stable Diffusion 3, encouraging viewers to subscribe for updates and offering exclusive content to LINE members.

Mindmap

Keywords

💡画像生成AI

This refers to AI systems that can generate images based on text prompts. The video discusses and compares several image generation AI services.

💡ステーブルディフュージョン3

Stable Diffusion 3 is one of the image generation AI services featured in the video. It is an open source system known for high quality image generation.

💡文字生成

This means text or character generation within images. The video examines the accuracy of text generation across the different AI services.

Highlights

Stable Diffusion 3 has significantly improved image quality and text generation capabilities

The number of parameters in Stable Diffusion 3 has increased to 8 billion, allowing it to meet various user needs

Stable Diffusion 3 uses a completely new AI model architecture, not just an enhanced version

Stable Diffusion 3 can generate images from video or audio inputs due to its multimodal capabilities

Stable Diffusion 3 has vastly improved text generation quality compared to Midjourney and Dall-E

Stable Diffusion 3 can generate two different pieces of text in one image, a new capability

Stable Diffusion 3 rendered text effects like embroidery and graffiti more accurately than Midjourney and Dall-E

Stable Diffusion 3 recognized sequence and numbers in text prompts remarkably well

Stable Diffusion 3 generated images with higher realism than Midjourney and Dall-E in some cases

Stable Diffusion 3 created images reflecting spatial relationships and positioning extremely well

The image generation quality and capabilities of Stable Diffusion 3 are very impressive

Stable Diffusion 3's text generation accuracy across prompts was superior

Stable Diffusion 3 recognized and rendered spatial relationships in images remarkably effectively

The image generation quality and capabilities will likely continue improving rapidly

Stable Diffusion 3 enables image creation previously not possible, very exciting for the future