【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！？

Summary

The 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.