Imagen 3 is very nice I think

Victor Dantas
7 Oct 202407:28

TLDRImagen 3, Google DeepMind's latest image generation model, excels in detail and photorealism, particularly with hands. It outperforms other models in benchmarks and is accessible via Google Gemini and Image Effects, though availability varies by country. The model also handles text within images well and is integrated into Google's Vertex AI for cloud customers, featuring a digital watermark for responsible AI use.

Takeaways

  • 😀 Imagen 3 is Google DeepMind's latest image generation model, offering high detail and photorealism, especially with hands.
  • 🔍 It improves upon version two and is capable of generating 1K resolution images that can be upsampled up to 8X.
  • 🏆 Technical reports show Imagen 3 outperforms other models like Mid Journey 6, Dolly 3, and Stable Diffusion 3 in overall preference on Imagen Bench.
  • 🎨 Imagen 3 leads in all categories including complexity, composition, action, color, etc., and is slightly behind Mid Journey V6 in visual appeal.
  • 🤖 It is the top-performing model in visual Q&A among the analyzed models.
  • 🌐 Access to Imagen 3 may vary by country and is gradually being released in additional languages and regions.
  • 📱 Users in certain EU countries can access Imagen 3 via Google Gemini, and using a VPN to a US server might also provide access.
  • 🖼️ Image Effects is another way to try Imagen 3, offering suggestions and random prompt examples for image generation.
  • 🖌️ In Image Effects, users can edit generated images by selecting areas and describing changes, effectively creating new prompts.
  • 📜 Imagen 3 handles text within images well, as demonstrated by prompts involving a Japanese Samurai and a homeless alien with signs.
  • 🤲 It also excels in generating images with hands involved, producing realistic and detailed hand images.
  • 💻 Google Cloud customers can experiment with Imagen 3 through Vertex AI, where they can select the model, aspect ratio, and control image generation with prompts.

Q & A

  • What is Imagine 3 and what does it improve upon from its predecessor?

    -Imagine 3 is Google DeepMind's newest image generation model that improves upon version two with a very high level of detail and photorealism, especially when hands are involved, which has been a challenge for such models.

  • What type of model is Imagine 3 and what resolution can it generate?

    -Imagine 3 is a latent diffusion model capable of generating images of 1K resolution, which can be upsampled up to 8X.

  • How does Imagine 3 perform in comparison to other models in terms of overall preference?

    -Imagine 3 is the most preferred model among M Journey 6, Dolly 3, and Stable Diffusion 3 according to evaluation results on I bench.

  • In what areas does Imagine 3 excel compared to other models?

    -Imagine 3 leads in all categories including complexity, composition, action, color, etc., and is only slightly behind Mid Journey V6 in terms of visual appeal.

  • How can one try Imagine 3 if it's not available in their country?

    -One can try Imagine 3 through Google Gemini or Image Effects, but availability may vary by country. Using a VPN to connect to a server where it is available is another option.

  • What is the purpose of the seed button in Imagine 3?

    -The seed button in Imagine 3 allows users to set a specific seed so that the same prompts will generate the same images every time.

  • How does Imagine 3 handle the challenge of generating text within images?

    -Imagine 3 performs well in generating text within images, as demonstrated by prompts involving a Japanese Samurai with a sign and a homeless alien holding a sign.

  • What is the issue with hands in image generation models and how does Imagine 3 address it?

    -Hands have been a challenge for image generation models, but Imagine 3 addresses this with realistic and detailed hand images, as shown in a prompt for a hand drawing with a pencil.

  • How can Imagine 3 be accessed if you are a Google Cloud customer?

    -Google Cloud customers can access Imagine 3 through Vertex AI, where they can select the model and aspect ratio, and generate images in the vision tab.

  • What is the digital watermark feature in Imagine 3 and how does it work?

    -The digital watermark feature in Imagine 3 is powered by DeepMind's synth ID technology, which embeds a watermark imperceptible to humans without affecting the quality of the generated content, working for images, audio, text, and video.

  • How can one experiment with Imagine 3 if they are not creative with prompts?

    -For those who are not creative with prompts, Image Effects provides nice suggestions and random prompt examples to play with, allowing users to experiment with Imagine 3 and see results right away.

Outlines

00:00

🖼️ Introducing Imagine 3: Google DeepMind's Advanced Image Generation Model

Imagine 3 is Google DeepMind's latest image generation model, which significantly improves upon version two by producing highly detailed and photorealistic images, even when hands are involved—a challenge for such models. It is a latent diffusion model capable of generating 1K resolution images that can be upsampled up to 8X. According to the technical report, Imagine 3 outperforms other models like M Journey 6, Dolly 3, and StaBu Diffusion 3 in overall preference on I-bench and other benchmarks such as DrawBench and All 3 Eval in terms of prompt image alignment. It also leads in visual appeal, slightly behind Mid Journey V6, and is the best-performing model in visual Q&A among the analyzed models. Imagine 3 excels in all categories, including complexity, composition, action, and color. Users can try Imagine 3 through Google Gemini, but availability may vary by country. Google is gradually releasing image generation in additional languages and countries, and there is no comprehensive list of available countries, so users must try to access it. The script also mentions using a VPN to access Gemini and Image Effects, which provides suggestions and random prompt examples to help users generate images. Image Effects also allows users to edit generated images by adding descriptions to specific areas of the image. The script concludes with examples of how Imagine 3 handles prompts involving text and hands, showcasing its ability to generate high-fidelity text within images and realistic hand depictions.

05:02

🎨 Exploring Imagine 3 Through Vertex AI and Creative Applications

For Google Cloud customers, Imagine 3 can be accessed through Vertex AI, where users can select the model and aspect ratio in the Vision tab of Vertex AI Studio. Users can generate up to four images with a negative prompt to exclude certain elements, providing more control over image generation. The console displays generated images with a digital watermark powered by DeepMind's synthID technology, which is imperceptible to humans and does not affect the quality of the content, working for images, audio, text, and video. This feature is a responsible AI practice. For API interaction, there is a collab notebook with code samples for generating multiple images with different aspect ratios and a series of sample prompts for various image types. The video ends with a creative segment where the creator uses music effects to compile images into a fun clip, accompanied by music and applause, showcasing the creative potential of Imagine 3 in a light-hearted manner.

Mindmap

Keywords

💡Imagen 3

Imagen 3 is Google DeepMind's newest image generation model, which signifies a significant advancement in the field of AI-generated imagery. It improves upon its predecessor, Imagen 2, by producing images with higher levels of detail and photorealism, particularly when depicting hands, which has historically been challenging for such models. The video discusses Imagen 3's capabilities and compares it favorably to other models in terms of image quality and realism.

💡Latent Diffusion Model

A latent diffusion model is a type of generative model used in deep learning for generating high-quality images. In the context of the video, Imagen 3 is described as a latent diffusion model capable of generating images of 1K resolution, which can be upsampled up to 8 times their original size. This technology allows for the creation of detailed and realistic images, showcasing the model's advanced capabilities.

💡Photorealism

Photorealism refers to the quality of an image or artwork that resembles a photograph. In the video, Imagen 3 is praised for its ability to generate images with a very high level of photorealism, meaning the images it produces look incredibly close to real-life photographs, especially when it comes to the depiction of hands, which has been a challenge for previous models.

💡I bench

I bench is mentioned in the video as one of the evaluation benchmarks used to test the preference for image generation models. Imagen 3 outperformed other models like Mid Journey 6, Dolly 3, and Stable Diffusion 3 in terms of overall preference, indicating its superior performance in generating images that are preferred by users.

💡Prompt Image Alignment

Prompt image alignment refers to how well an AI-generated image matches the description or 'prompt' given by the user. The video highlights that Imagen 3 excels in this area, beating the competition in terms of how closely the generated images align with the prompts provided, which is crucial for the effectiveness of image generation models.

💡Visual Appeal

Visual appeal pertains to the attractiveness or pleasing nature of a visual image. According to the video, Imagen 3 scores highly in terms of visual appeal, only slightly behind Mid Journey V6, which underscores the model's ability to produce images that are not only realistic but also aesthetically pleasing.

💡Visual Q&A

Visual Q&A refers to the ability of an AI model to understand and respond to questions about visual content. The video states that Imagen 3 is the best-performing model among those analyzed in this category, indicating its advanced capabilities in comprehending and generating content based on visual queries.

💡Google Gemini

Google Gemini is mentioned as one of the easiest ways to try Imagen 3 for image generation. However, the video notes that access to this feature may be limited by country, and it may not be available everywhere. Gemini demonstrates the practical application of Imagen 3 within Google's ecosystem, allowing users to generate images based on textual prompts.

💡Image Effects

Image Effects is another platform mentioned in the video where Imagen 3 can be accessed, though it is also not available in all countries. It provides users with suggestions and random prompt examples to generate images, which can be particularly helpful for those who are new to creating prompts or want to quickly see results.

💡Digital Watermark

A digital watermark is a form of steganography that embeds a unique identifier into digital content, such as images, audio, text, or video. In the video, it is mentioned that Imagen 3's generated images include a digital watermark powered by DeepMind's synth ID technology, which is a responsible AI feature ensuring the content's origin can be traced without affecting its quality or perceptibility.

💡Vertex AI

Vertex AI is Google Cloud's platform for AI and machine learning. The video explains that Google Cloud customers can use Vertex AI to access Imagen 3 and generate images, offering them control over the model, aspect ratio, number of results, and negative prompts to refine the image generation process. This demonstrates the integration of Imagen 3 into Google's cloud services for professional use.

Highlights

Imagen 3 is Google DeepMind's newest image generation model.

Imagen 3 improves on version two with a high level of detail and photorealism.

Imagen 3 excels in generating images with hands involved, which has been a challenge for similar models.

It is a latent diffusion model capable of generating 1K resolution images that can be upsampled up to 8X.

Evaluation results show Imagen 3 is the most preferred model among competitors on Ibench.

Imagen 3 also shows similar results for other benchmarks like DrawBench and AllThe3Eval.

Imagen 3 beats competition on visual appeal and is slightly behind Mid Journey V6.

In terms of visual Q&A, Imagen 3 is the best-performing model among those analyzed.

Imagen 3 leads in all categories including complexity, composition, action, color, etc.

The easiest way to try Imagen 3 is with Google Gemini, but availability varies by country.

Google is gradually releasing image generation in additional languages and countries.

Access to Imagen 3 may require using a VPN to connect to a server where it is available.

Another way to try Imagen 3 is through Image Effects, which also has geographical restrictions.

Image Effects provides suggestions and random prompt examples to help users generate images.

Imagen 3 can generate images with text involved, a challenge for many models.

Results show Imagen 3 can generate text accurately within images.

Imagen 3 handles images involving hands very well, with realistic and detailed results.

Google Cloud customers can try Imagen 3 through Vertex AI in the Vision tab.

Vertex AI allows model selection, aspect ratio changes, and negative prompts for image generation.

Digital Watermark, powered by DeepMind synth ID, is a feature for responsible AI use.

There is a collab notebook with code samples for working with Imagen and utility functions.

The video ends with a fun music clip featuring images generated by Imagen 3.

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