Google Imagen 3 is Part of Gemini!!!

1littlecoder
28 Aug 202412:43

TLDRGoogle has launched Imagen 3, its latest image generation algorithm, on Google Gemini. The video compares prompts from Gemini and Flux, exploring which model is superior. It highlights Imagen 3's text rendering capabilities and its integration with Gemini's multimodal system, allowing for the generation of images alongside text. The video tests various prompts, including animated images and realistic scenes, comparing the output quality and instruction-following accuracy of both platforms. It also touches on the limitations of generating human images with the free version of Google Gemini, which requires a subscription to Gemini Advanced. The summary invites viewers to test Imagen 3 on gem.goole.com before it might be taken down.

Takeaways

  • 🚀 Google Imagen 3 is now live on Google Gemini, following the trend of integrating advanced image generation models on the platform.
  • 🔍 Users can access Google Imagen 3 by visiting gem.goole.com and using the commands 'create' or 'generate' along with their image prompts.
  • 🎨 Google Imagen 3 is noted for its text rendering capabilities, being one of the earliest models to excel in this area, and this feature is now available to all Gemini users.
  • 📋 The video compares Google Imagen 3 with Flux, another image generation model, to determine which performs better with various prompts.
  • 🖼️ The comparison includes prompts for static images, animated images, and text alongside images, showcasing the multimodal capabilities of Google Imagen 3.
  • 📸 In the tests, Google Imagen 3 and Flux show varying levels of instruction following and image quality, with some images favoring one model over the other.
  • 💬 Google has promised that users can generate text along with images, a feature that was highlighted during the introduction of Gemini as part of its multimodal system.
  • 🚫 Google Gemini's free version does not allow the generation of human images; users must subscribe to Gemini Advanced for this feature.
  • 📈 There is a noticeable improvement between Google Imagen 2 and Imagen 3, which the video aims to test against Flux to see if the latter can match the advancements.
  • 🤖 The video concludes by asking viewers to share their preferences between Google Imagen 3 and Flux, based on the comparison of generated images and text.
  • 🌌 The video ends with a humorous note, suggesting that users try out Google Imagen 3 before it might be taken down, referencing Elon Musk's influence on social media.

Q & A

  • What is Google Imagen 3 and how is it related to Google Gemini?

    -Google Imagen 3 is the latest image generation algorithm that has been integrated into Google Gemini. It is a text-to-image model that was one of the earliest to offer text rendering capabilities and is now accessible to all users who can access Gemini.

  • How can users access Google Imagen 3 on Google Gemini?

    -Users can access Google Imagen 3 by going to gem.goole.com and using the prompt with the trigger words 'create' or 'generate' to request an image based on their description.

  • What is the significance of Google launching Imagen 3 on Gemini?

    -The significance lies in the fact that Google Imagen 3's advanced image generation capabilities are now available to a broader audience through Gemini, showcasing Google's commitment to making cutting-edge AI technology accessible.

  • How does Google Imagen 3 compare to Flux in terms of image generation?

    -The video script suggests a comparison between Google Imagen 3 and Flux, indicating that while both are capable of generating images from text prompts, there are differences in how closely they follow instructions and the quality of the images produced.

  • What are the capabilities of Google Imagen 3 that were highlighted in the video?

    -The video highlighted Google Imagen 3's ability to generate images from text prompts, its instruction-following capabilities, and its potential to generate text along with images, showcasing its multimodal capabilities.

  • What is the difference between the free version of Google Gemini and Gemini Advanced?

    -The free version of Google Gemini does not allow the generation of human images, while Gemini Advanced, which requires a subscription, does. This is part of Google's monetization strategy for advanced features.

  • Why is there a comparison between Google Imagen 3 and Flux in the video?

    -The comparison is to determine which model is better at generating images from text prompts. The video creator found it challenging to decide between the two and sought viewer input to help make a decision.

  • What is the process for generating an image using Google Imagen 3 on Gemini?

    -To generate an image, a user must enter a prompt on gem.goole.com, prefixing it with 'generate' or 'create', and include a visual description and the desired image style.

  • How does the video script describe the image generation process for Flux?

    -The video script describes the image generation process for Flux as being similar to Google Imagen 3, where users input text prompts to generate images, but with the added benefit of being able to train Lura on Flux.

  • What is the video creator's opinion on the image quality generated by Google Imagen 3 and Flux?

    -The video creator is impressed with the image quality of both Google Imagen 3 and Flux, but finds it difficult to definitively say which one is better, as it depends on the specific prompt and the desired outcome.

  • What is the video creator's final recommendation for users interested in image generation?

    -The video creator recommends that users visit gem.goole.com to try out Google Imagen 3 before it might be taken down, suggesting a sense of urgency due to potential controversies or high demand.

Outlines

00:00

🚀 Google IM Gen 3 Launch and Comparison

The video script discusses the live launch of Google's IM Gen 3 image generation model on Google Gemini. The speaker expresses appreciation for Google's decision to implement the latest algorithm on their platform and invites viewers to test the video. The script outlines a plan to compare prompts between Gemini, Google IM Gen 3, and Flux to determine user preferences. The speaker highlights the significance of Google's IM Gen 3 as one of the earliest models capable of text rendering in image generation and questions whether it outperforms other models in the market. The process of accessing Google Gemini and generating images using specific prompts is explained, emphasizing the need for a visual description and image style. The script also mentions Google's promise of generating text along with images, a feature of the multimodal system. The speaker tests the default prompt of 'a tiny astronaut hatching from an egg on the moon' on both platforms, comparing the results and noting the differences in instruction following and image quality.

05:02

🎨 Image Quality Comparison and Limitations

In this paragraph, the script continues the comparison of image generation between Google Gemini and Flux, focusing on image quality. The speaker tests different prompts, including an animated image of a tiny dragon hatching from an egg surrounded by glowing butterflies and a ball gown made of paper napkins. The results are analyzed in terms of how closely they match the prompts, with Gemini appearing to be slightly more accurate in following the instructions. The speaker also attempts to generate a photorealistic image of a mountain landscape, noting the challenges in copying the prompt and the differences in shadow detail and landscape representation between the platforms. The script touches on the limitations of the free version of Google Gemini, which does not allow the generation of human images without subscribing to Gemini Advanced. The speaker also mentions the recent popularity of certain prompts from stable diffusion Reddit and plans to test one of them on Gemini to see if it can match Flux's performance.

10:04

📸 Testing Image Generation with Popular Prompts

The final paragraph of the script describes the speaker's attempt to use a trending prompt from stable diffusion Reddit with Google Gemini. The speaker notes the improvement in image quality between Google's Image 2 and Image 3 and wants to see if Flux can match this. The comparison is made using Flux's Dev model, which is the open weights model, and the speaker acknowledges that there might be a higher level of Flux model that could perform better. The speaker's intention is to compare the tradeoff between Google's Image Gen 3 and Flux Dev, considering customization and generation capabilities. The script ends with the speaker asking both platforms to generate a YouTube thumbnail featuring a coder named 'one little coder' making videos about Google's Image Gen 3 in a gloomy setting. The speaker expresses disappointment when neither platform generates the desired thumbnail with the specified text and concludes by encouraging viewers to try out Google's Image Gen 3 before it might be taken down, humorously referencing Elon Musk's potential influence on the platform's decisions.

Mindmap

Keywords

💡Google Imagen 3

Google Imagen 3 refers to the third generation of Google's image generation technology. It is a significant advancement in the field of AI and machine learning, allowing for the creation of images from textual descriptions. In the video, the speaker discusses the integration of Google Imagen 3 into Google Gemini, highlighting its capabilities and comparing it with other platforms like Flux.

💡Google Gemini

Google Gemini is mentioned as a platform that hosts Google's latest image generation algorithm, Google Imagen 3. It is a service that allows users to generate images based on textual prompts, showcasing Google's commitment to advancing AI technologies. The video compares the performance of Google Imagen 3 on Gemini with other platforms.

💡Text rendering

Text rendering in the context of the video refers to the ability of an image generation model to create images based on textual descriptions. Google Imagen 3 is noted for being one of the early models that excelled in this capability, which is now available to users through Google Gemini.

💡Flux

Flux is another image generation platform that the video compares with Google Imagen 3. It is used to test the capabilities of different image generation models, particularly in terms of instruction following and image quality. The speaker uses Flux to evaluate and compare the outputs of Google Imagen 3.

💡Multimodal system

A multimodal system is a type of AI system that can handle and generate multiple types of data, such as text, images, and possibly more. In the video, Google Gemini is described as a multimodal system that can interleave images with text, indicating its advanced capabilities in handling different data types.

💡Prompts

Prompts in the context of the video are the textual descriptions or instructions given to the image generation models to create specific images. The video discusses various prompts used to test the capabilities of Google Imagen 3 and Flux, and how well each platform follows these instructions.

💡Image style

Image style refers to the specific aesthetic or visual characteristics desired in the generated images. In the video, the speaker explains that users can specify both a visual description and the style of the image when using Google Gemini to generate images.

💡Generate/create

In the context of the video, 'generate' or 'create' are the actions that trigger the image generation process on Google Gemini. Users must prefix their prompts with either 'generate' or 'create' to instruct the system to produce an image based on the given description.

💡Animated image

An animated image, as discussed in the video, is a type of image that has movement or animation. The speaker tests the capabilities of Google Imagen 3 and Flux by requesting animated images, such as a tiny dragon hatching from an egg, to compare the platforms' ability to follow complex prompts.

💡Photo realism

Photo realism in the context of image generation refers to the ability of an AI model to create images that closely resemble real photographs. The video includes a test of Google Imagen 3 and Flux's capabilities to generate photorealistic images, such as a mountain vista with specific lighting and landscape details.

Highlights

Google Imagen 3 is now live on Google Gemini.

Google's latest algorithm is available for public testing on gem.goole.com.

The video compares Google Imagen 3 with Flux, inviting viewers to share their preferences.

Google Imagen 3 was one of the earliest models capable of text rendering in image generation.

Imagen 3's brilliance is now accessible to all users who can access Gemini.

The video tests various prompts on both Flux and Google Imagen 3 to evaluate their performance.

Google has promised the ability to generate text along with images in a multimodal system.

Accessing Google Imagen 3 is as simple as going to gem.goole.com and using 'create' or 'generate' as trigger words.

Users must provide a visual description and image style when generating images.

Google Imagen 3 follows instructions more closely compared to Flux.

The video tests an animated image prompt to compare the detail and instruction following of both models.

Flux Dev's image quality is good, but not as exact in instruction following as Google Imagen 3.

Google Imagen 3 is closer to the prompt's description in generating an image of a ball gown made of paper napkins.

The video discusses the difficulty in copying long prompts and the use of inspect tools.

Google Imagen 3 generates a photorealistic image of a mountain landscape with good detail and shadows.

Flux is known for its strength in text generation and is tested against Google Imagen 3 for a trending prompt.

Google plans to introduce image generation of people soon, but it will require a subscription to Gemini Advanced.

The video concludes with a comparison of Google Imagen 3 and Flux Dev, suggesting a choice between the two for different needs.

The video ends with an attempt to generate a YouTube thumbnail, highlighting the capabilities and limitations of both models.