We Can Finally Do Text In Our AI Images!
TLDRThe video discusses advancements in AI art, highlighting the transition from AI-generated images to text. It reviews the release of Stable Diffusion XL and its free usage, comparing its text generation capabilities with Mid-Journey. The video introduces Deep Floyd, a new diffusion model with improved photorealism and language understanding, demonstrating its effectiveness in generating text and images. Tips for using Deep Floyd to achieve better text generation are shared, emphasizing the potential for AI in creating thumbnails and featured images. The video concludes by suggesting future developments in AI art tools.
Takeaways
- 🌟 AI art has evolved to include text generation, moving beyond just images.
- 🎨 Stable Diffusion XL, released in April, is a model that now allows for text generation in AI art, and it's free to use.
- 💡 Users can access Stable Diffusion XL through Dream Studio and experiment with text prompts to generate images.
- 🔍 While Stable Diffusion XL shows improvement in text generation, it still lacks the detail and quality of mid-journey models.
- 📸 Another free platform, Clipdrop.co, also utilizes Stable Diffusion XL for text-based image generation.
- 🆕 Deep Floyd is a new diffusion model that claims to have a high degree of photorealism and language understanding.
- 🎩 Examples of Deep Floyd's capabilities include generating images with text, such as customized hats with specific phrases.
- 🔗 Deep Floyd can be accessed through Hugging Face and Google Colab for users to test its text and image generation features.
- 🖼️ When comparing Deep Floyd and mid-journey, the latter still holds an edge in terms of detail, style, and realism.
- 📈 Deep Floyd shows promise in text generation, especially with known words, and may require multiple attempts for optimal results.
- 🚀 The combination of high-quality image generation and coherent text production in AI models is on the horizon, promising significant advancements in the field.
Q & A
What is the main topic of the video transcript?
-The main topic of the video transcript is the evolution and current state of AI in generating text and images, specifically focusing on models like Stable Diffusion XL and Deep Floyd.
What is Stable Diffusion XL and how can it be accessed?
-Stable Diffusion XL is an AI model developed by Stable Diffusion that has improved capabilities in text generation. It can be accessed for free at Dream Studio and on the platform Clipdrop.co.
How does the video compare Stable Diffusion XL with Mid-Journey in terms of image quality?
-The video compares Stable Diffusion XL with Mid-Journey by suggesting that while Stable Diffusion XL is improving, Mid-Journey still provides better image quality, detail, and realism.
What is Deep Floyd and what makes it unique?
-Deep Floyd is a different AI diffusion model that claims to have a high degree of photorealism and language understanding. It uses what they call 'skated pixel diffusion modules' and can be used through a Hugging Face demo or a Google Colab.
How does the video demonstrate the capability of Deep Floyd in generating text?
-The video demonstrates Deep Floyd's capability in generating text by showing examples where it successfully generates images with the correct text, such as colorful balloons spelling out 'wolf' and a baseball cap with 'Future Tools' stitched on it.
What is the significance of repeating the text in the prompt when using Deep Floyd?
-Repeating the text in the prompt when using Deep Floyd provides additional context, which seems to help the AI focus on generating the desired text more accurately.
What are the future implications of AI models that can generate both high-quality images and text?
-The future implications include the potential for AI to create content like YouTube thumbnails and blog post featured images, essentially handling both text and image creation for various online platforms.
How does the video suggest improving results with Deep Floyd?
-The video suggests that it might take a few generations and adding the text multiple times in the prompt to get the desired results with Deep Floyd.
What is the status of Stable Diffusion XL and Deep Floyd in terms of availability and open sourcing?
-Stable Diffusion XL and Deep Floyd are both freely available at the time of the video, with plans for Deep Floyd to become open source in the future.
How can viewers stay updated on AI tools and news?
-Viewers can stay updated on AI tools and news by visiting futuretools.io, which curates cool AI tools and provides a weekly newsletter summarizing the top AI news and tools.
What is the overall impression of the current state of AI art generation?
-The overall impression is that AI art generation is rapidly improving, with models like Deep Floyd showing significant advancements in text generation within images. The future holds the potential for AI to seamlessly blend high-quality image generation with accurate text placement.
Outlines
🖼️ Advancements in AI Art and Text Generation
The paragraph discusses the recent developments in AI art, particularly the shift from generating images to producing text. It highlights the release of Stable Diffusion XL, a model that has been made freely available for public use. The speaker explores the platform's capabilities by entering various prompts, such as 'colorful balloons that spell out the word wolf', and compares the results with another AI model, Mid-Journey. The summary points out that while Stable Diffusion XL shows progress, it still falls short in quality compared to Mid-Journey. The paragraph also introduces Deep Floyd, a new diffusion model claiming higher photorealism and language understanding, and demonstrates its improved text generation capabilities.
🎩 Experimenting with Deep Floyd and Text in AI Images
This paragraph delves into the specifics of using Deep Floyd for text generation within AI images. The speaker experiments with various prompts, such as creating images of a blue baseball cap with the text 'Future tools', and observes how repeating the text within the prompt helps to refine the output. The paragraph also compares the photorealistic capabilities of Deep Floyd with those of Mid-Journey, noting that while Deep Floyd shows promise, Mid-Journey still delivers more detailed and clearer images. The speaker shares tips for achieving better results with Deep Floyd, such as adding multiple instances of the desired text and performing several generations to refine the output.
🚀 Future Prospects of AI Art and Text Generation
The final paragraph discusses the future potential of AI art and text generation tools. The speaker expresses excitement over the rapid advancements in the field and anticipates a time when AI will be able to generate both high-quality images and coherent text seamlessly. Mentioning upcoming versions of Mid-Journey and other AI tools like Leonardo, the speaker suggests that integrated text generation will soon be a standard feature. The paragraph concludes with the speaker sharing resources for staying updated with AI news and tools, and encourages viewers to explore AI art and related technologies further.
Mindmap
Keywords
💡AI art
💡Stable Diffusion
💡Deep Floyd
💡Text generation
💡Photorealism
💡Mid-Journey
💡Hugging Face
💡Upscaling
💡YouTube thumbnail
💡FutureTools
💡AI advancements
Highlights
AI art has evolved to now include text generation in addition to images, marking a significant advancement in the field.
Stable Diffusion XL, a free model released in early April, allows users to generate text within AI images, though the results are not yet perfect.
Dream Studio is a platform where users can utilize Stable Diffusion XL with a certain amount of credits, and access the model through the advanced settings.
CLIPdrop.co is another free resource that uses Stable Diffusion XL, where users can input prompts to generate AI art, such as the humorous example of Paris Hilton and Albert Einstein wedding pictures.
Deep Floyd is a new diffusion model introduced in late April, claiming to have a high degree of photorealism and language understanding, using skated pixel diffusion modules.
The ability to generate text within images is improving, with Deep Floyd showing better results in terms of readability and context compared to previous models.
Hugging face offers a demo for Deep Floyd, where users can input prompts and generate images with improved text generation capabilities.
Deep Floyd's photorealism is demonstrated through detailed examples like a Nordic Mountain landscape created with paper quilling and a face made entirely of foliage.
While Deep Floyd's text generation is impressive, it still has room for improvement when compared to the image quality of models like Mid-Journey.
The process of generating AI art with text involves trial and error, with multiple generations often required to achieve the desired output.
The future of AI art generation is promising, with upcoming models like Mid-Journey V6 or V7 expected to incorporate text generation capabilities.
Deep Floyd represents a significant step forward in AI art, being the current best option for text generation within images.
The AI community is excited about the rapid advancements in AI art and text generation, and the potential for fully integrated AI tools that can produce both images and text for various media applications.
The video provides a comprehensive overview of the current state of AI art generation and text incorporation, offering insights into the latest models and their practical applications.
The presenter shares tips for using Deep Floyd effectively, such as repeating the text in the prompt multiple times for better context and results.
The video concludes with the presenter's enthusiasm for the future of AI art and the potential for seamless integration of text and high-quality images in AI-generated content.