NVIDIA’s Crazy New AI Paints With Images!
TLDRNVIDIA introduces an innovative AI technique that revolutionizes painting by using images instead of traditional brushes. This diffusion-based AI reorganizes noise into images, enabling creative and non-repetitive art. The technique outperforms previous methods in tiling, consistency, and versatility. It allows users to create art with any image, even without expertise, and suggests a future where AI can enhance and refine user-created art, making it accessible and fun for everyone.
Takeaways
- 🤖 AI can now 'paint' with images rather than traditional brushes, offering a new creative tool.
- 🖌️ The technique uses a diffusion-based AI to generate images from text, starting from noise and reorganizing it into an image.
- 🔄 The idea is to replace the brush with an image, which can be used to paint creatively without repetition.
- 🏠 The AI can handle complex tasks like painting a rocky road or moss on an object without tiling or repetition.
- 💡 Consistency is improved with this new technique, allowing for more believable and continuous lines in the artwork.
- 🆚 Compared to Photoshop's technique, the AI performs better, especially with images it hasn't seen before.
- 🌟 The system allows for drawing with almost any image, expanding the range of creative possibilities.
- 🎨 The potential for future development is huge, with the idea of using the entire image as a guideline for AI to generate new ones.
- 👩🎨 The results may not match a human artist's skill, but the creative potential opens up opportunities for non-experts.
- 🛠️ Tools like Stable Diffusion offer the possibility to implement this technique now with free and open resources.
- 🔍 The paper includes detailed comparisons with previous techniques, indicating significant advancements in this area.
- 📝 The code for this technique is expected to be available, which will further democratize the use of AI in art.
Q & A
What is the main concept of using AI to paint as described in the video?
-The main concept is to use AI to paint with images instead of traditional brushes, leveraging a diffusion-based AI technique to generate images from text and reorganize noise into an image.
What is the problem with simply tiling an image to paint with it?
-Tiling an image can result in a boring and repetitive pattern, which is not visually appealing or the intended effect when using images to paint.
How does the new AI painting technique differ from previous methods?
-The new technique is better in three ways: it tiles images more effectively, especially on new, unseen objects; it maintains better consistency in lines; and it allows for drawing with almost any image.
What is the potential future application of this AI painting technique mentioned in the video?
-A potential future application is using the entire image created by the AI as a guideline for a powerful text-to-image AI to generate a new image, improving upon the initial creation.
How does the AI handle the challenge of consistency when drawing lines?
-The AI is designed to be mindful of line consistency, ensuring that lines with a bit of drift still look believable, which was a challenge for previous techniques.
What is the significance of the AI's ability to use almost any image for painting?
-This ability greatly expands the creative possibilities for users, allowing them to incorporate diverse and unique images into their artwork without needing specialized training.
How does the video suggest improving the artwork created with the AI?
-The video suggests using the artwork created by the AI as a base and then feeding it back into a text-to-image AI to generate a refined version of the artwork.
What does the video imply about the current capabilities of AI in comparison to human artists?
-While the AI's results are not as good as those of a human artist, especially an expert, the potential for improvement and creative use is significant.
How can viewers potentially try this AI painting technique themselves?
-Viewers can try this technique using free and open tools like Stable Diffusion, which may offer similar capabilities for AI-assisted painting.
What is the 'First Law of Papers' mentioned in the video?
-The 'First Law of Papers' is a playful reference to the idea that the potential applications and developments of AI in painting will continue to evolve and expand in future research.
Where can interested individuals find more detailed comparisons against previous techniques?
-More detailed comparisons against previous techniques can be found in the description of the video, as suggested by the speaker.
Outlines
🎨 AI-Assisted Painting with Images
The script introduces a novel approach to painting using AI technology. Instead of traditional brushes, the technique involves using images as 'brushes' to create art on a tablet. The process begins with a diffusion-based AI technique that generates images from text, starting from noise and reorganizing it into a coherent image over time. The script suggests a creative twist to painting by plugging in an image and using a pencil to apply it as if it were paint. This method avoids the repetitiveness of tiling images and allows for more organic and varied results, as demonstrated by painting a hut and a mossy object. The script also discusses the technique's advantages over previous methods, such as better tiling, improved consistency, and the ability to use almost any image for painting.
Mindmap
Keywords
💡AI
💡Diffusion-based AI technique
💡Pencil and tablet
💡Tiling
💡Moss
💡Consistency
💡Photoshop
💡Stable Diffusion
💡Text-to-image AI
💡Creative potential
💡First Law of Papers
Highlights
NVIDIA introduces an AI that can paint with images instead of traditional brushes.
The AI uses a diffusion-based technique to generate images from text.
The technique reorganizes noise into an image over time, avoiding repetitive patterns.
AI painting with images allows for more creative control over the final artwork.
The AI can paint moss on objects with the right amount and placement.
Compared to Photoshop, the AI's tiling technique is superior on unseen subjects.
The AI maintains consistency in artwork, overcoming issues faced by previous techniques.
The technique enables drawing with almost any image, expanding creative possibilities.
The AI can tile roofs or create trees with more control over each part's appearance.
Non-specialists can now create art with the help of this AI, democratizing the creative process.
Though not as good as a human artist, the AI's potential for improvement is significant.
Future developments may involve using the AI to generate new images based on existing ones.
The AI's workflow can be enhanced by combining it with powerful text-to-image AI.
Stable Diffusion and other free tools may already enable similar AI painting techniques.
The paper suggests that this technology can inspire more creativity in users.
The paper provides detailed comparisons with previous techniques and is available for review.
The AI's code is expected to be made available, allowing further exploration and application.
The video invites viewers to share their ideas on how they would use this AI painting technique.