SDXL Turbo AI: 100 Cats Per Second…For Free!
🆕 from Two Minute Papers! Discover Stable Diffusion XL Turbo, an AI technique that can generate high-quality images in real time at a rate of 100 cats per second. It outperforms previous models and has potential applications in training self-driving cars. #AI #ImageGeneration.
Key Takeaways at a Glance
00:00Stable Diffusion XL Turbo is a faster version of Stable Diffusion.01:00Stable Diffusion XL Turbo can create high-quality images in real time.03:18Stable Diffusion XL Turbo can perform image-to-image translation.04:31Adversarial Diffusion Distillation enables faster and cheaper models.05:36Stable Diffusion XL Turbo has potential applications in training self-driving cars.07:00The new text-to-image AI outperforms Stable Diffusion XL.
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1. Stable Diffusion XL Turbo is a faster version of Stable Diffusion.
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Stable Diffusion XL Turbo is an AI technique that can create high-quality images quickly, at a rate of 100 cats per second.
- The original version of Stable Diffusion takes 20 to 60 seconds to create an image.
- Stable Diffusion XL Turbo promises to create images in 1/4 of the sampling steps, resulting in real-time text-to-image generation.
2. Stable Diffusion XL Turbo can create high-quality images in real time.
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Stable Diffusion XL Turbo can generate images in 9-10 milliseconds, with a resolution of 512x512.
- The quality of the images is comparable to a slower version of Stable Diffusion.
- The technique allows for quick iteration and real-time text-to-image generation.
3. Stable Diffusion XL Turbo can perform image-to-image translation.
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In addition to text-to-image generation, Stable Diffusion XL Turbo can transform images.
- The technique allows for image-to-image translation, enabling creative possibilities.
- It can be used for landscape images and even Apple's memojis.
4. Adversarial Diffusion Distillation enables faster and cheaper models.
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The technique of Adversarial Diffusion Distillation allows for the creation of smaller, faster, and cheaper models.
- A complex diffusion model is trained as the teacher model.
- A smaller student model is then created to mimic the behavior of the teacher model.
5. Stable Diffusion XL Turbo has potential applications in training self-driving cars.
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The technique used in Stable Diffusion XL Turbo could be applied to training self-driving cars.
- NVIDIA has used real driving logs to analyze and create new driving situations.
- By combining this technique with image-to-image translation, it could create simulations for training self-driving cars.
6. The new text-to-image AI outperforms Stable Diffusion XL.
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The new text-to-image AI, trained on 1.1 billion images, produces high-quality outputs for text prompts.
- The new AI is preferred over Stable Diffusion XL in approximately 6 to 7 out of 10 cases.
- It has already surpassed Stable Diffusion XL, which was released 5 months ago.
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