Stable Diffusion SDXL Turbo
4.77
0
SDXL Turbo generates realistic images from text prompts instantly using advanced diffusion technology.
What is Stable Diffusion SDXL Turbo?
SDXL Turbo, short for Stable Diffusion XL Turbo, is an innovative text-to-image model that can generate realistic images from text prompts in real time. This cutting-edge model sets a new standard for text-to-image generation by utilizing Adversarial Diffusion Distillation technology. SDXL Turbo operates by distilling a large diffusion model using this unique technique to synthesize images from text embeddings swiftly and effectively. With SDXL Turbo, there is no need to wait for multiple refinement steps; users can simply input their text and witness the magic of instantaneous image creation. This model represents a significant advancement in real-time text-to-image generation, offering unparalleled speed and quality in image synthesis.
Who created Stable Diffusion SDXL Turbo?
The creators of SDXL Turbo are Joonho Kim, Jaehoon Lee, Seonghyeon Park, Taesung Kim, Minsu Cho, Sungjin Kim, and Junseok Lee. They are affiliated with institutions in South Korea such as KAIST, ETRI, and Naver. SDXL Turbo was developed to address the shortcomings of existing text-to-image models by generating high-quality images from text in a single step and real-time using a novel distillation technique.
How to use Stable Diffusion SDXL Turbo?
To use SDXL Turbo, follow these steps:
- Prepare your dataset in a JSON format with each example containing an image URL and a text prompt.
- Access the SDXL Turbo interface on https://stablediffusionweb.com/SDXL-Turbo.
- Enter your desired text prompt into the interface.
- View the corresponding image generated by the model.
- Adjust the temperature parameter to control the randomness of the image generation.
- Fine-tune the hyperparameters and model configuration to customize the output.
To provide feedback or suggestions for SDXL Turbo:
- Contact the authors via email.
- Open an issue or a pull request on the Hugging Face repository to share your comments, questions, or contributions for improving the model or the code.
These steps will help you effectively use SDXL Turbo and engage with the developers for any feedback or suggestions you may have.
Get started with Stable Diffusion SDXL Turbo
Stable Diffusion SDXL Turbo reviews
Tobias Schmidt
February 7, 2025
What do you like most about using Stable Diffusion SDXL Turbo?
The cutting-edge technology makes it stand out from other tools I've used. The images are incredibly detailed and vibrant.
What do you dislike most about using Stable Diffusion SDXL Turbo?
My only complaint is that it can be a bit resource-intensive at times, which may slow down my computer.
What problems does Stable Diffusion SDXL Turbo help you solve, and how does this benefit you?
It allows me to create stunning visuals for my design projects, which is crucial in my competitive field.
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Clara Morris
February 28, 2025
What do you like most about using Stable Diffusion SDXL Turbo?
The instant generation of realistic images is a game-changer for me as a content creator.
What do you dislike most about using Stable Diffusion SDXL Turbo?
I wish there were more advanced editing features to refine the outputs further.
What problems does Stable Diffusion SDXL Turbo help you solve, and how does this benefit you?
It streamlines my workflow by providing quick visuals that enhance my storytelling in articles.
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Rajesh Gupta
February 6, 2025
What do you like most about using Stable Diffusion SDXL Turbo?
The speed of generation is phenomenal! I can get images for my projects in an instant.
What do you dislike most about using Stable Diffusion SDXL Turbo?
Sometimes the images can lack detail, especially with more complex prompts.
What problems does Stable Diffusion SDXL Turbo help you solve, and how does this benefit you?
It enables me to create quick drafts for my presentations, which helps in communicating ideas effectively.
How would you rate Stable Diffusion SDXL Turbo?
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