stable-diffusion-3
Maintainer: stability-ai
1.2K
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | View on Arxiv |
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Model overview
Stable Diffusion 3 is a text-to-image model developed by Stability AI that has significantly improved performance compared to previous versions. It can generate high-quality, photo-realistic images from text prompts with better understanding of complex prompts, improved typography, and more efficient resource usage. Stable Diffusion 3 builds upon the capabilities of earlier Stable Diffusion models, as well as related text-to-image models like SDXL and Stable Diffusion Img2Img.
Model inputs and outputs
Stable Diffusion 3 takes in a text prompt, a cfg (guidance scale) value, a seed, aspect ratio, output format, and output quality. It generates an array of image URLs as output. The guidance scale controls how closely the output matches the input prompt, the seed sets the random number generator for reproducibility, and the other parameters allow customizing the image generation.
Inputs
- Prompt: The text prompt describing the desired image
- Cfg: The guidance scale, controlling similarity to the prompt
- Seed: A seed value for reproducible image generation
- Aspect Ratio: The aspect ratio of the output image
- Output Format: The file format of the output image, such as WEBP
- Output Quality: The quality setting for the output image
Outputs
- Array of Image URLs: The generated images as a list of URLs
Capabilities
Stable Diffusion 3 demonstrates significant improvements in image quality, typography, and complex prompt understanding compared to earlier versions. It can generate highly detailed, photorealistic images from a wide range of textual prompts. The model is also more resource-efficient, allowing for faster generation and deployment.
What can I use it for?
Stable Diffusion 3 can be used for a variety of creative and commercial applications, such as generating product images, conceptual artwork, illustrations, and more. Its enhanced capabilities make it well-suited for tasks that require high-quality, customized visuals generated from text. Businesses and creators could leverage Stable Diffusion 3 to quickly produce images for marketing, e-commerce, product design, and other visual content needs.
Things to try
Experiment with Stable Diffusion 3 by providing detailed, multi-sentence prompts that challenge the model's understanding of complex scenes, objects, and styles. Try prompts that combine specific visual elements, styles, and moods to see the model's ability to interpret and generate cohesive, high-quality images. Additionally, play with the guidance scale and other parameters to find the optimal settings for your desired output.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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