Stable Diffusion AI is an open-source deep learning text-to-image generation model developed jointly by the CompVis team and Runway ML, with computational support from Stability AI. It can generate high-quality images based on textual descriptions and perform tasks such as image completion, extrapolation, and text-guided image-to-image transformation. Stable Diffusion AI has open-sourced its code, pre-trained models, and license, allowing users to run it on a single GPU. This makes it the first open-source deep text-to-image model that can run on users' local devices.
Target Audience:
["Artistic Creation", "Graphic Design", "Website Visual Design", "3D Modeling", "Education", "Game Development", "Social Media Content Creation", "Advertising Creatives"]
Example Use Cases:
- Users can input a text description like 'a yellow dog playing on the grass', and Stable Diffusion AI will generate an image matching the description.
- Users can provide prompts like 'add a crown to this picture of a cat', and Stable Diffusion AI will add a crown to the cat in the original image.
- Users can use Stable Diffusion AI to complete images, automatically filling in obscured areas in pictures.
Tool Features:
- Generate new images based on textual prompts
- Redraw and add new elements to existing images based on text
- Modify existing images through completion and extrapolation
- Support changing image style and tone while retaining geometric structure using ControlNet
- Support facial replacement
Tool Tags: Image Generation, Image Processing
