Stable Diffusion is an image generation model that can generate new images from scratch or alter existing images based on a text prompt. It uses a "diffusion-denoising mechanism" to incorporate new elements into existing images, as well as "inpainting" and "outpainting" to partially alter images.
The image above was created with Stable Diffusion
Here are some websites that you can try Stable Diffusion tool:
- https://huggingface.co/spaces/stabilityai/stable-diffusion
- https://hotpot.ai/art-generator?s=stable-diffusion-api
- https://huggingface.co/spaces/stabilityai/stable-diffusion
- https://stablediffusionweb.com/
The main advantage of using Stable Diffusion is its ability to generate custom images on demand based on a user-provided text prompt. This makes it a useful tool for tasks such as design and product visualization, as well as for creating original, creative content.
In addition, the model's "txt2img" feature allows users to adjust the output of the model by changing various option parameters such as the sampling type, output image dimensions, and seed values. Users can also influence the model's output by adjusting the number of inference steps, the classifier-free guidance scale value, and the weight given to specific parts of the text prompt using emphasis markers or negative prompts. Negative prompts are a feature in some front-end implementations of Stable Diffusion that allow users to specify prompts that the model should avoid during image generation.
