stable-diffusion-v1-5
Maintainer: cjwbw
34
| Property | Value |
|---|---|
| Model Link | View on Replicate |
| API Spec | View on Replicate |
| Github Link | No Github link provided |
| Paper Link | No paper link provided |
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Model overview
stable-diffusion-v1-5 is a text-to-image AI model created by cjwbw. It is a variant of the popular Stable Diffusion model, which is capable of generating photo-realistic images from text prompts. This version, v1-5, includes updates and improvements over the original Stable Diffusion model. Similar models created by cjwbw include stable-diffusion-v2, stable-diffusion-2-1-unclip, and stable-diffusion-v2-inpainting.
Model inputs and outputs
stable-diffusion-v1-5 takes in a variety of inputs, including a text prompt, an optional initial image, a seed value, and other parameters to control the image generation process. The model then outputs one or more images based on the provided inputs.
Inputs
- Prompt: The text prompt that describes the desired image.
- Mask: A black and white image to use as a mask for inpainting over an initial image.
- Seed: A random seed value to control the image generation process.
- Width and Height: The desired size of the output image.
- Scheduler: The algorithm used to generate the image.
- Init Image: An initial image to generate variations of.
- Num Outputs: The number of images to generate.
- Guidance Scale: The scale for classifier-free guidance.
- Prompt Strength: The strength of the prompt when using an initial image.
- Num Inference Steps: The number of denoising steps to take.
Outputs
- The generated image(s) in the form of a URI(s).
Capabilities
stable-diffusion-v1-5 is capable of generating a wide range of photo-realistic images from text prompts, including scenes, objects, and even abstract concepts. The model can also be used for tasks like image inpainting, where it can fill in missing parts of an image based on a provided mask.
What can I use it for?
stable-diffusion-v1-5 can be used for a variety of creative and practical applications, such as:
- Generating unique and custom artwork for personal or commercial projects
- Creating illustrations, concept art, and other visual assets for games, films, and other media
- Experimenting with different text prompts to explore the model's capabilities and generate novel ideas
- Incorporating the model into existing workflows or applications to automate and enhance image creation tasks
Things to try
One interesting aspect of stable-diffusion-v1-5 is its ability to incorporate an initial image and use that as a starting point for generating new variations. This can be a powerful tool for creative exploration, as you can use existing artwork or photographs as a jumping-off point and see how the model interprets and transforms them.
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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