absolutereality-v1-8-1

Model overview

The absolutereality-v1-8-1 model is a text-to-image AI model developed by pagebrain. It is a variation of the Stable Diffusion model, with a focus on generating realistic and detailed imagery. The model utilizes a T4 GPU, negative embeddings, and techniques like img2img and inpainting to produce high-quality images. It is similar to other pagebrain models like dreamshaper-v8, epicrealism-v4, epicphotogasm-v1, epicrealism-v5, and realistic-vision-v5-1, all of which share these key features.

Model inputs and outputs

The absolutereality-v1-8-1 model accepts a variety of inputs, including a text prompt, an optional input image for img2img or inpainting, and various settings like the image size, number of outputs, and guidance scale. The model can generate up to 4 output images based on the provided inputs.

Inputs

• Prompt: The text prompt that describes the desired image.
• Negative Prompt: Specifies things to not see in the output, using supported embeddings like realisticvision-negative-embedding, BadDream, EasyNegative, and others.
• Image: An optional input image for img2img or inpainting mode.
• Seed: A random seed value, which can be left blank to randomize.
• Mask: An optional input mask for inpainting mode, with black areas preserved and white areas inpainted.
• Width/Height: The desired width and height of the output image, up to a maximum of 1024x768 or 768x1024.
• Prompt Strength: The strength of the prompt when using an input image, with 1.0 corresponding to full destruction of the input image.
• Num Outputs: The number of images to generate, up to a maximum of 4.
• Guidance Scale: The scale for classifier-free guidance, which controls the balance between the prompt and the model's learned priors.
• Num Inference Steps: The number of denoising steps to perform, up to a maximum of 500.
• Safety Checker: A toggle to enable or disable the safety checker, which filters out potentially unsafe content.

Outputs

• Image: The generated image(s) in URI format.

Capabilities

The absolutereality-v1-8-1 model is capable of generating high-quality, realistic images based on text prompts. It can also perform img2img and inpainting tasks, allowing users to generate new images based on existing ones or to fill in missing or damaged areas of an image. The model's use of negative embeddings and safety checking helps to ensure that the generated images are appropriate and free of undesirable content.

What can I use it for?

The absolutereality-v1-8-1 model can be used for a variety of creative and commercial applications, such as generating concept art, product visualizations, and photo-realistic scenes. Its versatility and attention to detail make it a valuable tool for artists, designers, and anyone looking to create high-quality, visually striking imagery. Companies may also find use for the model in areas like advertising, marketing, and product development, where compelling visuals are essential.

Things to try

One interesting aspect of the absolutereality-v1-8-1 model is its ability to generate images with a strong sense of realism and attention to detail. Users may want to experiment with prompts that challenge the model to depict intricate scenes, such as detailed landscapes, intricate machinery, or realistic human subjects. The model's inpainting capabilities also offer opportunities to explore more complex image editing and manipulation tasks, such as repairing damaged photographs or seamlessly incorporating new elements into existing images.