cyberrealistic-v3-3

Maintainer: pagebrain

Total Score

6

Last updated 6/7/2024
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Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv

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Model overview

cyberrealistic-v3-3 is an AI model developed by pagebrain that aims to generate highly realistic and detailed images. It is similar to other models like dreamshaper-v8, realistic-vision-v5-1, deliberate-v3, epicrealism-v2, and epicrealism-v4 in its use of a T4 GPU, negative embeddings, img2img, inpainting, safety checker, KarrasDPM, and pruned fp16 safetensor.

Model inputs and outputs

cyberrealistic-v3-3 takes a variety of inputs, including a text prompt, an optional input image for img2img or inpainting, a seed for reproducibility, and various settings to control the output. The model can generate multiple images based on the provided inputs.

Inputs

  • Prompt: The text prompt that describes the desired image.
  • Image: An optional input image that can be used for img2img or inpainting.
  • Seed: A random seed value to ensure reproducible results.
  • Width and Height: The desired width and height of the output image.
  • Num Outputs: The number of images to generate.
  • Guidance Scale: The scale for classifier-free guidance, which affects the balance between the prompt and the model's learned priors.
  • Num Inference Steps: The number of denoising steps to perform during image generation.
  • Negative Prompt: Text that specifies things the model should avoid generating in the output.
  • Prompt Strength: The strength of the input image's influence on the output when using img2img.
  • Safety Checker: A toggle to enable or disable the model's safety checker.

Outputs

  • Images: The generated images that match the provided prompt and other input settings.

Capabilities

cyberrealistic-v3-3 is capable of generating highly realistic and detailed images based on text prompts. It can also perform img2img and inpainting, allowing users to refine or edit existing images. The model's safety checker helps ensure the generated images are appropriate and do not contain harmful content.

What can I use it for?

cyberrealistic-v3-3 can be used for a variety of creative and practical applications, such as digital art, product visualization, architectural rendering, and scientific illustration. The model's ability to generate realistic images from text prompts can be particularly useful for creative professionals and hobbyists who want to bring their ideas to life.

Things to try

With cyberrealistic-v3-3, you can experiment with different prompts to see the range of images the model can generate. Try combining prompts with specific details or using the img2img or inpainting features to refine existing images. Adjust the various settings, such as guidance scale and number of inference steps, to see how they affect the output. Explore the negative prompt feature to see how you can guide the model away from generating unwanted content.



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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