realvisxl-v3.0-turbo
Maintainer: adirik
73
| Property | Value |
|---|---|
| Model Link | View on Replicate |
| API Spec | View on Replicate |
| Github Link | View on Github |
| Paper Link | No paper link provided |
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Model Overview
realvisxl-v3.0-turbo is a photorealistic image generation model based on the SDXL (Stable Diffusion XL) architecture, developed by Replicate user adirik. This model is part of the RealVisXL model collection and is available on Civitai. It aims to produce highly realistic and detailed images from text prompts. The model can be compared to similar photorealistic models like realvisxl4 and instant-id-photorealistic.
Model Inputs and Outputs
realvisxl-v3.0-turbo takes a variety of input parameters to control the image generation process. These include the prompt, negative prompt, input image, mask, dimensions, number of outputs, and various settings for the generation process. The model outputs one or more generated images as URIs.
Inputs
- Prompt: The text description that guides the image generation process.
- Negative Prompt: Terms or descriptions to avoid in the generated image.
- Image: An input image for use in img2img or inpaint modes.
- Mask: A mask defining areas in the input image to preserve or alter.
- Width and Height: The desired dimensions of the output image.
- Number of Outputs: The number of images to generate.
- Scheduler: The algorithm used for image generation.
- Number of Inference Steps: The number of denoising steps in the generation process.
- Guidance Scale: The influence of the classifier-free guidance.
- Prompt Strength: The influence of the input prompt in img2img or inpaint modes.
- Seed: A random seed for reproducible image generation.
- Refine: The style of refinement to apply to the generated image.
- High Noise Frac: The fraction of noise to use for the
expert_ensemble_refiner. - Refine Steps: The number of steps for the
base_image_refiner. - Apply Watermark: Whether to apply a watermark to the generated images.
- Disable Safety Checker: Disable the safety checker for generated images.
Outputs
- One or more generated images as URIs.
Capabilities
realvisxl-v3.0-turbo is capable of generating highly photorealistic images from text prompts. The model leverages the power of SDXL to produce detailed, lifelike results that can be used in a variety of applications, such as visual design, product visualization, and creative projects.
What Can I Use It For?
realvisxl-v3.0-turbo can be used for a wide range of applications that require photorealistic image generation. This includes creating product visualizations, designing book covers or album art, generating concept art for games or films, and more. The model can also be used to create unique and compelling digital art assets. By leveraging the capabilities of this model, users can streamline their creative workflows and explore new artistic possibilities.
Things to Try
One interesting aspect of realvisxl-v3.0-turbo is its ability to generate images with a high level of photorealism. Try experimenting with detailed prompts that describe complex scenes or objects, and see how the model handles the challenge. Additionally, try using the img2img and inpaint modes to refine or modify existing images, and explore the different refinement options to achieve the desired aesthetic.
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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