This is a simplified guide to an AI model called Realvisxl4 maintained by Zelenioncode. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The realvisxl4 model is a text-to-image AI model developed by Replicate user zelenioncode. It uses the RealVisXL v4.0 (Realistic Vision with Stable Diffusion XL) pretrained model to generate realistic photographic images based on a provided text prompt. Similar models include real-esrgan, gfpgan, multidiffusion-upscaler, controlnet-x-ip-adapter-realistic-vision-v5, and animagine-xl-3.1.
Model inputs and outputs
The realvisxl4 model takes a text prompt as the main input, along with optional parameters like image size, guidance scale, number of inference steps, and a seed value. It generates high-quality photographic images based on the provided prompt.
Inputs
- Prompt: The text prompt that describes the desired image
- Negative prompt: A text prompt that describes what should be avoided in the generated image
- Scheduler: The scheduler algorithm to use for image generation
- Width/Height: The desired dimensions of the output image
- Guidance scale: The amount of influence the prompt has on the generated image
- Num inference steps: The number of steps to use for the image generation process
- Seed: A value to initialize the random number generator for reproducibility
Outputs
- List of images: The generated photographic images that match the provided text prompt
Capabilities
The realvisxl4 model can produce hig...
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