A beginner's guide to the Realvisxl-V3 model by Sdxl-Based on Replicate

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This is a simplified guide to an AI model called Realvisxl-V3 maintained by Sdxl-Based. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

realvisxl-v3 is a fine-tuned version of SDXL designed to generate photorealistic images from text prompts. Built on the foundation of SDXL, this model represents a specialized approach to achieving high-quality photorealism in AI-generated images. The model is trainable, meaning you can customize it with your own image data to create a personalized version. Similar alternatives include realistic-vision-hyper, which focuses on fast high-quality generation, and realvisxl-v3.0-turbo, which prioritizes speed while maintaining photorealism. For those seeking faster generation with fewer steps, sdxl-lightning-4step offers an alternative approach.

Model inputs and outputs

This model accepts text prompts and optional images to generate new images or modify existing ones. The API provides extensive control over the generation process through parameters that affect image quality, style, and composition. The model outputs one to four images based on your specifications.

Inputs

prompt: Text description of the image you want to generate
negative_prompt: Description of what you don't want in the image
width and height: Dimensions of the output image (default 768x768)
num_outputs: Number of images to generate (1-4)
num_inference_steps: Denoising iterations (1-500, default 25)
guidance_scale: Strength of prompt adherence (1-50, default 7.5)
scheduler: Denoising algorithm selection (DDIM, DPM, Euler, PNDM, and variants)
seed: Random seed for reproducibility
image and mask: For image-to-image or inpainting tasks
prompt_strength: Controls how much the input image influences the output (0-1)
refine: Optional refinement approach (no_refiner, expert_ensemble_refiner, base_image_refiner)
lora_scale: Strength of applied LoRA weights (0-1, default 0.6)
apply_watermark: Add a watermark to generated images
disable_safety_checker: Disable safety filtering