What is Realistic-Vision-v4?

Realistic-Vision-v4 is an AI model for generating highly realistic images from textual descriptions, available on Hugging Face.

Who developed Realistic-Vision-v4?

Realistic-Vision-v4 was developed by Onlyfake.

What technologies does Realistic-Vision-v4 use?

Realistic-Vision-v4 uses advanced technologies including Diffusers, Safetensors, and StableDiffusionPipeline.

Where can I find Realistic-Vision-v4?

You can find Realistic-Vision-v4 on Hugging Face.

What are some recommended negative prompts for using Realistic-Vision-v4?

Recommended negative prompts include terms like 'deformed', 'semi-realistic', 'cgi', 'worst quality', 'low quality', 'mutation', and 'dehydrated' among others.

What parameters are recommended for image generation with Realistic-Vision-v4?

Recommended parameters include Euler A or DPM++ SDE Karras, CFG Scale 3.5-15, Hires. fix with 4x-UltraSharp upscaler, 0 Hires steps, and Denoising strength 0.25-0.7.

What is the license for Realistic-Vision-v4?

Realistic-Vision-v4 is licensed under the creativeml-openrail-m.

Can I use Realistic-Vision-v4 for professional projects?

Yes, Realistic-Vision-v4 is suitable for both creative and professional projects.

Does Realistic-Vision-v4 support safetensor output?

Yes, Realistic-Vision-v4 is designed to support safetensor output.

How can I improve image quality with Realistic-Vision-v4?

You can improve image quality by refining the prompts and using the recommended negative prompts and generation parameters.

Onlyfakes HuggingFace

Name: Onlyfakes HuggingFace
Brand: Onlyfakes HuggingFace
Rating: 5 (1 reviews)
Author: Onlyfakes HuggingFace

Claim Tool

Last updated: August 8, 2024

0 reviews

What is Onlyfakes HuggingFace?

Realistic-Vision-v4 is a powerful AI model available on Hugging Face, developed by Onlyfake. This text-to-image model leverages advanced technologies such as Diffusers and StableDiffusionPipeline to generate highly realistic images from textual descriptions. Designed to work with Safetensors, this model is optimized for both high-quality image generation and safetensor output, ensuring a wide range of applications from creative projects to professional use. Users can refine their outputs using specific negative prompts and generation parameters for the best results.