GeneVis - AI Image Generation Model

GeneVis is a state-of-the-art image generation model built on the Stable Diffusion architecture. This model excels at generating high-quality images from textual descriptions.

Model Description

GeneVis has been trained to understand and generate diverse visual content based on text prompts. It leverages advanced diffusion techniques to produce detailed and coherent images.

Key Features

High-quality image generation
Fast inference time
Diverse output styles
Customizable generation parameters

Usage

from diffusers import StableDiffusionPipeline
import torch

pipeline = StableDiffusionPipeline.from_pretrained("username/genevis")
pipeline = pipeline.to("cuda")

prompt = "your text description here"
image = pipeline(prompt).images[0]
image.save("generated_image.png")

Examples

[Add example images and their prompts here]

Training

This model was fine-tuned on [dataset details] using [training details].

License

This model is released under the MIT license.