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.
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.
1from diffusers import StableDiffusionPipeline
2import torch
3
4pipeline = StableDiffusionPipeline.from_pretrained("username/genevis")
5pipeline = pipeline.to("cuda")
6
7prompt = "your text description here"
8image = pipeline(prompt).images[0]
9image.save("generated_image.png")
This model was fine-tuned on [dataset details] using [training details].
This model is released under the MIT license.
