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sh20raj/Genivis
Genivis is a text-to-image model from sh20raj. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as mit.
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.
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From the Hugging Face model README
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.
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")
[Add example images and their prompts here]
This model was fine-tuned on [dataset details] using [training details].
This model is released under the MIT license.