| license: mit | |
| tags: | |
| - stable-diffusion | |
| - text-to-image | |
| - diffusers | |
| - image-generation | |
| # 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 | |
| ```python | |
| 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. | |