---
language: en
license: apache-2.0
tags:
- art
- image-generation
- text-to-image
- diffusion
- high-quality
- AI
pipeline_tag: text-to-image
thumbnail: https://example.com/thumbnail.png
---

# ImageGroundV0.1

**Model Card for `enhanceaiteam/ImageGroundV0.1`**

`ImageGroundV0.1` is a powerful text-to-image generation model developed by EnhanceAI. It leverages advanced diffusion techniques to produce high-quality, detailed images based on textual descriptions. This model is designed to assist artists, designers, and creative professionals in generating visually compelling and accurate images.

## Model Details

- **Version**: 0.1
- **Base Model**: EnhanceAI's proprietary image generation architecture
- **Training Data**: The model has been trained on a diverse dataset of high-resolution, copyright-free images, ensuring a broad range of visual styles and subjects.
- **Pipeline**: Stable Diffusion XL Pipeline

## Features

- **High-Resolution Output**: Generates images at 1024x1024 resolution.
- **Enhanced Prompt Understanding**: Improved comprehension of complex and detailed text prompts.
- **Versatile Style Generation**: Capable of producing images in various artistic and realistic styles.
- **High-Quality Images**: Delivers visually stunning and detailed images.

## Usage

To use `ImageGroundV0.1`, you can integrate it with the `diffusers` library. Below is an example of how to generate images:

```python
import torch
from diffusers import (
    StableDiffusionXLPipeline,
    KDPM2AncestralDiscreteScheduler,
    AutoencoderKL
)

# Load VAE component
vae = AutoencoderKL.from_pretrained(
    "madebyollin/sdxl-vae-fp16-fix", 
    torch_dtype=torch.float16
)

# Configure the pipeline
pipe = StableDiffusionXLPipeline.from_pretrained(
    "enhanceaiteam/ImageGroundV0.1", 
    vae=vae,
    torch_dtype=torch.float16
)
pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.to('cuda')

# Define prompts and generate image
prompt = "a serene landscape with mountains and a clear sky"
negative_prompt = ""

image = pipe(
    prompt, 
    negative_prompt=negative_prompt, 
    width=1024,
    height=1024,
    guidance_scale=7,
    num_inference_steps=50,
    clip_skip=2
).images[0]

image.save("generated_image.png")
```

## Prompts

When creating prompts, be as descriptive as possible to achieve the desired results. Detailed descriptions help the model generate more accurate and relevant images.

## Image Samples

Here are some example images generated by `ImageGroundV0.1`:

- ![Example Image 1](https://enhanceai.s3.amazonaws.com/f735ed72-5c34-425e-8628-58527053ca81_3.png)
- ![Example Image 2](https://enhanceai.s3.amazonaws.com/066df381-0429-4445-a4a6-7e098718058e_1.png)
- ![Example Image 3](https://enhanceai.s3.amazonaws.com/bffeebfa-7bff-4377-8cd2-1705a6ef92a9_1.png)
- ![Example Image 4](https://enhanceai.s3.amazonaws.com/0a81bcd2-a640-45fa-8fba-4db282e3ac4a_1.png)
- ![Example Image 5](https://enhanceai.s3.amazonaws.com/915a1e2a-32ed-45a8-bccf-d4ad6abe81d9_1.png)
- ![Example Image 6](https://enhanceai.s3.amazonaws.com/e0723a97-a425-492a-8387-8e735084d718_1.png)

## Explore 

Explore and try out `ImageGroundV0.1` on the [EnhanceAI Playground](https://enhanceai.art/playground). Experiment with different prompts and see the incredible results you can achieve.

## Api Service 

1. Modelslab - https://modelslab.com/models/imagegroundv

## License

`ImageGroundV0.1` is licensed under the [Apache 2.0 License](https://opensource.org/licenses/Apache-2.0). 

## Contact

For support and inquiries, please reach out to [info@enhanceai.art](mailto:info@enhanceai.art).

---

Happy creating!

- The EnhanceAI Team
- Pranav Ajay
- Arsh Javed