File size: 3,714 Bytes
a0a2bda 35075a3 a0a2bda 53a22dc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 |
---
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`:
- 
- 
- 
- 
- 
- 
## 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 [[email protected]](mailto:[email protected]).
---
Happy creating!
- The EnhanceAI Team
- Pranav Ajay
- Arsh Javed |