---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: '-'
  output:
    url: images/card2.jpg
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: dreambooth, text to image, bagan
license: mit
metrics:
- code_eval
pipeline_tag: text-to-image
---
# bagan-text-to-image
### Text-To-Image (Bagan Ai Generated)

### Results

We display the results using a range of training samples and images from different image categories, such as pagodas and Buddha statues.
  

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6598b82502c4796342239a35/2z5Xa8Ba1ViaAolxSCaBl.png)




### Problem Statement:
When we prompted the stable diffusion model to generate an image of Bagan, it produced an image depicting a pagoda from Thailand. Hence, our decision was to fine-tune the current stable diffusion model using a multitude of Bagan photos in order to attain a clearer outcome.

### How to use:
prompt = "fantasy bagan,hypper detailed , peaceful mood ,The central theme could revolve around a fantastical journey through a magical realm, featuring characters with ethereal and surreal qualities, set against a backdrop of vibrant and enchanting landscapes, The color palette would be a harmonious combination of  Jean's bold and surreal hues, by yukisakura  sunset."

negative_prompt = ""

num_samples = 5 

guidance_scale = 9

num_inference_steps = 100 

height = 512

width = 512 

with autocast("cuda"), torch.inference_mode():
    images = pipe(
        prompt,
        height=height,
        width=width,
        negative_prompt=negative_prompt,
        num_images_per_prompt=num_samples,
        num_inference_steps=num_inference_steps,
        guidance_scale=guidance_scale,
        generator=g_cuda
    ).images

for img in images:
    display(img)

### Contributors:
Main Contributor: [Ye Bhone Lin](https://github.com/Ye-Bhone-Lin)

Supervisor: Sa Phyo Thu Htet

Contributors: Thant Htoo San, Min Phone Thit

### Limitation:
We can't generate a photo of a human.

### Other Work:

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6598b82502c4796342239a35/MwR8pZ8xd6IXrNrvNL5ru.png)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6598b82502c4796342239a35/w-7_MOhc0dMt6uEcdPoay.png)
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6598b82502c4796342239a35/TpLTtrQBFLFQmbIvzdF5V.png)

### References:
Wikipedia (2022). Stable Diffusion. Retrieved From: https://en.wikipedia.org/wiki/Stable_Diffusion

Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022). High-Resolution Image Synthesis with Latent Diffusion Models. Retrieved From: https://arxiv.org/abs/2112.10752

Naomi Brown (2022). What is Stable Diffusion and How to Use it. Retrieved From: https://www.fotor.com/blog/what-is-stable-diffusion

Mishra, O. (June, 9). Stable Diffusion Explained. Medium. https://medium.com/@onkarmishra/stable-diffusion-explained-1f101284484d