---
library_name: tf-keras
license: creativeml-openrail-m
tags:
- diffusers
- stable-diffusion
- text-to-image
- keras-dreambooth
- scifi
widget:
- text: a fishing village under a cherry blossom forest at sunset in mrf style
---

## Model description

This model has been fine-tuned to learn the concept of Minecraft by [ChienVM](https://huggingface.co/vumichien) on this [dataset](https://huggingface.co/datasets/keras-dreambooth/minercraft)

## Intended uses & limitations

Concept token "mrf style". Example: "a photo of landscape in mrf style"
This model only finetunes with the landscape image in Minecraft world. Therefore, it can not generate good iamges with other concepts.

## Some examples prompt

<figure>
  <img src="https://huggingface.co/vumichien/dreambooth_diffusion_minercraft/resolve/main/demo_01.png" alt="Sample 1">
  <figcaption>Prompt: a fishing village under a cherry blossom forest at sunset in mrf style. 
              Negative prompt: bad anatomy, soft blurry. 
              Steps: 50, CFG scale: 7.5, Size: 512x12
  </figcaption>
</figure>


<figure>
  <img src="https://huggingface.co/vumichien/dreambooth_diffusion_minercraft/resolve/main/demo_02.png" alt="Sample 2">
  <figcaption>Prompt: a photo of landscape in mrf style. 
              Negative prompt: bad anatomy, soft blurry. 
              Steps: 50, CFG scale: 7.5, Size: 512x12
  </figcaption>
</figure>


## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:

| Hyperparameters | Value |
| :-- | :-- |
| inner_optimizer.class_name | Custom>RMSprop |
| inner_optimizer.config.name | RMSprop |
| inner_optimizer.config.weight_decay | None |
| inner_optimizer.config.clipnorm | None |
| inner_optimizer.config.global_clipnorm | None |
| inner_optimizer.config.clipvalue | None |
| inner_optimizer.config.use_ema | False |
| inner_optimizer.config.ema_momentum | 0.99 |
| inner_optimizer.config.ema_overwrite_frequency | 100 |
| inner_optimizer.config.jit_compile | True |
| inner_optimizer.config.is_legacy_optimizer | False |
| inner_optimizer.config.learning_rate | 0.0010000000474974513 |
| inner_optimizer.config.rho | 0.9 |
| inner_optimizer.config.momentum | 0.0 |
| inner_optimizer.config.epsilon | 1e-07 |
| inner_optimizer.config.centered | False |
| dynamic | True |
| initial_scale | 32768.0 |
| dynamic_growth_steps | 2000 |
| training_precision | mixed_float16 |