### gta Dreambooth model trained by Sula1723 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook

This model was trained on the official art images of the GTA 5 game, which usually appear on the loading screens. These arts include images of people, animals, and various objects that are usually part of a general picture or background.
Stable Diffusion v1-5 was used for training, also about 30 concept images and 1000 regularization images for style training.
**Due to the use of Google Colab resources, you do not need to have a GPU and you can freely experiment on your concepts.**
To select the optimal settings before training, I recommend using this [guide](https://github.com/nitrosocke/dreambooth-training-guide) written by Nitrosocke.

To reference the art style, use the token: *gta*

Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)

**Sample pictures of this concept:**

![arnold](sample_images/arnold.png)
![arnold](sample_images/superman.png)
![arnold](sample_images/dog.png)
![arnold](sample_images/keanu.png)
![arnold](sample_images/kendall.png)
![arnold](sample_images/di_caprio.png)


{"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]}
diffusers safetensors text-to-image stable-diffusion license:creativeml-openrail-m endpoints_compatible diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 

### gta Dreambooth model trained by Sula1723 with TheLastBen's fast-DreamBooth notebook

This model was trained on the official art images of the GTA 5 game, which usually appear on the loading screens. These arts include images of people, animals, and various objects that are usually part of a general picture or background.
Stable Diffusion v1-5 was used for training, also about 30 concept images and 1000 regularization images for style training.
Due to the use of Google Colab resources, you do not need to have a GPU and you can freely experiment on your concepts.
To select the optimal settings before training, I recommend using this guide written by Nitrosocke.

To reference the art style, use the token: *gta*

Test the concept via A1111 Colab fast-Colab-A1111

Sample pictures of this concept:

!arnold
!arnold
!arnold
!arnold
!arnold
!arnold


### gta Dreambooth model trained by Sula1723 with TheLastBen's fast-DreamBooth notebook

This model was trained on the official art images of the GTA 5 game, which usually appear on the loading screens. These arts include images of people, animals, and various objects that are usually part of a general picture or background.
Stable Diffusion v1-5 was used for training, also about 30 concept images and 1000 regularization images for style training.
Due to the use of Google Colab resources, you do not need to have a GPU and you can freely experiment on your concepts.
To select the optimal settings before training, I recommend using this guide written by Nitrosocke.

To reference the art style, use the token: *gta*

Test the concept via A1111 Colab fast-Colab-A1111

Sample pictures of this concept:

!arnold
!arnold
!arnold
!arnold
!arnold
!arnold
TAGS
#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
 ### gta Dreambooth model trained by Sula1723 with TheLastBen's fast-DreamBooth notebook

This model was trained on the official art images of the GTA 5 game, which usually appear on the loading screens. These arts include images of people, animals, and various objects that are usually part of a general picture or background.
Stable Diffusion v1-5 was used for training, also about 30 concept images and 1000 regularization images for style training.
Due to the use of Google Colab resources, you do not need to have a GPU and you can freely experiment on your concepts.
To select the optimal settings before training, I recommend using this guide written by Nitrosocke.

To reference the art style, use the token: *gta*

Test the concept via A1111 Colab fast-Colab-A1111

Sample pictures of this concept:

!arnold
!arnold
!arnold
!arnold
!arnold
!arnold