
# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This LoRA model generates the cute yellow slime that was familiar in Android devices.

## Model Details

<!-- Provide a longer summary of what this model is. -->

This is LoRA-C3Lier (with conv2d-3x3). Activation word is `blob`.

There are epoch-80 model with some flexibility in prompting and epoch-160 model that are somewhat over-fitted. If you use the epoch-160 model, reduce the weights to about `0.7` when applying.

The model was trained on a 192*192 pixel image, it is better to generate with a similar size for icon-like images. Normal images may break down if they are too large.

The base model is ACertainty: https://huggingface.co/JosephusCheung/ACertainty

This LoRA was trained on the following blobmoji font (ASL 2.0) images:
https://github.com/C1710/blobmoji

Total 267 images are used for 89 different images, each with a white, black, or gray background. The prompts are `blob` and Unicode CLDR Short Name and Keywords (e.g., `blob, grinning face, black background, face, grin, grinning face`).

It is trained by `sd-scripts`, `network_dim=4, alpha=1, conv_div=4, conv_alpha=1, unet only`. See model metadata for details.


# Examples

All images are generated with ACertainty, cherrypicked.

## epoch 80, weight 1.0

![eopch 80 sample1](./epoch-080-sample1.png)
```
blob, grinning face, gray background, face, grin, grinning face
seed  : 338444264
sampler: k_euler_a
steps : 40
scale : 7.5
```
![eopch 80 sample2](./epoch-080-sample2.png)
```
blob, climbing mountain
seed  : 136505587
sampler: k_euler_a
steps : 40
scale : 7.5
```

# epoch 160, weight 0.7

![eopch 160 sample1](./epoch-160-sample1.png)
```
blob, smiling, with cat ears, white background, face, smiling, smiling face
seed  : 1461364854
sampler: k_euler_a
steps : 40
scale : 7.5
```
![eopch 160 sample2](./epoch-160-sample2.png)
```
1girl holding blob, at street
seed  : 946785248
sampler: k_euler_a
steps : 40
scale : 7.5
```

![eopch 160 sample3](./epoch-160-sample3.png)
```
blob running in akihabara
seed  : 1181241943
sampler: k_euler_a
steps : 40
scale : 7.5
```






{"license": "apache-2.0"}
license:apache-2.0 region:us
TAGS
#license-apache-2.0 #region-us 


# Model Card for Model ID


This LoRA model generates the cute yellow slime that was familiar in Android devices.

## Model Details



This is LoRA-C3Lier (with conv2d-3x3). Activation word is 'blob'.

There are epoch-80 model with some flexibility in prompting and epoch-160 model that are somewhat over-fitted. If you use the epoch-160 model, reduce the weights to about '0.7' when applying.

The model was trained on a 192*192 pixel image, it is better to generate with a similar size for icon-like images. Normal images may break down if they are too large.

The base model is ACertainty: URL

This LoRA was trained on the following blobmoji font (ASL 2.0) images:
URL

Total 267 images are used for 89 different images, each with a white, black, or gray background. The prompts are 'blob' and Unicode CLDR Short Name and Keywords (e.g., 'blob, grinning face, black background, face, grin, grinning face').

It is trained by 'sd-scripts', 'network_dim=4, alpha=1, conv_div=4, conv_alpha=1, unet only'. See model metadata for details.


# Examples

All images are generated with ACertainty, cherrypicked.

## epoch 80, weight 1.0

!eopch 80 sample1

!eopch 80 sample2


# epoch 160, weight 0.7

!eopch 160 sample1

!eopch 160 sample2


!eopch 160 sample3







# Model Card for Model ID


This LoRA model generates the cute yellow slime that was familiar in Android devices. ## Model Details



This is LoRA-C3Lier (with conv2d-3x3). Activation word is 'blob'.

There are epoch-80 model with some flexibility in prompting and epoch-160 model that are somewhat over-fitted. If you use the epoch-160 model, reduce the weights to about '0.7' when applying.

The model was trained on a 192*192 pixel image, it is better to generate with a similar size for icon-like images. Normal images may break down if they are too large.

The base model is ACertainty: URL

This LoRA was trained on the following blobmoji font (ASL 2.0) images:
URL

Total 267 images are used for 89 different images, each with a white, black, or gray background. The prompts are 'blob' and Unicode CLDR Short Name and Keywords (e.g., 'blob, grinning face, black background, face, grin, grinning face').

It is trained by 'sd-scripts', 'network_dim=4, alpha=1, conv_div=4, conv_alpha=1, unet only'. See model metadata for details. # Examples

All images are generated with ACertainty, cherrypicked. ## epoch 80, weight 1.0

!eopch 80 sample1

!eopch 80 sample2 # epoch 160, weight 0.7

!eopch 160 sample1

!eopch 160 sample2


!eopch 160 sample3
TAGS
#license-apache-2.0 #region-us 
 # Model Card for Model ID


This LoRA model generates the cute yellow slime that was familiar in Android devices. ## Model Details



This is LoRA-C3Lier (with conv2d-3x3). Activation word is 'blob'.

There are epoch-80 model with some flexibility in prompting and epoch-160 model that are somewhat over-fitted. If you use the epoch-160 model, reduce the weights to about '0.7' when applying.

The model was trained on a 192*192 pixel image, it is better to generate with a similar size for icon-like images. Normal images may break down if they are too large.

The base model is ACertainty: URL

This LoRA was trained on the following blobmoji font (ASL 2.0) images:
URL

Total 267 images are used for 89 different images, each with a white, black, or gray background. The prompts are 'blob' and Unicode CLDR Short Name and Keywords (e.g., 'blob, grinning face, black background, face, grin, grinning face').

It is trained by 'sd-scripts', 'network_dim=4, alpha=1, conv_div=4, conv_alpha=1, unet only'. See model metadata for details. # Examples

All images are generated with ACertainty, cherrypicked. ## epoch 80, weight 1.0

!eopch 80 sample1

!eopch 80 sample2 # epoch 160, weight 0.7

!eopch 160 sample1

!eopch 160 sample2


!eopch 160 sample3
TAGS
#license-apache-2.0 #region-us 
# Model Card for Model ID


This LoRA model generates the cute yellow slime that was familiar in Android devices.## Model Details



This is LoRA-C3Lier (with conv2d-3x3). Activation word is 'blob'.

There are epoch-80 model with some flexibility in prompting and epoch-160 model that are somewhat over-fitted. If you use the epoch-160 model, reduce the weights to about '0.7' when applying.

The model was trained on a 192*192 pixel image, it is better to generate with a similar size for icon-like images. Normal images may break down if they are too large.

The base model is ACertainty: URL

This LoRA was trained on the following blobmoji font (ASL 2.0) images:
URL

Total 267 images are used for 89 different images, each with a white, black, or gray background. The prompts are 'blob' and Unicode CLDR Short Name and Keywords (e.g., 'blob, grinning face, black background, face, grin, grinning face').

It is trained by 'sd-scripts', 'network_dim=4, alpha=1, conv_div=4, conv_alpha=1, unet only'. See model metadata for details.# Examples

All images are generated with ACertainty, cherrypicked.## epoch 80, weight 1.0

!eopch 80 sample1

!eopch 80 sample2# epoch 160, weight 0.7

!eopch 160 sample1

!eopch 160 sample2


!eopch 160 sample3