
**This model is trained for 5 characters from Saving 80,000 Gold in Another World for My Retirement (老後に備えて異世界で8万枚の金貨を貯めます)**

Most information along with examples can be found on the civitAI model page
https://civitai.com/models/17336/roukin8-character-lohaloconfullckpt-8

#### Usage

There are three formats: loha, locon, and full checkpoint
The first two are part of the [LyCORIS](https://github.com/KohakuBlueleaf/LyCORIS) project and can be used as lora in a1111-webui once this [extension](https://github.com/KohakuBlueleaf/a1111-sd-webui-locon) is installed

You probably want to separate names by ; as this is how the model is trained. E.g.
> Sabine; YamanoMitsuha; multiple girls, 2girls, bow, sliding doors, apron, dress, indoors, holding, bowtie, smile, open door, door

As usual, two characters are fine, but more are difficult


#### Dataset Description

The dataset is prepared via the workflow https://github.com/cyber-meow/anime_screenshot_pipeline

It contains 2948 roukin anime screenshots and 19279 regularization images.
The anime screenshots can be downloaded from civitai.


#### Training

- Common: clip skip 1, resolution 512, batch size 8, on top of [Crosstyan/BPModel](https://huggingface.co/Crosstyan/BPModel)
- Full checkpoint: 2.5e-6 cosine scheduler, Adam8bit, conditional dropout 0.08
- Loha/LoCon: 2e-4 constant scheduler, AdamW
{"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "anime", "aiart"], "pipeline_tag": "text-to-image"}
diffusers stable-diffusion anime aiart text-to-image license:creativeml-openrail-m endpoints_compatible has_space diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #stable-diffusion #anime #aiart #text-to-image #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 


This model is trained for 5 characters from Saving 80,000 Gold in Another World for My Retirement (老後に備えて異世界で8万枚の金貨を貯めます)

Most information along with examples can be found on the civitAI model page
URL

#### Usage

There are three formats: loha, locon, and full checkpoint
The first two are part of the LyCORIS project and can be used as lora in a1111-webui once this extension is installed

You probably want to separate names by ; as this is how the model is trained. E.g.
> Sabine; YamanoMitsuha; multiple girls, 2girls, bow, sliding doors, apron, dress, indoors, holding, bowtie, smile, open door, door

As usual, two characters are fine, but more are difficult


#### Dataset Description

The dataset is prepared via the workflow URL

It contains 2948 roukin anime screenshots and 19279 regularization images.
The anime screenshots can be downloaded from civitai.


#### Training

- Common: clip skip 1, resolution 512, batch size 8, on top of Crosstyan/BPModel
- Full checkpoint: 2.5e-6 cosine scheduler, Adam8bit, conditional dropout 0.08
- Loha/LoCon: 2e-4 constant scheduler, AdamW
#### Usage

There are three formats: loha, locon, and full checkpoint
The first two are part of the LyCORIS project and can be used as lora in a1111-webui once this extension is installed

You probably want to separate names by ; as this is how the model is trained. E.g.
> Sabine; YamanoMitsuha; multiple girls, 2girls, bow, sliding doors, apron, dress, indoors, holding, bowtie, smile, open door, door

As usual, two characters are fine, but more are difficult #### Dataset Description

The dataset is prepared via the workflow URL

It contains 2948 roukin anime screenshots and 19279 regularization images.
The anime screenshots can be downloaded from civitai. #### Training

- Common: clip skip 1, resolution 512, batch size 8, on top of Crosstyan/BPModel
- Full checkpoint: 2.5e-6 cosine scheduler, Adam8bit, conditional dropout 0.08
- Loha/LoCon: 2e-4 constant scheduler, AdamW
TAGS
#diffusers #stable-diffusion #anime #aiart #text-to-image #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
 #### Usage

There are three formats: loha, locon, and full checkpoint
The first two are part of the LyCORIS project and can be used as lora in a1111-webui once this extension is installed

You probably want to separate names by ; as this is how the model is trained. E.g.
> Sabine; YamanoMitsuha; multiple girls, 2girls, bow, sliding doors, apron, dress, indoors, holding, bowtie, smile, open door, door

As usual, two characters are fine, but more are difficult #### Dataset Description

The dataset is prepared via the workflow URL

It contains 2948 roukin anime screenshots and 19279 regularization images.
The anime screenshots can be downloaded from civitai. #### Training

- Common: clip skip 1, resolution 512, batch size 8, on top of Crosstyan/BPModel
- Full checkpoint: 2.5e-6 cosine scheduler, Adam8bit, conditional dropout 0.08
- Loha/LoCon: 2e-4 constant scheduler, AdamW
TAGS
#diffusers #stable-diffusion #anime #aiart #text-to-image #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
#### Usage

There are three formats: loha, locon, and full checkpoint
The first two are part of the LyCORIS project and can be used as lora in a1111-webui once this extension is installed

You probably want to separate names by ; as this is how the model is trained. E.g.
> Sabine; YamanoMitsuha; multiple girls, 2girls, bow, sliding doors, apron, dress, indoors, holding, bowtie, smile, open door, door

As usual, two characters are fine, but more are difficult#### Dataset Description

The dataset is prepared via the workflow URL

It contains 2948 roukin anime screenshots and 19279 regularization images.
The anime screenshots can be downloaded from civitai.#### Training

- Common: clip skip 1, resolution 512, batch size 8, on top of Crosstyan/BPModel
- Full checkpoint: 2.5e-6 cosine scheduler, Adam8bit, conditional dropout 0.08
- Loha/LoCon: 2e-4 constant scheduler, AdamW