ShuimohuAnimeProject
A stylized anime model. The goal of the mix is to affect the style of ink washed paintings (ๆฐดๅขจ็ป, lit. water rubbed art) popular in China, Japan, and Korea from the late 10th century until the modern day on anime illustrations.
Table of Contents
Model Descriptions
SanXianWontonV1.0

The Original. This is largely a proof of concept. It resembles most like GyozaMixV1.2 with a monochromatic filter on it and a prediliction to do hanfu or do asian style landscapes and scenary. Very controllable but the styllistic flavor is weak.
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SanXianWontonV1.1

This is V1.0 but just remade with newer loras and a newer base model. I think it's better. It's more versatile at the very least.
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SanXianWontonV1.2plusMSG

Thanks to the aesthetic composition strength of the base model, GyozaMixV2, being strengthened it is possible to increase the styllistic flavor without it collapsing as easily. This model is very flavorful but is hard to control. Realistic tags will bring it back towards an anime style.
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SanXianWontonV1.3plusAnime

This model resembles anime more than V1.1 thanks to the addition of a watercolor and anime influences. However all its outputs are a bit generic looking. In addition, hand collapses even worse now. It is good at portrait shots and will perform subpar at most other things.
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SanXianWontonV2.0

This model resembles the original SanXianWonton, but with big upgrades to color and landscape. It still slightly is monochromatic but is more of a generalized anime model now. In order to get it to resemble Shuimohua more closely it is advised that you use Moxin lora on it.
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Licence
This model inherits the Silicon-29 license and is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
- You can't use the model to deliberately produce nor share illegal or harmful outputs or content
- The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
- You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license here ๏ผhttps://huggingface.co/spaces/CompVis/stable-diffusion-license
Terms of Use
- Clearly indicate where modifications have been made.
If you used it for merging, please state what steps you took to do so.
Disclaimer
READ MORE: Disclaimer
The user has complete control over whether or not to generate NSFW content, and the user's decision to enjoy either SFW or NSFW is entirely up to the user.The learning model does not contain any obscene visual content that can be viewed with a single click.The posting of the Learning Model is not intended to display obscene material in a public place.
In publishing examples of the generation of copyrighted characters, I consider the following cases to be exceptional cases in which unauthorised use is permitted.
"when the use is for private use or research purposes; when the work is used as material for merchandising (however, this does not apply when the main use of the work is to be merchandised); when the work is used in criticism, commentary or news reporting; when the work is used as a parody or derivative work to demonstrate originality."
In these cases, use against the will of the copyright holder or use for unjustified gain should still be avoided, and if a complaint is lodged by the copyright holder, it is guaranteed that the publication will be stopped as soon as possible.
I would also like to note that I am aware of the fact that many of the merged models use NAI, which is learned from Danbooru and other sites that could be interpreted as illegal, and whose model data itself is also a leak, and that this should be watched carefully. I believe that the best we can do is to expand the possibilities of GenerativeAI while protecting the works of illustrators and artists.
Hashes
- SanXianWonton.safetensors
[c9d15393ae1cc461f1672f8edf1f33adc4ad91072a1ba59cd8baf8a42695daba]
- 3FWonton+MSG.safetensors
[fbdd29b923f0f1efe58ab6ec9b4152d15b068c4853430896ed069927aed67a83]
- 3FWonton+anime.safetensors
[ 2ecd09417d5a165f6c26accfcc58acd0fff313b6d63c116aa2fe3d781a3a053d]
Mixing Guide
Models
- StoreGyozaV1.2
[7c8eef56]ใ9d44c42c2b630010a744f7c74a1185ff74ccd8b9a2f6359892996a92df3eec5bใ
- GyozaMix2
[f8f043d1]ใb04029407a6e59a2b6f5c355e8bac27e66cee2805d51835d72dec5f46e48c9c2ใ
- DPAnimelike
ใd9454b0f315535607f8db94c0537ec465eff6d6ef262b0cee6fd1bc2a34e351aใ
LoRAs
- KimHongdo
ใf0d0d02c5eb4cf85441f4d104dc00b1510a0e35ded68e37804b5de863c0e3da1ใ
- Moxin
ใ3fd52c707c31b9af2207f697d9dd26b400683d011914471814bb33645f518f07ใ
- ShukezoumaV1.1
ใf79768ec7b9e4f615458e0ea645424af183ffc0ebf020caab994eebe4dc84f7dใ
- XiaorenshuV1.5
ใdd9ead4035c17d3169fbb4a34a720b4909d54a5c367eaab5ae4b9e91eaebea3cใ
- XiaorenshuV2
ใ50d66bdc578e56e368cb4756284313168b0b67af64db3305fdf30b7c67e37c1fใ
- ShukezoumaColor
ใcd115f0a3914a9547813566b7b9a0a8cb2bacb4aa8c9c4bedd400365ce9fcab5ใ
- WaterSmudge
[ 51d5df24dbff32ff7ec203d1f237ac18d773722782ab2a7dde8882dc2510621b]
- DPanimelikeLora
[ 23e6e35fb580a924eacd7b7bbd979cb431bdd99ab79543589bbb330541809277]
- Sili-landscape
[52dd202159fb977e455bf57ba757a7afbcd118441f83192d3c9200a9f156d8f7]
Recipes
SanXianWonton Recipe
| Model |
Lora |
Weight |
Merge Name |
| StoreGyozaV1.2 |
KimHongdo |
0.5 |
StoreGyozaV1.2_L |
| StoreGyozaV1.2_L |
Moxin |
0.3 |
StoreGyozaV1.2_L2 |
| StoreGyozaV1.2_L2 |
ShukezoumaV1.1 |
0.35 |
StoreGyozaV1.2_L3 |
| StoreGyozaV1.2_L3 |
XiaorenshuV1.5 |
0.2 |
SanXianWontonV1 |
3FWonton Recipe
See above but replace XiaorenshuV1.5 with V2 and StoreGyozaV1.2 with GyozaMixV2.
3FWonton+MSG Recipe
| Model |
Lora |
Weight |
Merge Name |
| GyozaMixV2 |
KimHongdo |
0.5 |
GyozaMixV2_L |
| GyozaMixV2_L |
Moxin |
0.5 |
GyozaMixV2_L2 |
| GyozaMixV2_L2 |
ShukezoumaV1.1 |
0.7 |
GyozaMixV2_L3 |
| GyozaMixV2_L3 |
ShukezoumaColor |
0.6 |
GyozaMixV2_L4 |
| GyozaMixV2_L3 |
XiaorenshuV2 |
0.2 |
3FWonton+MSG |
3FWonton+anime Recipe
| Model |
Lora |
Weight |
Merge Name |
| GyozaMixV2 |
KimHongdo |
1.0 |
GyozaMixV2_L |
| GyozaMixV2_L |
ShukezoumaV1.1 |
0.7 |
GyozaMixV2_L2 |
| GyozaMixV2_L2 |
XiaorenshuV2 |
0.5 |
GyozaMixV2_L3 |
| GyozaMixV2_L3 |
Moxin |
0.5 |
GyozaMixV2_L4 |
| GyozaMixV2_L4 |
waterSmudge |
0.8 |
GyozaMixV2_L5 |
| GyozaMixV2_L5 |
DPanimelikeLora |
1.0 |
3FWonton+anime |
SanXianWonton2 Recipe
| Model |
Lora |
Weight |
Merge Name |
| 3FWonton+MSG |
sili-landscape |
1.0 |
3FWonton+MSG+sili |
| Model: A |
Model: B |
Weight |
Base alpha |
Merge Name |
| DPAnimelike |
Silicon29-dark |
RCOSINE |
0 |
DPAnimesili |
| Model: A |
Model: B |
Weight |
Base alpha |
Merge Name |
| DPAnimesili |
3FWonton+MSG+sili |
1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1 |
1 |
SanXianWonton2 |
Examples
SanXianWontonV1.0 Examples
Tall Aspect Ratio
SanXianWontonV1.1 Examples
Tall Aspect Ratio
Wide Aspect Ratio
SanXianWontonV1.2plusMSG Examples
Tall Aspect Ratio

Wide Aspect Ratio
SanXianWontonV1.3plusAnime Examples
Tall Aspect Ratio
Wide Aspect Ratio
SanXianWontonV2.0 Examples
Tall Aspect Ratio
Wide Aspect Ratio