### a Better model is out, Go to https://huggingface.co/no3/kat-at3-beta1
### kat from [Flipon](https://store.steampowered.com/app/1285020/Flipon/) on [WD](https://huggingface.co/hakurei/waifu-diffusion) via Dreambooth
#### model by no3
This your waifu-diffusion v1.4 model fine-tuned kat concept taught to waifu-diffusion v1.4 with Dreambooth.
It can be used by modifying the `instance_prompt`: **sks kaatt**

You can also train your own concepts and upload them to the library by using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb).
And you can run your new concept via `diffusers`: [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb), [Spaces with the Public Concepts loaded](https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts).
### note
If you want to to use in UI like [AUTOMATIC1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui) or any UI that's uses .ckpt files just download one or more file from here for your convenience.

[katFl-wd-1.4-beta2.ckpt](https://huggingface.co/no3/kat-wd-1.4-beta2/resolve/main/katFl-wd-1.4-beta2.ckpt) 5.16 GB

[katFl-wd-1.4-beta2-pruned.ckpt](https://huggingface.co/no3/kat-wd-1.4-beta2/resolve/main/katFl-wd-1.4-beta2-pruned.ckpt) 2.58 GB Uses less storage space, but untested yet


If you have issues or questions feel free to visit the Community Tab and start discussion about it.


Here are images used for training this concept:
![image 1](https://huggingface.co/no3/kat-wd-1.4-beta2/resolve/main/concept_images/1.png)
![image 2](https://huggingface.co/no3/kat-wd-1.4-beta2/resolve/main/concept_images/2.png)
![image 3](https://huggingface.co/no3/kat-wd-1.4-beta2/resolve/main/concept_images/3.png)
![image 4](https://huggingface.co/no3/kat-wd-1.4-beta2/resolve/main/concept_images/1%20c.png)
![image 5](https://huggingface.co/no3/kat-wd-1.4-beta2/resolve/main/concept_images/2%20c.png)
{"license": "creativeml-openrail-m", "pipeline_tag": "text-to-image"}
diffusers text-to-image license:creativeml-openrail-m endpoints_compatible diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 

### a Better model is out, Go to URL
### kat from Flipon on WD via Dreambooth
#### model by no3
This your waifu-diffusion v1.4 model fine-tuned kat concept taught to waifu-diffusion v1.4 with Dreambooth.
It can be used by modifying the 'instance_prompt': sks kaatt

You can also train your own concepts and upload them to the library by using this notebook.
And you can run your new concept via 'diffusers': Colab Notebook for Inference, Spaces with the Public Concepts loaded.
### note
If you want to to use in UI like AUTOMATIC1111 or any UI that's uses .ckpt files just download one or more file from here for your convenience.

URL 5.16 GB

URL 2.58 GB Uses less storage space, but untested yet


If you have issues or questions feel free to visit the Community Tab and start discussion about it.


Here are images used for training this concept:
!image 1
!image 2
!image 3
!image 4
!image 5
### a Better model is out, Go to URL ### kat from Flipon on WD via Dreambooth #### model by no3
This your waifu-diffusion v1.4 model fine-tuned kat concept taught to waifu-diffusion v1.4 with Dreambooth.
It can be used by modifying the 'instance_prompt': sks kaatt

You can also train your own concepts and upload them to the library by using this notebook.
And you can run your new concept via 'diffusers': Colab Notebook for Inference, Spaces with the Public Concepts loaded. ### note
If you want to to use in UI like AUTOMATIC1111 or any UI that's uses .ckpt files just download one or more file from here for your convenience.

URL 5.16 GB

URL 2.58 GB Uses less storage space, but untested yet


If you have issues or questions feel free to visit the Community Tab and start discussion about it.


Here are images used for training this concept:
!image 1
!image 2
!image 3
!image 4
!image 5
TAGS
#diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
 ### a Better model is out, Go to URL ### kat from Flipon on WD via Dreambooth #### model by no3
This your waifu-diffusion v1.4 model fine-tuned kat concept taught to waifu-diffusion v1.4 with Dreambooth.
It can be used by modifying the 'instance_prompt': sks kaatt

You can also train your own concepts and upload them to the library by using this notebook.
And you can run your new concept via 'diffusers': Colab Notebook for Inference, Spaces with the Public Concepts loaded. ### note
If you want to to use in UI like AUTOMATIC1111 or any UI that's uses .ckpt files just download one or more file from here for your convenience.

URL 5.16 GB

URL 2.58 GB Uses less storage space, but untested yet


If you have issues or questions feel free to visit the Community Tab and start discussion about it.


Here are images used for training this concept:
!image 1
!image 2
!image 3
!image 4
!image 5
TAGS
#diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
### a Better model is out, Go to URL### kat from Flipon on WD via Dreambooth#### model by no3
This your waifu-diffusion v1.4 model fine-tuned kat concept taught to waifu-diffusion v1.4 with Dreambooth.
It can be used by modifying the 'instance_prompt': sks kaatt

You can also train your own concepts and upload them to the library by using this notebook.
And you can run your new concept via 'diffusers': Colab Notebook for Inference, Spaces with the Public Concepts loaded.### note
If you want to to use in UI like AUTOMATIC1111 or any UI that's uses .ckpt files just download one or more file from here for your convenience.

URL 5.16 GB

URL 2.58 GB Uses less storage space, but untested yet


If you have issues or questions feel free to visit the Community Tab and start discussion about it.


Here are images used for training this concept:
!image 1
!image 2
!image 3
!image 4
!image 5