File size: 2,755 Bytes
790b382
 
03b61da
 
 
 
790b382
03b61da
 
 
 
b1e6314
 
cabefb6
9d7ddf3
b1e6314
 
093269e
 
 
 
 
 
03b61da
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6b25f24
03b61da
 
 
b1e6314
03b61da
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- korean
---
**Korean-Stable-Diffusion-Disney**

This is the fine-tuned Stable Diffusion 1.5 model trained on screenshots from a popular animation studio.
Use the tokens **_modern disney style_** in your prompts for the effect.
  
**Note**
- Github: [KOrean-stable-diffusion-anything](https://github.com/KyujinHan/KO-stable-diffusion-anything)
- I use [Binsu's CLIP](https://huggingface.co/Bingsu/clip-vit-large-patch14-ko)  
  
  
**Example**
![example](./image1.png)
![example](./image2.png)
![example](./image3.png)
![example](./image4.png)

#### Prompt and settings for Lara Croft:
**modern disney lara croft**
_Steps: 50, Sampler: Euler a, CFG scale: 7, Seed: 3940025417, Size: 512x768_

#### Prompt and settings for the Lion:
**modern disney (baby lion) Negative prompt: person human**
_Steps: 50, Sampler: Euler a, CFG scale: 7, Seed: 1355059992, Size: 512x512_

This model was trained using the diffusers based dreambooth training by ShivamShrirao using prior-preservation loss and the _train-text-encoder_ flag in 9.000 steps.

### 🧨 Diffusers

This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).

You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().

```python
from diffusers import StableDiffusionPipeline
import torch

model_id = "kyujinpy/KO-stable-diffusion-disney"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "황금빛 머리카락의 마법 공주, 디즈니 스타일"
image = pipe(prompt).images[0]

image.save("./magical_princess.png")
```


## License

This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies: 

1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content 
2. 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
3. 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](https://huggingface.co/spaces/CompVis/stable-diffusion-license)