File size: 2,732 Bytes
860871b 74001fb a1d8b25 74001fb a1d8b25 74001fb a1d8b25 74001fb a1d8b25 03b34e3 274a318 28d44b5 a1d8b25 |
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 |
---
license: creativeml-openrail-m
---
**Mo Di Diffusion**
This is the fine-tuned Stable Diffusion model trained on screenshots from the modern age Disney movies.
Use the tokens **_modern disney style_** in your prompts for the effect.
If you enjoy this model, please check out my other models on [Huggingface](https://huggingface.co/nitrosocke)
**Videogame Characters rendered with the model:**
![Videogame Samples](https://huggingface.co/nitrosocke/mo-di-diffusion/resolve/main/modern-disfusion-samples-01s.jpg)
**Animal Characters rendered with the model:**
![Animal Samples](https://huggingface.co/nitrosocke/mo-di-diffusion/resolve/main/modern-disfusion-samples-02s.jpg)
**Cars and Landscapes rendered with the model:**
![Misc. Samples](https://huggingface.co/nitrosocke/mo-di-diffusion/resolve/main/modern-disfusion-samples-03s.jpg)
### 🧨 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 = "nitrosocke/mo-di-diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "a magical princess with golden hair, modern disney style"
image = pipe(prompt).images[0]
image.save("./magical_princess.png")
```
# Gradio & Colab
We also support a [Gradio](https://github.com/gradio-app/gradio) Web UI and Colab with Diffusers to run fine-tuned Stable Diffusion models:
[![Open In Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](https://huggingface.co/spaces/anzorq/finetuned_diffusion)
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1j5YvfMZoGdDGdj3O3xRU1m4ujKYsElZO?usp=sharing)
#### 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 Simba:
**modern disney (baby simba) 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 and prior-preservation loss in 9.000 steps and using the _train-text-encoder_ feature. |