---
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/dallinmackay/Van-Gogh-diffusion/resolve/main/preview1.jpg"
tags:
- stable-diffusion
- text-to-image
---
### Van Gogh Diffusion


This is a fine-tuned Stable Diffusion model (based on v1.5) trained on 60 paintings of Van Gogh. 

It is a mix of portraits and landscape.

Use the token **_vangh_** in your prompts to use the style (e.g., "vangh, beautiful woman at sunset").

--

**Character rendered with this model:**
![Character Samples](https://huggingface.co/hazwan/vg-session/resolve/main/output-man.png)
  _prompt and settings used: **vangh, man**

--

**Landscapes/miscellaneous rendered with this model:**
![Landscape Samples](https://huggingface.co/hazwan/vg-session/resolve/main/output-lake.png)
  _prompt and settings used: **vangh, landscape of lake, houses and mountains**

--

This model was trained with Dreambooth, using TheLastBen colab notebook
--
### 🧨 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 = "hazwan/vg-session"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "vangh, beautiful woman at sunset"
image = pipe(prompt).images[0]

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