README.md

---
license: creativeml-openrail-m
tags:
  - text-to-image
  - stable-diffusion
  - diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: . in pixel art style
widget:
  - text: cute dragon. in pixel art style
---

# Pixel Party XL

This is a full model training for better pixel art adherence based on SDXL. Feel free to use this model for your own projects, but please do not host it.

![examples](images/examples.gif)

We are building on tools for indie game development and currently have tools for:

- Map tiles
- Movement animations
- Attack animations
- Inpainting
- Character reshaping
- Animation interpolation

And have much more planned! :D

If you want to support us or check out our other pixel art models, you can find us here [PixelLab](https://www.pixellab.ai) or on [Discord](https://discord.gg/pBeyTBF8T7).

## How to use

- Append ". in pixel art style" to your prompt. E.g. "cute dragon. in pixel art style"
- Downsize the image 8x using nearest neighbor
- Init images are very helpful
- Model works best at around 128x128 canvas size but still excels at creating smaller items/characters/other
- Use a VAE with fixed fp16 support: https://huggingface.co/madebyollin/sdxl-vae-fp16-fix
- Do not use refiner

### Diffusers

```python
from diffusers import DiffusionPipeline, UNet2DConditionModel
import torch

pipe = DiffusionPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16,
    unet=UNet2DConditionModel.from_pretrained("pixelparty/pixel-party-xl", torch_dtype=torch.float16),
    use_safetensors=True,
    variant="fp16",
)
pipe.to("cuda")

torch.manual_seed(11215)
prompt = "cute dragon. in pixel art style"
negative_prompt = "mixels. amateur. multiple"

image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=25).images[0]
```

## License

Please do not host this model. It is otherwise licensed under CreativeML-OpenRail-M.