pixelparty/pixel-party-xl

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.

[image]

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 or on Discord.

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

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.