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strkyyy/pixel-art-16bit
pixel-art-16bit is a text-to-image model from strkyyy. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as openrail++.
Retro 16-bit pixel art in the style of classic SNES-era games, featuring a crisp limited palette, clean dithering, chunky readable pixels, and nostalgic game-art composition.
Downloads · 30 days
127
39% of all-time downloads
All-time downloads
322
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.safetensors93.1 MB · 87%
From the Hugging Face model README
Retro 16-bit pixel art in the style of classic SNES-era games, featuring a crisp limited palette, clean dithering, chunky readable pixels, and nostalgic game-art composition.
Trigger: p1x3l16. Suggested strength: 0.85. Recommended sampler: Euler a or Euler a with noise reducer.
Adjust the strength to fine-tune the pixel art style. Use higher strengths for more pronounced retro game aesthetics.
p1x3l16 cyberpunk night cityscape with neon lights glowing in a futuristic urban scene
p1x3l16 hero warrior wielding sword and shield in a fantasy RPG game setting under moonlight
p1x3l16 cozy living room interior with fireplace and bookshelf, warm lighting for a nostalgic home
p1x3l16 space explorer landing on alien planet with strange flora, stars visible through the sky
p1x3l16 character portrait of an adventurer in leather armor, looking determined at dusk setting
p1x3l16 abstract geometric shapes and patterns in vibrant colors for a digital art poster design
Activate with p1x3l16. Recommended strength: 0.9.
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diffusersfrom diffusers import AutoPipelineForText2Image
import torch
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("strkyyy/pixel-art-16bit")
image = pipe("p1x3l16, your prompt", num_inference_steps=30).images[0]