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Shekswess/pixel-art-xl-neuron
pixel-art-xl-neuron is a text-to-image model from Shekswess. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
Downloads · 30 days
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13% of all-time downloads
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.neuron7.3 GB · 100%
From the Hugging Face model README

Downscale 8 times to get pixel perfect images (use Nearest Neighbors) Use a fixed VAE to avoid artifacts (0.9 or fp16 fix)
Use it with a LCM Lora!
Use 8 steps and guidance scale of 1.5 1.2 Lora strength for the Pixel Art XL works better
from diffusers import DPMSolverMultistepScheduler
from optimum.neuron import NeuronStableDiffusionXLPipeline
pipeline = NeuronStableDiffusionXLPipeline.from_pretrained("Shekswess/pixel-art-xl-neuron", device_ids=[0, 1])
pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config)
prompt = "pixel, a cute corgi"
negative_prompt = "3d render, realistic"
image = pipeline(prompt=prompt, negative_prompt=negative_prompt).images[0].save("output.png")
Don't use refiner
Works great with only 1 text encoder
No style prompt required
No trigger keyword require
Works great with isometric and non-isometric
Works with 0.9 and 1.0
v1: Initial release
BFloat16 (bf16) For Matrix Multiplication Operations.