--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion - lora - diffusers - Neuron - Inferentia base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: pixel art widget: - text: pixel art, a cute corgi, simple, flat colors output: url: https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/SSOQ9lfB1PVhXVWJiL7Mx.jpeg - text: pixel art, native american goddes output: url: https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/tY19J3xWDlSY2hhTTHySc.jpeg --- # Pixel Art XL - Neuron ![F1hS8XHXwAQrMEW.jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/SSOQ9lfB1PVhXVWJiL7Mx.jpeg) ![F1hS489X0AE-PK5.jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/tY19J3xWDlSY2hhTTHySc.jpeg) Downscale 8 times to get pixel perfect images (use Nearest Neighbors) Use a fixed VAE to avoid artifacts (0.9 or fp16 fix) ### Need more performance? 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 ```python 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") ``` ### Tips: 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 #### Changelog v1: Initial release ## Support the creators further research on [Patreon](https://www.patreon.com/user?u=29466374) or [Twitter](https://twitter.com/nerijs) ## Original Model [Model](https://huggingface.co/nerijs/pixel-art-xl) ## Precision BFloat16 (bf16) For Matrix Multiplication Operations.