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--- |
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license: creativeml-openrail-m |
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tags: |
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- text-to-image |
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- stable-diffusion |
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- lora |
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- diffusers |
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- Neuron |
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- Inferentia |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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instance_prompt: pixel art |
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widget: |
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- text: pixel art, a cute corgi, simple, flat colors |
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output: |
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url: https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/SSOQ9lfB1PVhXVWJiL7Mx.jpeg |
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- text: pixel art, native american goddes |
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output: |
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url: https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/tY19J3xWDlSY2hhTTHySc.jpeg |
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--- |
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# Pixel Art XL - Neuron |
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Downscale 8 times to get pixel perfect images (use Nearest Neighbors) |
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Use a fixed VAE to avoid artifacts (0.9 or fp16 fix) |
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### Need more performance? |
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Use it with a LCM Lora! |
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Use 8 steps and guidance scale of 1.5 |
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1.2 Lora strength for the Pixel Art XL works better |
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```python |
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from diffusers import DPMSolverMultistepScheduler |
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from optimum.neuron import NeuronStableDiffusionXLPipeline |
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pipeline = NeuronStableDiffusionXLPipeline.from_pretrained("Shekswess/pixel-art-xl-neuron", device_ids=[0, 1]) |
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pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config) |
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prompt = "pixel, a cute corgi" |
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negative_prompt = "3d render, realistic" |
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image = pipeline(prompt=prompt, negative_prompt=negative_prompt).images[0].save("output.png") |
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``` |
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### Tips: |
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Don't use refiner |
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Works great with only 1 text encoder |
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No style prompt required |
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No trigger keyword require |
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Works great with isometric and non-isometric |
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Works with 0.9 and 1.0 |
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#### Changelog |
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v1: Initial release |
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## Support the creators further research on [Patreon](https://www.patreon.com/user?u=29466374) or [Twitter](https://twitter.com/nerijs) |
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## Original Model |
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[Model](https://huggingface.co/nerijs/pixel-art-xl) |
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## Precision |
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BFloat16 (bf16) |
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For Matrix Multiplication Operations. |
