--- language: - en pipeline_tag: unconditional-image-generation tags: - Diffusion Models - Stable Diffusion - Perturbed-Attention Guidance - PAG --- # Perturbed-Attention Guidance for SDXL
The original Perturbed-Attention Guidance for unconditional models and SD1.5 by [Hyoungwon Cho](https://huggingface.co/hyoungwoncho) is availiable at [hyoungwoncho/sd_perturbed_attention_guidance](https://huggingface.co/hyoungwoncho/sd_perturbed_attention_guidance) [Project](https://ku-cvlab.github.io/Perturbed-Attention-Guidance/) / [arXiv](https://arxiv.org/abs/2403.17377) / [GitHub](https://github.com/KU-CVLAB/Perturbed-Attention-Guidance) This repository is just a simple SDXL implementation of the Perturbed-Attention Guidance (PAG) on Stable Diffusion XL (SDXL) for the 🧨 diffusers library. ## Quickstart Loading Custom Pipeline: ```py from diffusers import StableDiffusionXLPipeline pipe = StableDiffusionXLPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", custom_pipeline="multimodalart/sdxl_perturbed_attention_guidance", torch_dtype=torch.float16 ) device="cuda" pipe = pipe.to(device) ``` Unconditional sampling with PAG: ![image/jpeg](uncond_generation_pag.jpg) ```py output = pipe( "", num_inference_steps=50, guidance_scale=0.0, pag_scale=5.0, pag_applied_layers=['mid'] ).images ``` Sampling with PAG and CFG: ![image/jpeg](cfgpag.jpg) ```py output = pipe( "the spirit of a tamagotchi wandering in the city of Vienna", num_inference_steps=25, guidance_scale=4.0, pag_scale=3.0, pag_applied_layers=['mid'] ).images ``` ## Parameters `guidance_scale` : guidance scale of CFG (ex: `7.5`) `pag_scale` : guidance scale of PAG (ex: `4.0`) `pag_applied_layers`: layer to apply perturbation (ex: ['mid']) `pag_applied_layers_index` : index of the layers to apply perturbation (ex: ['m0', 'm1']) ## Stable Diffusion XL Demo Soon