metadata

language:
  - en
pipeline_tag: unconditional-image-generation
tags:
  - Diffusion Models
  - Stable Diffusion
  - Perturbed-Attention Guidance
  - PAG

Perturbed-Attention Guidance

This repository is based on Diffusers. StableDiffusionPAGPipeline is a modification of StableDiffusionPipeline to support Perturbed-Attention Guidance (PAG).

Quickstart

Load StableDiffusionPAGPipeline as below:

from diffusers import StableDiffusionPipeline

pipe = StableDiffusionPipeline.from_pretrained(
    "runwayml/stable-diffusion-v1-5",
    custom_pipeline="hyoungwoncho/sd_perturbed_attention_guidance",
    torch_dtype=torch.float16,
    safety_checker=None
)

device="cuda"
pipe = pipe.to(device)

Sampling:

output = pipe(
        prompts,
        width=512,
        height=512,
        num_inference_steps=50,
        guidance_scale=0.0,
        pag_scale=5.0,
        pag_applied_layers_index=['m0']
    ).images

Parameters

pag_scale : gudiance scale of PAG (ex: 5.0)

pag_applied_layers_index = index of the layer to apply perturbation (ex: ['m0'])