Perturbed-Attention Guidance (#7512)

* pag_initial

* pag_docs

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* make style

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

examples/community/README.md

@@ -3743,3 +3743,80 @@ onestep_image = pipe(prompt, num_inference_steps=1).images[0]
 # Multistep sampling
 multistep_image = pipe(prompt, num_inference_steps=4).images[0]
 ```
+
+# 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 implementation is based on [Diffusers](https://huggingface.co/docs/diffusers/index). StableDiffusionPAGPipeline is a modification of StableDiffusionPipeline to support Perturbed-Attention Guidance (PAG).
+
+## Example Usage
+
+```
+import os
+import torch
+
+from accelerate.utils import set_seed
+
+from diffusers import StableDiffusionPipeline
+from diffusers.utils import load_image, make_image_grid
+from diffusers.utils.torch_utils import randn_tensor
+
+pipe = StableDiffusionPipeline.from_pretrained(
+    "runwayml/stable-diffusion-v1-5",
+    custom_pipeline="hyoungwoncho/sd_perturbed_attention_guidance",
+    torch_dtype=torch.float16
+)
+
+device="cuda"
+pipe = pipe.to(device)
+
+pag_scale = 5.0
+pag_applied_layers_index = ['m0']
+
+batch_size = 4
+seed=10
+
+base_dir = "./results/"
+grid_dir = base_dir + "/pag" + str(pag_scale) + "/"
+
+if not os.path.exists(grid_dir):
+    os.makedirs(grid_dir)
+
+set_seed(seed)
+
+latent_input = randn_tensor(shape=(batch_size,4,64,64),generator=None, device=device, dtype=torch.float16)
+
+output_baseline = pipe(
+    "",
+    width=512,
+    height=512,
+    num_inference_steps=50,
+    guidance_scale=0.0,
+    pag_scale=0.0,
+    pag_applied_layers_index=pag_applied_layers_index,
+    num_images_per_prompt=batch_size,
+    latents=latent_input
+).images
+
+output_pag = pipe(
+    "",
+    width=512,
+    height=512,
+    num_inference_steps=50,
+    guidance_scale=0.0,
+    pag_scale=5.0,
+    pag_applied_layers_index=pag_applied_layers_index,
+    num_images_per_prompt=batch_size,
+    latents=latent_input
+).images
+
+grid_image = make_image_grid(output_baseline + output_pag, rows=2, cols=batch_size)
+grid_image.save(grid_dir + "sample.png")
+```
+
+## PAG Parameters
+
+pag_scale : gudiance scale of PAG (ex: 5.0)
+
+pag_applied_layers_index : index of the layer to apply perturbation (ex: ['m0'])