Duplicate from AttendAndExcite/Attend-and-Excite

Co-authored-by: hysts <[email protected]>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

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+gradio_cached_examples/
+
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
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+lib/
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+share/python-wheels/
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+.installed.cfg
+*.egg
+MANIFEST
+
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+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
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+
+# Django stuff:
+*.log
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+db.sqlite3-journal
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+# Flask stuff:
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+.scrapy
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+# Sphinx documentation
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+# PyBuilder
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+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+# For a library or package, you might want to ignore these files since the code is
+# intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+# However, in case of collaboration, if having platform-specific dependencies or dependencies
+# having no cross-platform support, pipenv may install dependencies that don't work, or not
+# install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+# This is especially recommended for binary packages to ensure reproducibility, and is more
+# commonly ignored for libraries.
+# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+# in version control.
+# https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
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+*.sage.py
+
+# Environments
+.env
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+.ropeproject
+
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+/site
+
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+.dmypy.json
+dmypy.json
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+.pyre/
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+.pytype/
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+cython_debug/
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+# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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+#.idea/

.gitmodules

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+[submodule "Attend-and-Excite"]
+ path = Attend-and-Excite
+ url = https://github.com/AttendAndExcite/Attend-and-Excite

.pre-commit-config.yaml

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+exclude: patch
+repos:
+- repo: https://github.com/pre-commit/pre-commit-hooks
+ rev: v4.2.0
+ hooks:
+ - id: check-executables-have-shebangs
+ - id: check-json
+ - id: check-merge-conflict
+ - id: check-shebang-scripts-are-executable
+ - id: check-toml
+ - id: check-yaml
+ - id: double-quote-string-fixer
+ - id: end-of-file-fixer
+ - id: mixed-line-ending
+ args: ['--fix=lf']
+ - id: requirements-txt-fixer
+ - id: trailing-whitespace
+- repo: https://github.com/myint/docformatter
+ rev: v1.4
+ hooks:
+ - id: docformatter
+ args: ['--in-place']
+- repo: https://github.com/pycqa/isort
+ rev: 5.12.0
+ hooks:
+ - id: isort
+- repo: https://github.com/pre-commit/mirrors-mypy
+ rev: v0.991
+ hooks:
+ - id: mypy
+ args: ['--ignore-missing-imports']
+ additional_dependencies: ['types-python-slugify']
+- repo: https://github.com/google/yapf
+ rev: v0.32.0
+ hooks:
+ - id: yapf
+ args: ['--parallel', '--in-place']

.style.yapf

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+[style]
+based_on_style = pep8
+blank_line_before_nested_class_or_def = false
+spaces_before_comment = 2
+split_before_logical_operator = true

Attend-and-Excite

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+Subproject commit 1b67cfc19cd3952e390dbb8047ccd126471567f2

README.md

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+---
+title: Attend And Excite
+emoji: 💻
+colorFrom: gray
+colorTo: pink
+sdk: gradio
+sdk_version: 3.17.0
+python_version: 3.10.9
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: AttendAndExcite/Attend-and-Excite
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import gradio as gr
+import PIL.Image
+
+from model import Model
+
+DESCRIPTION = '''# Attend-and-Excite
+This is a demo for [Attend-and-Excite](https://arxiv.org/abs/2301.13826).
+Attend-and-Excite performs attention-based generative semantic guidance to mitigate subject neglect in Stable Diffusion. 
+Select a prompt and a set of indices matching the subjects you wish to strengthen (the `Check token indices` cell can help map between a word and its index).
+'''
+
+model = Model()
+
+
+def process_example(
+ prompt: str,
+ indices_to_alter_str: str,
+ seed: int,
+ apply_attend_and_excite: bool,
+) -> tuple[list[tuple[int, str]], PIL.Image.Image]:
+ model_id = 'CompVis/stable-diffusion-v1-4'
+ num_steps = 50
+ guidance_scale = 7.5
+ return model.run(model_id, prompt, indices_to_alter_str, seed,
+ apply_attend_and_excite, num_steps, guidance_scale)
+
+
+with gr.Blocks(css='style.css') as demo:
+ gr.Markdown(DESCRIPTION)
+
+ with gr.Row():
+ with gr.Column():
+ model_id = gr.Text(label='Model ID',
+ value='CompVis/stable-diffusion-v1-4',
+ visible=False)
+ prompt = gr.Text(
+ label='Prompt',
+ max_lines=1,
+ placeholder=
+ 'A pod of dolphins leaping out of the water in an ocean with a ship on the background'
+ )
+ with gr.Accordion(label='Check token indices', open=False):
+ show_token_indices_button = gr.Button('Show token indices')
+ token_indices_table = gr.Dataframe(label='Token indices',
+ headers=['Index', 'Token'],
+ col_count=2)
+ token_indices_str = gr.Text(
+ label=
+ 'Token indices (a comma-separated list indices of the tokens you wish to alter)',
+ max_lines=1,
+ placeholder='4,16')
+ seed = gr.Slider(label='Seed',
+ minimum=0,
+ maximum=100000,
+ value=0,
+ step=1)
+ apply_attend_and_excite = gr.Checkbox(
+ label='Apply Attend-and-Excite', value=True)
+ num_steps = gr.Slider(label='Number of steps',
+ minimum=0,
+ maximum=100,
+ step=1,
+ value=50)
+ guidance_scale = gr.Slider(label='CFG scale',
+ minimum=0,
+ maximum=50,
+ step=0.1,
+ value=7.5)
+ run_button = gr.Button('Generate')
+ with gr.Column():
+ result = gr.Image(label='Result')
+
+ with gr.Row():
+ examples = [
+ [
+ 'A mouse and a red car',
+ '2,6',
+ 2098,
+ True,
+ ],
+ [
+ 'A mouse and a red car',
+ '2,6',
+ 2098,
+ False,
+ ],
+ [
+ 'A horse and a dog',
+ '2,5',
+ 123,
+ True,
+ ],
+ [
+ 'A horse and a dog',
+ '2,5',
+ 123,
+ False,
+ ],
+ [
+ 'A painting of an elephant with glasses',
+ '5,7',
+ 123,
+ True,
+ ],
+ [
+ 'A painting of an elephant with glasses',
+ '5,7',
+ 123,
+ False,
+ ],
+ [
+ 'A playful kitten chasing a butterfly in a wildflower meadow',
+ '3,6,10',
+ 123,
+ True,
+ ],
+ [
+ 'A playful kitten chasing a butterfly in a wildflower meadow',
+ '3,6,10',
+ 123,
+ False,
+ ],
+ [
+ 'A grizzly bear catching a salmon in a crystal clear river surrounded by a forest',
+ '2,6,15',
+ 123,
+ True,
+ ],
+ [
+ 'A grizzly bear catching a salmon in a crystal clear river surrounded by a forest',
+ '2,6,15',
+ 123,
+ False,
+ ],
+ [
+ 'A pod of dolphins leaping out of the water in an ocean with a ship on the background',
+ '4,16',
+ 123,
+ True,
+ ],
+ [
+ 'A pod of dolphins leaping out of the water in an ocean with a ship on the background',
+ '4,16',
+ 123,
+ False,
+ ],
+ ]
+ gr.Examples(examples=examples,
+ inputs=[
+ prompt,
+ token_indices_str,
+ seed,
+ apply_attend_and_excite,
+ ],
+ outputs=[
+ token_indices_table,
+ result,
+ ],
+ fn=process_example,
+ cache_examples=True,
+ examples_per_page=20)
+
+ show_token_indices_button.click(fn=model.get_token_table,
+ inputs=[
+ model_id,
+ prompt,
+ ],
+ outputs=token_indices_table)
+
+ inputs = [
+ model_id,
+ prompt,
+ token_indices_str,
+ seed,
+ apply_attend_and_excite,
+ num_steps,
+ guidance_scale,
+ ]
+ outputs = [
+ token_indices_table,
+ result,
+ ]
+ prompt.submit(fn=model.run, inputs=inputs, outputs=outputs)
+ token_indices_str.submit(fn=model.run, inputs=inputs, outputs=outputs)
+ run_button.click(fn=model.run, inputs=inputs, outputs=outputs)
+
+demo.queue(max_size=50).launch(share=False)

model.py

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+from __future__ import annotations
+
+import sys
+
+import gradio as gr
+import PIL.Image
+import torch
+
+sys.path.append('Attend-and-Excite')
+
+from config import RunConfig
+from pipeline_attend_and_excite import AttendAndExcitePipeline
+from run import run_on_prompt
+from utils.ptp_utils import AttentionStore
+
+
+class Model:
+ def __init__(self):
+ self.device = torch.device(
+ 'cuda:0' if torch.cuda.is_available() else 'cpu')
+ self.model_id = ''
+ self.model = None
+ self.tokenizer = None
+
+ self.load_model('CompVis/stable-diffusion-v1-4')
+
+ def load_model(self, model_id: str) -> None:
+ if model_id == self.model_id:
+ return
+ self.model = AttendAndExcitePipeline.from_pretrained(model_id).to(
+ self.device)
+ self.tokenizer = self.model.tokenizer
+ self.model_id = model_id
+
+ def get_token_table(self, model_id: str, prompt: str):
+ self.load_model(model_id)
+ tokens = [
+ self.tokenizer.decode(t)
+ for t in self.tokenizer(prompt)['input_ids']
+ ]
+ tokens = tokens[1:-1]
+ return list(enumerate(tokens, start=1))
+
+ def run(
+ self,
+ model_id: str,
+ prompt: str,
+ indices_to_alter_str: str,
+ seed: int,
+ apply_attend_and_excite: bool,
+ num_steps: int,
+ guidance_scale: float,
+ scale_factor: int = 20,
+ thresholds: dict[int, float] = {
+ 10: 0.5,
+ 20: 0.8
+ },
+ max_iter_to_alter: int = 25,
+ ) -> tuple[list[tuple[int, str]], PIL.Image.Image]:
+ generator = torch.Generator(device=self.device).manual_seed(seed)
+ try:
+ indices_to_alter = list(map(int, indices_to_alter_str.split(',')))
+ except:
+ raise gr.Error('Invalid token indices.')
+
+ self.load_model(model_id)
+
+ token_table = self.get_token_table(model_id, prompt)
+
+ controller = AttentionStore()
+ config = RunConfig(prompt=prompt,
+ n_inference_steps=num_steps,
+ guidance_scale=guidance_scale,
+ run_standard_sd=not apply_attend_and_excite,
+ scale_factor=scale_factor,
+ thresholds=thresholds,
+ max_iter_to_alter=max_iter_to_alter)
+ image = run_on_prompt(model=self.model,
+ prompt=[prompt],
+ controller=controller,
+ token_indices=indices_to_alter,
+ seed=generator,
+ config=config)
+
+ return token_table, image

requirements.txt

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+diffusers==0.3.0
+ftfy==6.1.1
+jupyter
+opencv-python-headless==4.7.0.68
+pyrallis==0.3.1
+torch==1.13.1
+transformers==4.23.1

style.css

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+h1 {
+ text-align: center;
+}