Initial commit
This commit is contained in:
Budi Hartono
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# Auto detect text files and perform LF normalization
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* text=auto
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+160
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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MIT License
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Copyright (c) 2025 Budi Hartono
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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# comfyui-aspect-ratio-presets
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Custom ComfyUI nodes for generating empty latent tensors with preset and axis-based aspect ratios.
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# aspect_ratio_nodes.py
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import numpy as np
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import modules.scripts as scripts
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from modules import shared
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from modules.ui import create_node, create_node_callbacks
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from presets import PRESETS
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def _validate_dim(v):
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if v <= 0:
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raise ValueError("Dimension must be > 0")
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if v % 8 != 0:
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raise ValueError("Dimension must be divisible by 8")
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class EmptyLatentAspectPreset(scripts.Script):
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title = "Empty Latent (Aspect Ratio Preset)"
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ui_category = "ComfyUI Aspect Ratio Preset"
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def ui(self):
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self.resolution = self.ui.dropdown(
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label="Resolution Preset",
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choices=[f"{m} {w}×{h} ({lbl})" for m, lbl, w, h in PRESETS],
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default=0,
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tooltip="Choose a predefined resolution + aspect ratio"
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)
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self.batch_size = self.ui.int_field(
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label="Batch Size",
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default=1,
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minimum=1,
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tooltip="How many blank latents to produce"
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)
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def run(self, p):
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model, lbl, W, H = PRESETS[self.resolution]
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_validate_dim(W); _validate_dim(H)
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B = self.batch_size
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C = shared.sd_model.cond_stage_model.latent_channels # usually 4
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shape = (B, C, H // 8, W // 8)
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return np.zeros(shape, dtype=np.float32)
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class EmptyLatentAspectByAxis(scripts.Script):
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title = "Empty Latent (Aspect Ratio by Axis)"
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ui_category = "ComfyUI Aspect Ratio Preset"
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ASPECT_CHOICES = [
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("1:1 Square", (1,1)),
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("3:2 Landscape", (3,2)),
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("2:3 Portrait", (2,3)),
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("4:3 Landscape", (4,3)),
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("3:4 Portrait", (3,4)),
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("16:9 Landscape", (16,9)),
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("9:16 Portrait", (9,16)),
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("5:4 Landscape", (5,4)),
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("4:5 Portrait", (4,5)),
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("21:9 Widescreen", (21,9)),
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("9:21 Portrait", (9,21)),
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("7:5 Landscape", (7,5)),
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("5:7 Portrait", (5,7)),
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]
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def ui(self):
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self.primary = self.ui.int_field(
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label="Primary Dimension",
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default=512,
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tooltip="Your value for the chosen Reference Axis"
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)
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self.axis = self.ui.dropdown(
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label="Reference Axis",
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choices=["Width","Height"],
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default="Width",
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tooltip="Which side does the Primary Dimension refer to?"
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)
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self.aspect = self.ui.dropdown(
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label="Aspect Ratio",
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choices=[lbl for lbl,_ in self.ASPECT_CHOICES],
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default=0,
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tooltip="Select X:Y ratio and orientation"
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)
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self.batch_size = self.ui.int_field(
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label="Batch Size",
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default=1,
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minimum=1,
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tooltip="How many blank latents to produce"
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)
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def run(self, p):
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val = self.primary
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_validate_dim(val)
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w_ratio, h_ratio = self.ASPECT_CHOICES[self.aspect][1]
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if self.axis == "Width":
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W = val
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H = round(val * (h_ratio / w_ratio))
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else:
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H = val
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W = round(val * (w_ratio / h_ratio))
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_validate_dim(W); _validate_dim(H)
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B = self.batch_size
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C = shared.sd_model.cond_stage_model.latent_channels
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shape = (B, C, H // 8, W // 8)
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return np.zeros(shape, dtype=np.float32)
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+27
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# presets.py
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PRESETS = [
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# model, label, w, h
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("SD 1.5", "1:1 Square", 512, 512),
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("SD 1.5", "3:2 Landscape", 768, 512),
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("SD 1.5", "4:3 Landscape", 768, 576),
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("SD 1.5", "16:9 Landscape",912, 512),
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("SD 1.5", "2:3 Portrait", 512, 768),
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("SD 1.5", "3:4 Portrait", 576, 768),
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("SD 1.5", "9:16 Portrait", 512, 912),
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("SDXL", "1:1 Square", 1024,1024),
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("SDXL", "3:2 Landscape", 1152,768),
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("SDXL", "4:3 Landscape", 1152,864),
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("SDXL", "16:9 Landscape",1360,768),
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("SDXL", "2:3 Portrait", 768,1152),
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("SDXL", "3:4 Portrait", 864,1152),
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("SDXL", "9:16 Portrait", 768,1360),
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("Flux/HiD","3:2 Landscape", 1216,832),
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("Flux/HiD","2:3 Portrait", 832,1216),
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("Flux/HiD","1:1 Square", 1408,1408),
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("Flux/HiD","4:3 Landscape", 1664,1216),
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("Flux/HiD","16:9 Landscape",1920,1088),
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("Flux/HiD","9:21 Portrait", 960,2176),
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("HiDream", "1:1 Square", 1280,1280),
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("HiDream", "1:1 Square", 1536,1536),
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]
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@@ -0,0 +1 @@
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numpy
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Reference in New Issue
Block a user