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# Add By Mask | ||
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<deflist type="narrow"> | ||
<def title="Full Name"> | ||
AlphaChannelAddByMask | ||
</def> | ||
<def title="Description"> | ||
Getting alpha channels as mask and adding it to images. | ||
</def> | ||
<def title="Backend"> | ||
<a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
</def> | ||
<def title="Input Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Image)"> | ||
RGB images | ||
</def> | ||
<def title="Mask (Type: Mask)"> | ||
Alpha Channel | ||
</def> | ||
<def title="Method (Type: Enum)"> | ||
<list> | ||
<li><control>Default</control> — Standard channel addition.</li> | ||
<li><control>Invert</control> — The channel is changed to opposite values before being added.</li> | ||
</list> | ||
</def> | ||
</deflist> | ||
</def> | ||
<def title="Output Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Image)"> | ||
RGBA images | ||
</def> | ||
</deflist> | ||
</def> | ||
</deflist> |
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# Add | ||
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<deflist type="narrow"> | ||
<def title="Full Name"> | ||
AlphaChannelAdd | ||
</def> | ||
<def title="Description"> | ||
Creates an empty alpha channels and adding it to images. | ||
Some nodes work better if the image is initially RGBA, for example <a href="Image-Transform-Rotate.md"/>. | ||
</def> | ||
<def title="Backend"> | ||
<a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
</def> | ||
<def title="Input Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Image)"> | ||
RGB images | ||
</def> | ||
</deflist> | ||
</def> | ||
<def title="Output Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Image)"> | ||
RGBA images | ||
</def> | ||
</deflist> | ||
</def> | ||
</deflist> |
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# As Mask | ||
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<deflist type="narrow"> | ||
<def title="Full Name"> | ||
AlphaChannelAsMask | ||
</def> | ||
<def title="Description"> | ||
Copying alpha channels from images and return it. | ||
</def> | ||
<def title="Backend"> | ||
<a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
</def> | ||
<def title="Input Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Image)"> | ||
RGBA images | ||
</def> | ||
<def title="Method (Type: Enum)"> | ||
<list> | ||
<li><control>Default</control> — Standard channel addition.</li> | ||
<li><control>Invert</control> — The channel is changed to opposite values before being returned.</li> | ||
</list> | ||
</def> | ||
</deflist> | ||
</def> | ||
<def title="Output Parameters"> | ||
<deflist type="full"> | ||
<def title="Mask (Type: Mask)"> | ||
Alpha Channel | ||
</def> | ||
</deflist> | ||
</def> | ||
</deflist> |
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# Remove | ||
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<deflist type="narrow"> | ||
<def title="Full Name"> | ||
AlphaChannelRestore | ||
</def> | ||
<def title="Description"> | ||
Removing the alpha channel from images. | ||
</def> | ||
<def title="Backend"> | ||
<a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
</def> | ||
<def title="Input Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Image)"> | ||
RGBA images | ||
</def> | ||
</deflist> | ||
</def> | ||
<def title="Output Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Mask)"> | ||
RGB images | ||
</def> | ||
</deflist> | ||
</def> | ||
</deflist> |
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# Restore | ||
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<deflist type="narrow"> | ||
<def title="Full Name"> | ||
AlphaChannelRestore | ||
</def> | ||
<def title="Description"> | ||
Returns the alpha channel to the standard maximum values. | ||
</def> | ||
<def title="Backend"> | ||
<a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
</def> | ||
<def title="Input Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Image)"> | ||
RGBA images | ||
</def> | ||
</deflist> | ||
</def> | ||
<def title="Output Parameters"> | ||
<deflist type="full"> | ||
<def title="Images (Type: Mask)"> | ||
RGBA images | ||
</def> | ||
</deflist> | ||
</def> | ||
</deflist> |
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# Alpha Chanel | ||
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![alpha_chanel](alpha_chanel.png){ border-effect="rounded" width="706" } | ||
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### Add | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
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### Add By Mask | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
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### As Mask | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
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### Restore | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> | ||
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### Remove | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a> |
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# Clamp | ||
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![clamp](clamp.png){ border-effect="rounded" width="706" } | ||
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### Clip | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Clip Vision | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Clip Vision Output | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Conditioning | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### ControlNet | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Gligen | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Image | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Latent | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Mask | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Model | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Style Model | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Upscale Model | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Vae | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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# Absolute | ||
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<deflist type="narrow"> | ||
<def title="Full Name"> | ||
Full name of the node | ||
</def> | ||
<def title="Description"> | ||
Description of the node | ||
</def> | ||
<def title="Backend"> | ||
Description of the node backend | ||
</def> | ||
<def title="Input Parameters"> | ||
Description of the node backend | ||
<deflist type="narrow"> | ||
<def title="Parameter Name 1 (Type: Image)"> | ||
Description of parameter 1 | ||
</def> | ||
<def title="Parameter Name 2 (Type: String)"> | ||
Description of parameter 2 | ||
</def> | ||
<def title="Parameter Name 3 (Type: Enum)"> | ||
Description of parameter 3 | ||
<list> | ||
<li>Value 1 - Description of value 1</li> | ||
<li>Value 2 - Description of value 2</li> | ||
<li>Value 3 - Description of value 3</li> | ||
</list> | ||
</def> | ||
</deflist> | ||
</def> | ||
<def title="Output Parameters"> | ||
Description of the node backend | ||
<deflist type="narrow"> | ||
<def title="Parameter Name 1 (Type: Image)"> | ||
Description of parameter 1 | ||
</def> | ||
<def title="Parameter Name 2 (Type: Mask)"> | ||
Description of parameter 2 | ||
</def> | ||
</deflist> | ||
</def> | ||
</deflist> |
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# Image Composite | ||
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![image_composite](image_composite.png) { border-effect="rounded" width="706" } | ||
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### Absolute | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Absolute By Container | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Relative | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. | ||
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### Relative By Container | ||
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Text | ||
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**Backend**: <a href="Modules.md" anchor="pytorch" summary="Image processing with pure Tensor without transformations.">PyTorch</a>. |
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