Add images
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@@ -29,7 +29,7 @@ All nodes are classified under the vid2vid category.
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## Nodes
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### LoadImageSequence
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<img alt="Local Image" src="images/nodes/LoadImageSequence.png" width="259" height="132"/>
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<img alt="Local Image" src="images/nodes/LoadImageSequence.png" width="518" height="264"/>
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Load image sequence from a folder.
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@@ -60,7 +60,7 @@ Load image sequence from a folder.
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---
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### LoadImageMaskSequence
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<img alt="Local Image" src="images/nodes/LoadImageMaskSequence.png" width="259" height="132"/>
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<img alt="Local Image" src="images/nodes/LoadImageMaskSequence.png" width="518" height="264"/>
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Load mask sequence from a folder.
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@@ -90,7 +90,7 @@ Load mask sequence from a folder.
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---
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### VAEEncodeForInpaintSequence
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<img alt="Local Image" src="images/nodes/VAEEncodeForInpaintSequence.png" width="259" height="132"/>
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<img alt="Local Image" src="images/nodes/VAEEncodeForInpaintSequence.png" width="518" height="264"/>
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Encode the input image sequence into a latent vector using a Variational Autoencoder (VAE) model. Also add image mask sequence to latent vector.
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@@ -113,7 +113,7 @@ Encode the input image sequence into a latent vector using a Variational Autoenc
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---
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### DdimInversionSequence
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<img alt="Local Image" src="images/nodes/DdimInversionSequence.png" width="259" height="132"/>
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<img alt="Local Image" src="images/nodes/DdimInversionSequence.png" width="518" height="264"/>
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Generate a specific noise vector by inverting the input latent vector using the Ddim model. Usually used to improve the time consistency of the output image sequence.
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@@ -137,7 +137,7 @@ Generate a specific noise vector by inverting the input latent vector using the
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---
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### SetLatentNoiseSequence
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<img alt="Local Image" src="images/nodes/SetLatentNoiseSequence.png" width="259" height="132"/>
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<img alt="Local Image" src="images/nodes/SetLatentNoiseSequence.png" width="518" height="264"/>
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Add noise vector to latent vector.
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@@ -157,7 +157,7 @@ Add noise vector to latent vector.
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---
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### CheckpointLoaderSimpleSequence
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<img alt="Local Image" src="images/nodes/CheckpointLoaderSimpleSequence.png" width="259" height="132"/>
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<img alt="Local Image" src="images/nodes/CheckpointLoaderSimpleSequence.png" width="518" height="264"/>
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Load the checkpoint model into UNet3DConditionModel. Usually used to generate a sequence of pictures with time continuity.
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@@ -180,13 +180,13 @@ Load the checkpoint model into UNet3DConditionModel. Usually used to generate a
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### LoraLoaderSequence
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<img alt="Local Image" src="images/nodes/LoraLoaderSequence.png" width="259" height="132"/>
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<img alt="Local Image" src="images/nodes/LoraLoaderSequence.png" width="518" height="264"/>
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Same function as `LoraLoader` node, but acts on UNet3DConditionModel. Used after the `CheckpointLoaderSimpleSequence` node and before the `TrainUnetSequence` node. The input and output of the model are both of `ORIGINAL_MODEL` type.
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---
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### TrainUnetSequence
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<img alt="Local Image" src="images/nodes/TrainUnetSequence.png" width="259" height="132"/>
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<img alt="Local Image" src="images/nodes/TrainUnetSequence.png" width="518" height="264"/>
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Fine-tune the incoming model using latent vector and context, and convert the model to inference mode.
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@@ -210,11 +210,11 @@ Fine-tune the incoming model using latent vector and context, and convert the mo
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---
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### KSamplerSequence
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<img alt="Local Image" src="images/nodes/KSamplerSequence.png" width="259" height="259"/>
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<img alt="Local Image" src="images/nodes/KSamplerSequence.png" width="518" height="518"/>
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Same function as `KSampler` node, but added support for noise vector and image mask sequence.
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---
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## Limits
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- UNet3DCoditionModel has high demand for GPU memory. If you encounter out of memory error, try to reduce `n_sample_frames`. However, `n_sample_frames` must be greater than or equal to 3.
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