Note

This is WIP.

Major changes were made. Please make sure to update your workflows. An updated workflow can be found in the workflows directory.

Implements the very basics of Visual Style Prompting by Naver AI.

Getting Started

Clone the repository into your custom_nodes folder, and you'll see Apply Visual Style Prompting node. It should be placed between your sampler and inputs like the example image. This has currently only been tested with 1.5 based models.

reference_image: The image you wish to reference,
positive: The positive prompt to use as conditioning.
reference_cond: The prompt that describes the reference.
enabled: Enables or disables the effect. Note that this node will still be hooked even after disabling unless you remove it.
denoise: Works the same way Img2Img works, but utilized with reference and / or init images (this is experimental).
input_blocks: Focuses attention on the encoder layers.
middle_block: Focuses attention on the middle layers.
output_blocks: Focuses attention on the decoder layers.

Note

positive and reference_cond must have equal amount of chunks. Mismatch will cause RuntimeError: Sizes of tensors must match except in dimension 0.

Tip

In order to get the best results (matching legacy functionality), you must use the same prompt for positive and reference_cond.

The example workflow uses the following for both conds:

orange fox, origami, deep colors, shading, canon 60d.

Notes

Currently, this method utilized the VAE Encode & Inpaint method as it needs to iteralively denoise on each step. Due to how this method works, you'll always get two outputs. To remove the reference latent from the output, simple use a Batch Index Select node.
For legacy functionality, please pull this PR.