This is a tool for manipulating Latent data passed to VAE with ComfyUI and adjusting colors etc. It is also possible to adjust the RGB data output from VAE. This is compatible with 4ch latent, and is essentially for SD1.5 and SDXL (probably SD2.1 as well).<h3 id="ver.1.2">ver.1.2</h3>Simple support has been added for 16-channel format VAE.You can freely combine and use nodes under latent/viwer.Since the contents of most VAE channels are unclear, we have simply assigned four to each slider in order. Adding 16 sliders would be sufficient, but that would be too complicated, so we have used four. The channel configuration is unknown, but the element itself is broadly divided into four types, like sd1.5, and has been expanded from 4 channels to 16 channels.It is not determined which elements are contained in which channels, but it works as a whole. However, there are biases between channels, so you will need to target and manipulate them accordingly. The script makes it easy to change the assignment of channels and sliders.For most people, processing after image will likely be sufficient, but if you want to tinker with it at the latent stage, give it a try.<h3 id="ver.1.1">ver.1.1</h3>Some HSV functions did not work properly depending on the connection order. This is because HSV is not enabled unless it is the final stage. In the current version, SV shift is exclusive to other HSV functions. Therefore, I created ver.1.1, which consolidates HSV-related information in one place.●Image HSV AjudstThis is a node that summarizes HSV-related operations. Since the input is only Image, normal VAE outputOnly this node is located under Image &gt; Color.You can also select the order in which scale, shift, and gamma processing is performed.If you want to make the color richer, this node alone is sufficient. This node only requires image input, so it can also be used with other 16-component models such as Flux.1 and Qwen-image.For connections, you can freely place Latent nodes as you like, including using multiple nodes. It can be used alone. Connect the HSV type node to the final stage using Image, and connect it to preview, etc. It is also possible to use HSV alone.<h3 id="ver1.0">ver1.0</h3>Place latent_interactive_<a target="_blank" rel="ugc" href="http://viewer.py">viewer.py</a> in \ComfyUI\custom_nodes and restart ComfyUI.Three custom nodes are added under Add Node -&gt; latent -&gt; viewer.The 3 nodes can be used individually, but they can also be connected.The content of each channel of latent is different between SD1.5 and SDXL, but I think that once you get used to it, you will be able to use it in roughly the same way. The meaning is complicated, but the general meaning is as follows (according to ChatGPT research).●SD1.5Ch0 Basics of shapeCh1 Texture and detailsCh2 Brightness/Shadow etc.CH3 Color (Hue/Sat)●SDXLCh0 Contour etc.Ch1 Shape and internal detailsCh2 HueCH3 Saturation/lightnessHowever, since it is a neural network configuration, the distribution of features is ambiguous. Since it works as a whole, it's normal to mess up details when you think you're just playing around with the colors.Gamma is the gamma curve itself, and the S-shape is like a sigmoid function adjusted so that it becomes a straight line when the number is 1. I recommend using it sparingly with Latent.The shift value is simply added to the value.These can be used simply, or by combining nodes, you can do very complex things. When a shift value and an S-shape are combined, the shift in the center of the S-shape will be smaller than that specified by the shift value. If you combine them in multiple stages, you can create a complicated curved graph, but be careful about the parts that are clipped. Well, I think it's practically meaningless.If you set the output destination to the Save Image node, a save image will be created every time you make adjustments, so if you don't have a lot of storage space, I think it's a good idea to connect it to Preview Image and only connect the things you want to save to Save Image. In the sample workflow, it is muted (toggle with Ctrl-M).Note: The right side of the sample image is the normal VAE output

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