Regional prompt workflow for XL Models

This is a combination of some workflow I'v used in the past or recently.

Most of the part from the regional prompt was originally on this workflow

Huge thx to @zml_w for all the testing and the help

I'v just found that Levpat might be banned or deleted account
Upscale Method for V2 by @LevPat
id="user-guide">USER GUIDE

id="for-v3-merged-workflow">For V3 Merged Workflow

Merged the two method into one workflow, you can now toggle between Dense Diffusion and Attention couple

Changed the detailer method, I'v kept Couple Face Detail group (for some image it's ok)
Now I'm mostly using a method from MGHerder
Found on this workflow

Added some settings to the Face detailer, I'v linked all the merged text prompt to the positive on the first two SEGS for each two characters, you can swicth between character (I couldn't find a good way to had wildcard or overwrite prompt on the SEGS detailer)


Added SeedVr2 upscale you will need to download the model and VAE for it to work
Added a more simple and lighter latent Upscale

I'v kept the Advanced latent upscale (was called Crazy Upscale before) linked all the text positive and negative prompt to it, converted to subgraph all the noodles

Kept the USDU upscale in some use it can be good too

Basically you have now 4 upscale method to choose with, you can delete the Upscale group you don't want it will not break the workflow.

You will need all the the custom nodes below that was used for V2 and all the following

(If you want to use it)
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FOR V2 Dense Diffusion and Attention Couple

I'v made two separate workflow with different Regional prompt method, both of them are in the archive if you want to try.

Dense Diffusion

So the error "The size of tensor a (924) must match the size of tensor b (308) at non-singleton dimension 3"

Is still here with Dense Diffusion BUT now I know 100% why it happens, so I will detail everythings how to avoid it.

First you can put almost everything in every positive prompt, a lot of detail or action for left char and almost nothing for 2nd character will not trigger this error.
The only way this error will pop is Positive VS Negative Prompt.

So why it happens then, almost exclusivly with Embedings, because of Tokens count and the way Dense Diffusion work, the size of Tokens need to be almost the same, and when you put emebeddings, like Lazyhand, Lazyneg, etc will use a lot of Tokens (more exactly tokens Chunks)

So how to avoid it, you can either not use emebeddings at all, I'v added note on the workflow with good (I think) quality prompt.

You can still use Embeddings but you wiil need to balance them between positive and Negative. So for example if you put Lazyhand + Lazyneg in Negative, you will need to use at least one or more embeddings in the positive quality to get the same size of Tokens chunks.

So because of that I'v added a custom nodes made by me (and GPT) to Normalize the negative quality, you can either turn it off or on, I'v put pics for comparaison in the archive.

If you'r not happy or don't like this method I'v made another Workflow with a different nodes called Attention couple.

Attention Couple

With Attention Couple this error will never pop, then why not using it and getting rid of Dense Diffusion ?
Attention couple work great and can have pretty good result, but in my testing I saw two major flaw with it.
First the Lora did not get applied the same way with it, Dense Diffusion seems to have a better blend for the model and loras.
Second the interaction seems more difficult too, I did not use it very extensively but the few image I'v made seems to have less prompt adherence.

Here is every nodes you will need for both

For Dense Diffusion

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A small custom node is in the archive for the Negative Normalization, just need to put it in custom nodes folder. No requirements needed.

For Attention Couple

Everythings above +
/> />If you have trouble with FAILED IMPORT for cgem156 you can try this fix
/>Worked for me with ComfyUI desktop App

Older Version

I'v added a chain sampler because I love this method, the render time and the result it gave.

This is quiet an advanced workflow so you will need a lot of custom nodes, some may not work with ComfyUI manager, I will link them here if you want to install manually.

Make sure you activate your venv environment for the requirements.txt for custom nodes.

There is a simplified version in the archive if you want to try without all the nodes for HiresFix, Face detailer, upscale and color match.

I'm not responsible if you break your ComfyUI install, some of the nodes may use different Pytorch version or requirements you already use.

style="color:rgb(250, 82, 82)"> style="color:rgb(250, 82, 82)">Deprecated version use this one instead, I'v fixed the workflow with the new one

V1 Multimask

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