MoP Mixes are a series of checkpoints that merge the MoP (Mixture of Perverts) model with one other model that I find interesting. These are completely separate from the normal MoP releases because those are a much more complicated merge that requires a lot of testing. MoP Mixes are much simpler to produce with the goal of creating a MoP variation that hopefully some people may find useful or just fun.
To be clear, these MoP mixes should in no way be considered better than or a replacement for the checkpoint being merged with MoP. I strongly encourage you to download and test out the checkpoint for yourself and use it in the way that its author intended.
While these checkpoints will most likely all be DMD-enabled, the recommended settings for each mix may be different so check the About This Version section for all the details. Also, there are a couple of ComfyUI workflows specifically for these mixes so I strongly recommend starting with that and then tailoring it to your needs.
Note: If you want to convert any of these DMD checkpoints to a non-DMD checkpoint then all you need to do is add the DMD LoRA and set the strength to a negative value. I would start with -0.85 and adjust from there. That will allow you to use a higher CFG and different samplers than LCM.
Fooocus Setup Instructions
1) Click the Advanced checkbox.
2) On the Settings tab, leave the Preset as 'initial' and the Performance as 'Speed'.
3) On the Models tab, set both the Base and Refiner models to MoP.
4) Change the Refiner Switch At setting to anywhere from 0.75 to 0.90. I like 0.85.
5) On the Advanced tab, change the Guidance Scale to 1.
6) Change the Positive ADM Guidance Scaler to 1.
7) Change the Sampler to 'lcm'. You can leave the Scheduler as Karras or Exponential.
8) Set the Forced Overwrite of Sampling Step to 7 to 11. I like 9.
Description
Note: This BigASP High/Low model may only work in ComfyUI. It requires a special workflow that I'm not sure other image generation tools are capable of.
This MoP Mix is a bit different because it uses two different model formulations of MoP v6.1 and BigASP v2.5, similar to how WAN 2.2 works. The High model is used to create the initial structure of the image whereas the Low model is used to provide the finishing details.
In my experience, this combination results in an image generation that is more stable, predictable and detailed. However, it probably also lessens some of the amazing creativity that BigASP v2.5 offers. Therefore, I strongly recommend that you also try Big ASP v2.5 in all it's glory, without my bastardization. I even have a workflow for it.
I also have another model that uses BigASP v2.5, imaginatively called LittleASP, if you're interested in that.
Unlike the other MoP Mixes, this is not a 100% DMD model. The low model uses DMD but the high model doesn't. The recommended settings are:
Total Steps: 25-35 (18+ on high, 7+ on low)
High CFG: 3.5-5.5
Low CFG: 1.0
High Sampler: Euler
Low Sampler: LCM
Scheduler: Beta (very important that both high and low use the same scheduler)
ModelSamplingSD3 shift: 1.0-2.0 (you may start seeing artifacts above 2.0)