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Alright I’ve been afraid to ask but have been having trouble finding What are some adult entertainment workflows in comfyui, I need best loras, best prompts to

Alright I’ve been afraid to ask but have been having trouble finding What are some adult entertainment workflows in comfyui, I need best loras, best prompts to start with and the communities, are they on telegram or something?

bahmboo 2mo ago
This is a healthy question. We want to use these tools for regular old human needs and desires.
Havoc 2mo ago
There will Reddit subs for it though couldn’t tell you which off top of my head I’d personally steer clear of messaging platforms for this - who knows what one might stumble into there
- embedding-shape 2mo ago
  > I’d personally steer clear of messaging platforms for this - who knows what one might stumble into there Personally I have no interest, but sometime browse stuff out of curiosity. But this got more of my curiosity, what kind of "stuff" are you implying they might stumble upon on the open, public internet? Sure, some NSFW, horror and otherwise weird stuff is there, especially around AI generation, but hardly something that will leave you traumatized, unless I misunderstand what you're implying?
  - Havoc 2mo ago
    I do not know and very much plan to keep it that way
  - Nekit1234007 2mo ago
    One thing I read on this topic on reddit is never EVER use the word "girl" when prompting H3. So CSAM probably.
    - embedding-shape 2mo ago
      Did you try this yourself? Of course you wouldn't, because not wanting to produce SCAM sorry I meant CSAM. And no, including the word "girl" in H3 does not lead to CSAM in any way, shape or form, but it's a great example how FUD quickly spreads.
      - Nekit1234007 2mo ago
        I don't have hardware to runs this, so no, I didn't. One thing that I had experience with, that led me to believe this might be true: it seems one of the earlier llama models was over-tuned to resist generating CSAM. Once I tried a somewhat sensitive prompt containing the word "girl" in it. Llama only ever generated refusals for this prompt, citing I was prompting for CSAM. GPTs and Claudes of that era had no issues with the same prompt.
    - dragonwriter 2mo ago
      Avoiding use of “girl” when you aren’t asking for a feminine child is good advice for any model that isn't specifically trained on a specialized prompting vocabulary (e.g., danbooru tags) where “girl” has a different meaning. But I haven't seen anything reliable about H3 being particularly special in ther regard.
    - yieldcrv 2mo ago
      are these still 2026 problems? a simple vector index would associate girl as a synonym for adult woman as is used by both men and women in the English lexicon even a Chinese model that thinks its Claude when asked would have inherited this association
pferdone 2mo ago
a friend told me there's a reddit called: unstable diffusion
antirez 2mo ago
H3 is quite uncensored, but was not trained on p0rn, so it has no anatomy clues needed to generate that kind of stuff. For softer adult content it is reported to be fine on Reddit.
- yieldcrv 2mo ago
  loras have been fixing that for years
  - dragonwriter 2mo ago
    Other than for pure t2v usage you probably don't need a LoRA for much, I have seen evidence that it is knowledgeable enough that it can handle a fair amount of anatomy looking and behaving reasonably with just relevant cues in control (for the fl2va model) or reference (for the r2va model) images. And the r2va model can also use video input for motion reference.
dragonwriter 2mo ago
While you will find plenty of people willing to scam you to pay for “adult entertainment workflows”, the built in templates in ComfyUI for the model—perhaps dropping in a Lora Loader node for the a Turbo lora for speed—handle running the model, the subject matter adaptation isn’t really a workflow issue but one of reference/control images/audio/videos and prompting. For Minimax H3, more than most models, you should read (and, if you are using an LLM for prompt assistance, make it sure it has access to) the official prompt guidelines, as each of the main models (fl2va that handles text-to-video and first- and/or last-frame-to-video and r2va that handles more complex reference cases) has its own structured prompt format (with many common features).

bahmboo 2mo ago

This is a healthy question. We want to use these tools for regular old human needs and desires.

Havoc 2mo ago

There will Reddit subs for it though couldn’t tell you which off top of my head I’d personally steer clear of messaging platforms for this - who knows what one might stumble into there

embedding-shape 2mo ago
> I’d personally steer clear of messaging platforms for this - who knows what one might stumble into there Personally I have no interest, but sometime browse stuff out of curiosity. But this got more of my curiosity, what kind of "stuff" are you implying they might stumble upon on the open, public internet? Sure, some NSFW, horror and otherwise weird stuff is there, especially around AI generation, but hardly something that will leave you traumatized, unless I misunderstand what you're implying?
- Havoc 2mo ago
  I do not know and very much plan to keep it that way
- Nekit1234007 2mo ago
  One thing I read on this topic on reddit is never EVER use the word "girl" when prompting H3. So CSAM probably.
  - embedding-shape 2mo ago
    Did you try this yourself? Of course you wouldn't, because not wanting to produce SCAM sorry I meant CSAM. And no, including the word "girl" in H3 does not lead to CSAM in any way, shape or form, but it's a great example how FUD quickly spreads.
    - Nekit1234007 2mo ago
      I don't have hardware to runs this, so no, I didn't. One thing that I had experience with, that led me to believe this might be true: it seems one of the earlier llama models was over-tuned to resist generating CSAM. Once I tried a somewhat sensitive prompt containing the word "girl" in it. Llama only ever generated refusals for this prompt, citing I was prompting for CSAM. GPTs and Claudes of that era had no issues with the same prompt.
  - dragonwriter 2mo ago
    Avoiding use of “girl” when you aren’t asking for a feminine child is good advice for any model that isn't specifically trained on a specialized prompting vocabulary (e.g., danbooru tags) where “girl” has a different meaning. But I haven't seen anything reliable about H3 being particularly special in ther regard.
  - yieldcrv 2mo ago
    are these still 2026 problems? a simple vector index would associate girl as a synonym for adult woman as is used by both men and women in the English lexicon even a Chinese model that thinks its Claude when asked would have inherited this association

pferdone 2mo ago

a friend told me there's a reddit called: unstable diffusion

antirez 2mo ago

H3 is quite uncensored, but was not trained on p0rn, so it has no anatomy clues needed to generate that kind of stuff. For softer adult content it is reported to be fine on Reddit.

yieldcrv 2mo ago
loras have been fixing that for years
- dragonwriter 2mo ago
  Other than for pure t2v usage you probably don't need a LoRA for much, I have seen evidence that it is knowledgeable enough that it can handle a fair amount of anatomy looking and behaving reasonably with just relevant cues in control (for the fl2va model) or reference (for the r2va model) images. And the r2va model can also use video input for motion reference.

dragonwriter 2mo ago

While you will find plenty of people willing to scam you to pay for “adult entertainment workflows”, the built in templates in ComfyUI for the model—perhaps dropping in a Lora Loader node for the a Turbo lora for speed—handle running the model, the subject matter adaptation isn’t really a workflow issue but one of reference/control images/audio/videos and prompting. For Minimax H3, more than most models, you should read (and, if you are using an LLM for prompt assistance, make it sure it has access to) the official prompt guidelines, as each of the main models (fl2va that handles text-to-video and first- and/or last-frame-to-video and r2va that handles more complex reference cases) has its own structured prompt format (with many common features).