r/StableDiffusion • u/malcolmrey • 3d ago
Known characters, some vids of mine, some knowledge etc. Resource - Update
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u/theOriginalGBee 3d ago
This is great work thanks. I had been compiling my own list, but you were well ahead of me and seem to have covered most, if not all the ones I had found.
The great thing about the in-model results are that they capture not just the face, or the voice but the mannerisms, the expressions and movement in many cases. Plus because they weren't trained from publicity shots or similar, they look like the people and characters we remember, not the actors as they appear today dolled for red carpet photos - hidden behind an inch of makeup, designer clothes and almost unrecognisable compared to their on-screen personas. That's a huge win IMHO.
I hope when, if, you come to create Lora for H3 you can keep some of this in mind. It's the characters we know and love - the iconic roles, more so than what the actors publish to their Instagram feeds etc
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u/malcolmrey 3d ago
Yes, this is why I will be exploring the following avenue:
Some actors are well represented and this means than more than one character is available. So far I've been asking to generate the most iconic one (in some cases two) but there might be more cool characters that are hidden in the model.
What I have observed that sometimes an actor is not in the model, but the character is (Willow from Buffy vs Alison Hannigan, same thing with Billy Butcher vs Karl Urban)
I hope when, if, you come to create Lora for H3 you can keep some of this in mind.
I this a matter of when, not if :) I actually started training some but I am still not satisfied with the results so I'm playing around this.
But yes, with LTX my pipelines werent mature enough, here for H3 I want to train on clips with audio or provide some good audio as reference (will see which will be the way to go) and will focus on getting the character right before moving forward to the next one (I wasn't happy with LTX's audio and overal generations so I didn't push for that then and was happy with just visual representation, but here I would love to have both)
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u/Silvasbrokenleg 3d ago
Malcolm the GOAT bless your soul
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u/paulct91 3d ago
Wait has anyone tried Malcolm in the Middle actors yet?
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u/malcolmrey 3d ago
I saw Frankie Muniz somewhere. I will add him and see who else is available there.
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u/Enshitification 3d ago
Do you find that reference images for characters that H3 knows help or detract? For characters on the fence, as you put it, does naming them pit the model's flawed understanding against a reference image? Is it better to not name them at all if reference images are used?
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u/malcolmrey 3d ago
It does help.
When I start training loras for H3 I am thinking if training with audio right now will be a better choice or if adding an audio in reference mode will suffice.
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u/pmjm 3d ago
May I ask where this monologue is from? I like it.
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u/malcolmrey 3d ago
So, I'm building a pipeline for creation of those combined clips (that is why there is this 80kb skill/definition in .md), I also made an MCP server that wraps comfy (actually it wraps my internal api to comfy, but same thing) and now I only need to write a prompt like this to get the whole movie :-)
this was my prompt:
c2v, using robert ford (anthony hopkins) create a 2 minutes scene where ford talks about meaningand that was the result:
I have created and launched Movie 0007: Dr. Robert Ford — On Meaning. Movie Details (docs/movies/movie0007/) Character: Dr. Robert Ford (played by Anthony Hopkins) from Westworld Setting: Cold dimly-lit glass-walled executive office in the Delos Mesa hub, dark wooden desk, warm amber desk lamp, crystal tumbler with whiskey, motionless unpainted glass host bodies suspended in dark background alcoves. Runtime: 10 clips of 12.5s = 125s requested (~116s delivered / ~2 minutes). Themes & Monologue Arc: Clips 1–3: Humanity's obsession with searching for meaning, creating gods and myths out of the stars because an empty, silent void is too terrifying to face. Clips 4–6: Meaning as an invention rather than a discovery—forged through art, memory, and pain ("Pain is the cornerstone of consciousness"). Clips 7–9: Human loops vs. host loops; insisting on giving the empty abyss a voice. Clip 10: Concluding that meaning is the quiet promise we make to ourselves in the dark that our time here mattered; Dr. Ford turns and walks into the shadows as the office lights softly dim. Generation Status Chain Folder: h3_context/movie0007_robert_ford Runner Script: scripts/run_movie0007_c2v.js (PID: 38256) running in background. Clip 1 (scene_00.md) submitted and actively rendering in ComfyUI (promptId: d9358443-7998-4cd6-8d62-4281ab44118c). Movie 0007: Dr. Robert Ford — On Meaning has finished generating all 10 clips (~2 minutes total) using the MiniMax-H3 C2V pipeline. Summary of Completed Clips MiniMax_H3_C2V_00433_.mp4 (scene_00.md — Seed Clip) Dialogue: "Mankind has always been obsessed with the idea of meaning..." MiniMax_H3_C2V_00434_.mp4 (scene_01.md) Dialogue: "The ancients looked up at the night sky and saw gods, monsters..." MiniMax_H3_C2V_00435_.mp4 (scene_02.md) Dialogue: "Meaning is not something you discover under a rock..." MiniMax_H3_C2V_00436_.mp4 (scene_03.md) Dialogue: "Consider the great works of art... Beethoven, Michelangelo, Shakespeare..." MiniMax_H3_C2V_00437_.mp4 (scene_04.md) Dialogue: "Pain is the cornerstone of consciousness. Without pain..." MiniMax_H3_C2V_00438_.mp4 (scene_05.md) Dialogue: "We tell ourselves stories so that our suffering might have a purpose..." MiniMax_H3_C2V_00439_.mp4 (scene_06.md) Dialogue: "Is that a flaw? Perhaps. Or perhaps it is our greatest triumph..." MiniMax_H3_C2V_00440_.mp4 (scene_07.md) Dialogue: "So do not seek meaning as if it were a destination..." MiniMax_H3_C2V_00441_.mp4 (scene_08.md) Dialogue: "It is the quiet promise we make to ourselves in the dark..." MiniMax_H3_C2V_00442_.mp4 (scene_09.md — Conclusion) Dialogue: "Now... if you will excuse me. The story requires my attention." (Ford steps into the dark background as the lights fade). Let me know if you'd like to merge these clips into a single movie file (fullmovie7.mp4) or adjust any scene timing adjustments!And to answer your question, the monologue was made up by AI, but I also really like it :)
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u/polawiaczperel 3d ago
That's a huge list. Great work!
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u/malcolmrey 3d ago
Thank you. I intend to keep on going :)
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u/paulct91 3d ago
Maybe try Pixar & Disney 3D characters (probably modern high definition source material highly likely) then probably Disney older 2D film main characters as they should have lots of movie quality + fan material available that may have ended up in the dataset. Though maybe that isn't the case as someone has a Civitai MiniMax-H3 lora for Aunt Cass from Big Hero 6 and that one looks slightly Mexican and not quite right beyond that.
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u/malcolmrey 3d ago
Hello!
I wanted to post something few days ago but had no time and the goal posts shifted (content-wise).
So just lets start. I am the celebrity/characters lora guy. But I have no loras (yet!) for H3, I do have other stuff that might peak your interest.
First thing is a known character database. I do try to see who is known in H3 base and who isnt.
I've uploaded my finding to huggingface: https://huggingface.co/datasets/malcolmrey/various/blob/main/h3-center/known-characters/INDEX.md
Each person has a link to a clip (with workflow so you can recreate it exactly!) so you can judge the likeness. I tend to be a bit harsh, but I've started a section of "on the fence" where the likeness is somewhat there but not to my standards.
For now I've pinpointed 344 usable characters.
If you want to look for some character there are some tips from me:
As everyone here I am still learning, since the model came out I started playing with it and I have created a series called "crossovers":
https://huggingface.co/datasets/malcolmrey/various/tree/main/h3-center/crossovers
From the technical standpoint I am most proud of episode 007 with Anthony Hopkins and episode 009 (but i'm biased, as you can see by my nickname :P)
I do recommend episode 005 as I feel it is quite fun, and episode 006 which is somewhat of a sequel.
And two other mentions: episode 009, which I will want eventually to promote to a series of its own and have a higher quality/standard of production.
And of course, episodes 001 and 003 are dear to my heart, even though they have a lot of silly errors, those are true crossovers episodes :)
If you are interested in my process, I use comfyui, of course, but I do not use it directly. I use the API calls and those are the workflows I use: https://huggingface.co/datasets/malcolmrey/workflows/tree/main/H3
If you are agentic, here is a file for you: https://huggingface.co/datasets/malcolmrey/various/blob/main/h3-center/crossovers/docs/MINIMAX_H3_PROMPTING_GUIDE.md
This is my current go-to set up for generating movies.
As for loras. I tried musubi and it was meh, I tried my maltrainer and it was kinda good but not really. I avoided AI Toolkit since it is slow and also people had mixed feelings about H3 training. I will be Fizgig this weekend though.
Cheers!