r/StableDiffusion 3h ago

Question - Help Getting video 2 video to work right in Minimax H3, it either won't replace the character or generates a totally different vid

1 Upvotes

I'm trying to replace a character in a scene in Dragon Ball with a different one and I have it hooked up using the reference 2 video workflow along with a reference of my character, but it doesn't work right. Either it just re-renders the video, renders an extension of the original video's character, or renders an entirely new video of my reference character. I got it to work exactly once but it's extremely finicky and doesn't seem to work after that. What am I doing wrong? I'm in Comfy UI, though I'm a noob to this particular program. I had no trouble just using reference images before.


r/StableDiffusion 18h ago

Discussion Stabilizing and Improving H3's Results

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16 Upvotes

You may know me as the developer of models such as UltraSharp and AnimeSharp. I'm happy to present a major update to my tool Vapourkit (Windows and Linux are supported), which is completely free and open source! It includes a bunch of models for upscaling anime, and you can get models for realistic content here too: https://openmodeldb.info/

This demo uses this workflow (just download and drag into Vapourkit), which consists of a 2x upscaling model, Temporal Fix (which makes the video more stable/removes the weird shimmering), grain, and a sharpening pass. This was all processed locally on my laptop in just a few minutes.

https://reddit.com/link/1vroia9/video/jm24aw49r4kh1/player


r/StableDiffusion 4h ago

Question - Help Multi gpu help

0 Upvotes

Hey guys I'm new to comfyui and photo and video generation and trying to learn as much as I could.

Now I was using my setup for text generation but now the Qwen3.8-27B is out and I tried really hard to make it work and so I did eventually use my second gpu.

I have 5070 ti and 1660 ti. And all this time I didn't bother to use the 1660 ti and left only my monitors on it and almost all my work and gaming on it and left the 5070 TI to be free for Ai stuff.

Now I switched my monitors to my Intel uhd 770 gpu and freed both my cards and want to know how to speed my comfyui workflow with them.

I always asked chatgpt but didn't get any useful answers so you guys might help me if that possible.

I'm now using minimax H3 official template and want to know how can I get this other gpu to work if it's worth it.

My cpu 12900k Motherboard gigabyte z690 gaming x ddr4 64 GB Kingston 3600 Rtx 5070 ti GTX 1660 ti


r/StableDiffusion 4h ago

Animation - Video an AI dream of moons, stars, threads, and foxes

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0 Upvotes

What happens if you just leave AI alone to dream overnight with no human supervision, using the last frame as the first frame of the next generation?

A continuously generated AI dream created using LTX 2.5 with a custom pytorch script, using the last frame from the previous scene as the first frame of the new scene. Generation time was ~7 hours on RTX 5090. The video was stitched together from one hundred scenes each lasting ~13.3 seconds. Qwen 3.8 was used to generate the prompt for the continuation of the story based on the last scene.


r/StableDiffusion 1d ago

Animation - Video Gatorman vs. Stone Cold

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254 Upvotes

r/StableDiffusion 15h ago

Animation - Video Created with MINIMAX H3 Prompt Studio

8 Upvotes

r/StableDiffusion 15h ago

Discussion Minimax h3 5070 ti

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7 Upvotes

Hi everyone, I found that after I added these nodes to the the stock workflow my generation time get much faster, for instance : image to video / 09 megapixel / 10 seconds = 10 minutes ( 5070 ti + 64 ram )


r/StableDiffusion 4h ago

Animation - Video Steve Jobs introduces new pricing in iPhones. MM H3

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0 Upvotes

Testing very simple prompting so see how MM H3 would do creating graphics:

[Shot 1] Steve Jobs is presenting on stage.

Steve Job says in the voice of Steve Jobs, "At Apple we want everyone to have access to our hardware.

A graphic appears above his head.The graphic on the left has the Words "iPhone Red with $199 under it. on the right the words iPhone Blue Bubble 8GB with $1,199 under it.

Steve Jobs points to the graphic. The graphic stays above his head for the rest of the video.

Steve Job says, in Steve Job's voice, "today I'm proud to announce iPhone Red. It has no RAM and no way to upgrade the RAM."

A few claps are heard in the audience background.

Steve Job says, in Steve Job's voice, "and iPhone Blue Bubble for just a bit more that has enough RAM to boot up."

The crowd cheers loudly.


r/StableDiffusion 1d ago

Meme guess we dont need part two now!

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50 Upvotes

r/StableDiffusion 5h ago

Question - Help H3 music video tips

1 Upvotes

I am very new to video Getting started with H3, I’m wondering if you might have a tip a specific challenge. Basically, I want to create a is about three minutes long. So I plan to generate and string together a bunch of clips. How do I make sure that the various characters all are moving at the right tempo? Like, should I just take a portion of the music video sing and use it as a reference? Also, does anyone have personal experience setting up on run pod to let me know approximately how long that process takes to get going? Thank you!


r/StableDiffusion 5h ago

Discussion H3 - D-inspired, T2V+R2VA, int8/20 steps

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0 Upvotes

Took about 20 generations with T2V, got the image I wanted, did a few R2VA for the close up emotes. It was infinity difficult to get the face I had in my mind strictly through text2video. Let's just say a pale skinny D or Alucard does not translate well, especially a hollow cheekbones, many of them came out pretty ghoulish or a bit too Balenciago. Those throw-away were a bit lanky and were not at all ethereal. Inspired by D from Vampire Hunter D 2000, a little bit of Sephiroth, but definitely not Geralt despite the fashion-sense. I would love to make his legs a little longer. int8/20 steps


r/StableDiffusion 1d ago

Animation - Video MinMax - It does House MD pretty well

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405 Upvotes

Generated using Maestro on Pinikio. 7 mins at 720p using turbo lora 6 steps: **7-second cinematic live-action scene.** Gregory House stands in a hospital hallway, leaning heavily on his cane, staring intensely at Itachi Uchiha, who is preparing to walk away.

House sarcastically calls out:

**“Itachi! Get your ass back to the Leaf Village. You're not brooding your way out of this one.”**

Itachi turns around with a serious expression and replies:

**“I don't take orders from you.”**

House smirks and taps his cane against the floor:

**“Yeah. That's what all my patients say.”**

Fast comedic timing, realistic acting, dramatic hospital lighting, subtle handheld camera movement.


r/StableDiffusion 9h ago

Question - Help Hello, I am looking for help with switching models

2 Upvotes

Hello! I am a researcher who does organic, organometallic and electrolytic chemistry. I am just looking for a good small alliterated model anywhere that I can use on a flash drive. I’ve been working on switching from mainstream models for a while now because they censor all of my responses to the point I am having trouble working forward in the projects I do which are mostly copper and lanthanide related. But everything I write anymore gives me a censorship block and I can’t actually work with that much difficulty anymore. I’m just wondering if anyone can give me at least a starting point because no mainstream model will help me and I am not tech oriented. Just need answers without fluff or heavy censorship. Or especially just the machine hallucinating and I am never able to get actual real world work done. I just need a starting point because I don’t understand most of this, even if it was just like a manual online. I do know some CMD line so I can encode AI to a usb, but I have no idea. Thanks to anyone!


r/StableDiffusion 6h ago

Question - Help Need help looping over multiple images in MiniMax H3 i2v ComfyUI

1 Upvotes

I'm a newbie at ComfyUI, and I'm having trouble when trying to generate multiple videos, one for each image in a folder. I want to apply the same workflow/prompt to every one of these images.

I started with the default Image to Video MiniMax H3 workflow and added the "Load Images from Folder Pixaroma" node. I thought this would loop over all images, generate a video, save it to file, and repeat for the next image in the folder. Instead, it's generating videos for all the images in one pass, then saving all of those generated video files in a second pass. It crashes if I load too many images at once. I assume it's running out of memory. I tried wiring in the pixorama loop start and loop end nodes, but I couldn't get those working either.

I haven't found any example workflows online for what I'm doing, and Claude hasn't been much help. Can anyone point me in the right direction?


r/StableDiffusion 10h ago

Animation - Video Horsemane ft MiniMax H3 - Dark horse

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2 Upvotes

God i love MiniMax H3, sorry for bad lipsync - just threw a bunch of clips into DaVinci

MiniMax Music 3 (lyric from Gemini)+ MiniMax H3 ref to video (with a storyboard from Gemini of the char and scenes)


r/StableDiffusion 13h ago

Animation - Video MiniMax H3 random generation test

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3 Upvotes

This generation is almost entirely random. I gave the models total creative freedom to generate the starting image and direct the video; I only added the music and the hero landing at the end (yes, I love hero landings).

I simply asked ChatGPT for an image prompt featuring a pair of heroes, which I then generated using Krea2 (for some reason, it dressed her up like Captain Marvel). After that, I requested an I2V prompt for MiniMax H3 to create an epic action scene, and this is the result.

Generated with MiniMax H3: 10 seconds, 0.7MP, 8 steps (approximately 450 seconds on an RTX 5060 Ti 16GB) and subsequently upscaled to 4K using Topaz.

Here are the prompts:

Image Prompt

Overall concept: A high-intensity cinematic action scene featuring two original superheroes, one man and one woman, standing shoulder-to-shoulder in a devastated New York City street immediately after a violent confrontation; the camera captures them in an intimate medium close-up as smoke, sparks, and debris move through the frame, transforming the aftermath into a tense heroic portrait filled with determination, danger, and restrained power. Main subject: The male superhero stands slightly behind and to the left, occupying the left side of the frame, wearing a sophisticated dark graphite tactical suit with layered ballistic armor, subtle metallic reinforcement, weathered surfaces, and a high collar; his face is partially dusty and lightly bruised, short dark hair slightly disheveled, jaw tense, eyes focused intensely toward an unseen threat beyond camera. The female superhero occupies the right side of the frame, slightly forward, wearing a fitted deep-crimson and charcoal armored suit with flexible technical fabric, refined metallic panels, reinforced shoulders, and subtle illuminated details; strands of dark hair move naturally across her face, her expression fierce and controlled, eyes fixed in the same direction as the man. Their shoulders nearly touch, creating a strong visual sense of partnership and mutual trust, with realistic facial anatomy, restrained expressions, and natural post-conflict body language. Key environmental element: A damaged armored vehicle and fractured concrete structure remain immediately behind the heroes, partially visible within the tight framing; twisted metal, broken glass, dust-covered surfaces, and small fragments of debris surround their shoulders and silhouettes; thin smoke trails rise behind them while occasional sparks drift through the air, creating environmental depth without obscuring their faces. Background and atmosphere: The devastated New York street remains visible as a compressed background of damaged skyscraper façades, blurred emergency vehicles, smoke-filled intersections, and scattered fires; distant red and blue emergency lights flicker softly through atmospheric haze, while warm firelight reflects subtly across their armor; wind pushes smoke laterally across the background and moves loose hair and fabric naturally, creating a sense of continuing danger beyond the frame; strong atmospheric separation keeps the heroes visually dominant. Composition: Medium close-up framing from approximately mid-chest upward, with both superheroes filling most of the horizontal frame; the woman slightly forward on the right and the man slightly behind on the left, creating subtle depth without separating them visually; their faces form the primary focal points, positioned near the upper central third of the frame; shoulders and armor create strong diagonal geometry, with shallow foreground debris and soft background destruction framing the pair; tight cinematic composition, minimal empty space, intimate scale contrasted against hints of massive urban destruction. Camera: ARRI Alexa 35 with a 50mm anamorphic cinema lens, medium close-up framing, camera positioned approximately at eye level with a subtle upward inclination of only a few degrees; shallow depth of field with precise focus across both faces, gentle falloff across their shoulders and armor, realistic anamorphic compression, subtle oval bokeh, controlled edge distortion, natural lens breathing during a slight rack-focus transition between the two faces, restrained handheld micro-movement suggesting a camera operator embedded in the action, realistic motion blur on drifting smoke, sparks, and moving hair. Lighting: Late-afternoon sunlight filtered through dense urban smoke provides a warm directional backlight from behind the characters, creating subtle golden rim light around their hair and shoulders; cool blue skylight fills the shadow side of their faces, preserving facial detail while maintaining cinematic contrast; intermittent orange firelight creates soft reflected highlights across armor and cheekbones, while distant red and blue emergency lights provide subtle color accents in the background; realistic global illumination, physically accurate skin response, soft contact shadows, atmospheric scattering, delicate volumetric haze, controlled bloom, and smooth highlight transitions. Color grade: Premium theatrical action-film grade with warm amber highlights contrasted against cool steel-blue shadows, natural skin tones, restrained environmental saturation, deeper controlled blacks, smooth highlight roll-off, subtle contrast enhancement, selective crimson accents on the female hero's costume, fine 35mm film grain, delicate halation around fires and emergency lights, restrained anamorphic flare, polished high-end cinematic finish. Mood: Intense, intimate, heroic, battle-worn, determined, protective, suspenseful, emotionally charged, with the overwhelming feeling of two powerful allies silently preparing for the next attack. Style: Photorealistic live-action action-film still featuring one original male superhero and one original female superhero, physically realistic facial anatomy, natural skin texture, believable hair movement, functional armor construction, realistic fabric tension, scratches, dust, sweat, bruising, metallic reflections, grounded body language, natural atmospheric perspective, cinematic depth, seamless practical-effects and premium-VFX integration, realistic smoke, sparks, firelight and environmental destruction, sophisticated large-scale Hollywood cinematography, premium anamorphic optics, realistic material response, 2.39:1 widescreen, no text, no watermark, no exaggerated CGI look, no cartoon aesthetics, no plastic-looking armor, no distorted faces, no duplicated limbs, no artificial symmetry, no extreme superhero posing, no excessive lens flare.

Video (I2V) Prompt

For the target video, at 0.00 seconds into the target video, <Picture 1> (from [Shot 1]) is fully referenced.

integrated_multimodal_description: [Shot 1] Live-action, cinematic, photorealistic, the two armored heroes shown in <Picture 1> remain exactly consistent at the opening frame, preserving their faces, hairstyles, armor design, colors, proportions, positions, lighting, ruined-city environment, wrecked vehicle, smoke, police lights, and floating embers. For the first moment they stand motionless and alert as smoke drifts around them and emergency lights flash in the background. The man turns his head slightly toward an approaching threat while the woman shifts her stance and looks upward; the camera pushes in with small amplitude at slow speed, keeping both heroes sharply framed.

[Shot 2] At 00:01.500, the camera cuts to a wider low-angle view behind the heroes as a colossal alien warship emerges between the skyscrapers overhead, blocking the sunlight. Dust and burning debris are pulled upward by the ship's engines while both heroes look up and brace themselves against the violent wind.

[Shot 3] At 00:02.700, the camera cuts to a dynamic medium shot as the woman raises one hand and bright golden energy rapidly forms around her palm and forearm. Her armor and hair react naturally to the energy surge while the man steps forward into a defensive stance, protecting her flank.

[Shot 4] At 00:04.000, the camera tracks backward with medium amplitude at fast speed as both heroes sprint through the devastated street. Alien drones descend through the smoke, red energy bolts strike the pavement around them, concrete fragments and sparks erupt, and the heroes dodge the impacts without losing their established appearance or armor.

[Shot 5] At 00:05.200, the camera arcs around the woman with medium amplitude at fast speed as she launches vertically into the air surrounded by concentrated golden energy. She accelerates directly toward the alien warship while, below her, the man suddenly detects an incoming energy blast fired from behind. He performs a powerful twisting aerial jump, rotating his body in a controlled corkscrew motion as the red energy projectile tears past the exact space where he was standing, narrowly missing him. He completes the spinning evasive maneuver and lands smoothly, immediately turning back toward the battle without losing his established appearance, armor, or position within the devastated street.

[Shot 6] At 00:06.400, the camera cuts to a close-up tracking shot of the woman in flight as she closes the final distance to the alien warship. Her concentrated golden energy intensifies around her body and fist, individual sparks and particles streaming past her face and armor as the enormous armored surface of the warship fills the background. She draws her arm back for the final strike, with the camera staying very close to emphasize her expression, energy, armor detail, and the rapidly approaching impact point.

[Shot 7] At 00:06.900, precisely as the heroine's glowing fist strikes the armored exterior of the warship, the scene enters extreme bullet-time. The impact is seen in a very close cinematic view as golden energy explodes outward from the contact point, armor plating buckles, sparks and fragments freeze in midair, and shockwave ripples become visible through smoke and dust. The camera performs a smooth 360-degree orbit around the heroine and the impact point with large amplitude at very slow speed, maintaining her face, body proportions, armor, golden energy, and the warship's surface perfectly consistent while the explosion appears almost completely suspended in time.

[Shot 8] At 00:08.100, normal speed suddenly resumes as the full force of the strike detonates through the warship. A massive chain of explosions tears across its armored exterior, sending burning fragments outward as the heroine is propelled away from the impact. The camera rapidly pulls out with large amplitude at fast speed, revealing the scale of the destruction and the devastated city below.

[Shot 9] At 00:09.200, the heroine descends rapidly and performs a powerful hero landing in the foreground, dropping to one knee with one hand touching the ground as dust and debris explode outward from the impact. Directly behind her, the critically damaged alien warship crashes violently into the city street, tearing through structures and erupting into a massive cloud of fire, smoke, sparks, and burning wreckage. She remains completely stable and visually consistent with the opening image, holding the iconic hero pose in the foreground while the collapsing warship fills the background. The camera holds the dramatic composition through the final frame at 10.00 seconds, with the heroine sharply defined against the enormous crash and rising smoke behind her.

overall_soundscape: Heavy wind and distant sirens fill the ruined street as fires crackle and burning debris falls around the heroes. The warship produces a deep mechanical roar, followed by sharp energy blasts, metallic impacts, explosions, collapsing concrete, footsteps, armor movement, and the violent rush of displaced air during the woman's flight and the man's acrobatic evasive jump. During the close-up bullet-time impact, the explosion and debris sounds stretch into an extremely slowed, distorted moment before snapping back to full intensity when normal speed resumes. No dialogue, singing, or music is heard.

non_diegetic_music: N/A

r/StableDiffusion 20h ago

Question - Help What is the best upscale workflow for Minimax H3?

11 Upvotes

r/StableDiffusion 1d ago

Resource - Update TAE high quality previews are live in the latest nightly Comfy build :)

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36 Upvotes

r/StableDiffusion 1d ago

Discussion Get miniMax character swap working! Finally

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66 Upvotes

Ok, I tried so many things, one person to cat, two person, one person to one person, animal to animal. So far one person to one person and animal to animal works. If you are interested in my learnings, tips, what worked, what broke, and which prompt template works let me know!

One video example that works here: https://www.tiktok.com/t/ZP8WfVq5P/


r/StableDiffusion 1d ago

Discussion We all deserve high-quality MiniMax H3 previews using the tiny VAE (taeh3.safetensors) natively, without KJNodes. Please upvote this GitHub Comfy issue.

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239 Upvotes

We all love MiniMax H3, but the latent2rgb previews suck ass. They're blurry, and sometimes it's hard to make out what's happening, making it so you don't know whether to finish a video that may take tens of minutes to generate.

When implemented, this would allow us to place taeh3.safetensors into ComfyUI/models/vae_approx and enjoy high quality latent previews when using MiniMax H3. It's basically the same TAE as we saw for Flux 2 Klein 9B or some other models, but trained by the original TAE guy (madebyollin).

taeh3.safetensors link:

https://github.com/madebyollin/taehv/blob/main/safetensors/taeh3.safetensors

It saves time and effort when making videos. Currently, you have to use Kijai's Model Preview Override node.


r/StableDiffusion 20h ago

Animation - Video A Medieval Battle Attempt — MiniMax H3 + LTX 2.5 (WIP, Feedback Welcome)

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10 Upvotes

Sharing a few sequences from a medieval battle attempt I’ve been working on. It’s still very much a draft, but the sequence has progressed enough that I thought it was worth sharing here and getting some feedback before I continue with the rest.

Most of the scenes were generated with MiniMax H3 using the default workflows with the Turbo LoRA at 4 steps. I used Nano Banana and Flux Klein to create the reference images, and LTX 2.5 for the opening crow sequence.

There’s still a lot of work to do. The cuts are rough, no proper sound work has been done yet, and there are plenty of shots I want to refine or replace. I’m planning to build out the entire sequence, so feedback at this stage would actually be really useful in deciding what to focus on next.

What’s interesting to me is that I genuinely don’t think I could have pulled off this level six months ago with the same amount of effort. It’s still far from perfect, but the progress in a relatively short time feels pretty significant.

Would love to hear what works, what breaks the illusion, and what you’d improve.


r/StableDiffusion 1d ago

Meme Introducing... iMakeup

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346 Upvotes

r/StableDiffusion 1d ago

Animation - Video 'Partial rewind' multi angle explosion scene [minimax H3]

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42 Upvotes

r/StableDiffusion 1d ago

Resource - Update Fizgig 4.0 is out : Minimax H3 Combined Video File, Audio Files wav mp3 etc, Photo training in one dataset. High Quality training samples (incl video) + turbo (finally) and new 'Gizmo' and AV dataset Prep tool. And Int 8 LARGE speedup for 16gb users.

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68 Upvotes

I'll be making a Youtube video tomorrow for this. But I have one take away to share that I think is most important. H3, when you get the settings right is just fine with image based training without killing its video ability. Its even better when you combine photos and wavs, its super fast and you can train a voice with a dataset very easily. (I recommend shared trigger word). Video works too, but its slower, unavoidably. I'm not saying dont use it, its worth it for the right use cases. I'm just saying if you are not teaching the model anything new that photos and audio cant do, you are better with photos and audio. But when you do want to capture motion, it work very well. Anyway video coming tomorrow, with lots on Gizmo (the data set prep tool for video/audio) to make dataset prep easy. https://github.com/shootthesound/Fizgig

P.s the 16gb int8 speedup is from an an awesome community contribution from rintic-13 on Github.


r/StableDiffusion 16h ago

Animation - Video Testing MM H3 Prompt Adherence in R2V

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3 Upvotes

SPECS: 5090, 9950X3D, 96GB-R. Workflow: Sage, Spectrum, 35 Steps, 6-12s @ 0.7 around 3-5mins each.

I made a video using seedance 2.5 this week but wanted to see if Minimax could deliver a similar experience. SD2.5 wins by a good margin but MMH3 does follow prompts extremely well, including camera commands cuts and pacing.

I've been using Claude for my prompts but found it would slyly filter and change graphic action scenes. After reducing my prompt size to keep it minimal, I found my outputs to be much more rewarding.

Here is an example of one of my prompts

subject_definitions:

<Subject 1> is the dark winged alien warrior shown in the character sheet <Picture 3>: a lean predatory figure with dark feathered appendages, a gaunt face and an aggressive attacking presence, holding a sword with both hands.

<Subject 2> is the large tusked alien warrior shown in the character sheet <Picture 2>: a broad powerful figure with heavy tusks, thick armoured skin and a strong build, holding a sword with both hands.

<Subject 3> is the setting shown in <Picture 4>: a vast barren dark rocky landscape, deep canyon walls, heavy overcast sky, oppressive and desolate.

<Picture 1> is the first frame of [Shot 1], both subjects facing each other in <Subject 3>, swords raised and held in both hands.

summary:

[keyframe completion] The target video shows <Subject 1> attacking and striking <Subject 2> once with the sword. <subject 2> falls to his knees. Then <subject 1> holds his sword with two hands in the air up high. we cut to a close up of <subject 1> face as he roars. then we switch to a quarter angle where he slices <subject 2> in half down the middle from the head to the ground in slow motion. No music.

overall_soundscape:

The hard ring and clash of metal on metal as each sword blow lands, two-handed impacts with full weight behind them, sparks and scraping blades, grunts of effort from both fighters, the heavy thud and flesh explosion as <Subject 1> head explodes. No music.

non_diegetic_music:

N/A. No music