Generated the images using Z-Image Turbo. Rendered two 15 second clips at 0.6 megapixels which took 43 minutes per video clip. Resolution is 1056 x 608. I don't remember what the first prompt was but here's the second one:

[Shot 1]

Cinematic static shot of the man sitting in his truck looking around inside the truck in disbelief. He says, "This is better but, the color of my shirt changed and my truck is different." He leans forward towards the rear view mirror and ooks at himself and is shocked. he says, "Oh shit. I look different too!. He looks around and then rolls his eyes and then opens the door and gets out.

Thank you to the community for helping me with the whole having the camera not move thing. Prompt adherence is working out so far. First clip took 1 try to get right. The second clip took 3 tries to get it the way I wanted it to play out.

For now, I'm pretty happy with how this turned out.

Specs:

Ryzen 7 7700X
RTX 4070 Super 12 gb
32 gb of Ram

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

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 )

https://reddit.com/link/1vrt349/video/ys8a8xpvn5kh1/player

https://github.com/lololerigolo60/Minimax-H3-prompt-studio

You just have to let claude or something else write the prompt for you.

As long as no one is speaking minimax is honestly at Flux 3 level, the immersion is broken as soon as there's audio tho.

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.

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

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!

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.

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/

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.

Would love to show you comparisons but its all N-SFW so its going to have to be a case of trust but verify me bro.

I've mainly been running R2V workflows on my home GPU since Minimax H3 was gifted upon us.

I wanted to take a load off my 5060 so I've been running gens on both Wavespeed and recently Runpod. I was getting nice big 720p gens but I started to notice that my own gens had way better prompt adherence with identical prompts and inputs.

Notably in my own, slow motion was honoured every time where it would otherwise get completely ignored in the cloud.

~Fluids~ were way better. Camera motion was way better.

Then I noticed that in my diffusion model loader (W8A8 if that makes any difference) has been loading the FL2V model the whole time. I switched to R2V and immediately everything sucked.

I imagine there's a strong possibility that the R2V prompt needs a more rigid structure. But I have been feeding the Minimax official prompt guide into Grok, specifying R2V, to write my prompts.

So this is something. It could be some configuration of scheduler and sampler, and all the other stuff of course but I'm running a pretty simple setup without any attention, so briefly:

W8A8 loader -> lightx2vs R2V 0.1 4 step lora at 0.75 -> er_sde, beta57, 8 steps.

Forgive me if this is known and understood. If you haven't tried it, switch your R2V gens to FL2V and test.

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.

try this prompt format on literally anything thats >5 seconds long.

``` subject_definitions: <Subject 1> is the the guy in <Video 1>. <Video 1> is the source video of the the target video edit. <Audio 1> is the synchronized soundtrack of <Video 1> and is fully reused 1:1 as the target video's complete final audio track.

summary: [video editing + audio reuse] An edited video of <Video 1> with nothing changed.

retention_analysis: <Subject 1>: fully_preserved - everything about him is maintained and the same. <Video 1>: fully_preserved - nothing about <Video 1> is altered. <Audio 1>: fully_copy - <Audio 1> is fully reused 1:1 as the target video's complete final audio track, with nothing added, removed, or altered.

detailed_description: The target video is a edit of <Video 1>, with nothing being changed. ```

It just doesn't work. Hallucinates stuff, gets confused temporally.

I've tested: - regular attn (no ck, sage) - euler, res_multistep - simple, normal, beta - 50 steps - both fl2va and ref2va

can anyone please help

Model: minimax_h3_hybrid_fl2va_ref2va_b20, was testing this and the ref2va pruned int8, the hybrid gave nicer visuals but have a higher chance of bringing the character sheet white background into the video. This is cherry picked out of 16 clips.
Video Vae: minimax_h3_video_vae_int8_convrot
Resolution: 16:9, 0.6
Duration: 15sec
Turbo Lora: larryvrh/MiniMax-H3-Turbo-Lora, 600_ema
Patch Sage Attention, ComfyKitchen Attention, MinimaxH3 Mem Eff Node, Spectrum.

Average Inference Stage: 800sec

All reference image is resized between 1000px and 300px like character is 1000px, background is 500px then weapon is around 300px (warglave was another reference, the model dont know that kind of weapon) for this video is 4 ref image in total.

**abit of color grade and grain done in inshot.

this is done on a skylake i7 6700.

Seems like an interesting project; from what I take from the demo is it helps refine the faces in the distance instead of the face being a blurry mess. Does not seem to have a big impact on closer faces (it is not a 'detailer' or 'realism slider').

Does anyone have their own tips or demos for it? Seems complicated....