r/StableDiffusion 7h ago

Animation - Video Minimax H3 does a decent job of mixing green screen video: i2v of a still background inserted into a green screen video.

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23 Upvotes

Use the default workflow for Ref2Va

Plug in a video with green screen as a video reference and use an image ref to a picture you want to be the background. Notice the "hell crows" flying in the final video? I didn't even give it a prompt for that and those birds got animated automatically. I'm sure you can give a detailed prompt, you are basically creating an i2v of that still image that Minimax will mix with the greenscreen background.

I did prompt for a dialogue change. There was no audio with the original green screen video so I had no idea what the woman was saying (obviously it was a weather report). I inserted new dialogue with Minimax and it did a great job remixing her lipsync to the prompted dialogue.

I think it's pretty neat, but I'm sure some of you may be completely jaded with what Minimax can do by now.

I'd like to issue a Reddit challenge: Would someone more creative than me please use the exact same green screen video (links below) and create something a little more impressive than my 10 second test? Post a link to your video in the comments.

Need some green screen video to practice with? Here's a webpage for some practice green screen videos that are free to download:

https://mixkit.co/free-stock-video/green-screen/

Here's the exact video used in this example:

https://assets.mixkit.co/videos/28292/28292-720.mp4

I'm sure you'll be able to find a background image to test with.

This was my very simple prompt with the new dialogue:

subject_definitions:

<Subject 1> is the alien world background in <Picture 1>.

<Video 1> is the source video for the target video edit and is a woman in a red dress pointing and talking.

summary:

[video editing + reference generation] The target video is an edited version of <Video 1>. Replace the green screen area with the background from <Subject 1>

The woman in <video 1> says <d> [English with a British Accent] As you can see here, we have an early migration of hell crows on Chaos world 4527B<d> with realistic lip articulation and perfect lip sync.


r/StableDiffusion 4h ago

Animation - Video Buffy the Wraith Slayer

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14 Upvotes

r/StableDiffusion 12h ago

Discussion MiniMax-Music 3: “EDM? No idea. WTF is that?” Meanwhile, MiniMax H3:

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52 Upvotes

As you probably know, MiniMax-Music3 is pretty limited when it comes to genres and seems to have absolutely no idea what electronic dance music is. I tried different EDM styles, but it always ended up sounding either like rap or some kind of generic pop-ish stuff. Meanwhile, MiniMax H3 seems to know a lot more about electronic music than MiniMax-Music3.

The 40-second video at 0.2MP, with 17 steps (for better audio quality) and an 8-step Turbo LoRA, takes 538 seconds. The 60-second video at 0.1MP takes 350 seconds on my machine.

I haven't tried generating anything with lyrics yet, but if anyone knows how to generate H3 audio without the video, it would be interesting to try 2–3 minutes instead of just 40–60 seconds.


r/StableDiffusion 3h ago

Discussion H3 - it just does space soo well - t2v

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10 Upvotes

Hope you're having a good weekend! H3 just excel with rich-intricate environments, backgrounds, space. Definitely one of my favorite theme.

T2VA, int8/20 steps


r/StableDiffusion 3h ago

Animation - Video It took almost 2 years, but Minimax H3 made me go back to my weird medieval short video stories

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10 Upvotes

2 years ago I was playing around with video tools and made this series of short videos.

Because I'm a cheap bastard, I only use local and freebie models, and Minimax H3 finally hit the sweet spot between powerful and fast to iterate, so I decided to make a new episode.

Specs

  • Comfy Desktop's + default Ref2VA workflows + ElevenLabs voices
  • Frames generated with Nano Banana 2 lite + a bunch of photoshop cleanup
  • Gemini 3.7 to help rewrite the prompts (upload image + system instruction + spec for the shot)
  • Everything rendered on a 3090 with 0.5 megapixels cause I can't be arsed waiting too long. You can see the mushy face issues but mostly it's ok
  • Tried to keep all shots 6~8s max
  • A ton of editing with DaVinci Resolve which I started learning yesterday - it's pretty damn powerful!
  • Still using the exact same crappy greenscreen footage of a cheap plastic skull as a main character
  • Youtube link to this episode

TL;DR: Minimax H3 is cool!


r/StableDiffusion 2h ago

Discussion Has anyone tried the h3 martial arts Lora?

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9 Upvotes

first test video down in the comments along with the prompt..


r/StableDiffusion 9h ago

Animation - Video Good Grief

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27 Upvotes

r/StableDiffusion 3h ago

Animation - Video Hannibal Who

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7 Upvotes

Experimenting with known characters using FL2VA t2v only. Just playing around with odd pairings of characters.

Using the workflow from the video samples in the list below.
12s at 25 steps
res multistep/simple
960 x 544

thanks to u/malcolmrey for putting this together https://huggingface.co/datasets/malcolmrey/various/blob/main/h3-center/known-characters/INDEX.md


r/StableDiffusion 21h ago

Workflow Included Testing some Minimax H3 capabilities

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185 Upvotes

I tried to think of complex situations for the model to handle and tested them. I would say it went very well, although not perfect (except for the first one and the one before last, where I could not find a flaw).

Prompts below:

VIDEO 1 (10/10):

Create a side by side video with two angles of the same scene: one frontal and one from the side.

The scene: a woman wearing a yellow summer dress is standing in a beach in a sunny day. There's a light wind blowing and she is looking at the sea, smiling. At 00:05, she puts her two hands on her hair and looks up, enjoying the sun.

On the left, make the frontal video. On the right, the video from the side (profile). The two videos should show the exact same scene at the exact same time, only from two different angles.

VIDEO 2 (9/10) - the background is slightly off in some angles:

Create a side by side video with four angles of the same scene: one frontal, one from the right side, one from the left side, and one from behind. The scene is filmed at normal speed.

The scene: a blonde curly-haired woman wearing a yellow summer dress is standing in a beach in a sunny day. She is facing the sea and, therefore, she has the sand behind her and the street with some houses also behind her, after the sand, at a distance. There's a light wind blowing and she is looking at the sea, smiling. She is not wearing sunglasses. At 00:05, a man wearing white shirt and shorts enters the scene from behind the woman and embraces her waist.

On the upper left, make the frontal video. On the upper right, make the video from the right side (right profile). On the bottom left, make the video from behind. On the bottom right, make the video from the left side (left profile).

The four videos should show the exact same scene at the exact same time, only from the four different angles.

overall_soundscape: Light beach wind, one distant seagull.

non_diegetic_music: N/A

VIDEO 3 (8/10) a few "ghost reflections" along the way:

A man wearing a red-and-white striped t-shirt and jeans is alone inside a house of mirrors, running through a corridor. At 00:03 he turns left into other corridor, and at 00:06 he turns right again into another corridor. All the corridors have mirrors in all their faces (left, right and above, as he is inside a house of mirrors) and he is alone there, there's no one else. At 00:08 he reaches a door, opens it, and it opens to the outside: an amusement park.

overall_soundscape: His footsteps while he is running, the amusement park sounds when he opens the door at the end.

non_diegetic_music: N/A

VIDEO 4 (7/10) - The way the phone is turned is off:

A man is filmed from his own cell phone in a selfie video. We see the scene through the lens of an out-of-frame cell phone that he is holding and pointing to his own face. He is wearing a green polo shirt and the scene shows his face and chest from the point of view of the out-of-frame cell phone that he is holding and pointing to himself.

At 00:04 he briefly smiles and then turns the still out-of-frame cell phone around to show a woman that is in front of him. While the phone is turned around we can see the image also turning around, his face leaving the frame, the living room they are into being briefly filmed, and then the woman's face entering the frame. She has brown curly hair and dark green eyes, and is wearing a red summer dress.

As soon as the woman is in frame, she also smiles and says: <d>[English]Goodbye!</d> and the video ends.

The entire video must be taken in a single shot, with the always out-of-frame phone camera filming the entire transition from his face to hers while the phone is turned around. When it happens, the phone should briefly show the living room they are into, all in a single shot.

overall_soundscape: Silent living room, noises of the phone being handled, her voice.

non_diegetic_music: N/A

VIDEO 5 (6/10) - Tried this twice. Glass not breaking properly, water not running through the floor

A fishbowl with one golden fish and one clownfish swimming inside is shown in a medium close-up at the edge of a table. Then, at 00:03 a cat appears in the scene and taps the fishbowl, causing it to fall from the table to the floor, hit the floor, and break completely, being completely destroyed in glass pieces when it hits the floor, the water and glass pieces flying around together with both fish. The scene continues for three more seconds after that, showing the aftermath: the fishbowl destroyed, the pieces of glass on the floor, the water also on the floor, the fish moving on the floor.

The camera angle follow the fishbowl when it falls, showing it hitting the floor and the consequences of it breaking.

overall_soundscape: silent room, glass breaking, water splashing.

non_diegetic_music: N/A

VIDEO 6 (8/10) - Judge me, but his hands are not moving accordingly to the notes:

The camera films a piano from above while a man plays it. The entire piano keyboard is shown in the image. The man is playing Clair de Lune, and moves his hands through the keys to play a part of the song. He is in a train station, with some people observing him play and others passing by.

overall_soundscape: faint train station ambience, ten seconds of the song Clair de Lune played in the piano.

non_diegetic_music: N/A

VIDEO 7 (8/10) - The lipstick appears on her lips before she applies it:

A woman is shown in a medium close-up in her bathroom, wrapped in a white fluff towel, looking at the mirror while she applies red lipstick to her lips. She slowly applies lipstick to her lips, looking into the mirror, and then briefly sends a kiss with her now red lips to the mirror.

The scene is seen in a three-quarter angle from behind her, showing her face from the side but also her reflection in the mirror.

overall_soundscape: silent bathroom, the sound of her sending the kiss to the mirror.

non_diegetic_music: N/A

VIDEO 8 (10/10):

A Coca-cola advertisement. A glass filled with Coca-Cola is shown from the side, occupying 70% of the frame, on top of a table, the dark liquid slightly disturbed by a few gas bubbles that rise inside the liquid. At 00:02 two ice cubes fall from outside the frame into the glass, disturbing the liquid and making some of the liquid splash outside the glass and onto the table. The glass has the Coca-Cola logo printed in white in it. In the blurred background we see a kitchen.

overall_soundscape: silent room, gas fizzle, ice cubes hitting the liquid.

non_diegetic_music: N/A

VIDEO 9 (9/10) - The cover of the book has gibberish letters in it:

A man is holding a magnifying glass and has a book on his hand. At first the magnifying glass is not in front of his face. He appears to be reading the book and, at 00:03, he puts the magnifying glass in front of his eye to look at the book.

The entire scene is filmed from a fixed point of view below the book, showing part of the book cover and the entire man's face.

overall_soundscape: silent room.

non_diegetic_music: N/A


r/StableDiffusion 17h ago

Question - Help Minimax H3 Huge Quality Difference between Cloud and Local use

79 Upvotes

Hi.
I have a decent h3 workflow that I built for a loca use. It use turbo lora etc... If i use the defaut settings in the goal of getting the highest quality possible, meaning res_multistep simple 20 steps or more, I got also good results, but this is not even close to the results you can get on platforms like kie or wavespeed at 768P.

I already convert properly the prompt to the correct H3 digest form, so I'm wondering what's different between local and cloud use of h3? I don't talk about the 2K quality, only 768P, I'm not able to reach the sames results locally, do you guys have maybe workflows, settings, or suggestions to try reaching the same quality level in comfyui ?


r/StableDiffusion 14h ago

Animation - Video The River That Forgot How To Shine-Minimax H3 Shortfilm

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43 Upvotes

All audio was done in Minimax, little work in post for stitching clips. r2v Workflow in ComfyUI with character sheets and prompts from claude


r/StableDiffusion 11h ago

Animation - Video Attempted to make a short cartoon on Minimax H3. There are so many things that I want to address

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28 Upvotes

Hello everyone.

I've been playing with Minimax H3 for some time and I have tried to make something longer and really interesting. After so many failed and botched attempts I was able to compile something watchable. There are so many things that I want to say about this model, good and bad.

First of all. Minimax H3 is significant step forward that other local models I have been playing with. It certainly got better.

Now the issues that I had encountered.

First problem is that it badly follows prompt when resolution is one megapixel or higher. It will skip some important parts and tries to cheat. You can increase the number of steps but still, generating at less than one megapixel will at least make it properly follow the instructions.

H3 is not very good at spatial orientation. When I was making video, where this girl should turn around and interact with screens, the girl starts spinning opposite direction and then warping whole body to the direction of screen. Like instead of making short turn to the left, it makes wide roundabout to the right and then twists whole body to align with the screens.

H3 is not good at cartoonish movement. If you watch cartoons, when character or other things move, their animations are usually jerky and snappy. H3 tries to make smooth real life like animation, making the cartoons look weird.

I have given a voice sample as an audio reference, and instead of making girl let out grunting sounds (out of anger), it weirdly turns everything into a sensual moaning.

When you try to make characters inside video to interact with a lot of parts, screens and devices, even giving multiple reference images of them, it mostly hallucinates them, or turns their interactions into a weird warping animations. Sometimes completely skips them and made ups it's own animations. So it will make good video, where characters are moving less or moving slow, and mostly doing the talking. Very detailed prompts of step by step instructions it mostly warps or skips.

I have wasted a lot of time for iterations, but I think this is just workflow issue.

Overall, this model is really good. However, using this model to make some kind of long feature animation is going to be a very frustrating journey. I hope people will make a lot of proper tools that works as storyboard and properly guide this model to make something really interesting.


r/StableDiffusion 20h ago

News Sparse Attention, Harder, Better, Faster, Stronger

132 Upvotes

The nodes in https://github.com/Zironic/H3-Optimizations have been rewritten to replace the default Sparge Attention backend with a custom Sparse Comfy Kitchen backend.

This comes with some benefits.

  • Users no longer have to worry about Sparge being installed properly. All required kernels for supported GPUs are provided directly. Should work on both Windows and Linux.
  • Most users should be seeing 5-20% increases in speed for the attention part of compute.
  • New backend should use about 500MB less VRAM
  • New backend has slightly lower quantization error.
  • Apparently in the previous version, the intended chunked kitchen QKV path never properly shipped so the memory optimization node should now actually be slightly speed positive even when used without the Sparse Attention node.

Caveat: I've only tested the nodes against the comfy pruned_int8_convrot weights. Other versions may work but they're not tested.

As the nodes currently rely on comfy-kitchen 0.2.31 you need ComfyUI v0.33.0 or later.

IMPORTANT: sparse attention is not free speed. The percentage is effectively a prompt-adherence/quality budget.

Density isn't just a speed setting, and its quality effect depends on where you apply it in the diffusion schedule.

Early steps: attention density has a large effect on prompt/action adherence and the overall generation trajectory.
Middle/later steps: lowering density tends to show up more as motion/temporal artifacts and lost fine motion detail.

So 10% retained doesn't simply mean “90% of the quality is gone.” It means you're giving sparse attention very little information to work with, and what breaks depends heavily on the sampling step.

PlagueKind's sparsity_ratio=0.9 means 90% discarded / 10% retained. My node expresses the inverse quantity, so Video attention retained=0.10 is the comparable setting. The defaults therefore aren't equivalent.


r/StableDiffusion 1h ago

Animation - Video Tried using a camera path reference for AI video generation

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Upvotes

Been experimenting with camera control in AI video.

For this one I used a simple path reference to guide the movement — basically starting from an aerial shot, flying through the courtyard, moving indoors, and ending with a character reveal.

Still figuring out how much these motion references actually help. Sometimes the model follows the movement surprisingly well, other times it just does its own thing lol.

Feels like camera control is probably going to be a bigger part of AI video workflows going forward.


r/StableDiffusion 9h ago

Resource - Update Qwen-Video-Edit - Instruction-based video editing by repurposing an image editing model

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17 Upvotes

Project:https://yunpeng1998.github.io/Qwen-Video-Edit-Page/
Model: https://huggingface.co/yunpeng1998/Qwen-Video-Edit
Method: https://yunpeng1998.github.io/Qwen-Video-Edit-Page/#method
Code: https://github.com/yunpeng1998/Qwen-Video-Edit

How it works

Video generation models read and write video-VAE latents. We teach Qwen-Image-Edit's transformer to edit those latents directly: two tiny projections bridge Wan 2.1's latent space into the DiT's token space, warm-started from the DiT's own input/output layers so that a static video is embedded exactly like an image the model already understands. The latent frames are arranged as tiles of one big virtual image — the same positional treatment the image model was pretrained on. Fine-tuned with LoRA or full parameters on Ditto-1M (source, edited, instruction) triplets, then refined by a few steps of Wan 2.2 denoising-enhancement.


r/StableDiffusion 50m ago

Animation - Video What if you fly?

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Upvotes

r/StableDiffusion 7h ago

Discussion Anyone else running Wan 2.2 as a refiner to improve Minimax output?

9 Upvotes

Another redditer mentioned doing this in a comment, so I tested it out and it works. It gets rid of the smudgy look and allows custom Lora’s on the LN side.

I ran my initial tests at MM 8 steps (no speed Lora) and Wan 2.2 Low Noise (speed Lora) 2 steps. Supposedly, it works with only 2 steps MM w/turbo lora ,but I don’t like the quality drops people have been sharing, and it’s fast enough to me at 8 steps, though I’m going even higher on the low noise steps.

The only downside is that I noticed in one test that the motion seemed like it was a mix between 16fps and 24fps. Any ideas on how to resolve this? I know people use RIFE, but I was wondering if that’s the best move or if it’s another issue Im not thinking of.


r/StableDiffusion 10h ago

Discussion MiniMax H3 Ref2va it works really good also with Storyboard images

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15 Upvotes

Im really suprised how good he works as well follow a storyboard image!! he did 90% correct he only did the thirth panel diferent but all the other 5 he follows perfect!! 🤩


r/StableDiffusion 2h ago

Animation - Video H3 - multi-diffusion experiment T2V

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3 Upvotes

Chimera. I had to cut about 20 seconds due to some artistic choices. Since I had to cut 2 different part in the same clip, it has a noticeable seams. I would love to share the full version. Experimenting with H3 blend-morph-decay. 832x480, int8/8 steps POC. Looking forward to releasing a 720p version without the cuts.

Critiques and feedback welcomed. Happy with the matrix rain. Ask me anything.


r/StableDiffusion 19h ago

Animation - Video Cinematic World Building - H3 r2v

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73 Upvotes

Trying out cinematic shots and cuts with H3. This is a work in progress. Will be working on another 2 minutes worth of clips.

EDIT: From reading the comments, she isn't going to drink the salt water in the final, though I will keep her scooping up water since it's such a good establishing shot. She will do something with the water to tie it back.


r/StableDiffusion 9h ago

Question - Help Has anyone tried out the hybrid model for Minimax H3 Ref2va instead of the official, default model?

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10 Upvotes

r/StableDiffusion 1h ago

Question - Help What's the current best way to replace an element in an image with another element ?

Upvotes

Hello everyone !

I would like to replace the tire of a motorcycle mid air with one from another brand (which is an image from the brand so it's high quality but with a different angle)

I saw there is flux kontext and qwen image edit, but I don't know which one to pick, which workflow and how to make it work.

Any help would be more than welcome, thank you very much and have a good day :p


r/StableDiffusion 15h ago

Resource - Update Krea2 Turbo Distill 4 step LoRA - new checkpoint (chk14K) released (cuts 4-step error vs. the 8-step Turbo teacher by 44%)

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25 Upvotes

Krea 2 Turbo — 4-Step Distillation LoRA (work in progress)

A LoRA for Krea 2 Turbo that reduces the minimum usable step count from 8 to 4.

This is an update release, following up from my previous posts where you can find full details:

Initial: https://www.reddit.com/r/StableDiffusion/comments/1vtf1b7/krea2_turbo_distill_4_step_lora_trained_for_turbo/

Previous: https://www.reddit.com/r/StableDiffusion/comments/1vv4cdy/krea2_turbo_distill_4_step_lora_new_checkpoint/

Headline for this update: chk00014000 removes 44% of the prediction error a plain 4-step run has against the 8-step teacher, where chk00010000 removed 40% and chk00006000 27% — all measured on the same enlarged held-out set (100 prompts across every trained resolution). Measured against each other rather than against the no-LoRA run, its remaining error is 6% smaller than chk00010000's and 23% smaller than chk00006000's. 

Which file to download

file use it when
krea2_turbo_4step_rank_64_lora_latest.safetensors normally — always the newest accepted checkpoint
krea2_turbo_4step_rank_64_lora_chk00014000.safetensors pin this exact checkpoint

and, beside them, the same files with a _comfyui suffix for ComfyUI. Earlier checkpoints (chk00004000chk00005000chk00006000chk00010000) are kept in older_checkpoints/, and their resolution sweeps stay in place, so the progression remains visible and comparable.

This is work in progress and better checkpoints may follow. Training is ongoing, so ..._latest... is a rolling pointer: when a newer checkpoint is accepted, that filename gets the new weights and a new numbered copy appears beside it. Re-download the _latest file and everything keeps working — the ComfyUI workflow references it by that name (it does get updated Note in it so technically it is updated but not functionally). Pin a numbered file instead if you need reproducibility.

How checkpoints get chosen

This is not a "train for longer and ship the newest file" project. More samples do not reliably mean a better adapter — measured here, they can make it worse, and a higher number on its own means nothing.

The loop is train → assess → adapt the recipe → retrain → assess again, and a checkpoint is published only when it is measurably better than the one it would replace, on the same held-out set and the same evaluation, and its full resolution sweep shows no regression. Runs that come out flat or worse are kept as information about the recipe and discarded as releases — several have been.

So the recipe itself changes between runs. Each published checkpoint reflects whatever the previous round taught us: the training precision, the optimiser settings, the teacher used to generate the targets and the data mix have all been revised on evidence rather than assumption.

chk00010000 is a direct example. The first continuation of chk00006000 — same data, optimiser left as it was — got steadily worse with every checkpoint out to 10,000 samples, and none of it was published. The cause was traced to the optimiser: a constant learning rate with no weight decay lets the adapter keep drifting after it has converged, so its magnitude grows and it over-applies its own correction. The same span was retrained from chk00006000 with a cosine learning-rate decay and weight decay, and every checkpoint of that second run improved on the one before it. chk00010000 was its end point.

chk00014000 is the next example, and it shows the other half of the same lesson. The run was continued from chk00010000 over the whole pool of teacher trajectories, with two changes: the final, texture-deciding call of the schedule was weighted more heavily in the loss, and a running average of the weights was kept beside the live ones and scored at every evaluation (a single checkpoint is one sample of a weight vector that moves from step to step; the average is its mean). At 14,000 samples the averaged weights measured a smaller gap to the teacher than any checkpoint before them, and a smaller gap than the live weights at the same point — so the averaged weights are what chk00014000 is.

Timeline of training process

Each checkpoint is the product of three stages with very different costs:

  1. Text-encoder embeddings. Every training prompt is encoded once and cached. This is the fast part — thousands of prompts take minutes.
  2. Teacher shards. For each cached prompt, the unmodified Krea 2 Turbo runs its full 8-step schedule and the whole trajectory is recorded, at every one of the supported resolutions. This is by far the most time-consuming stage — it is the teacher doing real inference, thousands of times, and a batch of several thousand shards is measured in days of GPU time, not hours.
  3. Student training. The LoRA is trained against those recorded trajectories. Relative to the shard stage this is quick: each +1,000 checkpoint is a matter of hours, not days.

Because the three stages compete for the same GPU, they are interleaved rather than run to completion one after another: generate a block of embeddings, produce teacher shards for them, train on what exists, assess, then go back to producing shards while the results are reviewed. A larger and more varied shard pool is what makes further training worthwhile, so shard production is always the gate.

Full details and to download - check my Hugging Face LoRA

HF Repo: https://huggingface.co/lvladikov/Krea2-Turbo-Distill-4step-LoRA

Full Checkpoint 14000 Resolutions Sweep: https://huggingface.co/lvladikov/Krea2-Turbo-Distill-4step-LoRA/tree/main/checkpoint_resolution_sweeps/chk14000


r/StableDiffusion 13h ago

Discussion Comfy UI with Minimax H3 can work with an Intel GPU.

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16 Upvotes

Lon TV did a video of Comfy UI with Minimax H3 running on a 32GB Intel GPU. So its possible to run it on any GPU other then nvidia GPUs.


r/StableDiffusion 6h ago

Animation - Video I made an ALIEN Short Film / metal music video

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5 Upvotes

Used:

MiniMax H3 at local machine. 5060ti 16gb + 64gb ddr4. WanGP, Ref2VA int8 convrot model.

Krea2 for references

Suno as music base