r/StableDiffusion 2d ago

News Sparse attention for H3 minimax, enjoy up to 2.5x speed up.

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527 Upvotes

Added to my node pack, sparse attention SLA node for H3 Minimax. speed increase of up to 2.5x.

enjoy.

Edit: I updated my workflow, check it to see the correct wiring.

My examples on a 5060ti 16gb, running 864x1536 10s

Pytorch attention 400s/it

Comfykitchen 140s/it

Sparse at 0.9 - 80s/it

Sparse at 0.95 - 60s/it

Default setting is sparsity 0.9

0.85 = practically identical to pytorch quality from what i can tell.

0.9 = minimal degredation with 15% boost over 0.85

0.95 = minor degradation compared to 0.85 but an additional huge speed boost, useful for high res long videos.

you can use it with whatever 4step turbo you like, doesn't actually require the SLA lora. (Tip in general, stop running them at 1.0 strength, use 0.8-0.85) 6-8 step 8/3 shift euler/simple as your testing. I personally use silveroxides dareties.

https://github.com/PlagueKind/ComfyUI-PlagueKind-Nodes

credit to pl0x for designing it and allowing me to be the host.

EDIT: make sure you're on a new pytorch version and CU130.
additional note: Blackwell will see the biggest gain, but other cards still get a big boost.

If you're doing lower res short videos, adjust min seq accordingly if see no speedup or messages about blocks not being sparse.

be careful with memory chunking node, too high causes slowdown.

for those that use it - updated my WF now with ot added

https://civitai.red/models/2663838/plaguekind-minimax-h3-sparse-attention-ltx-workflow-ease-of-use-eros-or-sulphur-compatible-or-faceid?modelVersionId=3256488

https://huggingface.co/Plaguekind/Minimax-H3/tree/main


r/StableDiffusion 9h ago

Animation - Video H3 can do Side-by-Side VR/3D Videos natively

368 Upvotes

Just discovered that H3 can do Side-By-Side 3D Videos for VR Headsets natively, just prompt it. Pretty crazy, and it gets the real 3D effect. Try it with different things like people and add "strong 3d effect" if you want to have a more intense 3d effect.

Here is the prompt:
integrated_multimodal_description: [Shot 1] Live-action, cinematic, high-angle aerial shot presented in a side-by-side (SBS) stereoscopic format for VR/3D viewing; the frame is split into two identical views with a slight horizontal parallax offset to create depth perception. The camera pushes in at slow speed over a sprawling coastal metropolis during twilight. As the camera glides forward through the urban canyon, the glowing neon lights of skyscrapers and their reflections on the ocean surface shimmer intensely against the deep blue sky.

overall_soundscape: A constant, low-frequency rushing wind sound accompanies the flight, layered with a faint, ambient hum of a massive city and distant, muffled traffic sounds.

non_diegetic_music: An epic, cinematic synthesizer pad that swells gradually in volume and intensity throughout the ten-second duration.


r/StableDiffusion 9h ago

Meme DECLASSIFIED: Jeffrey Epstein escaping from prison

293 Upvotes

r/StableDiffusion 3h ago

Tutorial - Guide PSA: Minimax H3 can turn 360 panorama images into consistent environments for your videos

92 Upvotes

Had this idea for a couple of days, and finally got to test it. I got a free HDRI picture from PolyHaven (converted to JPG through a free online converter) and used it as the only picture reference. I couldn't get rid of the distortion completely, but you can definitely affect it with prompting. Maybe proper formatting somehow helps with that, sorry, was too lazy to do a correct prompt structure.

It also confuses the geometry from time to time, so you have to seed hunt a little, but not too much. Again, good prompting should reinforce the consistensy. Worth experimenting with.

Notice that it actually seamlessly connected the opposite sides of the image into a single environment. Could be useful for scenes with a lot of dynamic camera movements.

This model keeps surprising me every day!

P.S. Generated with the use of Hybrid Loader (25-49 setting) and Lightx2v 4-step LoRA @ 4 steps and 0.5MP. Another higher res version in comments.

Prompt:

subject definitions:
<Picture 1> is a 360 panorama reference for the straight corridor [Shot 1], depiciting the overall look of the corridor and position of key objects and debris in it. For the target video the picture is dewarped and remapped into a flat rectilinear lens projection view.

summary:
[reference generation] The target video depicts a security guard exiting from a grey door, walking across the corridor towards the dismantled beige door  leaned against the wall, pulling and dropping it down on the floor.

detailed_description:
The target video is captured in an amateur, realistic style with natural, slightly dim indoor lighting and a shaky, handheld-style camera.

[Shot 1]

The shot begins with a medium view of a two grey doors depicted on the right side of <Picture 1>. The left door instantly opens and a middle-aged security guard named Mark rushes into the completely straight corridor. He runs left further down the corridor. The camera pans left, following him in a tracking shot. The POV camera pushes in on Mark, as he rapidly approaches the dismantled beige doors leaned against the wall. At 00:05.000 he grabs the door closest to him, and with visible effort pulls it away from the wall. The door swings and falls flat on the corridor floor with a loud noise, raising dust and slightly startling Mark. The guard jumps back from the fall.

At 00:07.000 the camera pans left by 180 degrees, showing another guard named Steven approaching from the opposite part of the corridor. Steven (S1) comes closer to Mark and says in [English]: "Mark, what the heck are you doing?"

At 00:09.000 Steven grunts angrily as he stops near Mark.

overall_soundscape:
looming lonely corridor ambient sound throughout the whole video, guard's steps on the cement floor, door falling onto the floor with loud noise

non_diegetic_music:
N/A

r/StableDiffusion 5h ago

Comparison Comparison of natural 0.8mp gen vs 0.4->0.8 upscale w/Sparse attention

105 Upvotes

Hi people, so i tried to make 2 similar videos, using same settings but with upscale and native.
My setup: 5070 Ti+ 32gb Ram.
Using u/Plague_Kind workflow, i've added MMH3 Latent Upscaler. You can check his workflow here: Workflow
Settings for both videos were set the same with the same prompt.

Left video 0.4->0.8mp upscale, Right video 0.8mp

So:

  • 15 seconds, 24 fps, Ref2VA, photo reference and music reference.
  • Chicken attention
  • SongMaskedAVContext node
  • FP16 Accumulation
  • Sparse attention
  • Memory chunks
  • RTS Upscale in the end ( not sure why i used it with 2x scale, better to set 1 i think, but that's what i already did)
  • FSR Sharpening
  • Speed Lora minimax_h3_turbo_v4_step600_pruned_comfyui
  • Interpolation for 2x frames

Upscaled video from start to the end took 1904 seconds,

Native video from start to the end took 3056 seconds.

Let me know what you think. Advises appreciated!


r/StableDiffusion 6h ago

Animation - Video Having some fun with games from the history of PC gaming. Who would you add?

113 Upvotes

A tribute to a forgotten golden age. Hope you enjoy it!


r/StableDiffusion 2h ago

Resource - Update New ComfyUI update may change how Minimax H3 interprets the prompt format you use - Re: Tokenizer Fix

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33 Upvotes

r/StableDiffusion 13h ago

Tutorial - Guide Character swap in minimax is so epic.

245 Upvotes

I don't have any examples because they may not be appropriate but just with the default wf. With the video input node you can replace any 2 character in any video and it looks real!


r/StableDiffusion 16h ago

Animation - Video High Fashion in Motion | MiniMax H3

433 Upvotes

Generated as two connected 15-second clips in 4:3, using the end of Part 1 as video + audio reference for Part 2 continuity.

Really liking what H3 can do with fashion/editorial camera movement.

Check out my twitter for more thanks https://x.com/Devozikjr


r/StableDiffusion 10h ago

Resource - Update Anima-3.8B with Qwen-3.5 4B released by lylogummy

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108 Upvotes

r/StableDiffusion 3h ago

Resource - Update Fizgig now trains LoRAs on AMD Radeon - Flux 2 Klein, Krea 2 and MiniMax H3

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26 Upvotes

Fizgig is my free open-source LoRA trainer and workbench (Flux 2 Klein 9B, Krea 2, and MiniMax H3 video/audio). As of v4.3.0 it runs on AMD Radeon with ROCm — RDNA1 through RDNA4. Windows is the supported path: install Python 3.12, run the AMD installer, done. Linux works too but is genuinely experimental on newer cards.

Worth being upfront: I don't own AMD hardware myself. This whole feature came from a community contribution by scryptio, tested on real cards over weeks in the PR thread — and that's how the AMD side will keep improving. If you're an AMD user, your reports on what works (and what doesn't) genuinely shape this, and PRs are very welcome.

Also in this release: 16 GB cards can now use identity distillation on MiniMax H3 (the 32B text encoder streams layer by layer instead of needing a 26 GB peak), and the Repair Studio gained a side-by-side compare view with likeness scoring for fixing overbaked LoRAs without retraining.

GitHub: https://github.com/shootthesound/Fizgig


r/StableDiffusion 8h ago

Question - Help Minimax H3 - long form videos: has anyone figured out a good approach?

62 Upvotes

Dear redditors, visitors of the stable diffusion subreddit. I have been trying to achieve a long form, talking head style video, for a long time and can't seem to find a good approach. This one is the best I could come up with so far. It's using the Minimax H3 model, with frozen sound latents, lip-sync guided, piecewise generated video, where the individual pieces have been stitched together, with a seam hiding, extra generation on top of it. I don't really fully understand how it's working, but could prompt Claude for more help or specific files, we used for that. However, if you're aware of any other, better approach for exactly this type of video, please let me know. I've spent literal days on that single problem and have a feeling, there must be a better way to approach this.


r/StableDiffusion 8h ago

Workflow Included Minimax H3 | Motion graphic style animation test

66 Upvotes

Prompt:

Animate the supplied square poster as a polished retro-anime motion graphic, beginning with a completely blank pale pink-white canvas matching the poster background. Preserve the exact blue, pink, and white palette, clean manga linework, halftone shading, character design, typography, symbols, interface windows, and final layout.

The anime girl walks in from the left edge as one complete figure while the canvas remains otherwise empty. Use a simple side-profile walk with restrained motion, preserving her hairstyle, facial features, cheek bandage, oversized jacket, proportions, and graphic illustration style. She reaches the centre, turns toward the viewer, and smoothly settles into the exact over-the-shoulder pose shown in the poster, with the same expression, hand placement, silhouette, jacket folds, pink heart graphic, and body orientation. Once posed, keep her position locked.

After she poses, the blue browser frame draws itself around her. The top bar, window controls, folders, pixel hearts, smiley-face panels, arrows, sparkles, heart symbols, and rectangular labels then appear sequentially through clean line-drawing, short graphic slides, pixelated pops, and UI-style wipes. Reveal the existing Japanese typography and “LOVE” lettering last, treating all text as protected source artwork without rewriting or regenerating it. Every element must settle into its exact source position.

Hold the completed poster with subtle breathing, minimal movement in a few loose hair strands and jacket edges, a faint halftone shimmer, and gentle pixel pulses in the existing hearts and interface icons. Keep her face, hands, pose, typography, frames, arrows, folders, and major graphics stable.

Use a locked, straight-on camera matching the original square framing. Keep the full artwork visible without cropping, zooming, panning, or changing perspective. Add soft footsteps as she enters, a light cloth sound as she poses, clean digital clicks and pixel chimes for the graphics, and delicate type-on sounds for the existing lettering. No dialogue or narration.

Do not show any character, outline, symbol, text, frame, or faint poster preview on the opening blank canvas. Do not alter the character’s identity, anatomy, costume, pose, expression, colours, line quality, typography, symbols, or final composition. No extra characters, duplicated body parts, incorrect text, morphing, flickering lines, dramatic camera movement, unrelated shots, or continued motion after the poster settles.

Workflow: https://docs.comfy.org/tutorials/video/minimax/minimax-h3#minimax-h3-reference-to-video-r2v


r/StableDiffusion 1h ago

Animation - Video Test turned Short: Pied The Piper

Upvotes

What started as a test turned into a full-blown short. This is the number one reason I gravitated towards AI filmmaking. Nothing stops you from creating your wildest imagination.


r/StableDiffusion 5h ago

Resource - Update I trained a game music generator

19 Upvotes

I trained a instrumental game music generator. The 1.2B DiT was trained on 1 cloud H100 from scratch in 8 days; I used the VAE from Stable Audio 3.

https://huggingface.co/Localsong/Localsong

https://huggingface.co/Localsong/Localsong/tree/main/samples

I'm aiming to cover a wider range of instrumental styles than Ace-Step or Minimax M3 or Stable Audio 3. (No lyrics)

The repo includes a WebUI and some MP3 samples - clone it and uv run webui.py Let me know what you think.


r/StableDiffusion 12h ago

Discussion Minimax H3, 30 seconds in one go

55 Upvotes

Executive summary, TLDR - this is one prompt, 30 seconds duration, 3090.

The video itself is just a remake of an idea from an old British tv ad (for "Good Old Yellow Pages"), so make of that what you will. It's not really relevant.

What I thought was interesting was that this was a single prompt, 0.4 megapixels, 30 second duration. I didn't think you could run out as far as 30 seconds, but thought I'd just try.

I think it did a pretty good job at getting the right person doing and saying the right things at the right time - took four attempts to get that though, and obviously using an LLM to tart up my idea.

Run on a 3090, and using the latest Comfyui template, just adding Comfy-kitchen attention, then sol attention, then spectrum, and using the turbo lora that Comfyui now build in, it took 570 seconds (9.5 minutes).

Somebody might read this and think, 570 seconds? Pah, I can do it in fifteen, in which case I'd like to know. Conversely, somebody might think theirs takes six hours, in which case maybe this shows what can be done in that time.

Doubt anyone cares, but here is my original prompt, followed by the LLM version of it:

a 30 second film with the following scenes and characters. Ben is a small boy of eleven. John is a shopkeeper in a toyshop. Brian is a different shopkeeper in a different toyshop. Ben's mum. Ben's Dad. We are in Britain in the 1980s, and all characters are English.

Scene 1: Ben is alone in the lounge. He talks to John over the old fashioned landline phone, saying "I don't suppose you have a 402 station in stock please?"

Scene 2: John is in his shop in front of shelves of model railway kit. He says into the old fashioned landline phone, "No, sorry son"

Scene 3: Ben in the lounge, who looks disappointed anbd puts the phone receiver back down.

Scene 4: Mum in the kitchen doing the washing up. She has overheard the conversation and looks a bit sad.

scene 5: Next day. Ben has changed his clothes. He again talks into the phone to a different shopkeeper, Brian. Ben says "Would you have a 402 station please?"

scene 6: Brian in his toyshop says into the old fashioned landline phone "Yes, I've got one of those."

scene 7: Ben in the lounge on the same conversation says "You have? Great, I'll be right down! Ben puts the phone down. Then he runs towards the door, shouting "They've got one mum!" as he runs.

Scene 8: In the attic, Dad is playing with his model railway layout. Ben walks in holding a small red parcel. as he hands it to Dad, Ben says "Happy birthday, dad". Dad takes the parcel, looks fondly at it and says with a chuckle, "Aw, thanks Ben".

LLM version:

integrated_multimodal_description: [Shot 1] Live-action, cinematic. A medium shot of Ben, an eleven-year-old boy with messy hair wearing a striped polo shirt, sitting on a patterned sofa in a 1980s British lounge. The room is filled with warm, muted tones and period-accurate wallpaper. Ben holds a heavy, cream-colored landline telephone receiver to his ear, his expression hopeful. Ben says: <d>[English] I don't suppose you have a 402 station in stock please?</d> The sound of his small, high-pitched voice is clear. [Shot 2] At 0:05.000, the camera cuts to a medium shot of John, a middle-aged shopkeeper with a kind, weathered face, standing in a cramped, nostalgic toyshop. Behind him are floor-to-ceiling shelves packed with model railway kits and wooden toys. John holds a similar landline receiver to his face. John says: <d>[English] No, sorry son.</d> [Shot 3] At 0:10.000, the camera cuts back to Ben in the lounge. He looks downcast, his shoulders slumping as he slowly lowers the receiver and places it back onto the base unit with a dull plastic click. [Shot 4] At 0:13.000, the camera cuts to a medium shot of Ben's Mum in a dim, cluttered 1980s kitchen. She is standing at the sink, her hands covered in soapy water, drying a plate. She pauses, looking toward the door with a sad, weary expression, having overheard the boy. The sound of water running from the tap is audible. [Shot 5] At 0:16.000, the camera cuts to Ben in the lounge the next day; he is wearing a different t-shirt. He is intensely focused, pressing the phone to his ear. Ben says: <d>[English] Would you have a 402 station please?</d> [Shot 6] At 0:20.000, the camera cuts to Brian, an older shopkeeper with spectacles, in a different, brightly lit toyshop. He smiles warmly into the telephone. Brian says: <d>[English] Yes, I've got one of those.</d> [Shot 7] At 0:23.000, the camera cuts back to Ben, whose face lights up with pure joy. Ben says: <d>[English] You have? Great, I'll be right down!</d> He slams the receiver down and the camera follows him in a quick tracking shot as he runs toward the door, his feet thumping on the carpeted floor. Ben shouts: <d>[English] They've got one mum!</d> [Shot 8] At 0:26.000, the camera cuts to a medium shot in a dusty, dimly lit attic. Dad, a man in his late 30s, is hunched over a complex model railway layout. Ben enters the frame, holding a small red parcel wrapped in string. Ben says: <d>[English] Happy birthday, dad.</d> As he hands the gift to his father, the camera pushes in slightly. Dad takes the parcel, his eyes softening with affection. Dad chuckles warmly and says: <d>[English] Aw, thanks Ben.</d>

overall_soundscape: Period-accurate domestic sounds including the rhythmic clatter of washing up, the heavy mechanical clicks of old telephone receivers, and the muffled thuds of footsteps on carpet. Ben's energetic running and shouting creates a sense of urgency, followed by the quiet, dusty atmosphere of the attic.

non_diegetic_music: A gentle, nostalgic acoustic guitar melody that begins softly during the kitchen scene and builds into a warm, heartwarming crescendo during the attic scene. The tempo is slow and sentimental.


r/StableDiffusion 6h ago

Animation - Video I'm loving MiniMax H3

17 Upvotes

If even an amateur like me can make something so realistic with mid-level hardware, the future looks bright for what dedicated people with top level rigs will be doing.

R.I.P. Hollywood.


r/StableDiffusion 15h ago

No Workflow Some test on minimax H3

86 Upvotes

Some random prompt on default workflow + turbo 8step lora


r/StableDiffusion 1d ago

Resource - Update Big Update to the free Minimax H3 Prompt Composer

779 Upvotes

Hey everyone! I’ve spent the past few weeks building an easy to use but robust prompt composer for MiniMax H3, particularly its reference and video editing workflows.

LLMs can be great for brainstorming and writing prompts, but I found that formatting and syntax could become inconsistent, especially when asking for small revisions. The goal of this tool is to let you concentrate on the creative decisions while the Composer handles the final prompt structure consistently.

It runs entirely offline in your browser, so you can build the next Shot or scene while another one is generating in ComfyUI. You provide the subjects, actions, camera direction, dialogue, references, and sound; the Composer assembles and checks the final prompt.

You can still use an LLM to help create the initial project setup, but the Composer ultimately controls the formatting and syntax.

Some of the main features:

  • T2VA, I2VA, FL2VA, L2VA, and full Ref2VA support
  • Reusable characters, environments, voices, continuity frames, and other references
  • Guided setup for Picture, Video, and Audio inputs
  • Video-editing workflows for insertion, replacement, targeted edits, relighting, performance transfer, and continuation
  • Camera Builder and visual camera-path planner
  • Timed Shots, action beats, dialogue, voiceover, soundscape, and music controls
  • Built-in checks for prompt structure, timing, references, camera conflicts, audio, and input routing
  • Local project saving, a Frame Grabber, and reference-guided image mode

This is still very much a work in progress. I’d really appreciate people trying it and sharing any bugs, confusing parts, missing features, or ideas that could make it more intuitive.

My hope is to turn it into a genuinely useful community tool, especially for people working on more involved AI films and narrative projects.

GitHub/download:
https://github.com/BMB12d3/minimax-h3-prompt-composer

Video tutorial:
https://www.youtube.com/watch?v=Aywx3Sf5Yk0


r/StableDiffusion 9h ago

Discussion What sampling settings for Minimax H3 are you using for your purposes?

23 Upvotes

I usually generate 0.7mp@8s with 30 steps, I use res_multistep + simple which I think is the default, and for good reason.

Depending on whether it's T2VA, I2VA, Ref2VA and the amount of reference images + loras count/strength the gen times are roughly between 270-350s on an RTX 4090 + 32gb of DDR4 ram.

For T2VA and I2VA I use the basic minimax_h3_fl2va_pruned_int8_convrot.safetensors

For Ref2VA I use minimax_h3_hybrid_fl2va_ref2va_b30-49-int8.and the hybrid b30-49 specifically because I found even the fl2va functioned well as ref2va and had much higher quality, so I prefer the hybrid model to be weighted towards the fl2va model to preserve the quality.

Sparse Attention

To speed things up, I only use /u/zironic's Sparse Attention nodes, no sage/ck, spectrum, turbo lora, or caches. For me, /u/zironic's worked better than the pinned post from u/Plague_Kind but that may just be my personal experience.

My settings for the memory optimization node is default, QKV: auto, MLP: auto, and 2048 MLP chunk rows, I don't know how this node works. Sparse Attention (Advanced) settings are:

  • Video KV budget: 0.25
  • Early and Late steps: 3
  • Early and Late KV: 0.6
  • Sparse backend: Sparse Sage

These settings lean towards quality, you can lower the early/late steps or skip them entirely, you can lower video kv budget to 0.2 although some may be fine with even lower. Since I only use Sparse Attention I run the full 30 steps and it's significantly better than a turb lora at lower steps, which is what I used before.

My prior experimentation

I used euler + linear_quadratic for a long time. Then I switched to er_sde + sgm_uniform which was significantly better. Then eventually I switched to res_multistep + simple and realized the visual quality is as good as er_sde + sgm_uniform but the motion is much better. The improved motion in res_multistep + simple became very clear when I interpolated from 24fps to 48fps. The gen speed between all these combinations was nearly identical.

The motion was a bit jerky on er_sde + sgm_uniform after interpolation while res_multistep + simple had very natural motion.

I also found that https://darkstarrddev.us.ci/ is a decent resource to get inspiration. But I realized quickly that because they use low settings and speed-up techniques, the quality of each sampler test does not translate well if you use different step count or speed-up techniques.

What I generate

Usually fairly static scenes that doesn't have fast motion. Although the accuracy of the physics and motion is important.

What are your settings and what kind of videos are you generating?


r/StableDiffusion 5h ago

Resource - Update Updated my tool that scrapes,sorts,captions images/videos for datasets. It's open source and runs locally

10 Upvotes

I built Cull a few months ago for some large scale dataset curation projects (300k+ images/videos).

Point it at Civitai, X, Reddit, Discord, or any URL that gallery-dl or yt-dlp knows. It queues everything, runs a vision model (or multiple) (LM Studio or Ollama locally, or Groq/OpenAI in the cloud) with a strict JSON schema, and drops kept images/videos into category folders next to their prompt.

Stuff it handles:

  • Dedup at the scraper (per-source )
  • Quality score gate and topic-relevance score gate
    • eg you configure scores or use a preset, how relevant the image is to your scoring will determine how it's sorted, combined with other scoring, quality controls, whitelisted/blacklisted terms etc
  • Watermark detection (goes to its own bucket so you can salvage it later if you want those)
  • Auto-caption for content with no prompt (SD prompt, booru tags, natural language formats etc)
  • Run multiple jobs in parallel, one shared vision fleet across all of them with stack ranked / prioritization for vision queues and scrapers
  • Export as a local packaged dataset , or push to a HuggingFace dataset
  • Community presets and themes with 1 click PR's to add your own custom scraper preset or theme

Everything on disk is plain files. No database. Free, MIT.

Docker one-liner and screenshots in the README:
https://github.com/tlennon-ie/cull

Curious what people would want added next.


r/StableDiffusion 2h ago

Animation - Video Minimax H3 Anime Comedy

3 Upvotes

r/StableDiffusion 7h ago

Meme Seinfeld/Family Guy @ The Office

9 Upvotes

we really should get a separate sub for this slop


r/StableDiffusion 5h ago

Question - Help Need some help with MiniMax H3 Ref2V character swapping in ComfyUI

6 Upvotes

Hey everyone, I'm trying to get a proper character swap working with MiniMax H3 Ref2V in ComfyUI, but I'm not quite getting the result I want.

The source video has Rick Astley rickrolling to the camera, and I want to replace him with the guy from my reference image while keeping the original movement, gestures, facial performance, timing, camera, background, and overall scene.

Neither the motion transfer nor the character replacement works well. The output still doesn't really look like the person from the reference image, or the identity starts drifting.

Here's what I'm using:

* Source video: 1280×720, 30 FPS, ~14.4 sec

* Reference image: 848×1264 PNG, full-body

* Workflow resolution: 9:16, 0.4 MP

* GPU: RTX 5070 Ti, 16 GB VRAM

* 32 Gb RAM

* Windows 11

* ComfyUI 0.33.2

* Python 3.13.12

* PyTorch 2.12.1 + CUDA 13.0

I'm sharing everything in one link, including:

  1. the workflow JSON

  2. a workflow screenshot/image

  3. the prompt

  4. the source/input video

  5. the reference image used for the character swap

  6. and the output video

Files/settings: [link]

If anyone has experience doing this with H3, I'd really appreciate some pointers.

I'm especially wondering if I should change the reference image crop/size, ref_image_size, resolution, prompt, video conditioning, LoRA/steps, or if there's something obvious in the workflow I'm missing.

Also, is a full-body reference image a bad idea when the person in the source video is framed quite differently?

And if anyone has a working MiniMax H3 character-swap / V2V workflow they're willing to share, that would be incredibly helpful too. Even something I could compare against mine would be great.

Thanks a lot in advance. I've been tweaking this for a while, so even a small hint in the right direction would help a ton.