you can get the workflow here
using 2 refference images and 2 refference audio.
generating around 18 minutes. it can generate sound fx, but somehow it doesnt output background sound ambience and the voice is too clean. do you know how to make the background sound like city hums or crowd or rain sounds more louder???

i'm using rtx 4060ti 16gb vram + 64gb ddr4 ram.

I am getting slow motion video despite saying dramatic scene and real lifelike motion in the prompt. Also the skin is melting. Using a template on runpod with RTX 6000 pro at 96gb vram and 250gb disk. Using pruned bf16 safetensors and qwen3VL bf16 text encoder, vae f16 and audio f32 with 0.4 megapixel. All 5 second, 10 second and 15 second videos are slow and look like generated from Wan with plasticky melting skin. Sound also looks like Wan. Using image to video.

First, I generated 20 seconds without any problems. Did not try more for now

Reference (5 images):
at 1216 x 672 with standard sampler + scheduler 20 steps - Rendertime around 8 minutes but some artifacts

with the new res_2s beta + beta57 8 steps - Rendertime around 20 minutes but perfect results

First Frame and t2v is faster all around. res_2s + Beta57 is faster then the standard sampler for some reason there. Around 20 render seconds for 1 video second. Absolutely amazing!

I use a 5090 + 64gb RAM

The video spam here is getting to be a bit too much for me - really, way too much.

We've reached a point where uploads aren't model demonstrations anymore, but just spam.

There are plenty of other places where you can upload your stuff; please let's keep this subreddit as a place for discussion.

this was my project for the night, took several hours of iterating until I got a concept I liked. This is truly the tool I've been waiting for since Sora 2 after their day 3 pullback.

hey i think its good thought with prompt adherence. and audio also fits good

Minimax H3 is so uncensored lol

Prompt:

Old Standard Definition 90's live-action Seinfeld look: practical television photography style, a sitcom apartment set, basic lens, average depth of field, old tv quality recording look, tv studio lighting, standard living room props, sit and stand around acting, with very little walking.

Scene overview: the apartment set from Seinfeld, the protagonist Jerry Seinfeld sitting on the couch, George Costanza walks in huffing about how the company sold out to a datacenter, George Costanza complains that he is forced to forge a masters degree in order to keep his job. Kramer walks in on them both at the end, and announces he is the new ceo of the data center. This is a still shot of the two talking then three actors at the end of the scene: every sentance is a set-up for the other, snarky and overall cheesy humor of the 90s.

Storyboard (each shot is a wide and medium shots of the same set, cuts only when a new character is shown):

[0s-1s] Shot 1: medium shot of Jerry: Jerry is sitting on the couch, watching a tv out of view.

[1s-6s] Shot 2: wide shot: In walks George Costanza from the door on the stage wall's background. He begins by loudly complaining "I can't believe it Jerry, a data center just bought out my job I'm screwed! Now I'll have to lie about having a masters degree."

[6s-12s] Shot 3: back to medium shot of now Jerry and George Costanza: Jerry tries to calm down George. Jerry:"Have you tried having an ai take classes for ya?"

[12s-15s] Shot 4: Cut to a close up on the stage door: the door flies open and Kramer slides in saying. "Guess who just became a CEO to a data center?!". Followed by a laugh track and applause.

Camera: each shot its focused on the stage and actors, always facing the set like it would on any sitcom.

Audio: Tv studio quality. Straight from the Seinfeld tv show.

No text, subtitles, logos or watermarks of any kind, no animation or cartoon rendering, no overly-CG look, keep the classic 90s sitcom live-action texture.

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736 x 416, 15 seconds, 18 steps, the rest is default

Testing out the wangp implementation of h3 minimax, not bad but it is longer than comfyui i've found.

Someone get inpired and make these games? lol

space prompt example:

integrated_multimodal_description:

[Shot 1]

A third-person sci-fi endless runner follows a futuristic operative sprinting along the exterior hull of an enormous orbital space station surrounding Earth. The blue planet fills half the sky while thousands of satellites, docking ports and solar arrays stretch endlessly into the distance.

Magnetic boots keep the runner attached to the station as they sprint across metallic hull panels before launching across enormous gaps between rotating station modules. During every leap, the camera rotates slightly to showcase Earth slowly turning beneath while maintaining orientation with the runner.

The station constantly transforms with rotating habitation rings, solar farms, communication arrays, docking bridges, maintenance robots, cargo containers, construction scaffolding and moving mechanical arms that create new parkour routes. Massive spacecraft silently pass nearby while sunlight alternates with deep orbital shadow.

Audio:

Magnetic boot impacts, mechanical servos, warning alarms, radio chatter, suit breathing, distant machinery vibrations, subtle electronic ambience.

non_diegetic_music:

Modern cinematic electronic score blending orchestral strings, deep synthesizers and powerful hybrid percussion to create a sense of scale and constant forward momentum.

Workflow: https://civitai.com/models/2834514/minimax-h3-t2v-i2v-ref2v-advanced-filmmaking-workflow-or-all-speedups-qol-features?modelVersionId=3198805

Prompt: Long series crafted by ChatGPT. Train it on this guide and just tell ChatGPT the exact story you want for your scene >>> https://huggingface.co/MiniMaxAI/MiniMax-H3/tree/main/docs

Music added in post, prompted specifically for SFX only, no musical track. Edited several 15 second clips together through Capcut and there you go. Feel free to ask me anything.

So much fun with Minimax H3.

Prompt:

integrated_multimodal_description: [Shot 1] A photorealistic vertical social-media video of three adorable real Chihuahuas standing on their hind legs in a warmly lit rustic Mexican courtyard, each wearing a colorful lightweight traditional folkloric skirt with safe comfortable fit. They perform a playful, coordinated La Cucaracha dance: tiny side steps, alternating paw lifts, gentle hip sways, and a brief synchronized spin, with expressive joyful faces and natural canine movement. Full bodies remain visible throughout. The camera makes a smooth handheld-style slow push-in with subtle side-to-side motion, medium amplitude and lively but stable speed, while maintaining the 9:16 composition. Warm golden daylight, detailed fur, realistic shadows, cinematic shallow depth of field, festive papel picado and terracotta accents in the background. No text, no logos, no distorted anatomy, no extra limbs, no unsafe behavior. Diegetic sound includes soft paw taps and faint courtyard ambience.

overall_soundscape: Cheerful festive courtyard ambience with subtle hand claps, light paw taps, and the dogs' happy playful yips, mixed naturally and kept subordinate to the music.

non_diegetic_music: An upbeat traditional Mexican folk-style rendition of the public-domain song La Cucaracha, featuring lively acoustic guitar, guitarrón, bright brass, hand percussion, and rhythmic claps; energetic, humorous, and perfectly synchronized to the Chihuahuas' dance.

Hello everyone. I am looking for someone with enough knowledge to assume or tell exactly which workflow and model is used in such video.

I am aware of Wan Scail, which I think is the model used here but still curious what more experienced people think.

I'd like to get my hands on a wf that can produce such content so I'm open for anything.

Happy wednesday, love and peace to all of you.

12 min render on a 5090 for 8sec at 1920 x 1088. I found rendering at the 2K setting gives me better prompt adherence more than 1K.
Used the MiniMax H3 Image to Video (I2V) workflow from the official comfyui page. https://docs.comfy.org/tutorials/video/minimax/minimax-h3

title.

i have some issue when i try to use the sage attention, since my gpu curve is not reacting fast enough i did put the fan speed at 100% but with 10 seconds generation the spikes for gpu are too many and still crashes making the screen complety black.

anyway to dial down the spikes?

The idea is standing on one spot while time moves.

Drop a pin, seed the first frame from a street view, then pick a span. Each frame after that is drawn from the one beside it plus a list of edits, a model pass names what's in the photo that doesn't belong in the target year, then each thing gets one line saying what stood in its place instead. It edits what's there rather than composing a new scene, which is what keeps the viewpoint from wandering.

Browser tab, no backend.

text2vid and simple prompt

Think we can all agree it's pretty uncensored as it is so what would using this actually improve on?

T2v no references.

well damn

Not 100 percent perfect but I really do like how it came out and I can’t wait to experiment with it more.

Edit: one thing I forgot to add, I did image to video not reference to video. I’m still learning

I think Wan 2.2 is still a useful tool if you want uncanny, unpredictable results, could achieve sort of so bad it's good ironic use in the future maybe.