r/LovingAIVisuals

https://x.com/krea_ai/status/2089766521912561688

Made this as a fan-made TNG scene using MiniMax H3 in ComfyUI.

The part that really struck me is that we’re already at the point where you can create convincing new scenes from shows you grew up with and even put yourself into them.

The next big step is consistency over much longer runtimes. That’s the bit that feels like it could eventually turn this from individual scenes into full episodes.

The above video consists of 7 individual Minimax H3 clips generated in First-Frame-Last-Frame Mode, stitched together automatically without manual editing, upscaling or other post-processing.

Today I decided to release my experimental H3 Infinite Continuation Suite together with a set of workflows to make it easy to get started in ComfyUI.

The original idea was to combine the higher visual quality and keyframe control of H3's First Frame / Last Frame mode with the continuation capabilities of the Reference mode.

After quite a lot of experimenting, the output quality has reached a point where I hope some of you might find the nodes and workflows useful as well.

The example video was generated entirely with the included workflows at 736 × 1280, using 15 steps and no Turbo LoRA. I did cut a few seconds of nonsense speech from the very end because I was too lazy to regenerate the last clip. :D

How to get started

1. Install Herrgotts H3 Infinite Continuation Suite through the ComfyUI Manager.

2. Download the included workflows from GitHub.

3. Start with the `01_Start` workflow and provide your First Frame + Last Frame.

4. For every additional segment, use `02_Continue` and provide a new Last Frame for where you want the next clip to end.

5. Repeat for as many clips as you want.

6. When you're done, use `04_Stitch_Saved_Chain` to automatically combine the separately generated clips into the final video.

If you prefer to generate multiple chained clips in one workflow, use the included 3-Clip workflow. It contains the full continuation setup and is structured so you can extend it with additional clips without rebuilding the whole graph from scratch.

What the nodes handle automatically

• carrying motion and native audio into the next clip
• detecting and removing the frozen tail H3 often creates near the final keyframe
• choosing a suitable handover point between generations
• keeping the video and audio aligned
• smoothing the visual and audio transitions
• saving the individual clips so longer chains can be stitched afterwards without keeping everything in memory (no OOM, hopefully)

For the video above I used the default/recommended settings:

• Balanced Auto Handover
• 22 context frames
• Safe Tail Bridge: 2 frames
• Video crossfade: 4 frames
• Audio de-click: 15 ms

There are still occasional tiny brightness differences around some boundaries, but at this point I personally find them pretty difficult to notice during normal playback.

The pack is still experimental, especially when it comes to very long chains, different hardware configurations and prompt behavior. So if you try it, I'd be very interested in seeing your results and hearing what works or doesn't work for you.

GitHub: https://github.com/HerrgottMargott/Herrgotts-H3-Infinite-Continuation-Suite

ComfyUI Manager: search for `Herrgotts H3 Infinite Continuation Suite` or use "missing custom nodes" in one of the example Workflows.

I noticed my videos consistently having issues with right and left, because my prompts saw direction from the perspective of the person. But H3 always sees direction from the perspective of the camera.

See how the woman points to her left while saying "right" and vice versa.

prompt: woman pointing to the right and saying "right". Then she moves her hand to point to the left and says "left".

HI everyone,
Today we got release of LTX 2.5, so lets compare with more advance scenes along side Minimax H3.

3 videos in order - same PROMPT (with <Shot 1>...<Shot 2>)

1. LTX 2.5 1-stage (8 step distilled INT8)
2. LTX 2.5 2-stage (8 step + 3 step upscaler default ComfyUI template distilled Int8)
3. Minimax H3

We can definitely say, LTX is upgraded (more detailed textures vs LTX 2.3...lots of snow, snow slush etc), is it better then H3? Judge yourself ;)
cheers

Here we go PROMPT:
[Shot 1] Handheld selfie-style video shot on a smartphone at 60fps, capturing a bleak, emotional scene under the harsh fluorescent lights of a drafty, concrete train station concourse. A young, strikingly beautiful girl—around eighteen years old—sits slumped against a cold tiled wall in a corner. She holds the smartphone in a trembling right hand, filming herself and her surroundings. She wears a thin, threadbare denim jacket covered in dark grease stains and road salt, a stretched-out oversized sweater torn at the collar, and frayed canvas pants soaked with melting slush at the cuffs. Clustered beside her in the freezing draft is an old German Shepherd with a matted, dirt-streaked coat, shivering against her knee. Heavy snow and howling wind blur through the open station doors behind them. Tears stream down her smudge-streaked cheeks as she speaks into the phone in a quiet, trembling voice: <d>[English with a soft, heartbroken voice] It's so cold tonight... please, nobody even looks at us... we just need a little food...</d>. At 00:05:500 Cut to [Shot 2] Low-angle handheld shot from her perspective on the floor. Commuters in thick, clean winter coats and boots hurry past her in a fast blur, heads turned away, completely ignoring her outstretched, gloveless left hand. Her breath forms dense white clouds in the freezing air. The German Shepherd lets out a soft, whimpering whine and rests its heavy head on her lap. She wipes a tear from her nose with her sleeve, her voice cracking with desperation: <d>[English with choked, sobbing breaths] Please... just a piece of bread for him... anything...</d>. At 00:11:000 Cut to [Shot 3] Upward camera angle as a middle-aged man in a dark wool overcoat and scarf suddenly stops in front of her. His boots come to a halt in the wet slush beside her dog. He crouches down to her eye level, looking at her and the shivering German Shepherd with genuine concern and warmth. He gently reaches into his coat pocket, pulling out a warm paper bag from a bakery and a thermal travel mug, speaking in a gentle, compassionate voice: <d>[English with a warm, caring tone] Hey... hey, don't cry. Here, take this—it's hot soup and fresh bread. Are you okay?</d>. At 00:16:000 Cut to [Shot 4] Close emotional selfie framing as her eyes widen in tearful disbelief. She hugs the warm paper bag to her chest with both hands, tears pouring down her face as she smiles through her sobs, looking up at the man and then into the camera lens: <d>[English with a tearful, weeping whisper] Thank you... oh god, thank you so much... bless you...</d>. The German Shepherd gently licks her cold hand as the man reaches out to pet the dog's head, cutting the video to black on a powerful, dramatic note at 00:20:000, overall_soundscape: Howling blizzard winds outside open station doors, heavy footsteps echoing on wet tile floors, distant train arrival announcements, shivering whimpers from the dog, and her quiet, heartbreaking sobs, non_diegetic_music: Soft, somber cinematic violin pads fading in subtly under the diegetic audio to heighten the emotional drama