Short answer: this is our own MiniMax H3 image-to-video build. It adds a LightX2V 4-step Turbo LoRA at strength 0.5, a 6-step beta schedule with 3 extra low-noise steps, the Euler sampler and a live preview. It renders 5 seconds at 1216 × 672 and 24 fps by default. As shipped, the files total about 55.1 GB (about 44.5 GB with the standard text encoder). The MiniMax H3 weights use the MiniMax H3 Community License Agreement, which has conditions.

Output example

This workflow was run on a PC with an RTX 3090. We downloaded the saved output and inspected sampled video frames. It is one prompt and seed, not a general quality benchmark.

Coherent cup and saucer remain on the walnut table while the camera visibly pulls back, revealing more rainy window and tabletop. Steam curls and droplets change across the clip; warm amber reflections remain consistent. No gross object deformation or cuts in one-second samples. Audio stream present, not listened.

Audio stream checks confirm technical presence only. We have not verified sound quality, speech accuracy or lip sync by listening.

Input references

Input reference 1: Original synthetic Pika H3 Flex scene generated in this batch
Input reference 1.

Original synthetic Pika H3 Flex scene generated in this batch. FFmpeg extraction of first decoded frame; no real identity, logo or external source recording.

Prompt used for this example
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] Photorealistic macro product cinematography of the cobalt-blue ceramic tea cup on a walnut table beside a rainy window. Rain trickles down the window as steam rises gently from the blue cup. The camera slowly pulls back with small amplitude, revealing a little more of the dark walnut tabletop while maintaining the warm side light. The cup remains planted on the tabletop, its handle and rim keep the same shape, and no liquid spills. Preserve the framing relationship and warm lighting of the source. End with the camera still moving very gently. One continuous shot, no cuts, no people or lettering.

overall_soundscape: Rain tapping gently on window glass, quiet indoor room tone and faint distant street noise. No speech.

non_diegetic_music: N/A

Observed limits: One fixture does not exercise optional inputs or establish general reliability. Audio stream presence does not establish speech accuracy, sound quality or lip sync.

Inside the MiniMax H3 Turbo subgraph in ComfyUI: a Models group with Load Diffusion Model, a Turbo LoRA node at strength 0.50, Load CLIP and two VAE loaders, a Sampling group with the KJNodes Sampler Preview, BetaSamplingScheduler at 6 steps, ExtendIntermediateSigmas, Basic Guider, KSamplerSelect set to euler and SamplerCustomAdvanced, and a VAE Decode group with Create Video
Inside the subgraph. Note the Turbo LoRA under the diffusion model, the two sigma nodes in place of BasicScheduler, and the Sampler Preview panel that shows frames while sampling.

Download and load the workflow

Download workflow (JSON)

Drag the downloaded JSON file onto the ComfyUI canvas to load it.

Install the model files and any custom nodes listed below. If the workflow uses input images, video or audio, select your own files in the input nodes before running it.

Which files go where

PartFileSizeFolder
Diffusion modelminimax_h3_fl2va_pruned_int8_convrot.safetensors20.97 GBmodels/diffusion_models
Text encoder (community build)qwen3vl_32b_h3_ultra_uncensored_heretic_int8_convrot.safetensors26.36 GBmodels/text_encoders
Text encoder (standard alternative)qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors15.69 GBmodels/text_encoders
Turbo LoRAminimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy.safetensors1.96 GBmodels/loras
Video VAEminimax_h3_video_vae_fp16.safetensors5.21 GBmodels/vae
Audio VAEminimax_h3_audio_vae_fp32.safetensors0.61 GBmodels/vae
Preview decoder (optional)taeh3.safetensors0.02 GBmodels/vae_approx

You need one text encoder, not both. Our build loads a community-made INT8 build of the Qwen3-VL-32B encoder. The standard encoder used by the other MiniMax H3 workflows is a drop-in alternative: select it in Load CLIP and keep the type set to minimax. Totals: about 55.1 GB with the community encoder, about 44.5 GB with the standard one. None of these repositories is gated.

We found the Turbo LoRA link ourselves; it is Kijai's ComfyUI copy of LightX2V's v0.1 file. Newer official versions are in lightx2v/Minimax-h3-Turbo, for example minimax_h3_fl2v_turbo_4step_v1.3_768p_comfyui_bf16.safetensors. The taeh3 file only drives the live preview; it does not change the video.

Custom nodes: install comfyui-kjnodes from ComfyUI Manager (Custom Nodes Manager, search "KJNodes"), then restart.

Settings in this workflow

SettingValue
Turbo LoRA strength0.5
Beta schedule6 steps, alpha 0.79, beta 0.5
Extra steps3, from sigma 0.8 to 0, linear spacing
Sampler / guidereuler / Basic Guider (no CFG value)
Resolution16:9 at 0.8 megapixels (1216 × 672)
Duration5 seconds (124 frames), 24 fps
Live previewMax 1024 px, JPEG quality 92, 120 frames at 5 fps, default preview hidden
OutputMP4, H.264, prefix video/MiniMax_H3-Turbo

How to use it

  1. Choose your picture in Load First Frame.
  2. Set the aspect ratio and megapixels in Resolution Selector, and the length in Duration (Seconds).
  3. Write the prompt in the subgraph. Start with <Picture 1>, then describe the camera, the motion and the sound.
  4. Run it. Watch the Sampler Preview panel inside the subgraph to check the motion early.

What to change first

The LoRA name says 4 steps, but our build runs it at half strength on a 6-step beta schedule plus 3 extra low-noise steps. If you swap in a newer LoRA from LightX2V, keep everything else the same and change one value at a time: LoRA strength first, then the beta step count.

Licence

The Comfy-Org/MiniMax-H3 repository lists the MiniMax H3 Community License Agreement. It has conditions: read it before commercial use. The community text encoder repository lists Apache-2.0, and taeh3 lists MIT, but the MiniMax H3 terms still apply to the model. The Turbo LoRA repository lists no licence. See our licence tracker.

Troubleshooting

ProblemLikely causeFix
Model Preview Override is missingKJNodes is not installedInstall comfyui-kjnodes and restart, or delete the preview node.
Preview shows nothing usefultaeh3.safetensors is missingPut it in models/vae_approx. The video is not affected.
Text encoder file not foundYou downloaded the standard encoderSelect qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors in Load CLIP.
Out-of-memory or disk space errorsThe 26 GB community encoderUse the 15.69 GB standard encoder, or lower the megapixels.

Where to go next

FAQ

Is MiniMax H3 Turbo an official template?

No. It is our edit of the MiniMax H3: Image to Video template, with a Turbo LoRA and a shorter schedule.

Do I need the community text encoder?

No. The standard Comfy-Org encoder is a drop-in alternative and is about 10 GB smaller.

Does the live preview change the result?

No. It only shows frames while the sampler runs.

Sources