Viggle/Meridian

video-to-video model by Viggle

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Model card & documentation

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By Viggle AI · built on MiniMax-H3 · geometry by VGGT-Omega One event. Anywhere. Anytime. Meridian is a geometry-guided video model for authoring new observations of existing events. Revisit a recorded event from a new viewpoint. Let the action unfold, slow it down, or hold a moment still—all while moving the camera along a path you choose. You can also create a camera move from a single image. Quickstart · Method 51-second teaser The motocross example includes the original video and a diagram of the planned camera path. The ballet example uses a single photograph. The NBA edit labels the parts taken from the original footage. Bullet time is one combination—not the boundary of the model. To slow down or speed up the action, retime the input video first. Then design the camera path over that timeline. A camera's position shapes how an event is seen: what draws our attention,…

Viggle/Meridian on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-04T00:00:32.961Z

Inside the original model card — Document outline
  1. Meridian: A new perspective on space and time
  2. See it in motion
  3. Space and time, independently
  4. Beyond the frame
  5. Method
  6. Model
  7. Install
  8. Quickstart
  9. Self-hosting the demo
  10. ComfyUI
  11. Performance
  12. Limitations

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Model overview

Viggle/Meridian is a video-to-video model repository published by Viggle on Hugging Face. The source reports the diffusers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
video-to-video
Library
diffusers
Recent downloads (30 days)
0
Cumulative likes
82
Hugging Face trending score
57
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-09-14T15:07:00.000Z
Last modified
2026-09-19T01:42:05.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: MiniMaxAI/MiniMax-H3

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-26T06:37:43.835Z. Daily imports are snapshots, not real-time monitoring.

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