Viggle/Meridian
video-to-video model by Viggle
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From the publisher
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,…
Read the full model card ↗ · Preview checked 2026-11-04T00:00:32.961Z
Inside the original model card — Document outline
- Meridian: A new perspective on space and time
- See it in motion
- Space and time, independently
- Beyond the frame
- Method
- Model
- Install
- Quickstart
- Self-hosting the demo
- ComfyUI
- Performance
- 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.
Use and evaluate
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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.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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