Viggle/Viggle-Animate
video-to-video model by Viggle
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Try the demo · Research write-up · ComfyUI nodes · viggle.ai/h3 · Built on MiniMaxAI/MiniMax-H3 Made with Viggle-Animate by @cocktailpeanut, not by us. Click through to watch it on X. White House Funk: a preview of Viggle-Animate v2, coming soon. Not made with the weights in this repository. The cast of a two-minute music video replaced through its fast cuts, from at most one repainted frame per shot. AI-generated parody: the people shown did not take part in, approve or endorse it. Viggle-Animate replaces the character in a video with whatever you paint into one of its own frames — motion, camera and timing untouched. You prepare that one frame in an image editor; from there the video stage runs no pose estimator, segmenter, face tracker or text encoder. Two inputs, three forward passes, 26 seconds a shot on one GPU. It is strongest where replacement is hardest: fast motion,…
Read the full model card ↗ · Preview checked 2026-10-30T16:22:55.445Z
Inside the original model card — Document outline
- Viggle-Animate
- Character Replacement in Video from a Single Repainted Frame
- Abstract
- Method
- Efficiency
- Qualitative comparison
- Generalization
- Limitations
- What this repository contains
- Quickstart
- Citation
- License
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Viggle/Viggle-Animate 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
- 238
- Hugging Face trending score
- 66
- Reported safetensors parameters
- 33,122,992,896
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-08-31T20:14:28.000Z
- Last modified
- 2026-09-09T08:48:53.000Z
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-18T06:35:08.044Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
akatz-ai/MiniMax-H3-Character-Swap-LoRA
Lightricks/LTX-2.5-22b-IC-LoRA-Alpha-Gen
Lightricks/LTX-2.5-22b-IC-LoRA-Layout-To-Render
Lightricks/LTX-2.5-22b-IC-LoRA-Restore