Instructions to use Viggle/Meridian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Viggle/Meridian with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Viggle/Meridian", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Docs: the two-adapter layout
Browse files- docs/release_checklist.md +16 -8
docs/release_checklist.md
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# Release
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##
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- Public-use clearance, including for the NBA footage and figures, remains pending. The presentation
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examples are research previews; retain source credits and edit records before choosing publication assets.
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- Confirm and upload the intended transformer and LoRA weights before calling the model download complete.
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The old `Viggle/Viggle-Recam` identifier was inaccessible during verification; do not restore it as a working download.
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- Low-memory configurations, including RTX 4090, are community integration targets, not validated support.
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- Fast point-cloud preview helps inspect an authored path; it does not guarantee generated-view fidelity.
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- Keep source-time labels accurate when comparing live, retimed, and held sequences.
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- Verify the reported timing against a retained run log before publishing it as a headline result.
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- Do not add a speedup ratio, quality comparison, ablation, or metric without supporting results.
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- Upload referenced presentation media with the Markdown; keep the private Hub snapshot separate from public-use clearance. The legacy push_docs.py targets a different repository.
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## Retained provenance
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# Release checklist
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`Viggle/Meridian` has been public since 2026-09-15. The 2026-09-18 update replaced the first
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release's fused transformer with two LoRA adapters; the original weights remain under `legacy/`.
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This page records what shipped and which checks are still open.
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## Settled
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- **Weights are uploaded.** `teacher_lora/` is the re-camera adapter on the unmodified MiniMax-H3
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transformer; `turbo_lora/` is the DMD student distilled against it. `legacy/transformer/` and
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`legacy/lora/` are the first release, kept so earlier results stay reproducible.
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- **The Hub destination is `Viggle/Meridian`.** The older `Viggle/Viggle-Recam` identifier was never
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a working download and must not be restored as one.
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- Uploads go through the release directory's own `push.py`, which uses allow-patterns only. The
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archived `push_docs.py` targets a different repository and is not a current uploader.
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## Still open
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- Public-use clearance, including for the NBA footage and figures, remains pending. The presentation
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examples are research previews; retain source credits and edit records before choosing publication assets.
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- Low-memory configurations, including RTX 4090, are community integration targets, not validated support.
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- Fast point-cloud preview helps inspect an authored path; it does not guarantee generated-view fidelity.
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- Keep source-time labels accurate when comparing live, retimed, and held sequences.
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- Verify the reported timing against a retained run log before publishing it as a headline result.
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- Do not add a speedup ratio, quality comparison, ablation, or metric without supporting results.
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- Upload referenced presentation media with the Markdown.
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## Retained provenance
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