cerspense/zeroscope_v2_576w
text-to-video model by cerspense
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From the publisher
Model card & documentation
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A watermark-free Modelscope-based video model optimized for producing high-quality 16:9 compositions and a smooth video output. This model was trained from the original weights using 9,923 clips and 29,769 tagged frames at 24 frames, 576x320 resolution. zeroscopev2567w is specifically designed for upscaling with zeroscopev2XL using vid2vid in the 1111 text2video extension by kabachuha. Leveraging this model as a preliminary step allows for superior overall compositions at higher resolutions in zeroscopev2XL, permitting faster exploration in 576x320 before transitioning to a high-resolution render. See some example outputs that have been upscaled to 1024x576 using zeroscopev2XL. (courtesy of dotsimulate) zeroscopev2576w uses 7.9gb of vram when rendering 30 frames at 576x320 For…
Read the full model card ↗ · Preview checked 2026-10-28T22:26:46.141Z
Inside the original model card — Document outline
- zeroscopev2 576w
- Using it with the 1111 text2video extension
- Upscaling recommendations
- Usage in 🧨 Diffusers
- Known issues
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Documentation belongs to its respective authors. Reported project/model license: cc-by-nc-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
cerspense/zeroscope_v2_576w is a text-to-video model repository published by cerspense 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
- text-to-video
- Library
- diffusers
- Recent downloads (30 days)
- 2,665
- Cumulative likes
- 493
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2023-06-21T19:10:41.000Z
- Last modified
- 2023-07-01T07:24:16.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-27T06:38:51.097Z. 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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