cerspense/zeroscope_v2_576w

text-to-video model by cerspense

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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…

cerspense/zeroscope_v2_576w on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T22:26:46.141Z

Inside the original model card — Document outline
  1. zeroscopev2 576w
  2. Using it with the 1111 text2video extension
  3. Upscaling recommendations
  4. Usage in 🧨 Diffusers
  5. Known issues

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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.

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Model card and usage instructions

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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.

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