anotherjesse/zeroscope-v2-xl 🔢❓📝🖼️✓ → 🖼️

▶️ 295.1K runs 📅 Jun 2023 ⚙️ Cog v0.8.0-beta7+dev 🔗 GitHub 📄 Paper ⚖️ License

text-to-video video-to-video video-upscaling

About

Zeroscope V2 XL & 576w

Example Output

Prompt:

"Clown fish swimming in a coral reef, beautiful, 8k, perfect, award winning, national geographic"

Output

Performance Metrics

88.37s Prediction Time

226.60s Total Time

All Input Parameters

{
  "fps": 24,
  "fast": false,
  "width": 1024,
  "height": 576,
  "prompt": "Clown fish swimming in a coral reef, beautiful, 8k, perfect, award winning, national geographic",
  "num_frames": 24,
  "guidance_scale": 17.5,
  "negative_prompt": "very blue, dust, noisy, washed out, ugly, distorted, broken",
  "num_inference_steps": 50
}

Input Parameters

fps Type: integerDefault: 8: fps for the output video
seed Type: integerDefault: null: Random seed. Leave blank to randomize the seed
model Default: xl: Model to use
width Type: integerDefault: 576Range: 256 - ∞: Width of the output video
height Type: integerDefault: 320Range: 256 - ∞: Height of the output video
prompt Type: stringDefault: An astronaut riding a horse: Input prompt
batch_size Type: integerDefault: 1Range: 1 - ∞: Batch size
init_video Type: stringDefault: null: URL of the initial video (optional)
num_frames Type: integerDefault: 24: Number of frames for the output video
init_weight Type: numberDefault: 0.5: Strength of init_video
guidance_scale Type: numberDefault: 7.5Range: 1 - 100: Guidance scale
negative_prompt Type: stringDefault: null: Negative prompt
remove_watermark Type: booleanDefault: false: Remove watermark
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

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Version Details

Version ID: 9f747673945c62801b13b84701c783929c0ee784e4748ec062204894dda1a351
Version Created: July 20, 2023

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