thudm/cogvideox-i2v 🔢🖼️📝 → 🖼️

▶️ 1.1K runs 📅 Sep 2024 ⚙️ Cog 0.9.23 🔗 GitHub 📄 Paper ⚖️ License

image-to-video

About

Image-to-Video Diffusion Models with An Expert Transformer

Example Output

Prompt:

"Starry sky slowly rotating."

Output

Performance Metrics

406.22s Prediction Time

555.34s Total Time

All Input Parameters

{
  "image": "https://replicate.delivery/pbxt/Lf97CMO0Sz0sZ0IuQarZRT8TbcMz4pCurtiLSKWDBPSTMb1S/input.jpg",
  "prompt": "Starry sky slowly rotating.",
  "num_frames": 49,
  "guidance_scale": 6,
  "num_inference_steps": 50
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
image (required) Type: string: Input image
prompt Type: stringDefault: Starry sky slowly rotating.: Input prompt
num_frames Type: integerDefault: 49: Number of frames for the output video
guidance_scale Type: numberDefault: 6Range: 1 - 20: Scale for classifier-free guidance
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

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Version Details

Version ID: 82caaa79520e03b3963c975e38dd68ac8a6b18a8a39c19fd8dc03b4ed4b91c58
Version Created: September 21, 2024

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