wcarle/stable-diffusion-videos-mo-di 🔢📝❓ → 🖼️

▶️ 2.8K runs 📅 Apr 2023 ⚙️ Cog 0.6.1 🔗 GitHub ⚖️ License

disney-style text-to-video

About

Generate videos by interpolating the latent space of Stable Diffusion using the Mo-Di Diffusion Model

Example Output

Output

Performance Metrics

441.01s Prediction Time

641.57s Total Time

All Input Parameters

{
  "fps": 15,
  "seeds": "1 | 2",
  "prompts": "  modern disney (kitty cat) | modern disney (puppy dog)",
  "num_steps": 100,
  "scheduler": "klms",
  "guidance_scale": 7.5,
  "num_inference_steps": 50
}

Input Parameters

fps Type: integerDefault: 15Range: 5 - 60: Frame rate for the video.
seeds Type: string: Random seed, separated with '|' to use different seeds for each of the prompt provided above. Leave blank to randomize the seed.
prompts Type: stringDefault: a cat | a dog | a horse: Input prompts, separate each prompt with '|'.
num_steps Type: integerDefault: 50: Steps for generating the interpolation video. Recommended to set to 3 or 5 for testing, then up it to 60-200 for better results.
scheduler Default: klms: Choose the scheduler
guidance_scale Type: numberDefault: 7.5Range: 1 - 20: Scale for classifier-free guidance
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps for each image generated from the prompt

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

Setting Random seeds.
Seeds used for prompts are:
modern disney (kitty cat): 1
modern disney (puppy dog): 2
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Version Details

Version ID: 5c3d74439416de290f1d1c9b379c5364c131e69a2823c26a63f2a88fa95f3204
Version Created: April 2, 2023

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