georgedavila/cog-ltx-video 🔢📝❓ → 🖼️

▶️ 81 runs 📅 Jan 2025 ⚙️ Cog 0.13.6 🔗 GitHub

text-to-video

Performance

29.9sTypical run time

81Total runs

About

Cog implementation of LTX video from its diffusers pipeline

Example Output

Output

Performance Metrics

29.88s Prediction Time

29.89s Total Time

All Input Parameters

{
  "outFPS": 24,
  "myprompt": "A robot cyborg woman with a shiny metal face and metal facial features smiles at another woman with long blonde hair. The robot cyborg woman with brown hair wears a black jacket and has a metal face. The camera angle is a close-up, focused on the robot cyborg woman's metal face. The lighting is warm and natural, likely from the setting sun, casting a soft glow on the scene. The scene appears to be real-life footage.",
  "outWidth": 768,
  "outHeight": 512,
  "num_frames": 97,
  "num_outputs": 1,
  "guidanceScale": 3,
  "num_inference_steps": 60
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
outFPS Type: integerDefault: 24: Output FPS
myprompt Type: stringDefault: A woman with long brown hair and light skin smiles at another woman with long blonde hair. The woman with brown hair wears a black jacket and has a small, barely noticeable mole on her right cheek. The camera angle is a close-up, focused on the woman with brown hair's face. The lighting is warm and natural, likely from the setting sun, casting a soft glow on the scene. The scene appears to be real-life footage: Input prompt
outWidth Type: integerDefault: 768Range: 128 - 2048: width of output
outHeight Type: integerDefault: 512Range: 128 - 2048: height of output
num_frames Default: 97: Number of images to output.
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of outputs.
guidanceScale Type: numberDefault: 3Range: 1 - 10: Guidance scale (influence of input text on generation)
negative_prompt Type: stringDefault: watermark, text, deformed, worst quality, inconsistent motion, blurry, jittery, distorted: Negative Prompt
decodeTimestepParam Type: numberDefault: 0.03Range: 0.005 - 1: decodeTimestepParam
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps
decodeNoiseScaleParam Type: numberDefault: 0.025Range: 0.0005 - 1: decodeNoiseScaleParam

Output Schema

Output

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

Example Execution Logs

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Version Details

Version ID: fb52121156741fe3d012e22e723042d260fe27c2b1705e9f09ec7ac64d61827b
Version Created: January 10, 2025

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