georgedavila/cog-ltx-video 🔢📝❓ → 🖼️

▶️ 81 runs 📅 Jan 2025 ⚙️ Cog 0.13.6 🔗 GitHub

text-to-video

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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