camenduru/dynami-crafter-576x1024 🔢📝🖼️ → 🖼️
About
Create a video from an image
Example Output
Output
Performance Metrics
228.04s
Prediction Time
456.78s
Total Time
All Input Parameters
{ "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" }
Input Parameters
- i2v_eta
- ETA
- i2v_seed
- Random Seed
- i2v_steps
- Sampling steps
- i2v_motion
- Motion magnitude
- i2v_cfg_scale
- CFG Scale
- i2v_input_text
- i2v_input_image (required)
- Input image
Output Schema
Output
Example Execution Logs
Seed set to 123 start: rocket launches 2024-02-06 03:52:52 /root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). warnings.warn(
Version Details
- Version ID
e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1
- Version Created
- February 5, 2024