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wcarle /text2video-zero:41f6928e
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
a cat
|
Input prompt.
|
| negative_prompt |
string
|
|
Negative prompt.
|
| seed |
string
|
Leave blank to randomize the seed.
|
|
| chunk_size |
integer
|
8
Min: 1 Max: 10 |
Chunk size: Number of frames processed at once. Reduce for lower memory usage.
|
| motion_field_strength_x |
integer
|
12
Min: -20 Max: 20 |
Global Translation $\delta_{x}$
|
| motion_field_strength_y |
integer
|
12
Min: -20 Max: 20 |
Global Translation $\delta_{y}$
|
| t0 |
integer
|
44
Min: 1 Max: 50 |
Timestep t0: Perform DDPM steps from t0 to t1. The larger the gap between t0 and t1, the more variance between the frames. Ensure t0 < t1
|
| t1 |
integer
|
47
Min: 1 Max: 50 |
Timestep t1: Perform DDPM steps from t0 to t1. The larger the gap between t0 and t1, the more variance between the frames. Ensure t0 < t1
|
| merging_ratio |
number
|
0
Max: 0.9 |
Ratio of how many tokens are merged. The higher the more compression (less memory and faster inference).
|
| resolution |
integer
|
512
|
Resolution of the video (square)
|
| video_length |
integer
|
8
|
Number of frames in the video
|
| fps |
integer
|
15
Min: 5 Max: 60 |
Frame rate for the video.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}