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tiger-ai-lab /anyv2v:25352ada
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 |
|---|---|---|---|
| video |
string
|
Input video
|
|
| instruct_pix2pix_prompt |
string
|
turn man into robot
|
The first step invovles using timbrooks/instruct-pix2pix to edit the first frame. Specify the prompt for editing the first frame.
|
| editing_prompt |
string
|
a man doing exercises for the body and mind
|
Describe the input video
|
| editing_negative_prompt |
string
|
Distorted, discontinuous, Ugly, blurry, low resolution, motionless, static, disfigured, disconnected limbs, Ugly faces, incomplete arms
|
Things not to see int the edited video
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
9
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| pnp_f_t |
number
|
0.2
Max: 1 |
Convolution injection value
|
| pnp_spatial_attn_t |
number
|
0.2
Max: 1 |
Self-Attention injection value
|
| pnp_temp_attn_t |
number
|
0.5
Max: 1 |
Temporal Attention injection value
|
| ddim_init_latents_t_idx |
integer
|
0
|
Index of the starting latent, raning from 0 to (num_inference_steps - 1)
|
| ddim_inversion_steps |
integer
|
500
|
Number of ddim inversion steps
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
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'}