replicate
/
diffusionpipe-wan-fine-tuner-internal-test-dest
- Public
- 2 runs
Run replicate/diffusionpipe-wan-fine-tuner-internal-test-dest with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
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
|
Text prompt for video generation
|
|
| negative_prompt |
string
|
|
Things you do not want to see in your video
|
| aspect_ratio |
string
(enum)
|
16:9
Options: 16:9, 9:16, 1:1 |
The aspect ratio of the video. 16:9, 9:16, 1:1, etc.
|
| frames |
integer
(enum)
|
81
Options: 17, 33, 49, 65, 81 |
The number of frames to generate (1 to 5 seconds)
|
| model |
string
|
1.3b
|
None
|
| lora_strength_model |
number
|
1
|
Strength of the LORA applied to the model. 0.0 is no LORA.
|
| lora_strength_clip |
number
|
1
|
Strength of the LORA applied to the CLIP model. 0.0 is no LORA.
|
| sample_shift |
number
|
8
Max: 10 |
Sample shift factor
|
| sample_guide_scale |
number
|
5
Max: 10 |
Higher guide scale makes prompt adherence better, but can reduce variation
|
| sample_steps |
integer
|
30
Min: 1 Max: 60 |
Number of generation steps. Fewer steps means faster generation, at the expensive of output quality. 30 steps is sufficient for most prompts
|
| seed |
integer
|
Set a seed for reproducibility. Random by default.
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 10,
"description": "Set a seed for reproducibility. Random by default."
},
"model": {
"type": "string",
"title": "Model",
"default": "1.3b",
"x-order": 4
},
"frames": {
"enum": [
17,
33,
49,
65,
81
],
"type": "integer",
"title": "frames",
"description": "The number of frames to generate (1 to 5 seconds)",
"default": 81,
"x-order": 3
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Text prompt for video generation"
},
"aspect_ratio": {
"enum": [
"16:9",
"9:16",
"1:1"
],
"type": "string",
"title": "aspect_ratio",
"description": "The aspect ratio of the video. 16:9, 9:16, 1:1, etc.",
"default": "16:9",
"x-order": 2
},
"sample_shift": {
"type": "number",
"title": "Sample Shift",
"default": 8,
"maximum": 10,
"minimum": 0,
"x-order": 7,
"description": "Sample shift factor"
},
"sample_steps": {
"type": "integer",
"title": "Sample Steps",
"default": 30,
"maximum": 60,
"minimum": 1,
"x-order": 9,
"description": "Number of generation steps. Fewer steps means faster generation, at the expensive of output quality. 30 steps is sufficient for most prompts"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "",
"x-order": 1,
"description": "Things you do not want to see in your video"
},
"lora_strength_clip": {
"type": "number",
"title": "Lora Strength Clip",
"default": 1,
"x-order": 6,
"description": "Strength of the LORA applied to the CLIP model. 0.0 is no LORA."
},
"sample_guide_scale": {
"type": "number",
"title": "Sample Guide Scale",
"default": 5,
"maximum": 10,
"minimum": 0,
"x-order": 8,
"description": "Higher guide scale makes prompt adherence better, but can reduce variation"
},
"lora_strength_model": {
"type": "number",
"title": "Lora Strength Model",
"default": 1,
"x-order": 5,
"description": "Strength of the LORA applied to the model. 0.0 is no LORA."
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output"
}