zsxkib
/
wan2.1-with-lora-a100
- Public
- 4 runs
-
A100 (80GB)
Run zsxkib/wan2.1-with-lora-a100 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
|
| image |
string
|
Image to use as a starting frame for image to video generation.
|
|
| 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
(enum)
|
14b
Options: 1.3b, 14b |
The model to use. 1.3b is faster, but 14b is better quality. A LORA either works with 1.3b or 14b, depending on the version it was trained on.
|
| resolution |
string
(enum)
|
480p
Options: 480p, 720p |
The resolution of the video. 720p is not supported for 1.3b.
|
| lora_url |
string
|
Optional: The URL of a LORA to use
|
|
| 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.
|
| fast_mode |
string
(enum)
|
Balanced
Options: Off, Balanced, Fast |
Speed up generation with different levels of acceleration. Faster modes may degrade quality somewhat. The speedup is dependent on the content, so different videos may see different speedups.
|
| 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
|
| sample_guide_scale |
number
|
5
Max: 10 |
Higher guide scale makes prompt adherence better, but can reduce variation
|
| sample_shift |
number
|
8
Max: 10 |
Sample shift factor
|
| seed |
integer
|
Set a seed for reproducibility. Random by default.
|
|
| benchmark |
boolean
|
False
|
Run generation multiple times and report timing statistics
|
| benchmark_runs |
integer
|
10
Min: 1 Max: 100 |
Number of benchmark runs if benchmarking is enabled
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 14,
"description": "Set a seed for reproducibility. Random by default."
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 2,
"description": "Image to use as a starting frame for image to video generation."
},
"model": {
"enum": [
"1.3b",
"14b"
],
"type": "string",
"title": "model",
"description": "The model to use. 1.3b is faster, but 14b is better quality. A LORA either works with 1.3b or 14b, depending on the version it was trained on.",
"default": "14b",
"x-order": 5
},
"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": 4
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Text prompt for video generation"
},
"lora_url": {
"type": "string",
"title": "Lora Url",
"x-order": 7,
"description": "Optional: The URL of a LORA to use"
},
"benchmark": {
"type": "boolean",
"title": "Benchmark",
"default": false,
"x-order": 15,
"description": "Run generation multiple times and report timing statistics"
},
"fast_mode": {
"enum": [
"Off",
"Balanced",
"Fast"
],
"type": "string",
"title": "fast_mode",
"description": "Speed up generation with different levels of acceleration. Faster modes may degrade quality somewhat. The speedup is dependent on the content, so different videos may see different speedups.",
"default": "Balanced",
"x-order": 10
},
"resolution": {
"enum": [
"480p",
"720p"
],
"type": "string",
"title": "resolution",
"description": "The resolution of the video. 720p is not supported for 1.3b.",
"default": "480p",
"x-order": 6
},
"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": 3
},
"sample_shift": {
"type": "number",
"title": "Sample Shift",
"default": 8,
"maximum": 10,
"minimum": 0,
"x-order": 13,
"description": "Sample shift factor"
},
"sample_steps": {
"type": "integer",
"title": "Sample Steps",
"default": 30,
"maximum": 60,
"minimum": 1,
"x-order": 11,
"description": "Number of generation steps. Fewer steps means faster generation, at the expensive of output quality. 30 steps is sufficient for most prompts"
},
"benchmark_runs": {
"type": "integer",
"title": "Benchmark Runs",
"default": 10,
"maximum": 100,
"minimum": 1,
"x-order": 16,
"description": "Number of benchmark runs if benchmarking is enabled"
},
"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": 9,
"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": 12,
"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": 8,
"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"
}