georgedavila / chdif17
test - still a work in progress
- Public
- 5 runs
-
L40S
Run georgedavila/chdif17 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 |
---|---|---|---|
myprompt |
string
|
A golden retriever plays basketball, realistic style. UHD, 8k uhd, best quality, high quality.
|
Input prompt - llama embedding
|
outWidth |
integer
|
854
Min: 128 Max: 2048 |
width of output
|
outHeight |
integer
|
480
Min: 128 Max: 2048 |
height of output
|
guidanceScale |
number
|
6
Max: 20 |
Guidance scale (influence of input text on generation)
|
num_frames |
integer
|
129
|
Number of frames to generate (must be 4k+1, ex: 49 or 129).
|
num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of outputs.
|
num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
outFPS |
integer
|
24
|
Output FPS
|
seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 8,
"description": "Random seed. Leave blank to randomize the seed"
},
"outFPS": {
"type": "integer",
"title": "Outfps",
"default": 24,
"x-order": 7,
"description": "Output FPS"
},
"myprompt": {
"type": "string",
"title": "Myprompt",
"default": "A golden retriever plays basketball, realistic style. UHD, 8k uhd, best quality, high quality.",
"x-order": 0,
"description": "Input prompt - llama embedding"
},
"outWidth": {
"type": "integer",
"title": "Outwidth",
"default": 854,
"maximum": 2048,
"minimum": 128,
"x-order": 1,
"description": "width of output"
},
"outHeight": {
"type": "integer",
"title": "Outheight",
"default": 480,
"maximum": 2048,
"minimum": 128,
"x-order": 2,
"description": "height of output"
},
"num_frames": {
"type": "integer",
"title": "Num Frames",
"default": 129,
"x-order": 4,
"description": "Number of frames to generate (must be 4k+1, ex: 49 or 129)."
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 5,
"description": "Number of outputs."
},
"guidanceScale": {
"type": "number",
"title": "Guidancescale",
"default": 6,
"maximum": 20,
"minimum": 0,
"x-order": 3,
"description": "Guidance scale (influence of input text on generation)"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 50,
"maximum": 500,
"minimum": 1,
"x-order": 6,
"description": "Number of denoising steps"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output"
}