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georgedavila /sdxl-beethoven-spectrograms-lora:edc39cbb
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 SPECTROGRAM image
|
Input prompt (SPECTROGRAM is the style trigger word)
|
| promptAddendum |
string
|
|
Extra terms to add to end of prompt
|
| negative_prompt |
string
|
fuzzy, lone pixels
|
Negative Prompt
|
| outWidth |
integer
|
1024
Min: 128 Max: 4096 |
width of output
|
| outHeight |
integer
|
1024
Min: 128 Max: 4096 |
height of output
|
| guidanceScale |
number
|
7.5
Max: 50 |
Guidance scale (influence of input text on generation)
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| high_noise_frac |
number
|
0.8
Max: 1 |
For expert_ensemble_refiner, the fraction of noise to use
|
| refine_steps |
integer
|
For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
|
|
| lora_scale |
number
|
0.6
Max: 1 |
LoRA additive scale. Only applicable on trained models.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}