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daanelson /test-flux-train:b1b150b2
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
|
Prompt for generated image
|
|
| aspect_ratio |
None
|
1:1
|
Aspect ratio for the generated image
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| lora_scale |
number
|
1
Min: -1 Max: 2 |
Determines how strongly the LoRA should be applied. Sane results between 0 and 1.
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Number of inference steps
|
| model |
None
|
dev
|
Which model to run inferences with. The dev model needs around 28 steps but the schnell model only needs around 4 steps.
|
| guidance_scale |
number
|
3.5
Max: 10 |
Guidance scale for the diffusion process
|
| seed |
integer
|
Random seed. Set for reproducible generation
|
|
| output_format |
None
|
webp
|
Format of the output images
|
| output_quality |
integer
|
80
Max: 100 |
Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
|
| replicate_weights |
string
|
Replicate LoRA weights to use. Leave blank to use the default weights.
|
|
| disable_safety_checker |
boolean
|
False
|
Disable safety checker for generated images.
|
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'}