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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
|
A beautiful landscape with mountains and a lake
|
Text prompt for the image generation
|
| negative_prompt |
string
|
low quality, blurry, distorted
|
Text that will not be in the image
|
| width |
integer
|
768
Min: 256 Max: 2048 |
Width of the generated image
|
| height |
integer
|
768
Min: 256 Max: 2048 |
Height of the generated image
|
| steps |
integer
|
30
Min: 10 Max: 100 |
Number of sampling steps
|
| cfg_scale |
number
|
7
Min: 1 Max: 30 |
Classifier-free guidance scale (how strongly the image should follow the prompt)
|
| sampler_name |
None
|
euler
|
Which sampling method to use
|
| scheduler |
None
|
normal
|
Sampler scheduler to use
|
| lora_url |
string
|
|
A URL pointing to a LoRA .safetensors file or a Hugging Face repo ID (e.g. 'user/repo').
|
| lora_strength |
number
|
1
Max: 2 |
Scale/strength for the LoRA.
|
| seed |
integer
|
Set a seed for reproducibility. Random by default.
|
|
| replicate_weights |
string
|
A .tar file containing LoRA weights from replicate.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}