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datong-new /qwenimage:af19eff7
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 |
|---|---|---|---|
| output_format |
None
|
webp
|
Output image format
|
| seed |
integer
|
Random seed for reproducible generation. Leave blank for random.
|
|
| width |
integer
|
512
Min: 512 Max: 2048 |
width
|
| height |
integer
|
512
Min: 512 Max: 2048 |
height
|
| prompt |
string
|
Text description of what you want to generate, or the instruction on how to edit the given image.
|
|
| hf_loras |
array
|
Huggingface path, or URL to the LoRA weights. Ex: alvdansen/frosting_lane_flux
|
|
| lora_scales |
array
|
Scale for the LoRA weights. Default value is 0.8
|
|
| true_cfg_scale |
number
|
2.5
Max: 10 |
Guidance scale for generation
|
| negative_prompt |
string
|
Text description of what you do not want to generate, or the instruction on how to edit the given image.
|
|
| num_inference_steps |
integer
|
28
Min: 4 Max: 50 |
Number of inference steps
|
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'}