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prunaai /flux.1-dev-lora:19048f65
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 of the output image
|
| image |
string
|
Input image for image to image mode. The aspect ratio of your output will match this image
|
|
| prompt_strength |
number
|
0.8
Max: 1 |
Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of outputs to generate
|
| num_inference_steps |
integer
|
28
|
Number of denoising steps. Recommended range is 28-50, and lower number of steps produce lower quality outputs, faster.
|
| guidance |
number
|
3
Max: 10 |
Guidance for generated image
|
| seed |
integer
|
Random seed. Set for reproducible generation
|
|
| output_format |
None
|
jpg
|
Format of the output images
|
| output_quality |
integer
|
80
Min: 1 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
|
| speed_mode |
None
|
Juiced 🧃
|
Speed optimization level
|
| lora |
string
|
Load LoRA weights. Supports HuggingFace URLs in the format <owner>/<model-name>[/<lora-weights-file.safetensors>]. For example, 'fofr/flux-pixar-cars'.
|
|
| lora_scale |
number
|
1
Min: -1 Max: 3 |
Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
|
| extra_lora |
string
|
Load LoRA weights. Supports HuggingFace URLs in the format <owner>/<model-name>[/<lora-weights-file.safetensors>]. For example, 'fofr/flux-pixar-cars'.
|
|
| extra_lora_scale |
number
|
1
Min: -1 Max: 3 |
Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
|
| megapixels |
None
|
1
|
Approximate number of megapixels for generated image
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}