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usamaehsan /flux-multi-controlnet:b4bbaaca
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 girl in city, 25 years old, cool, futuristic style
|
The text prompt that guides image generation. Be detailed and specific about the image you want to create. Include style, mood, colors, and specific details.
|
| canny_image |
string
|
Input image for edge detection control. The Canny ControlNet will use the edges detected in this image to guide the generation. Best for preserving structural elements and outlines.
|
|
| depth_image |
string
|
Input image for depth control. The Depth ControlNet will preserve the spatial relationships and 3D structure of this image in the generated result. Excellent for maintaining perspective and spatial layout.
|
|
| lineart_image |
string
|
Input image for line art control. The Lineart ControlNet will follow the artistic lines and sketches in this image. Perfect for turning sketches into detailed artwork while maintaining the original composition.
|
|
| upscaler_image |
string
|
Input image for upscaling control. The Upscaler ControlNet will enhance and improve the resolution of this image while maintaining its core details and structure. Ideal for improving image quality and adding details.
|
|
| canny_strength |
number
|
0.6
Max: 2 |
Controls how strongly the edge detection influences the final image. Higher values (closer to 2.0) follow edge guidance more strictly, lower values (closer to 0) allow more creative freedom.
|
| depth_strength |
number
|
0.6
Max: 2 |
Determines how strictly the depth information influences the generation. Higher values preserve spatial relationships more faithfully, lower values allow more artistic interpretation.
|
| lineart_strength |
number
|
0.6
Max: 2 |
Controls how closely the generated image follows the input line art. Higher values stick closer to the original lines, lower values allow more artistic freedom while maintaining basic composition.
|
| upscaler_strength |
number
|
0.6
Max: 2 |
Determines how much the upscaler influences the final result. Higher values preserve more details from the original image, lower values allow more creative reinterpretation while upscaling.
|
| guidance_scale |
number
|
3.5
Max: 20 |
Controls how closely the image follows the prompt. Higher values (7-20) result in images that more strictly follow the prompt but may be less natural. Lower values (1-7) allow more creative freedom but may stray from the prompt.
|
| steps |
integer
|
8
Min: 1 Max: 50 |
Number of denoising steps. More steps generally result in higher quality images but take longer to generate. 8-15 steps for quick results, 20-50 for higher quality. Diminishing returns after 30 steps.
|
| seed |
integer
|
Random seed for reproducible results. Using the same seed with identical parameters will generate the same image. Leave as None for random results.
|
|
| hyperflex_lora_weight |
number
|
0.125
Max: 1 |
Weight of the HyperFlex LoRA adaptation. Higher values enhance the model's flexibility in interpreting prompts. Recommended range 0.1-0.3 for balanced results.
|
| add_details_lora_weight |
number
|
0
Max: 1 |
Weight of the Add Details LoRA adaptation. Higher values enhance fine details and textures in the generated image. Recommended range 0.2-0.5 for enhanced detail.
|
| realism_lora_weight |
number
|
0
Max: 1 |
Weight of the Realism LoRA adaptation. Higher values enhance photorealistic qualities in the generated image. Recommended range 0.3-0.7 for balanced realism.
|
| widthh |
integer
|
0
Max: 5000 |
Output image width in pixels. Must be divisible by 8. Higher values create wider images but require more memory. Set to 0 to use input image width. Recommended: 512-1024 for optimal quality.
|
| heightt |
integer
|
0
Max: 5000 |
Output image height in pixels. Must be divisible by 8. Higher values create taller images but require more memory. Set to 0 to use input image height. Recommended: 512-1024 for optimal quality.
|
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'}