sergeishapovalov/urft
Description
Public
119
runs
Run sergeishapovalov/urft with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
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
|
| 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
Min: 1 Max: 50 |
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
|
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
|
| lora_weights |
string
|
Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. 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.
|
| hf_loras |
array
|
List of LoRA weights. Supports Replicate models, HuggingFace paths, CivitAI URLs, or .safetensors URLs. Example: ['alvdansen/frosting_lane_flux', 'lucataco/flux-queso']
|
|
| lora_scales |
array
|
List of scales for the LoRA weights. Default value is 0.8 for all LoRAs. Example: [0.7, 0.5]
|
|
| megapixels |
None
|
1
|
Approximate number of megapixels for generated image
|
| use_hires_fix |
boolean
|
True
|
Use Hires.Fix to upscale and refine the generated image
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 7,
"description": "Random seed. Set for reproducible generation"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 2,
"description": "Input image for image to image mode. The aspect ratio of your output will match this image"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Prompt for generated image"
},
"guidance": {
"type": "number",
"title": "Guidance",
"default": 3,
"maximum": 10,
"minimum": 0,
"x-order": 6,
"description": "Guidance for generated image"
},
"hf_loras": {
"type": "array",
"items": {
"type": "string"
},
"title": "Hf Loras",
"x-order": 12,
"description": "List of LoRA weights. Supports Replicate models, HuggingFace paths, CivitAI URLs, or .safetensors URLs. Example: ['alvdansen/frosting_lane_flux', 'lucataco/flux-queso']"
},
"lora_scale": {
"type": "number",
"title": "Lora Scale",
"default": 1,
"maximum": 3,
"minimum": -1,
"x-order": 11,
"description": "Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference."
},
"megapixels": {
"enum": [
"1",
"0.25"
],
"type": "string",
"title": "megapixels",
"description": "Approximate number of megapixels for generated image",
"default": "1",
"x-order": 14
},
"lora_scales": {
"type": "array",
"items": {
"type": "number"
},
"title": "Lora Scales",
"x-order": 13,
"description": "List of scales for the LoRA weights. Default value is 0.8 for all LoRAs. Example: [0.7, 0.5]"
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 4,
"description": "Number of outputs to generate"
},
"aspect_ratio": {
"enum": [
"1:1",
"16:9",
"21:9",
"3:2",
"2:3",
"4:5",
"5:4",
"3:4",
"4:3",
"9:16",
"9:21"
],
"type": "string",
"title": "aspect_ratio",
"description": "Aspect ratio for the generated image",
"default": "1:1",
"x-order": 1
},
"lora_weights": {
"type": "string",
"title": "Lora Weights",
"x-order": 10,
"description": "Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'"
},
"output_format": {
"enum": [
"webp",
"jpg",
"png"
],
"type": "string",
"title": "output_format",
"description": "Format of the output images",
"default": "webp",
"x-order": 8
},
"use_hires_fix": {
"type": "boolean",
"title": "Use Hires Fix",
"default": true,
"x-order": 15,
"description": "Use Hires.Fix to upscale and refine the generated image"
},
"output_quality": {
"type": "integer",
"title": "Output Quality",
"default": 80,
"maximum": 100,
"minimum": 0,
"x-order": 9,
"description": "Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs"
},
"prompt_strength": {
"type": "number",
"title": "Prompt Strength",
"default": 0.8,
"maximum": 1,
"minimum": 0,
"x-order": 3,
"description": "Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 28,
"maximum": 50,
"minimum": 1,
"x-order": 5,
"description": "Number of denoising steps. Recommended range is 28-50, and lower number of steps produce lower quality outputs, faster."
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output"
}