its-magick
/
flux-multi-lora-loader
- Public
- 14 runs
Run its-magick/flux-multi-lora-loader 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 |
string
(enum)
|
1:1
Options: 1:1, 3:2, 4:3, 16:9, 21:9, 2:3, 3:4, 9:16, 9:21, thumb, small, ad, hd, facebook, twitter, youtube, linkedin, pinterest, instagram, tiktok, snapchat, whatsapp, telegram, signal, discord, twitch, threads, stories, reels, igtv, linkedin_story, linkedin_post, linkedin_banner, linkedin_logo, linkedin_carousel, linkedin_profile, facebook_story, linkedin_cover, linkedin_video |
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
|
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Number of inference steps
|
| guidance_scale |
number
|
3.5
Max: 10 |
Guidance scale for the diffusion process
|
| seed |
integer
|
Random seed. Set for reproducible generation
|
|
| output_format |
string
(enum)
|
webp
Options: webp, jpg, png |
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
|
| 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
|
|
| prompt_strength |
number
|
0.8
Max: 1 |
Prompt strength (or denoising strength) when using image to image. 1.0 corresponds to full destruction of information in image.
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 5,
"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"
},
"hf_loras": {
"type": "array",
"items": {
"type": "string"
},
"title": "Hf Loras",
"x-order": 8,
"description": "Huggingface path, or URL to the LoRA weights. Ex: alvdansen/frosting_lane_flux"
},
"lora_scales": {
"type": "array",
"items": {
"type": "number"
},
"title": "Lora Scales",
"x-order": 9,
"description": "Scale for the LoRA weights. Default value is 0.8"
},
"aspect_ratio": {
"enum": [
"1:1",
"3:2",
"4:3",
"16:9",
"21:9",
"2:3",
"3:4",
"9:16",
"9:21",
"thumb",
"small",
"ad",
"hd",
"facebook",
"twitter",
"youtube",
"linkedin",
"pinterest",
"instagram",
"tiktok",
"snapchat",
"whatsapp",
"telegram",
"signal",
"discord",
"twitch",
"threads",
"stories",
"reels",
"igtv",
"linkedin_story",
"linkedin_post",
"linkedin_banner",
"linkedin_logo",
"linkedin_carousel",
"linkedin_profile",
"facebook_story",
"linkedin_cover",
"linkedin_video"
],
"type": "string",
"title": "aspect_ratio",
"description": "Aspect ratio for the generated image",
"default": "1:1",
"x-order": 1
},
"output_format": {
"enum": [
"webp",
"jpg",
"png"
],
"type": "string",
"title": "output_format",
"description": "Format of the output images",
"default": "webp",
"x-order": 6
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 3.5,
"maximum": 10,
"minimum": 0,
"x-order": 4,
"description": "Guidance scale for the diffusion process"
},
"output_quality": {
"type": "integer",
"title": "Output Quality",
"default": 80,
"maximum": 100,
"minimum": 0,
"x-order": 7,
"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": 10,
"description": "Prompt strength (or denoising strength) when using image to image. 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": 3,
"description": "Number of inference steps"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output"
}