pimentoml/custom_upscaled_editor

pimentoml / custom_upscaled_editor

Public
10 runs

Run pimentoml/custom_upscaled_editor 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	An astronaut riding a rainbow unicorn	Input prompt
negative_prompt	string		Negative Prompt
image	string		Input image for img2img or inpaint mode
mask	string		Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
resolution	integer (enum)	2048 Options: 2048	Image resolution
num_outputs	integer	1 Min: 1 Max: 4	Number of images to output
scheduler	string (enum)	K_EULER Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM	scheduler
num_inference_steps	integer	30 Min: 1 Max: 500	Number of denoising steps
guidance_scale	number	7.5 Min: 1 Max: 50	Scale for classifier-free guidance
prompt_strength	number	0.8 Max: 1	Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
seed	integer		Random seed. Leave blank to randomize the seed
refine	string (enum)	no_refiner Options: no_refiner, base_image_refiner	Which refine style to use
refine_steps	integer		For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
apply_watermark	boolean	True	Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
lora_scale	number	0.6 Max: 1	LoRA additive scale. Only applicable on trained models.
lora_weights	string		Replicate LoRA weights to use. Leave blank to use the default weights.
disable_safety_checker	boolean	False	Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)
controlnet_1	string (enum)	none Options: none, edge_canny, illusion, depth_leres, depth_midas, soft_edge_pidi, soft_edge_hed, lineart, lineart_anime, openpose	Controlnet
controlnet_1_conditioning_scale	number	0.75 Max: 4	How strong the controlnet conditioning is
controlnet_1_start	number	0 Max: 1	When controlnet conditioning starts
controlnet_1_end	number	1 Max: 1	When controlnet conditioning ends
controlnet_2	string (enum)	none Options: none, edge_canny, illusion, depth_leres, depth_midas, soft_edge_pidi, soft_edge_hed, lineart, lineart_anime, openpose	Controlnet
controlnet_2_conditioning_scale	number	0.75 Max: 4	How strong the controlnet conditioning is
controlnet_2_start	number	0 Max: 1	When controlnet conditioning starts
controlnet_2_end	number	1 Max: 1	When controlnet conditioning ends

{
  "type": "object",
  "title": "Input",
  "properties": {
    "mask": {
      "type": "string",
      "title": "Mask",
      "format": "uri",
      "x-order": 3,
      "description": "Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted."
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 10,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 2,
      "description": "Input image for img2img or inpaint mode"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "An astronaut riding a rainbow unicorn",
      "x-order": 0,
      "description": "Input prompt"
    },
    "refine": {
      "enum": [
        "no_refiner",
        "base_image_refiner"
      ],
      "type": "string",
      "title": "refine",
      "description": "Which refine style to use",
      "default": "no_refiner",
      "x-order": 11
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "DPMSolverMultistep",
        "HeunDiscrete",
        "KarrasDPM",
        "K_EULER_ANCESTRAL",
        "K_EULER",
        "PNDM"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "scheduler",
      "default": "K_EULER",
      "x-order": 6
    },
    "lora_scale": {
      "type": "number",
      "title": "Lora Scale",
      "default": 0.6,
      "maximum": 1,
      "minimum": 0,
      "x-order": 14,
      "description": "LoRA additive scale. Only applicable on trained models."
    },
    "resolution": {
      "enum": [
        2048
      ],
      "type": "integer",
      "title": "resolution",
      "description": "Image resolution",
      "default": 2048,
      "x-order": 4
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 5,
      "description": "Number of images to output"
    },
    "controlnet_1": {
      "enum": [
        "none",
        "edge_canny",
        "illusion",
        "depth_leres",
        "depth_midas",
        "soft_edge_pidi",
        "soft_edge_hed",
        "lineart",
        "lineart_anime",
        "openpose"
      ],
      "type": "string",
      "title": "controlnet_1",
      "description": "Controlnet",
      "default": "none",
      "x-order": 17
    },
    "controlnet_2": {
      "enum": [
        "none",
        "edge_canny",
        "illusion",
        "depth_leres",
        "depth_midas",
        "soft_edge_pidi",
        "soft_edge_hed",
        "lineart",
        "lineart_anime",
        "openpose"
      ],
      "type": "string",
      "title": "controlnet_2",
      "description": "Controlnet",
      "default": "none",
      "x-order": 21
    },
    "lora_weights": {
      "type": "string",
      "title": "Lora Weights",
      "x-order": 15,
      "description": "Replicate LoRA weights to use. Leave blank to use the default weights."
    },
    "refine_steps": {
      "type": "integer",
      "title": "Refine Steps",
      "x-order": 12,
      "description": "For base_image_refiner, the number of steps to refine, defaults to num_inference_steps"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 50,
      "minimum": 1,
      "x-order": 8,
      "description": "Scale for classifier-free guidance"
    },
    "apply_watermark": {
      "type": "boolean",
      "title": "Apply Watermark",
      "default": true,
      "x-order": 13,
      "description": "Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking."
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 1,
      "description": "Negative Prompt"
    },
    "prompt_strength": {
      "type": "number",
      "title": "Prompt Strength",
      "default": 0.8,
      "maximum": 1,
      "minimum": 0,
      "x-order": 9,
      "description": "Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image"
    },
    "controlnet_1_end": {
      "type": "number",
      "title": "Controlnet 1 End",
      "default": 1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 20,
      "description": "When controlnet conditioning ends"
    },
    "controlnet_2_end": {
      "type": "number",
      "title": "Controlnet 2 End",
      "default": 1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 24,
      "description": "When controlnet conditioning ends"
    },
    "controlnet_1_start": {
      "type": "number",
      "title": "Controlnet 1 Start",
      "default": 0,
      "maximum": 1,
      "minimum": 0,
      "x-order": 19,
      "description": "When controlnet conditioning starts"
    },
    "controlnet_2_start": {
      "type": "number",
      "title": "Controlnet 2 Start",
      "default": 0,
      "maximum": 1,
      "minimum": 0,
      "x-order": 23,
      "description": "When controlnet conditioning starts"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 30,
      "maximum": 500,
      "minimum": 1,
      "x-order": 7,
      "description": "Number of denoising steps"
    },
    "disable_safety_checker": {
      "type": "boolean",
      "title": "Disable Safety Checker",
      "default": false,
      "x-order": 16,
      "description": "Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)"
    },
    "controlnet_1_conditioning_scale": {
      "type": "number",
      "title": "Controlnet 1 Conditioning Scale",
      "default": 0.75,
      "maximum": 4,
      "minimum": 0,
      "x-order": 18,
      "description": "How strong the controlnet conditioning is"
    },
    "controlnet_2_conditioning_scale": {
      "type": "number",
      "title": "Controlnet 2 Conditioning Scale",
      "default": 0.75,
      "maximum": 4,
      "minimum": 0,
      "x-order": 22,
      "description": "How strong the controlnet conditioning is"
    }
  }
}

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"
}