joyanujoy/analog_diffusion:eff6035c | Run with an API on Replicate

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joyanujoy /analog_diffusion:eff6035c

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt. Use <1>, <2>, <3>, etc., to specify LoRA concepts

Default: "a photo of <1> riding a horse on mars"

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output

Default: ""

width

integer

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

height

integer

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

image

file

(Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked.

remove_background

boolean

Automatically remove background from above Img2Img initial image.

Default: true

clip_interrogator

boolean

Generate prompt from init image. Generated prompt will override manually entered text prompt input

Default: true

prompt_strength

number

(Img2Img) Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

scheduler

string

Choose a scheduler.

Default: "DPMSolverMultistep"

lora_urls

string

Shift + Return to add a new line

List of urls for safetensors of lora models, seperated with | .

Default: ""

lora_scales

string

Shift + Return to add a new line

List of scales for safetensors of lora models, seperated with |

Default: "0.5"

seed

integer

Random seed. Leave blank to randomize the seed

adapter_condition_image

file

(T2I-adapter) Adapter Condition Image to gain extra control over generation. If this is not none, T2I adapter will be invoked.

adapter_type

string

(T2I-adapter) Choose an adapter type for the additional condition.

Default: "sketch"

upscale

integer

Upscaling factor

verbose_response

boolean

Return a response object with detail info. Prompt, seed used etc.

Default: false

Run this model in Node.js with one line of code:

npx create-replicate --model=joyanujoy/analog_diffusion

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run joyanujoy/analog_diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "joyanujoy/analog_diffusion:eff6035c43836061271808afa1d8ed256e603043489093a9b35bfee9cfe53e48",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "analog style photo of a man",
      upscale: 2,
      lora_urls: "",
      scheduler: "DPMSolverMultistep",
      lora_scales: "0.5",
      num_outputs: 1,
      adapter_type: "sketch",
      guidance_scale: 7.5,
      negative_prompt: "",
      prompt_strength: 0.8,
      verbose_response: false,
      clip_interrogator: true,
      remove_background: false,
      num_inference_steps: 50
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run joyanujoy/analog_diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "joyanujoy/analog_diffusion:eff6035c43836061271808afa1d8ed256e603043489093a9b35bfee9cfe53e48",
    input={
        "width": 512,
        "height": 512,
        "prompt": "analog style photo of a man",
        "upscale": 2,
        "lora_urls": "",
        "scheduler": "DPMSolverMultistep",
        "lora_scales": "0.5",
        "num_outputs": 1,
        "adapter_type": "sketch",
        "guidance_scale": 7.5,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "verbose_response": False,
        "clip_interrogator": True,
        "remove_background": False,
        "num_inference_steps": 50
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run joyanujoy/analog_diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "joyanujoy/analog_diffusion:eff6035c43836061271808afa1d8ed256e603043489093a9b35bfee9cfe53e48",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "analog style photo of a man",
      "upscale": 2,
      "lora_urls": "",
      "scheduler": "DPMSolverMultistep",
      "lora_scales": "0.5",
      "num_outputs": 1,
      "adapter_type": "sketch",
      "guidance_scale": 7.5,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "verbose_response": false,
      "clip_interrogator": true,
      "remove_background": false,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2023-03-23T18:30:55.965066Z",
  "created_at": "2023-03-23T18:28:19.794684Z",
  "data_removed": false,
  "error": null,
  "id": "csascvfyijbt3pjmvrfhfyvrja",
  "input": {
    "width": 512,
    "height": 512,
    "prompt": "analog style photo of a man",
    "scheduler": "DPMSolverMultistep",
    "lora_scales": "0.5",
    "num_outputs": 1,
    "adapter_type": "sketch",
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "clip_interrogator": true,
    "remove_background": false,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 55601\nGenerating image of 512 x 512 with prompt: analog style photo of a man\nNo LoRA models provided, using default model...\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:01<01:34,  1.93s/it]\n  6%|▌         | 3/50 [00:02<00:26,  1.78it/s]\n 10%|█         | 5/50 [00:02<00:14,  3.19it/s]\n 14%|█▍        | 7/50 [00:02<00:09,  4.69it/s]\n 18%|█▊        | 9/50 [00:02<00:06,  6.07it/s]\n 22%|██▏       | 11/50 [00:02<00:05,  7.35it/s]\n 26%|██▌       | 13/50 [00:02<00:04,  8.57it/s]\n 30%|███       | 15/50 [00:03<00:03,  9.66it/s]\n 34%|███▍      | 17/50 [00:03<00:03, 10.59it/s]\n 38%|███▊      | 19/50 [00:03<00:02, 11.20it/s]\n 42%|████▏     | 21/50 [00:03<00:02, 11.42it/s]\n 46%|████▌     | 23/50 [00:03<00:02, 11.58it/s]\n 50%|█████     | 25/50 [00:03<00:02, 11.88it/s]\n 54%|█████▍    | 27/50 [00:04<00:01, 11.91it/s]\n 58%|█████▊    | 29/50 [00:04<00:01, 12.21it/s]\n 62%|██████▏   | 31/50 [00:04<00:01, 12.08it/s]\n 66%|██████▌   | 33/50 [00:04<00:01, 12.26it/s]\n 70%|███████   | 35/50 [00:04<00:01, 12.02it/s]\n 74%|███████▍  | 37/50 [00:04<00:01, 12.33it/s]\n 78%|███████▊  | 39/50 [00:04<00:00, 12.19it/s]\n 82%|████████▏ | 41/50 [00:05<00:00, 12.07it/s]\n 86%|████████▌ | 43/50 [00:05<00:00, 12.31it/s]\n 90%|█████████ | 45/50 [00:05<00:00, 12.61it/s]\n 94%|█████████▍| 47/50 [00:05<00:00, 12.44it/s]\n 98%|█████████▊| 49/50 [00:05<00:00, 13.00it/s]\n100%|██████████| 50/50 [00:05<00:00,  8.56it/s]",
  "metrics": {
    "predict_time": 7.81628,
    "total_time": 156.170382
  },
  "output": [
    "https://replicate.delivery/pbxt/0iNkiPzqlGbvHpKLkdDga7q6FWd2gZeKNVj71G2ibltvZSVIA/out-0.png"
  ],
  "started_at": "2023-03-23T18:30:48.148786Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/csascvfyijbt3pjmvrfhfyvrja",
    "cancel": "https://api.replicate.com/v1/predictions/csascvfyijbt3pjmvrfhfyvrja/cancel"
  },
  "version": "eff6035c43836061271808afa1d8ed256e603043489093a9b35bfee9cfe53e48"
}

Generated in

7.8 seconds

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