cjwbw/stable-diffusion-img2img-v2.1:650c347f – Run with an API on Replicate

Version

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cjwbw /stable-diffusion-img2img-v2.1:650c347f

Playground API

Input

prompt

string

Shift + Return to add a new line

A fantasy landscape, trending on artstationA fantasy landscape, trending on artstation

Input prompt

Default: "A fantasy landscape, trending on artstation"

negative_prompt

string

Shift + Return to add a new line

The prompt NOT to guide the image generation. Ignored when not using guidance

image

*file

Inital image to generate variations of.

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

prompt_strength

number

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

Default: 0.8

num_outputs

integer

(minimum: 1, maximum: 8)

Number of images to output. Higher number of outputs may OOM.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 25

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

scheduler

string

Choose a scheduler.

Default: "DPMSolverMultistep"

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=cjwbw/stable-diffusion-img2img-v2.1

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 cjwbw/stable-diffusion-img2img-v2.1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/stable-diffusion-img2img-v2.1:650c347f19a96c8a0379db998c4cd092e0734534591b16a60df9942d11dec15b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/HxvEWoStnvDhP3Z8LSGEvnddgsLQc9cK66QCMvdwJylmWhGk/sketch-mountains-input.jpeg",
      width: 512,
      height: 512,
      prompt: "A fantasy landscape, trending on artstation",
      scheduler: "K_EULER",
      num_outputs: 1,
      guidance_scale: 7.5,
      prompt_strength: 0.8,
      num_inference_steps: 25
    }
  }
);

// 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 cjwbw/stable-diffusion-img2img-v2.1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/stable-diffusion-img2img-v2.1:650c347f19a96c8a0379db998c4cd092e0734534591b16a60df9942d11dec15b",
    input={
        "image": "https://replicate.delivery/pbxt/HxvEWoStnvDhP3Z8LSGEvnddgsLQc9cK66QCMvdwJylmWhGk/sketch-mountains-input.jpeg",
        "width": 512,
        "height": 512,
        "prompt": "A fantasy landscape, trending on artstation",
        "scheduler": "K_EULER",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
)
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 cjwbw/stable-diffusion-img2img-v2.1 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": "cjwbw/stable-diffusion-img2img-v2.1:650c347f19a96c8a0379db998c4cd092e0734534591b16a60df9942d11dec15b",
    "input": {
      "image": "https://replicate.delivery/pbxt/HxvEWoStnvDhP3Z8LSGEvnddgsLQc9cK66QCMvdwJylmWhGk/sketch-mountains-input.jpeg",
      "width": 512,
      "height": 512,
      "prompt": "A fantasy landscape, trending on artstation",
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "prompt_strength": 0.8,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-12-15T21:38:14.462601Z",
  "created_at": "2022-12-15T21:38:08.539142Z",
  "data_removed": false,
  "error": null,
  "id": "4c63vdrl6bbtxhkn23k6q6rp2e",
  "input": {
    "image": "https://replicate.delivery/pbxt/HxvEWoStnvDhP3Z8LSGEvnddgsLQc9cK66QCMvdwJylmWhGk/sketch-mountains-input.jpeg",
    "width": 512,
    "height": 512,
    "prompt": "A fantasy landscape, trending on artstation",
    "scheduler": "K_EULER",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 8716\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:04,  4.60it/s]\n 10%|█         | 2/20 [00:00<00:03,  4.61it/s]\n 15%|█▌        | 3/20 [00:00<00:03,  4.62it/s]\n 20%|██        | 4/20 [00:00<00:03,  4.62it/s]\n 25%|██▌       | 5/20 [00:01<00:03,  4.61it/s]\n 30%|███       | 6/20 [00:01<00:03,  4.61it/s]\n 35%|███▌      | 7/20 [00:01<00:02,  4.62it/s]\n 40%|████      | 8/20 [00:01<00:02,  4.62it/s]\n 45%|████▌     | 9/20 [00:01<00:02,  4.62it/s]\n 50%|█████     | 10/20 [00:02<00:02,  4.62it/s]\n 55%|█████▌    | 11/20 [00:02<00:01,  4.63it/s]\n 60%|██████    | 12/20 [00:02<00:01,  4.63it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  4.63it/s]\n 70%|███████   | 14/20 [00:03<00:01,  4.63it/s]\n 75%|███████▌  | 15/20 [00:03<00:01,  4.63it/s]\n 80%|████████  | 16/20 [00:03<00:00,  4.64it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  4.64it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  4.62it/s]\n 95%|█████████▌| 19/20 [00:04<00:00,  4.63it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.63it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.63it/s]",
  "metrics": {
    "predict_time": 5.881789,
    "total_time": 5.923459
  },
  "output": [
    "https://replicate.delivery/pbxt/HtG1SgSzGzqyP9FpoD69N4iPFPkeFQ2tejEca86yyuUFXUKQA/out-0.png"
  ],
  "started_at": "2022-12-15T21:38:08.580812Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/4c63vdrl6bbtxhkn23k6q6rp2e",
    "cancel": "https://api.replicate.com/v1/predictions/4c63vdrl6bbtxhkn23k6q6rp2e/cancel"
  },
  "version": "650c347f19a96c8a0379db998c4cd092e0734534591b16a60df9942d11dec15b"
}

Generated in

5.9 seconds

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