stability-ai / stable-diffusion-img2img

{
  "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
  "width": 512,
  "height": 512,
  "prompt": "A fantasy landscape, trending on artstation",
  "scheduler": "DPMSolverMultistep",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "prompt_strength": 0.8,
  "num_inference_steps": "25"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "stability-ai/stable-diffusion-img2img:ddd4eb440853a42c055203289a3da0c8886b0b9492fe619b1c1dbd34be160ce7",
  {
    input: {
      image: "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
      width: 512,
      height: 512,
      prompt: "A fantasy landscape, trending on artstation",
      scheduler: "DPMSolverMultistep",
      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

Import the client:

import replicate

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

output = replicate.run(
    "stability-ai/stable-diffusion-img2img:ddd4eb440853a42c055203289a3da0c8886b0b9492fe619b1c1dbd34be160ce7",
    input={
        "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
        "width": 512,
        "height": 512,
        "prompt": "A fantasy landscape, trending on artstation",
        "scheduler": "DPMSolverMultistep",
        "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.

Run stability-ai/stable-diffusion-img2img 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": "stability-ai/stable-diffusion-img2img:ddd4eb440853a42c055203289a3da0c8886b0b9492fe619b1c1dbd34be160ce7",
    "input": {
      "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
      "width": 512,
      "height": 512,
      "prompt": "A fantasy landscape, trending on artstation",
      "scheduler": "DPMSolverMultistep",
      "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

Generated in

3.5 seconds

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Prediction

stability-ai/stable-diffusion-img2img:9a9b6aa5ac2793993aaaff48fd0e05fc5be213bc85a0bafd24e578d3bb81e628

Model

stability-ai/stable-diffusion-img2img:9a9b6aa5

qddjw5nx4jg27ocmusjrxtejs4

Status

Succeeded

Source

Web

Hardware

–

Total duration

5m 32s

Created

over 2 years ago by @chenxwh

Input

image
width: 512
height: 512
prompt: A fantasy landscape, trending on artstation
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 7.5
prompt_strength: 0.8
num_inference_steps: "25"

{
  "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
  "width": 512,
  "height": 512,
  "prompt": "A fantasy landscape, trending on artstation",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "prompt_strength": 0.8,
  "num_inference_steps": "25"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "stability-ai/stable-diffusion-img2img:9a9b6aa5ac2793993aaaff48fd0e05fc5be213bc85a0bafd24e578d3bb81e628",
  {
    input: {
      image: "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
      width: 512,
      height: 512,
      prompt: "A fantasy landscape, trending on artstation",
      scheduler: "K_EULER_ANCESTRAL",
      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

Import the client:

import replicate

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

output = replicate.run(
    "stability-ai/stable-diffusion-img2img:9a9b6aa5ac2793993aaaff48fd0e05fc5be213bc85a0bafd24e578d3bb81e628",
    input={
        "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
        "width": 512,
        "height": 512,
        "prompt": "A fantasy landscape, trending on artstation",
        "scheduler": "K_EULER_ANCESTRAL",
        "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.

Run stability-ai/stable-diffusion-img2img 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": "stability-ai/stable-diffusion-img2img:9a9b6aa5ac2793993aaaff48fd0e05fc5be213bc85a0bafd24e578d3bb81e628",
    "input": {
      "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
      "width": 512,
      "height": 512,
      "prompt": "A fantasy landscape, trending on artstation",
      "scheduler": "K_EULER_ANCESTRAL",
      "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": "2022-12-03T00:14:26.914917Z",
  "created_at": "2022-12-03T00:08:54.911903Z",
  "data_removed": false,
  "error": null,
  "id": "qddjw5nx4jg27ocmusjrxtejs4",
  "input": {
    "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg",
    "width": 512,
    "height": 512,
    "prompt": "A fantasy landscape, trending on artstation",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "num_inference_steps": "25"
  },
  "logs": "Using seed: 9445\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:03,  5.53it/s]\n 10%|█         | 2/20 [00:00<00:02,  6.84it/s]\n 15%|█▌        | 3/20 [00:00<00:02,  7.40it/s]\n 20%|██        | 4/20 [00:00<00:02,  7.70it/s]\n 25%|██▌       | 5/20 [00:00<00:01,  7.88it/s]\n 30%|███       | 6/20 [00:00<00:01,  7.99it/s]\n 35%|███▌      | 7/20 [00:00<00:01,  8.07it/s]\n 40%|████      | 8/20 [00:01<00:01,  8.12it/s]\n 45%|████▌     | 9/20 [00:01<00:01,  8.16it/s]\n 50%|█████     | 10/20 [00:01<00:01,  8.18it/s]\n 55%|█████▌    | 11/20 [00:01<00:01,  8.19it/s]\n 60%|██████    | 12/20 [00:01<00:00,  8.20it/s]\n 65%|██████▌   | 13/20 [00:01<00:00,  8.21it/s]\n 70%|███████   | 14/20 [00:01<00:00,  8.19it/s]\n 75%|███████▌  | 15/20 [00:01<00:00,  8.20it/s]\n 80%|████████  | 16/20 [00:02<00:00,  8.20it/s]\n 85%|████████▌ | 17/20 [00:02<00:00,  8.20it/s]\n 90%|█████████ | 18/20 [00:02<00:00,  8.20it/s]\n 95%|█████████▌| 19/20 [00:02<00:00,  8.20it/s]\n100%|██████████| 20/20 [00:02<00:00,  8.20it/s]\n100%|██████████| 20/20 [00:02<00:00,  8.02it/s]",
  "metrics": {
    "predict_time": 5.559297,
    "total_time": 332.003014
  },
  "output": [
    "https://replicate.delivery/pbxt/4vMrIQLDhRLnOt8PMiAPdKuePh8KZ6RmLjW8FyR6feeLuRYAB/out-0.png"
  ],
  "started_at": "2022-12-03T00:14:21.355620Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qddjw5nx4jg27ocmusjrxtejs4",
    "cancel": "https://api.replicate.com/v1/predictions/qddjw5nx4jg27ocmusjrxtejs4/cancel"
  },
  "version": "9a9b6aa5ac2793993aaaff48fd0e05fc5be213bc85a0bafd24e578d3bb81e628"
}

Generated in

5.6 seconds

Tweak it ShareReport