stability-ai / stable-diffusion-inpainting

Fill in masked parts of images with Stable Diffusion

Warm

Public
19.5M runs
A100 (80GB)
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

stability-ai/stable-diffusion-inpainting:95b72231

Model

stability-ai/stable-diffusion-inpainting:e5a34f91

xkyxrm6j3jb3llitusuf4hycoa

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.8s

Created

over 2 years ago by @chenxwh

Input

mask
image
prompt: Face of a yellow cat, high resolution, sitting on a park bench
num_outputs: 1
guidance_scale: 7.5
prompt_strength: 0.8
num_inference_steps: 25

{
  "mask": "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
  "image": "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
  "prompt": "Face of a yellow cat, high resolution, sitting on a park bench",
  "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

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";

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

Run stability-ai/stable-diffusion-inpainting 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-inpainting:95b7223104132402a9ae91cc677285bc5eb997834bd2349fa486f53910fd68b3",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
      image: "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
      prompt: "Face of a yellow cat, high resolution, sitting on a park bench",
      num_outputs: 1,
      guidance_scale: 7.5,
      num_inference_steps: 25
    }
  }
);
console.log(output);

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

output = replicate.run(
    "stability-ai/stable-diffusion-inpainting:95b7223104132402a9ae91cc677285bc5eb997834bd2349fa486f53910fd68b3",
    input={
        "mask": "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
        "image": "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
        "prompt": "Face of a yellow cat, high resolution, sitting on a park bench",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "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 stability-ai/stable-diffusion-inpainting 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": "95b7223104132402a9ae91cc677285bc5eb997834bd2349fa486f53910fd68b3",
    "input": {
      "mask": "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
      "image": "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
      "prompt": "Face of a yellow cat, high resolution, sitting on a park bench",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/stability-ai/stable-diffusion-inpainting@sha256:95b7223104132402a9ae91cc677285bc5eb997834bd2349fa486f53910fd68b3 \
  -i 'mask="https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png"' \
  -i 'image="https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png"' \
  -i 'prompt="Face of a yellow cat, high resolution, sitting on a park bench"' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/stability-ai/stable-diffusion-inpainting@sha256:95b7223104132402a9ae91cc677285bc5eb997834bd2349fa486f53910fd68b3
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
      "image": "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
      "prompt": "Face of a yellow cat, high resolution, sitting on a park bench",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2022-12-02T18:40:24.805380Z",
  "created_at": "2022-12-02T18:40:22.058556Z",
  "data_removed": false,
  "error": null,
  "id": "xkyxrm6j3jb3llitusuf4hycoa",
  "input": {
    "mask": "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
    "image": "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
    "prompt": "Face of a yellow cat, high resolution, sitting on a park bench",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "num_inference_steps": 25
  },
  "logs": "Using seed: 62372\n  0%|          | 0/26 [00:00<?, ?it/s]\n  8%|▊         | 2/26 [00:00<00:01, 14.22it/s]\n 15%|█▌        | 4/26 [00:00<00:01, 15.62it/s]\n 23%|██▎       | 6/26 [00:00<00:01, 15.98it/s]\n 31%|███       | 8/26 [00:00<00:01, 16.07it/s]\n 38%|███▊      | 10/26 [00:00<00:00, 16.14it/s]\n 46%|████▌     | 12/26 [00:00<00:00, 16.29it/s]\n 54%|█████▍    | 14/26 [00:00<00:00, 16.39it/s]\n 62%|██████▏   | 16/26 [00:00<00:00, 16.40it/s]\n 69%|██████▉   | 18/26 [00:01<00:00, 16.42it/s]\n 77%|███████▋  | 20/26 [00:01<00:00, 16.49it/s]\n 85%|████████▍ | 22/26 [00:01<00:00, 16.31it/s]\n 92%|█████████▏| 24/26 [00:01<00:00, 16.37it/s]\n100%|██████████| 26/26 [00:01<00:00, 16.47it/s]\n100%|██████████| 26/26 [00:01<00:00, 16.26it/s]",
  "metrics": {
    "predict_time": 2.711119,
    "total_time": 2.746824
  },
  "output": [
    "https://replicate.delivery/pbxt/xs0pPOUM6HKmPlJJBXqKfE1YsiMzgNsCuGedlX0VqvPYifLgA/out-0.png"
  ],
  "started_at": "2022-12-02T18:40:22.094261Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/xkyxrm6j3jb3llitusuf4hycoa",
    "cancel": "https://api.replicate.com/v1/predictions/xkyxrm6j3jb3llitusuf4hycoa/cancel"
  },
  "version": "e5a34f913de0adc560d20e002c45ad43a80031b62caacc3d84010c6b6a64870c"
}

Generated in

2.7 seconds

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