lucataco/diffusionlight:958d6f03 – Run with an API on Replicate

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lucataco /diffusionlight:958d6f03

Playground API

Input

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

npx create-replicate --model=lucataco/diffusionlight

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

const output = await replicate.run(
  "lucataco/diffusionlight:958d6f0315da9b86f74ca6a67b8cafa1b44b4b6330f0385d956da171ec02e5ef",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KJoE5o7FxdBpbyaooud9PQWSmzB44JjprzEQ32hiUaZN32Sr/bed.png",
      prompt: "a perfect mirrored reflective chrome ball sphere",
      negative_prompt: "matte, diffuse, flat, dull",
      num_inference_steps: 30,
      controlnet_conditioning_scale: 0.5
    }
  }
);

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

// To write the file to disk:
fs.writeFile("my-image.png", 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 lucataco/diffusionlight using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/diffusionlight:958d6f0315da9b86f74ca6a67b8cafa1b44b4b6330f0385d956da171ec02e5ef",
    input={
        "image": "https://replicate.delivery/pbxt/KJoE5o7FxdBpbyaooud9PQWSmzB44JjprzEQ32hiUaZN32Sr/bed.png",
        "prompt": "a perfect mirrored reflective chrome ball sphere",
        "negative_prompt": "matte, diffuse, flat, dull",
        "num_inference_steps": 30,
        "controlnet_conditioning_scale": 0.5
    }
)
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 lucataco/diffusionlight 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": "lucataco/diffusionlight:958d6f0315da9b86f74ca6a67b8cafa1b44b4b6330f0385d956da171ec02e5ef",
    "input": {
      "image": "https://replicate.delivery/pbxt/KJoE5o7FxdBpbyaooud9PQWSmzB44JjprzEQ32hiUaZN32Sr/bed.png",
      "prompt": "a perfect mirrored reflective chrome ball sphere",
      "negative_prompt": "matte, diffuse, flat, dull",
      "num_inference_steps": 30,
      "controlnet_conditioning_scale": 0.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-01-30T21:42:37.656926Z",
  "created_at": "2024-01-30T21:37:50.625579Z",
  "data_removed": false,
  "error": null,
  "id": "dc4dqllbowaiqmef53cpihtj5m",
  "input": {
    "image": "https://replicate.delivery/pbxt/KJoE5o7FxdBpbyaooud9PQWSmzB44JjprzEQ32hiUaZN32Sr/bed.png",
    "prompt": "a perfect mirrored reflective chrome ball sphere",
    "negative_prompt": "matte, diffuse, flat, dull",
    "num_inference_steps": 30,
    "controlnet_conditioning_scale": 0.5
  },
  "logs": "/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3483.)\nreturn _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n  0%|          | 0/29 [00:00<?, ?it/s]\n  3%|▎         | 1/29 [00:00<00:09,  2.81it/s]\n  7%|▋         | 2/29 [00:00<00:08,  3.10it/s]\n 10%|█         | 3/29 [00:00<00:08,  3.21it/s]\n 14%|█▍        | 4/29 [00:01<00:07,  3.26it/s]\n 17%|█▋        | 5/29 [00:01<00:07,  3.30it/s]\n 21%|██        | 6/29 [00:01<00:06,  3.31it/s]\n 24%|██▍       | 7/29 [00:02<00:06,  3.32it/s]\n 28%|██▊       | 8/29 [00:02<00:06,  3.33it/s]\n 31%|███       | 9/29 [00:02<00:06,  3.33it/s]\n 34%|███▍      | 10/29 [00:03<00:05,  3.34it/s]\n 38%|███▊      | 11/29 [00:03<00:05,  3.34it/s]\n 41%|████▏     | 12/29 [00:03<00:05,  3.34it/s]\n 45%|████▍     | 13/29 [00:03<00:04,  3.34it/s]\n 48%|████▊     | 14/29 [00:04<00:04,  3.34it/s]\n 52%|█████▏    | 15/29 [00:04<00:04,  3.33it/s]\n 55%|█████▌    | 16/29 [00:04<00:03,  3.33it/s]\n 59%|█████▊    | 17/29 [00:05<00:03,  3.33it/s]\n 62%|██████▏   | 18/29 [00:05<00:03,  3.33it/s]\n 66%|██████▌   | 19/29 [00:05<00:03,  3.33it/s]\n 69%|██████▉   | 20/29 [00:06<00:02,  3.33it/s]\n 72%|███████▏  | 21/29 [00:06<00:02,  3.33it/s]\n 76%|███████▌  | 22/29 [00:06<00:02,  3.33it/s]\n 79%|███████▉  | 23/29 [00:06<00:01,  3.33it/s]\n 83%|████████▎ | 24/29 [00:07<00:01,  3.33it/s]\n 86%|████████▌ | 25/29 [00:07<00:01,  3.33it/s]\n 90%|████████▉ | 26/29 [00:07<00:00,  3.33it/s]\n 93%|█████████▎| 27/29 [00:08<00:00,  3.33it/s]\n 97%|█████████▋| 28/29 [00:08<00:00,  3.32it/s]\n100%|██████████| 29/29 [00:08<00:00,  3.32it/s]\n100%|██████████| 29/29 [00:08<00:00,  3.31it/s]",
  "metrics": {
    "predict_time": 13.74481,
    "total_time": 287.031347
  },
  "output": "https://replicate.delivery/pbxt/YqYtularwBrQP9e3foKhaQyeA21k5du04umfYA3eBqqnpPOSC/output.png",
  "started_at": "2024-01-30T21:42:23.912116Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/dc4dqllbowaiqmef53cpihtj5m",
    "cancel": "https://api.replicate.com/v1/predictions/dc4dqllbowaiqmef53cpihtj5m/cancel"
  },
  "version": "958d6f0315da9b86f74ca6a67b8cafa1b44b4b6330f0385d956da171ec02e5ef"
}

Generated in

13.8 seconds

Tweak itReport

/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3483.)
return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
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