raffamelena / cog-sdxl

{
  "vae": "default",
  "seed": -1,
  "model": "xl_pony",
  "steps": 35,
  "width": 1184,
  "height": 864,
  "prompt": "1girl",
  "strength": 0.7,
  "cfg_scale": 7,
  "clip_skip": 1,
  "scheduler": "DPM++ 2M SDE Karras",
  "batch_size": 1,
  "blur_factor": 5,
  "negative_prompt": "animal, cat, dog, big breasts",
  "guidance_rescale": 0.7,
  "prepend_preprompt": true
}

Install Replicate’s Node.js client library:

npm install replicate

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 raffamelena/cog-sdxl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "raffamelena/cog-sdxl:d792982bcf750d9a8a84b4cc780be20263c815bb26598729d17e432dc283a362",
  {
    input: {
      vae: "default",
      seed: -1,
      model: "xl_pony",
      steps: 35,
      width: 1184,
      height: 864,
      prompt: "1girl",
      strength: 0.7,
      cfg_scale: 7,
      clip_skip: 1,
      scheduler: "DPM++ 2M SDE Karras",
      batch_size: 1,
      blur_factor: 5,
      negative_prompt: "animal, cat, dog, big breasts",
      guidance_rescale: 0.7,
      prepend_preprompt: true
    }
  }
);

// 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 raffamelena/cog-sdxl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "raffamelena/cog-sdxl:d792982bcf750d9a8a84b4cc780be20263c815bb26598729d17e432dc283a362",
    input={
        "vae": "default",
        "seed": -1,
        "model": "xl_pony",
        "steps": 35,
        "width": 1184,
        "height": 864,
        "prompt": "1girl",
        "strength": 0.7,
        "cfg_scale": 7,
        "clip_skip": 1,
        "scheduler": "DPM++ 2M SDE Karras",
        "batch_size": 1,
        "blur_factor": 5,
        "negative_prompt": "animal, cat, dog, big breasts",
        "guidance_rescale": 0.7,
        "prepend_preprompt": True
    }
)
print(output)

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

Run raffamelena/cog-sdxl 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": "raffamelena/cog-sdxl:d792982bcf750d9a8a84b4cc780be20263c815bb26598729d17e432dc283a362",
    "input": {
      "vae": "default",
      "seed": -1,
      "model": "xl_pony",
      "steps": 35,
      "width": 1184,
      "height": 864,
      "prompt": "1girl",
      "strength": 0.7,
      "cfg_scale": 7,
      "clip_skip": 1,
      "scheduler": "DPM++ 2M SDE Karras",
      "batch_size": 1,
      "blur_factor": 5,
      "negative_prompt": "animal, cat, dog, big breasts",
      "guidance_rescale": 0.7,
      "prepend_preprompt": true
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-06T07:45:38.555597Z",
  "created_at": "2024-10-06T07:44:14.947000Z",
  "data_removed": false,
  "error": null,
  "id": "rx8h5pa0cdrj20cjc34v8cxrzg",
  "input": {
    "vae": "default",
    "seed": -1,
    "model": "xl_pony",
    "steps": 35,
    "width": 1184,
    "height": 864,
    "prompt": "1girl",
    "strength": 0.7,
    "cfg_scale": 7,
    "clip_skip": 1,
    "scheduler": "DPM++ 2M SDE Karras",
    "batch_size": 1,
    "blur_factor": 5,
    "negative_prompt": "animal, cat, dog, big breasts",
    "guidance_rescale": 0.7,
    "prepend_preprompt": true
  },
  "logs": "Using text to image mode.\nUsing seed: 231444193\n  0%|          | 0/35 [00:00<?, ?it/s]\n  3%|▎         | 1/35 [00:00<00:07,  4.34it/s]\n  9%|▊         | 3/35 [00:00<00:03,  8.70it/s]\n 14%|█▍        | 5/35 [00:00<00:03,  9.36it/s]\n 20%|██        | 7/35 [00:00<00:02,  9.66it/s]\n 26%|██▌       | 9/35 [00:00<00:02,  9.81it/s]\n 31%|███▏      | 11/35 [00:01<00:02,  9.90it/s]\n 37%|███▋      | 13/35 [00:01<00:02,  9.96it/s]\n 43%|████▎     | 15/35 [00:01<00:01, 10.00it/s]\n 49%|████▊     | 17/35 [00:01<00:01, 10.03it/s]\n 54%|█████▍    | 19/35 [00:01<00:01, 10.04it/s]\n 60%|██████    | 21/35 [00:02<00:01, 10.05it/s]\n 66%|██████▌   | 23/35 [00:02<00:01, 10.06it/s]\n 71%|███████▏  | 25/35 [00:02<00:00, 10.07it/s]\n 77%|███████▋  | 27/35 [00:02<00:00, 10.07it/s]\n 83%|████████▎ | 29/35 [00:02<00:00, 10.08it/s]\n 89%|████████▊ | 31/35 [00:03<00:00, 10.08it/s]\n 94%|█████████▍| 33/35 [00:03<00:00, 10.07it/s]\n100%|██████████| 35/35 [00:03<00:00, 10.07it/s]\n100%|██████████| 35/35 [00:03<00:00,  9.85it/s]",
  "metrics": {
    "predict_time": 5.743744088,
    "total_time": 83.608597
  },
  "output": [
    "https://replicate.delivery/yhqm/AY2aHe6JTfm1jE5vwaonYFrgUsmN1f5joqKJCNBKnneIi8POB/0.png"
  ],
  "started_at": "2024-10-06T07:45:32.811853Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rx8h5pa0cdrj20cjc34v8cxrzg",
    "cancel": "https://api.replicate.com/v1/predictions/rx8h5pa0cdrj20cjc34v8cxrzg/cancel"
  },
  "version": "d792982bcf750d9a8a84b4cc780be20263c815bb26598729d17e432dc283a362"
}

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