Prediction

cjwbw/sd-textual-inversion-spyro-dragon:346f8db4

Model

cjwbw/sd-textual-inversion-spyro-dragon:346f8db4

mfclnihr3zhsvmc327o3ujqgeu

Status

Succeeded

Source

Web

Hardware

–

Total duration

5.4s

Created

about 3 years ago by @chenxwh

Input

prompt: Golden Gate Bridge in style of <spyro-dragon>
num_outputs: "1"
guidance_scale: 7.5
num_inference_steps: 50

{
  "prompt": "Golden Gate Bridge in style of <spyro-dragon>",
  "num_outputs": "1",
  "guidance_scale": 7.5,
  "num_inference_steps": 50
}

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 cjwbw/sd-textual-inversion-spyro-dragon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/sd-textual-inversion-spyro-dragon:346f8db48da21bd1bd7bcf05c326007b78dafd3d7306c04e05778846243a83c2",
  {
    input: {
      prompt: "Golden Gate Bridge in style of <spyro-dragon>",
      num_outputs: "1",
      guidance_scale: 7.5,
      num_inference_steps: 50
    }
  }
);

// 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 cjwbw/sd-textual-inversion-spyro-dragon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/sd-textual-inversion-spyro-dragon:346f8db48da21bd1bd7bcf05c326007b78dafd3d7306c04e05778846243a83c2",
    input={
        "prompt": "Golden Gate Bridge in style of <spyro-dragon>",
        "num_outputs": "1",
        "guidance_scale": 7.5,
        "num_inference_steps": 50
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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

Run cjwbw/sd-textual-inversion-spyro-dragon 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/sd-textual-inversion-spyro-dragon:346f8db48da21bd1bd7bcf05c326007b78dafd3d7306c04e05778846243a83c2",
    "input": {
      "prompt": "Golden Gate Bridge in style of <spyro-dragon>",
      "num_outputs": "1",
      "guidance_scale": 7.5,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-09-16T19:24:13.135498Z",
  "created_at": "2022-09-16T19:24:07.775793Z",
  "data_removed": false,
  "error": null,
  "id": "mfclnihr3zhsvmc327o3ujqgeu",
  "input": {
    "prompt": "Golden Gate Bridge in style of <spyro-dragon>",
    "num_outputs": "1",
    "guidance_scale": 7.5,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 17496\nGlobal seed set to 17496\n\n  0%|          | 0/51 [00:00<?, ?it/s]\n  4%|▍         | 2/51 [00:00<00:04, 12.03it/s]\n  8%|▊         | 4/51 [00:00<00:03, 12.00it/s]\n 12%|█▏        | 6/51 [00:00<00:03, 11.92it/s]\n 16%|█▌        | 8/51 [00:00<00:03, 11.84it/s]\n 20%|█▉        | 10/51 [00:00<00:03, 11.96it/s]\n 24%|██▎       | 12/51 [00:01<00:03, 11.99it/s]\n 27%|██▋       | 14/51 [00:01<00:03, 12.05it/s]\n 31%|███▏      | 16/51 [00:01<00:02, 12.09it/s]\n 35%|███▌      | 18/51 [00:01<00:02, 12.12it/s]\n 39%|███▉      | 20/51 [00:01<00:02, 12.11it/s]\n 43%|████▎     | 22/51 [00:01<00:02, 12.12it/s]\n 47%|████▋     | 24/51 [00:01<00:02, 11.95it/s]\n 51%|█████     | 26/51 [00:02<00:02, 12.08it/s]\n 55%|█████▍    | 28/51 [00:02<00:01, 12.13it/s]\n 59%|█████▉    | 30/51 [00:02<00:01, 12.18it/s]\n 63%|██████▎   | 32/51 [00:02<00:01, 12.22it/s]\n 67%|██████▋   | 34/51 [00:02<00:01, 12.23it/s]\n 71%|███████   | 36/51 [00:02<00:01, 12.24it/s]\n 75%|███████▍  | 38/51 [00:03<00:01, 11.98it/s]\n 78%|███████▊  | 40/51 [00:03<00:00, 12.07it/s]\n 82%|████████▏ | 42/51 [00:03<00:00, 12.05it/s]\n 86%|████████▋ | 44/51 [00:03<00:00, 12.12it/s]\n 90%|█████████ | 46/51 [00:03<00:00, 12.18it/s]\n 94%|█████████▍| 48/51 [00:03<00:00, 12.22it/s]\n 98%|█████████▊| 50/51 [00:04<00:00, 12.24it/s]\n100%|██████████| 51/51 [00:04<00:00, 12.11it/s]",
  "metrics": {
    "predict_time": 5.192694,
    "total_time": 5.359705
  },
  "output": [
    "https://replicate.delivery/mgxm/190cf37d-32d0-45fd-b5f4-3460f8c76c64/out-0.png"
  ],
  "started_at": "2022-09-16T19:24:07.942804Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/mfclnihr3zhsvmc327o3ujqgeu",
    "cancel": "https://api.replicate.com/v1/predictions/mfclnihr3zhsvmc327o3ujqgeu/cancel"
  },
  "version": "346f8db48da21bd1bd7bcf05c326007b78dafd3d7306c04e05778846243a83c2"
}

Generated in

5.2 seconds

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