Prediction

Model

lucataco/thinkdiffusionxl:c41c1275

fezk7clbhkwinigd5exfp7mr2q

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

8.0s

Created

about 2 years ago

Webhook

–

Input

prompt: cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous
negative_prompt: anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh
width: 1024
height: 1024
num_outputs: 1
scheduler: DPMSolverMultistep
num_inference_steps: 30
guidance_scale: 6
seed: 403
nsfw_checker: true

{
  "guidance_scale": 6,
  "height": 1024,
  "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
  "nsfw_checker": true,
  "num_inference_steps": 30,
  "num_outputs": 1,
  "prompt": "cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous",
  "scheduler": "DPMSolverMultistep",
  "seed": 403,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_0kL**********************************

This is your API token. Keep it to yourself.

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

const output = await replicate.run(
  "lucataco/thinkdiffusionxl:c41c12756b561bc81047a9307c9143589d158ef084655dbb3073b4f08ff54f32",
  {
    input: {
      guidance_scale: 6,
      height: 1024,
      negative_prompt: "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
      nsfw_checker: true,
      num_inference_steps: 30,
      num_outputs: 1,
      prompt: "cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous",
      scheduler: "DPMSolverMultistep",
      seed: 403,
      width: 1024
    }
  }
);

// 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_0kL**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/thinkdiffusionxl:c41c12756b561bc81047a9307c9143589d158ef084655dbb3073b4f08ff54f32",
    input={
        "guidance_scale": 6,
        "height": 1024,
        "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
        "nsfw_checker": True,
        "num_inference_steps": 30,
        "num_outputs": 1,
        "prompt": "cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous",
        "scheduler": "DPMSolverMultistep",
        "seed": 403,
        "width": 1024
    }
)

# 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_0kL**********************************

This is your API token. Keep it to yourself.

Run lucataco/thinkdiffusionxl 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/thinkdiffusionxl:c41c12756b561bc81047a9307c9143589d158ef084655dbb3073b4f08ff54f32",
    "input": {
      "guidance_scale": 6,
      "height": 1024,
      "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
      "nsfw_checker": true,
      "num_inference_steps": 30,
      "num_outputs": 1,
      "prompt": "cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous",
      "scheduler": "DPMSolverMultistep",
      "seed": 403,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "fezk7clbhkwinigd5exfp7mr2q",
  "model": "lucataco/thinkdiffusionxl",
  "version": "c41c12756b561bc81047a9307c9143589d158ef084655dbb3073b4f08ff54f32",
  "input": {
    "guidance_scale": 6,
    "height": 1024,
    "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
    "nsfw_checker": true,
    "num_inference_steps": 30,
    "num_outputs": 1,
    "prompt": "cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous",
    "scheduler": "DPMSolverMultistep",
    "seed": 403,
    "width": 1024
  },
  "logs": "Using seed: 403\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:05,  4.96it/s]\n 10%|█         | 3/30 [00:00<00:04,  6.18it/s]\n 13%|█▎        | 4/30 [00:00<00:04,  5.70it/s]\n 17%|█▋        | 5/30 [00:00<00:04,  5.44it/s]\n 20%|██        | 6/30 [00:01<00:04,  5.25it/s]\n 23%|██▎       | 7/30 [00:01<00:04,  5.15it/s]\n 27%|██▋       | 8/30 [00:01<00:04,  5.08it/s]\n 30%|███       | 9/30 [00:01<00:04,  5.04it/s]\n 33%|███▎      | 10/30 [00:01<00:03,  5.01it/s]\n 37%|███▋      | 11/30 [00:02<00:03,  4.98it/s]\n 40%|████      | 12/30 [00:02<00:03,  4.96it/s]\n 43%|████▎     | 13/30 [00:02<00:03,  4.95it/s]\n 47%|████▋     | 14/30 [00:02<00:03,  4.95it/s]\n 50%|█████     | 15/30 [00:02<00:03,  4.94it/s]\n 53%|█████▎    | 16/30 [00:03<00:02,  4.93it/s]\n 57%|█████▋    | 17/30 [00:03<00:02,  4.93it/s]\n 60%|██████    | 18/30 [00:03<00:02,  4.92it/s]\n 63%|██████▎   | 19/30 [00:03<00:02,  4.92it/s]\n 67%|██████▋   | 20/30 [00:03<00:02,  4.92it/s]\n 70%|███████   | 21/30 [00:04<00:01,  4.92it/s]\n 73%|███████▎  | 22/30 [00:04<00:01,  4.91it/s]\n 77%|███████▋  | 23/30 [00:04<00:01,  4.91it/s]\n 80%|████████  | 24/30 [00:04<00:01,  4.92it/s]\n 83%|████████▎ | 25/30 [00:04<00:01,  4.92it/s]\n 87%|████████▋ | 26/30 [00:05<00:00,  4.92it/s]\n 90%|█████████ | 27/30 [00:05<00:00,  4.91it/s]\n 93%|█████████▎| 28/30 [00:05<00:00,  4.91it/s]\n 97%|█████████▋| 29/30 [00:05<00:00,  4.91it/s]\n100%|██████████| 30/30 [00:05<00:00,  4.91it/s]\n100%|██████████| 30/30 [00:05<00:00,  5.02it/s]",
  "output": [
    "https://replicate.delivery/pbxt/mfzcQjPBtjUCMaIKko5AqlwS6DL4VRB8DqBUq1fc8q8Bgy1RA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-11-06T23:25:46.334249Z",
  "started_at": "2023-11-06T23:25:46.304839Z",
  "completed_at": "2023-11-06T23:25:54.366426Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/fezk7clbhkwinigd5exfp7mr2q/cancel",
    "get": "https://api.replicate.com/v1/predictions/fezk7clbhkwinigd5exfp7mr2q"
  },
  "metrics": {
    "predict_time": 8.061587,
    "total_time": 8.032177
  }
}

Generated in

8.1 seconds

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