lucataco/thinkdiffusionxl:c41c1275 | Run with an API on Replicate

Version

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lucataco /thinkdiffusionxl:c41c1275

Input

prompt

string

Shift + Return to add a new line

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, gorgeouscinematic 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

Input prompt

Default: "An astronaut riding a rainbow unicorn"

negative_prompt

string

Shift + Return to add a new line

anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokehanime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh

Input Negative Prompt

Default: ""

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

scheduler

string

scheduler

Default: "DPMSolverMultistep"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 30

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7

seed

integer

Random seed. Leave blank to randomize the seed

nsfw_checker

boolean

Select to filter for NSFW content

Default: true

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

npx create-replicate --model=lucataco/thinkdiffusionxl

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/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: {
      seed: 403,
      width: 1024,
      height: 1024,
      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",
      num_outputs: 1,
      nsfw_checker: true,
      guidance_scale: 6,
      negative_prompt: "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
      num_inference_steps: 30
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

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={
        "seed": 403,
        "width": 1024,
        "height": 1024,
        "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",
        "num_outputs": 1,
        "nsfw_checker": True,
        "guidance_scale": 6,
        "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
        "num_inference_steps": 30
    }
)
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/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": {
      "seed": 403,
      "width": 1024,
      "height": 1024,
      "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",
      "num_outputs": 1,
      "nsfw_checker": true,
      "guidance_scale": 6,
      "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-06T23:25:54.366426Z",
  "created_at": "2023-11-06T23:25:46.334249Z",
  "data_removed": false,
  "error": null,
  "id": "fezk7clbhkwinigd5exfp7mr2q",
  "input": {
    "seed": 403,
    "width": 1024,
    "height": 1024,
    "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",
    "num_outputs": 1,
    "nsfw_checker": true,
    "guidance_scale": 6,
    "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
    "num_inference_steps": 30
  },
  "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]",
  "metrics": {
    "predict_time": 8.061587,
    "total_time": 8.032177
  },
  "output": [
    "https://replicate.delivery/pbxt/mfzcQjPBtjUCMaIKko5AqlwS6DL4VRB8DqBUq1fc8q8Bgy1RA/out-0.png"
  ],
  "started_at": "2023-11-06T23:25:46.304839Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fezk7clbhkwinigd5exfp7mr2q",
    "cancel": "https://api.replicate.com/v1/predictions/fezk7clbhkwinigd5exfp7mr2q/cancel"
  },
  "version": "c41c12756b561bc81047a9307c9143589d158ef084655dbb3073b4f08ff54f32"
}

Generated in

8.1 seconds

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