cocacha12 / mark-flux

model: dev
prompt: TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography. dark background.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography. dark background.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
  {
    input: {
      model: "dev",
      prompt: "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography. dark background.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    input={
        "model": "dev",
        "prompt": "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography. dark background.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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 cocacha12/mark-flux 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": "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    "input": {
      "model": "dev",
      "prompt": "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography. dark background.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-05T13:02:25.025190Z",
  "created_at": "2024-10-05T13:02:14.376000Z",
  "data_removed": false,
  "error": null,
  "id": "c056e6r5d1rm00cjbk3atejje8",
  "input": {
    "model": "dev",
    "prompt": "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography. dark background.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 36209\nPrompt: TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography. dark background.\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.63s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.21it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.05it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.98it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.94it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.92it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.91it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.90it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.89it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.89it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.88it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.88it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.88it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.88it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.88it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.88it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.88it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.88it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.88it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.88it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.88it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.88it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.88it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.88it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.88it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.88it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.88it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.88it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.90it/s]",
  "metrics": {
    "predict_time": 10.638216423,
    "total_time": 10.64919
  },
  "output": [
    "https://replicate.delivery/yhqm/fRs3WvNbQCTIXq1D7qFeTIA7ox4axf5lGQtKUm6QCd9CXdHnA/out-0.webp"
  ],
  "started_at": "2024-10-05T13:02:14.386973Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/c056e6r5d1rm00cjbk3atejje8",
    "cancel": "https://api.replicate.com/v1/predictions/c056e6r5d1rm00cjbk3atejje8/cancel"
  },
  "version": "428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4"
}

Generated in

10.6 seconds

Tweak it ShareReport

Prediction

cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4

Model

cocacha12/mark-flux:428c9711

panat5r2a5rm00cjbk49k44gp8

Status

Succeeded

Source

Web

Hardware

H100

Total duration

9.2s

Created

10 months ago

Input

image
model: dev
prompt: close-up, realistic, detailed
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "image": "https://replicate.delivery/pbxt/Lk4C8sP5WmpE64uTegjASzTvLxpOc5cIQSbw8qjNtcOXLXVp/replicate-prediction-7e9qce9wenrj00cj8easknzt9r.webp",
  "model": "dev",
  "prompt": "close-up, realistic, detailed",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Lk4C8sP5WmpE64uTegjASzTvLxpOc5cIQSbw8qjNtcOXLXVp/replicate-prediction-7e9qce9wenrj00cj8easknzt9r.webp",
      model: "dev",
      prompt: "close-up, realistic, detailed",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    input={
        "image": "https://replicate.delivery/pbxt/Lk4C8sP5WmpE64uTegjASzTvLxpOc5cIQSbw8qjNtcOXLXVp/replicate-prediction-7e9qce9wenrj00cj8easknzt9r.webp",
        "model": "dev",
        "prompt": "close-up, realistic, detailed",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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 cocacha12/mark-flux 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": "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    "input": {
      "image": "https://replicate.delivery/pbxt/Lk4C8sP5WmpE64uTegjASzTvLxpOc5cIQSbw8qjNtcOXLXVp/replicate-prediction-7e9qce9wenrj00cj8easknzt9r.webp",
      "model": "dev",
      "prompt": "close-up, realistic, detailed",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-05T13:04:33.809535Z",
  "created_at": "2024-10-05T13:04:24.657000Z",
  "data_removed": false,
  "error": null,
  "id": "panat5r2a5rm00cjbk49k44gp8",
  "input": {
    "image": "https://replicate.delivery/pbxt/Lk4C8sP5WmpE64uTegjASzTvLxpOc5cIQSbw8qjNtcOXLXVp/replicate-prediction-7e9qce9wenrj00cj8easknzt9r.webp",
    "model": "dev",
    "prompt": "close-up, realistic, detailed",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 22505\nPrompt: close-up, realistic, detailed\n[!] Resizing input image from 1024x1024 to 1024x1024\n[!] img2img mode\n[!] Using dev model for img2img\nUsing dev model\nLoaded LoRAs in 0.60s\n  0%|          | 0/23 [00:00<?, ?it/s]\n  4%|▍         | 1/23 [00:00<00:06,  3.50it/s]\n  9%|▊         | 2/23 [00:00<00:06,  3.11it/s]\n 13%|█▎        | 3/23 [00:00<00:06,  3.00it/s]\n 17%|█▋        | 4/23 [00:01<00:06,  2.95it/s]\n 22%|██▏       | 5/23 [00:01<00:06,  2.93it/s]\n 26%|██▌       | 6/23 [00:02<00:05,  2.91it/s]\n 30%|███       | 7/23 [00:02<00:05,  2.90it/s]\n 35%|███▍      | 8/23 [00:02<00:05,  2.89it/s]\n 39%|███▉      | 9/23 [00:03<00:04,  2.89it/s]\n 43%|████▎     | 10/23 [00:03<00:04,  2.89it/s]\n 48%|████▊     | 11/23 [00:03<00:04,  2.89it/s]\n 52%|█████▏    | 12/23 [00:04<00:03,  2.88it/s]\n 57%|█████▋    | 13/23 [00:04<00:03,  2.88it/s]\n 61%|██████    | 14/23 [00:04<00:03,  2.88it/s]\n 65%|██████▌   | 15/23 [00:05<00:02,  2.88it/s]\n 70%|██████▉   | 16/23 [00:05<00:02,  2.88it/s]\n 74%|███████▍  | 17/23 [00:05<00:02,  2.88it/s]\n 78%|███████▊  | 18/23 [00:06<00:01,  2.88it/s]\n 83%|████████▎ | 19/23 [00:06<00:01,  2.88it/s]\n 87%|████████▋ | 20/23 [00:06<00:01,  2.88it/s]\n 91%|█████████▏| 21/23 [00:07<00:00,  2.88it/s]\n 96%|█████████▌| 22/23 [00:07<00:00,  2.88it/s]\n100%|██████████| 23/23 [00:07<00:00,  2.88it/s]\n100%|██████████| 23/23 [00:07<00:00,  2.90it/s]",
  "metrics": {
    "predict_time": 9.142120787,
    "total_time": 9.152535
  },
  "output": [
    "https://replicate.delivery/yhqm/Lgd5WqycSj5HPppUltUa8ud4pGemlBFIBl1kbRNsOuuwW3xJA/out-0.webp"
  ],
  "started_at": "2024-10-05T13:04:24.667414Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/panat5r2a5rm00cjbk49k44gp8",
    "cancel": "https://api.replicate.com/v1/predictions/panat5r2a5rm00cjbk49k44gp8/cancel"
  },
  "version": "428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4"
}

Generated in

9.2 seconds

Tweak it ShareReport

Prediction

cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4

Model

cocacha12/mark-flux:428c9711

bjveyrw3snrj20cj81g9averv4

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

84.1s

Created

10 months ago

Input

model: dev
prompt: TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
  {
    input: {
      model: "dev",
      prompt: "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    input={
        "model": "dev",
        "prompt": "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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 cocacha12/mark-flux 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": "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    "input": {
      "model": "dev",
      "prompt": "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-09-30T00:43:24.072852Z",
  "created_at": "2024-09-30T00:42:00.013000Z",
  "data_removed": false,
  "error": null,
  "id": "bjveyrw3snrj20cj81g9averv4",
  "input": {
    "model": "dev",
    "prompt": "TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 32834\nPrompt: TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography.\n[!] txt2img mode\nUsing dev model\nfree=3722081525760\nDownloading weights\n2024-09-30T00:43:03Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpcmzue8aa/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\n2024-09-30T00:43:04Z | INFO  | [ Complete ] dest=/tmp/tmpcmzue8aa/weights size=\"172 MB\" total_elapsed=1.351s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\nDownloaded weights in 1.38s\nLoaded LoRAs in 2.17s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:17,  1.55it/s]\n  7%|▋         | 2/28 [00:01<00:14,  1.75it/s]\n 11%|█         | 3/28 [00:01<00:15,  1.65it/s]\n 14%|█▍        | 4/28 [00:02<00:14,  1.61it/s]\n 18%|█▊        | 5/28 [00:03<00:14,  1.58it/s]\n 21%|██▏       | 6/28 [00:03<00:14,  1.57it/s]\n 25%|██▌       | 7/28 [00:04<00:13,  1.56it/s]\n 29%|██▊       | 8/28 [00:05<00:12,  1.56it/s]\n 32%|███▏      | 9/28 [00:05<00:12,  1.55it/s]\n 36%|███▌      | 10/28 [00:06<00:11,  1.55it/s]\n 39%|███▉      | 11/28 [00:06<00:10,  1.55it/s]\n 43%|████▎     | 12/28 [00:07<00:10,  1.55it/s]\n 46%|████▋     | 13/28 [00:08<00:09,  1.55it/s]\n 50%|█████     | 14/28 [00:08<00:09,  1.55it/s]\n 54%|█████▎    | 15/28 [00:09<00:08,  1.54it/s]\n 57%|█████▋    | 16/28 [00:10<00:07,  1.54it/s]\n 61%|██████    | 17/28 [00:10<00:07,  1.54it/s]\n 64%|██████▍   | 18/28 [00:11<00:06,  1.54it/s]\n 68%|██████▊   | 19/28 [00:12<00:05,  1.54it/s]\n 71%|███████▏  | 20/28 [00:12<00:05,  1.54it/s]\n 75%|███████▌  | 21/28 [00:13<00:04,  1.54it/s]\n 79%|███████▊  | 22/28 [00:14<00:03,  1.54it/s]\n 82%|████████▏ | 23/28 [00:14<00:03,  1.54it/s]\n 86%|████████▌ | 24/28 [00:15<00:02,  1.54it/s]\n 89%|████████▉ | 25/28 [00:16<00:01,  1.54it/s]\n 93%|█████████▎| 26/28 [00:16<00:01,  1.54it/s]\n 96%|█████████▋| 27/28 [00:17<00:00,  1.54it/s]\n100%|██████████| 28/28 [00:18<00:00,  1.54it/s]\n100%|██████████| 28/28 [00:18<00:00,  1.56it/s]",
  "metrics": {
    "predict_time": 20.926052711,
    "total_time": 84.059852
  },
  "output": [
    "https://replicate.delivery/yhqm/Jb6FVq50jiIWOtcTTAZQcSI8KLPhJ0wFXPFUWDWzQ3yKmewJA/out-0.webp"
  ],
  "started_at": "2024-09-30T00:43:03.146800Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/bjveyrw3snrj20cj81g9averv4",
    "cancel": "https://api.replicate.com/v1/predictions/bjveyrw3snrj20cj81g9averv4/cancel"
  },
  "version": "428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4"
}

Generated in

20.9 seconds

Tweak it ShareReport

Using seed: 32834
Prompt: TOK as a viking warrior ragnar lothbrok from vikings serie, close-up, proffesional photography.
[!] txt2img mode
Using dev model
free=3722081525760
Downloading weights
2024-09-30T00:43:03Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpcmzue8aa/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
2024-09-30T00:43:04Z | INFO  | [ Complete ] dest=/tmp/tmpcmzue8aa/weights size="172 MB" total_elapsed=1.351s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
Downloaded weights in 1.38s
Loaded LoRAs in 2.17s
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Prediction

cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4

Model

cocacha12/mark-flux:428c9711

74khhcpyg9rj60cj81vs2hjmbr

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

20.5s

Created

10 months ago

Input

model: dev
prompt: A medium shot of TOK as a Louis XIII, now relaxed, standing in his grand hall, smiling with relief after the Spanish retreat. He is again in his blue royal attire with gold details. The camera (50mm lens) focuses on his expression, capturing the joy and pride in his face. The room is warmly lit with sunlight streaming through stained-glass windows, and the rich details of the gothic architecture are visible in the background. Shot in 6K to highlight the texture in the room and the realism in Louis’s expression.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "A medium shot of TOK as a Louis XIII, now relaxed, standing in his grand hall, smiling with relief after the Spanish retreat. He is again in his blue royal attire with gold details. The camera (50mm lens) focuses on his expression, capturing the joy and pride in his face. The room is warmly lit with sunlight streaming through stained-glass windows, and the rich details of the gothic architecture are visible in the background. Shot in 6K to highlight the texture in the room and the realism in Louis’s expression.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
  {
    input: {
      model: "dev",
      prompt: "A medium shot of TOK as a Louis XIII, now relaxed, standing in his grand hall, smiling with relief after the Spanish retreat. He is again in his blue royal attire with gold details. The camera (50mm lens) focuses on his expression, capturing the joy and pride in his face. The room is warmly lit with sunlight streaming through stained-glass windows, and the rich details of the gothic architecture are visible in the background. Shot in 6K to highlight the texture in the room and the realism in Louis’s expression.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    input={
        "model": "dev",
        "prompt": "A medium shot of TOK as a Louis XIII, now relaxed, standing in his grand hall, smiling with relief after the Spanish retreat. He is again in his blue royal attire with gold details. The camera (50mm lens) focuses on his expression, capturing the joy and pride in his face. The room is warmly lit with sunlight streaming through stained-glass windows, and the rich details of the gothic architecture are visible in the background. Shot in 6K to highlight the texture in the room and the realism in Louis’s expression.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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 cocacha12/mark-flux 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": "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    "input": {
      "model": "dev",
      "prompt": "A medium shot of TOK as a Louis XIII, now relaxed, standing in his grand hall, smiling with relief after the Spanish retreat. He is again in his blue royal attire with gold details. The camera (50mm lens) focuses on his expression, capturing the joy and pride in his face. The room is warmly lit with sunlight streaming through stained-glass windows, and the rich details of the gothic architecture are visible in the background. Shot in 6K to highlight the texture in the room and the realism in Louis’s expression.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-09-30T01:07:51.020644Z",
  "created_at": "2024-09-30T01:07:30.562000Z",
  "data_removed": false,
  "error": null,
  "id": "74khhcpyg9rj60cj81vs2hjmbr",
  "input": {
    "model": "dev",
    "prompt": "A medium shot of TOK as a Louis XIII, now relaxed, standing in his grand hall, smiling with relief after the Spanish retreat. He is again in his blue royal attire with gold details. The camera (50mm lens) focuses on his expression, capturing the joy and pride in his face. The room is warmly lit with sunlight streaming through stained-glass windows, and the rich details of the gothic architecture are visible in the background. Shot in 6K to highlight the texture in the room and the realism in Louis’s expression.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 47434\nPrompt: A medium shot of TOK as a Louis XIII, now relaxed, standing in his grand hall, smiling with relief after the Spanish retreat. He is again in his blue royal attire with gold details. The camera (50mm lens) focuses on his expression, capturing the joy and pride in his face. The room is warmly lit with sunlight streaming through stained-glass windows, and the rich details of the gothic architecture are visible in the background. Shot in 6K to highlight the texture in the room and the realism in Louis’s expression.\n[!] txt2img mode\nUsing dev model\nfree=3057428692992\nDownloading weights\n2024-09-30T01:07:30Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpqhbhe5kx/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\n2024-09-30T01:07:31Z | INFO  | [ Complete ] dest=/tmp/tmpqhbhe5kx/weights size=\"172 MB\" total_elapsed=1.105s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\nDownloaded weights in 1.14s\nLoaded LoRAs in 1.80s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:17,  1.55it/s]\n  7%|▋         | 2/28 [00:01<00:14,  1.75it/s]\n 11%|█         | 3/28 [00:01<00:15,  1.66it/s]\n 14%|█▍        | 4/28 [00:02<00:14,  1.62it/s]\n 18%|█▊        | 5/28 [00:03<00:14,  1.59it/s]\n 21%|██▏       | 6/28 [00:03<00:13,  1.58it/s]\n 25%|██▌       | 7/28 [00:04<00:13,  1.57it/s]\n 29%|██▊       | 8/28 [00:05<00:12,  1.57it/s]\n 32%|███▏      | 9/28 [00:05<00:12,  1.56it/s]\n 36%|███▌      | 10/28 [00:06<00:11,  1.56it/s]\n 39%|███▉      | 11/28 [00:06<00:10,  1.56it/s]\n 43%|████▎     | 12/28 [00:07<00:10,  1.56it/s]\n 46%|████▋     | 13/28 [00:08<00:09,  1.55it/s]\n 50%|█████     | 14/28 [00:08<00:09,  1.55it/s]\n 54%|█████▎    | 15/28 [00:09<00:08,  1.55it/s]\n 57%|█████▋    | 16/28 [00:10<00:07,  1.55it/s]\n 61%|██████    | 17/28 [00:10<00:07,  1.55it/s]\n 64%|██████▍   | 18/28 [00:11<00:06,  1.55it/s]\n 68%|██████▊   | 19/28 [00:12<00:05,  1.55it/s]\n 71%|███████▏  | 20/28 [00:12<00:05,  1.55it/s]\n 75%|███████▌  | 21/28 [00:13<00:04,  1.55it/s]\n 79%|███████▊  | 22/28 [00:14<00:03,  1.55it/s]\n 82%|████████▏ | 23/28 [00:14<00:03,  1.55it/s]\n 86%|████████▌ | 24/28 [00:15<00:02,  1.55it/s]\n 89%|████████▉ | 25/28 [00:15<00:01,  1.55it/s]\n 93%|█████████▎| 26/28 [00:16<00:01,  1.55it/s]\n 96%|█████████▋| 27/28 [00:17<00:00,  1.55it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.55it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.56it/s]",
  "metrics": {
    "predict_time": 20.43584266,
    "total_time": 20.458644
  },
  "output": [
    "https://replicate.delivery/yhqm/0AaEJXyVdA5PK1yJAq2QtSecGIqRJtyAmYierxxjDC4mv6hTA/out-0.webp"
  ],
  "started_at": "2024-09-30T01:07:30.584801Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/74khhcpyg9rj60cj81vs2hjmbr",
    "cancel": "https://api.replicate.com/v1/predictions/74khhcpyg9rj60cj81vs2hjmbr/cancel"
  },
  "version": "428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4"
}

Generated in

20.4 seconds

Tweak it ShareReport

Using seed: 47434
Prompt: A medium shot of TOK as a Louis XIII, now relaxed, standing in his grand hall, smiling with relief after the Spanish retreat. He is again in his blue royal attire with gold details. The camera (50mm lens) focuses on his expression, capturing the joy and pride in his face. The room is warmly lit with sunlight streaming through stained-glass windows, and the rich details of the gothic architecture are visible in the background. Shot in 6K to highlight the texture in the room and the realism in Louis’s expression.
[!] txt2img mode
Using dev model
free=3057428692992
Downloading weights
2024-09-30T01:07:30Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpqhbhe5kx/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
2024-09-30T01:07:31Z | INFO  | [ Complete ] dest=/tmp/tmpqhbhe5kx/weights size="172 MB" total_elapsed=1.105s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
Downloaded weights in 1.14s
Loaded LoRAs in 1.80s
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Prediction

cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4

Model

cocacha12/mark-flux:428c9711

w8mshpxsvhrj60cj8dntwfqtkm

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

4m 27s

Created

10 months ago

Input

model: dev
prompt: TOK speaking onstage from google, white background with corporate logos blurred out, speaks into a microphone at a google I/O and wears a google tag on Google tag is a Google logo and under that the inscription "Google" and under that name "Marco Chavez"
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "TOK speaking onstage from google, white background with corporate logos blurred out, speaks into a microphone at a google I/O and wears a google tag on Google tag is a Google logo and under that the inscription \"Google\" and under that name \"Marco Chavez\"",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
  {
    input: {
      model: "dev",
      prompt: "TOK speaking onstage from google, white background with corporate logos blurred out, speaks into a microphone at a google I/O and wears a google tag on Google tag is a Google logo and under that the inscription \"Google\" and under that name \"Marco Chavez\"",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    input={
        "model": "dev",
        "prompt": "TOK speaking onstage from google, white background with corporate logos blurred out, speaks into a microphone at a google I/O and wears a google tag on Google tag is a Google logo and under that the inscription \"Google\" and under that name \"Marco Chavez\"",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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 cocacha12/mark-flux 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": "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    "input": {
      "model": "dev",
      "prompt": "TOK speaking onstage from google, white background with corporate logos blurred out, speaks into a microphone at a google I/O and wears a google tag on Google tag is a Google logo and under that the inscription \\"Google\\" and under that name \\"Marco Chavez\\"",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-09-30T14:57:33.054029Z",
  "created_at": "2024-09-30T14:53:06.396000Z",
  "data_removed": false,
  "error": null,
  "id": "w8mshpxsvhrj60cj8dntwfqtkm",
  "input": {
    "model": "dev",
    "prompt": "TOK speaking onstage from google, white background with corporate logos blurred out, speaks into a microphone at a google I/O and wears a google tag on Google tag is a Google logo and under that the inscription \"Google\" and under that name \"Marco Chavez\"",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 41842\nPrompt: TOK speaking onstage from google, white background with corporate logos blurred out, speaks into a microphone at a google I/O and wears a google tag on Google tag is a Google logo and under that the inscription \"Google\" and under that name \"Marco Chavez\"\n[!] txt2img mode\nUsing dev model\nfree=3502695378944\nDownloading weights\n2024-09-30T14:57:11Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp4gohpwzx/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\n2024-09-30T14:57:13Z | INFO  | [ Complete ] dest=/tmp/tmp4gohpwzx/weights size=\"172 MB\" total_elapsed=1.976s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\nDownloaded weights in 2.01s\nLoaded LoRAs in 2.79s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:17,  1.55it/s]\n  7%|▋         | 2/28 [00:01<00:14,  1.74it/s]\n 11%|█         | 3/28 [00:01<00:15,  1.64it/s]\n 14%|█▍        | 4/28 [00:02<00:14,  1.60it/s]\n 18%|█▊        | 5/28 [00:03<00:14,  1.58it/s]\n 21%|██▏       | 6/28 [00:03<00:14,  1.57it/s]\n 25%|██▌       | 7/28 [00:04<00:13,  1.56it/s]\n 29%|██▊       | 8/28 [00:05<00:12,  1.55it/s]\n 32%|███▏      | 9/28 [00:05<00:12,  1.55it/s]\n 36%|███▌      | 10/28 [00:06<00:11,  1.54it/s]\n 39%|███▉      | 11/28 [00:07<00:11,  1.54it/s]\n 43%|████▎     | 12/28 [00:07<00:10,  1.54it/s]\n 46%|████▋     | 13/28 [00:08<00:09,  1.54it/s]\n 50%|█████     | 14/28 [00:08<00:09,  1.54it/s]\n 54%|█████▎    | 15/28 [00:09<00:08,  1.54it/s]\n 57%|█████▋    | 16/28 [00:10<00:07,  1.54it/s]\n 61%|██████    | 17/28 [00:10<00:07,  1.54it/s]\n 64%|██████▍   | 18/28 [00:11<00:06,  1.54it/s]\n 68%|██████▊   | 19/28 [00:12<00:05,  1.54it/s]\n 71%|███████▏  | 20/28 [00:12<00:05,  1.54it/s]\n 75%|███████▌  | 21/28 [00:13<00:04,  1.54it/s]\n 79%|███████▊  | 22/28 [00:14<00:03,  1.54it/s]\n 82%|████████▏ | 23/28 [00:14<00:03,  1.54it/s]\n 86%|████████▌ | 24/28 [00:15<00:02,  1.54it/s]\n 89%|████████▉ | 25/28 [00:16<00:01,  1.54it/s]\n 93%|█████████▎| 26/28 [00:16<00:01,  1.54it/s]\n 96%|█████████▋| 27/28 [00:17<00:00,  1.54it/s]\n100%|██████████| 28/28 [00:18<00:00,  1.54it/s]\n100%|██████████| 28/28 [00:18<00:00,  1.55it/s]",
  "metrics": {
    "predict_time": 21.584238174,
    "total_time": 266.658029
  },
  "output": [
    "https://replicate.delivery/yhqm/b7O4lAgkDvJYO9XZTn9BgqvnM6ednKD3fpX11TUGOuxc5GiTA/out-0.webp"
  ],
  "started_at": "2024-09-30T14:57:11.469790Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/w8mshpxsvhrj60cj8dntwfqtkm",
    "cancel": "https://api.replicate.com/v1/predictions/w8mshpxsvhrj60cj8dntwfqtkm/cancel"
  },
  "version": "428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4"
}

Generated in

21.6 seconds

Tweak it ShareReport

Using seed: 41842
Prompt: TOK speaking onstage from google, white background with corporate logos blurred out, speaks into a microphone at a google I/O and wears a google tag on Google tag is a Google logo and under that the inscription "Google" and under that name "Marco Chavez"
[!] txt2img mode
Using dev model
free=3502695378944
Downloading weights
2024-09-30T14:57:11Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp4gohpwzx/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
2024-09-30T14:57:13Z | INFO  | [ Complete ] dest=/tmp/tmp4gohpwzx/weights size="172 MB" total_elapsed=1.976s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
Downloaded weights in 2.01s
Loaded LoRAs in 2.79s
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Prediction

cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4

Model

cocacha12/mark-flux:428c9711

n2m0fsx09drm40cjv2jsd08qh0

Status

Succeeded

Source

Web

Hardware

H100

Total duration

13.9s

Created

9 months ago

Input

model: dev
prompt: TOK as a male viking warrior ragnar lothbrok from vikings serie, half body, long-hair, muscle
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "TOK as a male viking warrior ragnar lothbrok from vikings serie, half body, long-hair, muscle",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
  {
    input: {
      model: "dev",
      prompt: "TOK as a male viking warrior ragnar lothbrok from vikings serie, half body, long-hair, muscle",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    input={
        "model": "dev",
        "prompt": "TOK as a male viking warrior ragnar lothbrok from vikings serie, half body, long-hair, muscle",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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 cocacha12/mark-flux 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": "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    "input": {
      "model": "dev",
      "prompt": "TOK as a male viking warrior ragnar lothbrok from vikings serie, half body, long-hair, muscle",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-29T14:20:00.059178Z",
  "created_at": "2024-10-29T14:19:46.123000Z",
  "data_removed": false,
  "error": null,
  "id": "n2m0fsx09drm40cjv2jsd08qh0",
  "input": {
    "model": "dev",
    "prompt": "TOK as a male viking warrior ragnar lothbrok from vikings serie, half body, long-hair, muscle",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 20636\nPrompt: TOK as a male viking warrior ragnar lothbrok from vikings serie, half body, long-hair, muscle\n[!] txt2img mode\nUsing dev model\nfree=8922333937664\nDownloading weights\n2024-10-29T14:19:46Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp0j_00y5e/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\n2024-10-29T14:19:49Z | INFO  | [ Complete ] dest=/tmp/tmp0j_00y5e/weights size=\"172 MB\" total_elapsed=2.889s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\nDownloaded weights in 2.92s\nLoaded LoRAs in 3.66s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.21it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.05it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.98it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.94it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.92it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.91it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.90it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.90it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.89it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.89it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.89it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.89it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.89it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.89it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.89it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.89it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.89it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.89it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.89it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.89it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.88it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.89it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.88it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.88it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.88it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.88it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.88it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.90it/s]",
  "metrics": {
    "predict_time": 13.657769773,
    "total_time": 13.936178
  },
  "output": [
    "https://replicate.delivery/yhqm/qHxvYQceWlULZSEdTugCIqo4AABjPqQWKQKHBnX1itKIC11JA/out-0.webp"
  ],
  "started_at": "2024-10-29T14:19:46.401408Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/wcdb-6tvsfksfvccdtnj4o6cmsdq7n54gfl4sqzerkmswityl75doac6q",
    "get": "https://api.replicate.com/v1/predictions/n2m0fsx09drm40cjv2jsd08qh0",
    "cancel": "https://api.replicate.com/v1/predictions/n2m0fsx09drm40cjv2jsd08qh0/cancel"
  },
  "version": "428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4"
}

Generated in

13.7 seconds

Tweak it ShareReport

Using seed: 20636
Prompt: TOK as a male viking warrior ragnar lothbrok from vikings serie, half body, long-hair, muscle
[!] txt2img mode
Using dev model
free=8922333937664
Downloading weights
2024-10-29T14:19:46Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp0j_00y5e/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
2024-10-29T14:19:49Z | INFO  | [ Complete ] dest=/tmp/tmp0j_00y5e/weights size="172 MB" total_elapsed=2.889s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
Downloaded weights in 2.92s
Loaded LoRAs in 3.66s
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Prediction

cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4

Model

cocacha12/mark-flux:428c9711

2bfwtsc5qsrm00cjwh8vb0ehfg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

12.4s

Created

9 months ago

Input

model: dev
prompt: Portrait of a young handsome man standing in profile, with a serious and focused expression, wearing a fitted black T-shirt that highlights his muscular body. The setting is an indoor conference or lecture room full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Portrait of a young handsome man standing in profile, with a serious and focused expression, wearing a fitted black T-shirt that highlights his muscular body. The setting is an indoor conference or lecture room full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
  {
    input: {
      model: "dev",
      prompt: "Portrait of a young handsome man standing in profile, with a serious and focused expression, wearing a fitted black T-shirt that highlights his muscular body. The setting is an indoor conference or lecture room full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    input={
        "model": "dev",
        "prompt": "Portrait of a young handsome man standing in profile, with a serious and focused expression, wearing a fitted black T-shirt that highlights his muscular body. The setting is an indoor conference or lecture room full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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 cocacha12/mark-flux 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": "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    "input": {
      "model": "dev",
      "prompt": "Portrait of a young handsome man standing in profile, with a serious and focused expression, wearing a fitted black T-shirt that highlights his muscular body. The setting is an indoor conference or lecture room full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-31T20:43:33.335594Z",
  "created_at": "2024-10-31T20:43:20.894000Z",
  "data_removed": false,
  "error": null,
  "id": "2bfwtsc5qsrm00cjwh8vb0ehfg",
  "input": {
    "model": "dev",
    "prompt": "Portrait of a young handsome man standing in profile, with a serious and focused expression, wearing a fitted black T-shirt that highlights his muscular body. The setting is an indoor conference or lecture room full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 60276\nPrompt: Portrait of a young handsome man standing in profile, with a serious and focused expression, wearing a fitted black T-shirt that highlights his muscular body. The setting is an indoor conference or lecture room full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.\n[!] txt2img mode\nUsing dev model\nfree=6830469144576\nDownloading weights\n2024-10-31T20:43:20Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp669uk3as/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\n2024-10-31T20:43:22Z | INFO  | [ Complete ] dest=/tmp/tmp669uk3as/weights size=\"172 MB\" total_elapsed=1.671s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar\nDownloaded weights in 1.77s\nLoaded LoRAs in 2.46s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.21it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.05it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.98it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.95it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.92it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.91it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.90it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.90it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.89it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.89it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.89it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.89it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.89it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.89it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.89it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.89it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.89it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.89it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.89it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.89it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.89it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.89it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.89it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.89it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.89it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.89it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.89it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.90it/s]",
  "metrics": {
    "predict_time": 12.434512006,
    "total_time": 12.441594
  },
  "output": [
    "https://replicate.delivery/yhqm/fODC7Q2wztROdSYxnUrQA8fla5I1CKvxQt5itjr5hHp13ZsTA/out-0.webp"
  ],
  "started_at": "2024-10-31T20:43:20.901082Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/wcdb-lckzgztupynsrp4nxhyuf3b4uaxzqodlngv5ajc25mcpn6354dmq",
    "get": "https://api.replicate.com/v1/predictions/2bfwtsc5qsrm00cjwh8vb0ehfg",
    "cancel": "https://api.replicate.com/v1/predictions/2bfwtsc5qsrm00cjwh8vb0ehfg/cancel"
  },
  "version": "428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4"
}

Generated in

12.4 seconds

Tweak it ShareReport

Using seed: 60276
Prompt: Portrait of a young handsome man standing in profile, with a serious and focused expression, wearing a fitted black T-shirt that highlights his muscular body. The setting is an indoor conference or lecture room full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.
[!] txt2img mode
Using dev model
free=6830469144576
Downloading weights
2024-10-31T20:43:20Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp669uk3as/weights url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
2024-10-31T20:43:22Z | INFO  | [ Complete ] dest=/tmp/tmp669uk3as/weights size="172 MB" total_elapsed=1.671s url=https://replicate.delivery/yhqm/I7aaxyGuPSaKKtYkdFGNnFM5mp65Vao3LUzamknup9eNB9wJA/trained_model.tar
Downloaded weights in 1.77s
Loaded LoRAs in 2.46s
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Prediction

cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4

Model

cocacha12/mark-flux:428c9711

eap31q99kdrm40cjwhaaa6f87c

Status

Succeeded

Source

Web

Hardware

H100

Total duration

10.0s

Created

9 months ago

Input

model: dev
prompt: Portrait of a young handsome man standing in profile, in full body, with a serious and focused expression, wearing a oversized light grey T-shirt that highlights his muscular arms. The setting is an indoor conference (tech) full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Portrait of a young handsome man standing in profile, in full body, with a serious and focused expression, wearing a oversized light grey T-shirt that highlights his muscular arms. The setting is an indoor conference (tech) full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
  {
    input: {
      model: "dev",
      prompt: "Portrait of a young handsome man standing in profile, in full body, with a serious and focused expression, wearing a oversized light grey T-shirt that highlights his muscular arms. The setting is an indoor conference (tech) full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 cocacha12/mark-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    input={
        "model": "dev",
        "prompt": "Portrait of a young handsome man standing in profile, in full body, with a serious and focused expression, wearing a oversized light grey T-shirt that highlights his muscular arms. The setting is an indoor conference (tech) full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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 cocacha12/mark-flux 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": "cocacha12/mark-flux:428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4",
    "input": {
      "model": "dev",
      "prompt": "Portrait of a young handsome man standing in profile, in full body, with a serious and focused expression, wearing a oversized light grey T-shirt that highlights his muscular arms. The setting is an indoor conference (tech) full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-31T20:46:23.930421Z",
  "created_at": "2024-10-31T20:46:13.915000Z",
  "data_removed": false,
  "error": null,
  "id": "eap31q99kdrm40cjwhaaa6f87c",
  "input": {
    "model": "dev",
    "prompt": "Portrait of a young handsome man standing in profile, in full body, with a serious and focused expression, wearing a oversized light grey T-shirt that highlights his muscular arms. The setting is an indoor conference (tech) full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 18265\nPrompt: Portrait of a young handsome man standing in profile, in full body, with a serious and focused expression, wearing a oversized light grey T-shirt that highlights his muscular arms. The setting is an indoor conference (tech) full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.\n[!] txt2img mode\nUsing dev model\nWeights already loaded\nLoaded LoRAs in 0.03s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.21it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.05it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.98it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.95it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.92it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.91it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.90it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.90it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.89it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.89it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.89it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.89it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.89it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.89it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.89it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.89it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.89it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.89it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.89it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.89it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.89it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.89it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.89it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.89it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.89it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.89it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.89it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.90it/s]",
  "metrics": {
    "predict_time": 10.007312292,
    "total_time": 10.015421
  },
  "output": [
    "https://replicate.delivery/yhqm/PobQXRYUT6aXJtajzNCKbQ6MgiWvfmufBGf9MDGczkxepnxOB/out-0.webp"
  ],
  "started_at": "2024-10-31T20:46:13.923109Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/wcdb-arnxu7meep755ile65llkwi4xxp4jvv2iw6vpbhqaamkpooleyaq",
    "get": "https://api.replicate.com/v1/predictions/eap31q99kdrm40cjwhaaa6f87c",
    "cancel": "https://api.replicate.com/v1/predictions/eap31q99kdrm40cjwhaaa6f87c/cancel"
  },
  "version": "428c9711b99bced0303c8993a0c9e04a8f83089ec5fee474e22eea7b87e4b9b4"
}

Generated in

10.0 seconds

Tweak it ShareReport

Using seed: 18265
Prompt: Portrait of a young handsome man standing in profile, in full body, with a serious and focused expression, wearing a oversized light grey T-shirt that highlights his muscular arms. The setting is an indoor conference (tech) full of people (blurred), with a dim, professional ambiance. Behind him, there is a blurred projection screen displaying a Google logo. The lighting is soft, with subtle shadows on his face and body, giving the image a warm and composed feeling. His posture is confident, with hands clasped together in front of him, indicating a thoughtful or speaking moment.
[!] txt2img mode
Using dev model
Weights already loaded
Loaded LoRAs in 0.03s
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]
  7%|▋         | 2/28 [00:00<00:08,  3.21it/s]
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