Prediction

Model

jonathan-hubjam/jonathan-flux2:9c9c3fc6

bpcg0hf0rsrm40chza6r5sy20m

Status

Succeeded

Source

Web

Hardware

H100

Total duration

30.7s

Created

over 1 year ago

Webhook

–

Input

prompt: photo of JONSHUBJAM2 a bald man as a medieval knight.
aspect_ratio: 1:1
prompt_strength: 0.8
model: dev
num_outputs: 1
num_inference_steps: 32
guidance_scale: 6.04
output_format: png
output_quality: 90
lora_scale: 0.9
extra_lora_scale: 1

{
  "aspect_ratio": "1:1",
  "extra_lora_scale": 1,
  "guidance_scale": 6.04,
  "lora_scale": 0.9,
  "model": "dev",
  "num_inference_steps": 32,
  "num_outputs": 1,
  "output_format": "png",
  "output_quality": 90,
  "prompt": "photo of JONSHUBJAM2 a bald man as a medieval knight.",
  "prompt_strength": 0.8
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_3Ds**********************************

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 jonathan-hubjam/jonathan-flux2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jonathan-hubjam/jonathan-flux2:9c9c3fc64279fe816ffbfd86d01b28ddcbe273e88fe5ee8e9d1cad5995d7be7a",
  {
    input: {
      aspect_ratio: "1:1",
      extra_lora_scale: 1,
      guidance_scale: 6.04,
      lora_scale: 0.9,
      model: "dev",
      num_inference_steps: 32,
      num_outputs: 1,
      output_format: "png",
      output_quality: 90,
      prompt: "photo of JONSHUBJAM2 a bald man as a medieval knight.",
      prompt_strength: 0.8
    }
  }
);

// 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_3Ds**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run jonathan-hubjam/jonathan-flux2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jonathan-hubjam/jonathan-flux2:9c9c3fc64279fe816ffbfd86d01b28ddcbe273e88fe5ee8e9d1cad5995d7be7a",
    input={
        "aspect_ratio": "1:1",
        "extra_lora_scale": 1,
        "guidance_scale": 6.04,
        "lora_scale": 0.9,
        "model": "dev",
        "num_inference_steps": 32,
        "num_outputs": 1,
        "output_format": "png",
        "output_quality": 90,
        "prompt": "photo of JONSHUBJAM2 a bald man as a medieval knight.",
        "prompt_strength": 0.8
    }
)

# 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_3Ds**********************************

This is your API token. Keep it to yourself.

Run jonathan-hubjam/jonathan-flux2 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": "jonathan-hubjam/jonathan-flux2:9c9c3fc64279fe816ffbfd86d01b28ddcbe273e88fe5ee8e9d1cad5995d7be7a",
    "input": {
      "aspect_ratio": "1:1",
      "extra_lora_scale": 1,
      "guidance_scale": 6.04,
      "lora_scale": 0.9,
      "model": "dev",
      "num_inference_steps": 32,
      "num_outputs": 1,
      "output_format": "png",
      "output_quality": 90,
      "prompt": "photo of JONSHUBJAM2 a bald man as a medieval knight.",
      "prompt_strength": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "bpcg0hf0rsrm40chza6r5sy20m",
  "model": "jonathan-hubjam/jonathan-flux2",
  "version": "9c9c3fc64279fe816ffbfd86d01b28ddcbe273e88fe5ee8e9d1cad5995d7be7a",
  "input": {
    "aspect_ratio": "1:1",
    "extra_lora_scale": 1,
    "guidance_scale": 6.04,
    "lora_scale": 0.9,
    "model": "dev",
    "num_inference_steps": 32,
    "num_outputs": 1,
    "output_format": "png",
    "output_quality": 90,
    "prompt": "photo of JONSHUBJAM2 a bald man as a medieval knight.",
    "prompt_strength": 0.8
  },
  "logs": "Using seed: 54910\nPrompt: photo of JONSHUBJAM2 a bald man as a medieval knight.\n[!] txt2img mode\nUsing dev model\nfree=6936407736320\nDownloading weights\n2024-09-16T11:18:17Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpj_4wfj67/weights url=https://replicate.delivery/yhqm/Bl0KBnLareS2JClnT2Vrl8nH0cZeGWqUFvbX9fQhbQ1nC54mA/trained_model.tar\n2024-09-16T11:18:22Z | INFO  | [ Complete ] dest=/tmp/tmpj_4wfj67/weights size=\"172 MB\" total_elapsed=4.210s url=https://replicate.delivery/yhqm/Bl0KBnLareS2JClnT2Vrl8nH0cZeGWqUFvbX9fQhbQ1nC54mA/trained_model.tar\nDownloaded weights in 4.25s\nLoaded LoRAs in 10.99s\n  0%|          | 0/32 [00:00<?, ?it/s]\n  3%|▎         | 1/32 [00:00<00:09,  3.39it/s]\n  6%|▋         | 2/32 [00:00<00:07,  3.77it/s]\n  9%|▉         | 3/32 [00:00<00:08,  3.62it/s]\n 12%|█▎        | 4/32 [00:01<00:07,  3.56it/s]\n 16%|█▌        | 5/32 [00:01<00:07,  3.53it/s]\n 19%|█▉        | 6/32 [00:01<00:07,  3.51it/s]\n 22%|██▏       | 7/32 [00:01<00:07,  3.50it/s]\n 25%|██▌       | 8/32 [00:02<00:06,  3.49it/s]\n 28%|██▊       | 9/32 [00:02<00:06,  3.49it/s]\n 31%|███▏      | 10/32 [00:02<00:06,  3.48it/s]\n 34%|███▍      | 11/32 [00:03<00:06,  3.48it/s]\n 38%|███▊      | 12/32 [00:03<00:05,  3.48it/s]\n 41%|████      | 13/32 [00:03<00:05,  3.48it/s]\n 44%|████▍     | 14/32 [00:03<00:05,  3.48it/s]\n 47%|████▋     | 15/32 [00:04<00:04,  3.48it/s]\n 50%|█████     | 16/32 [00:04<00:04,  3.47it/s]\n 53%|█████▎    | 17/32 [00:04<00:04,  3.47it/s]\n 56%|█████▋    | 18/32 [00:05<00:04,  3.48it/s]\n 59%|█████▉    | 19/32 [00:05<00:03,  3.47it/s]\n 62%|██████▎   | 20/32 [00:05<00:03,  3.47it/s]\n 66%|██████▌   | 21/32 [00:06<00:03,  3.47it/s]\n 69%|██████▉   | 22/32 [00:06<00:02,  3.47it/s]\n 72%|███████▏  | 23/32 [00:06<00:02,  3.47it/s]\n 75%|███████▌  | 24/32 [00:06<00:02,  3.47it/s]\n 78%|███████▊  | 25/32 [00:07<00:02,  3.47it/s]\n 81%|████████▏ | 26/32 [00:07<00:01,  3.48it/s]\n 84%|████████▍ | 27/32 [00:07<00:01,  3.47it/s]\n 88%|████████▊ | 28/32 [00:08<00:01,  3.48it/s]\n 91%|█████████ | 29/32 [00:08<00:00,  3.47it/s]\n 94%|█████████▍| 30/32 [00:08<00:00,  3.48it/s]\n 97%|█████████▋| 31/32 [00:08<00:00,  3.48it/s]\n100%|██████████| 32/32 [00:09<00:00,  3.47it/s]\n100%|██████████| 32/32 [00:09<00:00,  3.49it/s]",
  "output": [
    "https://replicate.delivery/yhqm/gxTEzONCVtqBL9hxoMa9TzWNwieDdxpJ8w4RsE0asxBHMuuJA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-09-16T11:18:07.814Z",
  "started_at": "2024-09-16T11:18:17.782967Z",
  "completed_at": "2024-09-16T11:18:38.500111Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/bpcg0hf0rsrm40chza6r5sy20m/cancel",
    "get": "https://api.replicate.com/v1/predictions/bpcg0hf0rsrm40chza6r5sy20m",
    "web": "https://replicate.com/p/bpcg0hf0rsrm40chza6r5sy20m"
  },
  "metrics": {
    "predict_time": 20.717144038,
    "total_time": 30.686111
  }
}

Generated in

20.7 seconds

Tweak it Report

Using seed: 54910 Prompt: photo of JONSHUBJAM2 a bald man as a medieval knight. [!] txt2img mode Using dev model free=6936407736320 Downloading weights 2024-09-16T11:18:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpj_4wfj67/weights url=https://replicate.delivery/yhqm/Bl0KBnLareS2JClnT2Vrl8nH0cZeGWqUFvbX9fQhbQ1nC54mA/trained_model.tar 2024-09-16T11:18:22Z | INFO | [ Complete ] dest=/tmp/tmpj_4wfj67/weights size="172 MB" total_elapsed=4.210s url=https://replicate.delivery/yhqm/Bl0KBnLareS2JClnT2Vrl8nH0cZeGWqUFvbX9fQhbQ1nC54mA/trained_model.tar Downloaded weights in 4.25s Loaded LoRAs in 10.99s 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.39it/s] 6%|▋ | 2/32 [00:00<00:07, 3.77it/s] 9%|▉ | 3/32 [00:00<00:08, 3.62it/s] 12%|█▎ | 4/32 [00:01<00:07, 3.56it/s] 16%|█▌ | 5/32 [00:01<00:07, 3.53it/s] 19%|█▉ | 6/32 [00:01<00:07, 3.51it/s] 22%|██▏ | 7/32 [00:01<00:07, 3.50it/s] 25%|██▌ | 8/32 [00:02<00:06, 3.49it/s] 28%|██▊ | 9/32 [00:02<00:06, 3.49it/s] 31%|███▏ | 10/32 [00:02<00:06, 3.48it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.48it/s] 38%|███▊ | 12/32 [00:03<00:05, 3.48it/s] 41%|████ | 13/32 [00:03<00:05, 3.48it/s] 44%|████▍ | 14/32 [00:03<00:05, 3.48it/s] 47%|████▋ | 15/32 [00:04<00:04, 3.48it/s] 50%|█████ | 16/32 [00:04<00:04, 3.47it/s] 53%|█████▎ | 17/32 [00:04<00:04, 3.47it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.48it/s] 59%|█████▉ | 19/32 [00:05<00:03, 3.47it/s] 62%|██████▎ | 20/32 [00:05<00:03, 3.47it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.47it/s] 69%|██████▉ | 22/32 [00:06<00:02, 3.47it/s] 72%|███████▏ | 23/32 [00:06<00:02, 3.47it/s] 75%|███████▌ | 24/32 [00:06<00:02, 3.47it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.47it/s] 81%|████████▏ | 26/32 [00:07<00:01, 3.48it/s] 84%|████████▍ | 27/32 [00:07<00:01, 3.47it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.48it/s] 91%|█████████ | 29/32 [00:08<00:00, 3.47it/s] 94%|█████████▍| 30/32 [00:08<00:00, 3.48it/s] 97%|█████████▋| 31/32 [00:08<00:00, 3.48it/s] 100%|██████████| 32/32 [00:09<00:00, 3.47it/s] 100%|██████████| 32/32 [00:09<00:00, 3.49it/s]