fofr / flux-handwriting-and-sketch

Warm

Public
827 runs
H100

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Run with an API

Playground API Examples README Versions

Prediction

fofr/flux-handwriting-and-sketch:d592f6972aadf30aadf04272cabb1698eb80feb669cbc356e8a3610d4fb2fb39

Model

fofr/flux-handwriting-and-sketch:d592f697

xannsaw3gsrme0cn0vq8mjnm7g

Status

Succeeded

Source

Web

Hardware

H100

Total duration

11.2s

Created

4 months ago

Input

model: dev
prompt: a HWRIT sketch
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "a HWRIT sketch",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 fofr/flux-handwriting-and-sketch using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/flux-handwriting-and-sketch:d592f6972aadf30aadf04272cabb1698eb80feb669cbc356e8a3610d4fb2fb39",
  {
    input: {
      model: "dev",
      prompt: "a HWRIT sketch",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3,
      output_quality: 80,
      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 fofr/flux-handwriting-and-sketch using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/flux-handwriting-and-sketch:d592f6972aadf30aadf04272cabb1698eb80feb669cbc356e8a3610d4fb2fb39",
    input={
        "model": "dev",
        "prompt": "a HWRIT sketch",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)
print(output)

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

Run fofr/flux-handwriting-and-sketch 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": "fofr/flux-handwriting-and-sketch:d592f6972aadf30aadf04272cabb1698eb80feb669cbc356e8a3610d4fb2fb39",
    "input": {
      "model": "dev",
      "prompt": "a HWRIT sketch",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-02-15T00:07:40.652314Z",
  "created_at": "2025-02-15T00:07:29.414000Z",
  "data_removed": false,
  "error": null,
  "id": "xannsaw3gsrme0cn0vq8mjnm7g",
  "input": {
    "model": "dev",
    "prompt": "a HWRIT sketch",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "free=28191497994240\nDownloading weights\n2025-02-15T00:07:29Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpzzllwywg/weights url=https://replicate.delivery/xezq/JMDGg2KffFrVSkFMEGAKm0Hswyxct10C7MxVSSUlyBeVIl1nA/trained_model.tar\n2025-02-15T00:07:32Z | INFO  | [ Complete ] dest=/tmp/tmpzzllwywg/weights size=\"172 MB\" total_elapsed=3.460s url=https://replicate.delivery/xezq/JMDGg2KffFrVSkFMEGAKm0Hswyxct10C7MxVSSUlyBeVIl1nA/trained_model.tar\nDownloaded weights in 3.48s\nLoaded LoRAs in 4.04s\nUsing seed: 6577\nPrompt: a HWRIT sketch\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:06,  4.09it/s]\n  7%|▋         | 2/28 [00:00<00:05,  4.60it/s]\n 11%|█         | 3/28 [00:00<00:05,  4.35it/s]\n 14%|█▍        | 4/28 [00:00<00:05,  4.24it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  4.18it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  4.15it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  4.13it/s]\n 29%|██▊       | 8/28 [00:01<00:04,  4.11it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  4.10it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  4.10it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  4.09it/s]\n 43%|████▎     | 12/28 [00:02<00:03,  4.09it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  4.09it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.09it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  4.08it/s]\n 57%|█████▋    | 16/28 [00:03<00:02,  4.08it/s]\n 61%|██████    | 17/28 [00:04<00:02,  4.08it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  4.08it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  4.08it/s]\n 71%|███████▏  | 20/28 [00:04<00:01,  4.08it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  4.08it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  4.08it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  4.08it/s]\n 86%|████████▌ | 24/28 [00:05<00:00,  4.07it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  4.08it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  4.08it/s]\n 96%|█████████▋| 27/28 [00:06<00:00,  4.08it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.08it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.11it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 11.190425504,
    "total_time": 11.238314
  },
  "output": [
    "https://replicate.delivery/xezq/IFmM4hDGfbTCcqq1vylWyo7DQlOWqS22OCdQv2HIyoWmZsHKA/out-0.webp"
  ],
  "started_at": "2025-02-15T00:07:29.461889Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-nauoh3ty7y7bbqbd7rtwl2u3xvkz5bmurclsnukql5amngz4fsra",
    "get": "https://api.replicate.com/v1/predictions/xannsaw3gsrme0cn0vq8mjnm7g",
    "cancel": "https://api.replicate.com/v1/predictions/xannsaw3gsrme0cn0vq8mjnm7g/cancel"
  },
  "version": "d592f6972aadf30aadf04272cabb1698eb80feb669cbc356e8a3610d4fb2fb39"
}

Generated in

11.2 seconds

Tweak it Share Report

free=28191497994240
Downloading weights
2025-02-15T00:07:29Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpzzllwywg/weights url=https://replicate.delivery/xezq/JMDGg2KffFrVSkFMEGAKm0Hswyxct10C7MxVSSUlyBeVIl1nA/trained_model.tar
2025-02-15T00:07:32Z | INFO  | [ Complete ] dest=/tmp/tmpzzllwywg/weights size="172 MB" total_elapsed=3.460s url=https://replicate.delivery/xezq/JMDGg2KffFrVSkFMEGAKm0Hswyxct10C7MxVSSUlyBeVIl1nA/trained_model.tar
Downloaded weights in 3.48s
Loaded LoRAs in 4.04s
Using seed: 6577
Prompt: a HWRIT sketch
[!] txt2img mode
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Total safe images: 1 out of 1

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