Prediction

Model

rinatkurmaev/flux-dev-lora-tatra-t3:25b2bc71

11jh7179wxrme0cmwvs8s07sac

Status

Succeeded

Source

Web

Hardware

H100

Total duration

7.8s

Created

10 months ago

Webhook

–

Input

prompt: A tram TATRAT3 running a street. A vintage photo. 60s
image: https://replicate.delivery/pbxt/MSscG4DTsvrlJML6XfFd1U3JbuCjDm3rOB42qijufEEmkDok/1967-Centennial-3.jpg
aspect_ratio: 1:1
height: 1024
width: 1024
prompt_strength: 0.5
model: dev
num_outputs: 1
num_inference_steps: 28
guidance_scale: 3
output_format: png
output_quality: 80
go_fast: true
megapixels: 1
lora_scale: 1
extra_lora_scale: 1

{
  "aspect_ratio": "1:1",
  "extra_lora_scale": 1,
  "go_fast": true,
  "guidance_scale": 3,
  "height": 1024,
  "image": "https://replicate.delivery/pbxt/MSscG4DTsvrlJML6XfFd1U3JbuCjDm3rOB42qijufEEmkDok/1967-Centennial-3.jpg",
  "lora_scale": 1,
  "megapixels": "1",
  "model": "dev",
  "num_inference_steps": 28,
  "num_outputs": 1,
  "output_format": "png",
  "output_quality": 80,
  "prompt": "A tram TATRAT3 running a street. A vintage photo. 60s",
  "prompt_strength": 0.5,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_TF1**********************************

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 rinatkurmaev/flux-dev-lora-tatra-t3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "rinatkurmaev/flux-dev-lora-tatra-t3:25b2bc71bd11c42a9e7ce2f91995ded93cc12f1f23d2cbb7fff77f3da1bb65c4",
  {
    input: {
      aspect_ratio: "1:1",
      extra_lora_scale: 1,
      go_fast: true,
      guidance_scale: 3,
      height: 1024,
      image: "https://replicate.delivery/pbxt/MSscG4DTsvrlJML6XfFd1U3JbuCjDm3rOB42qijufEEmkDok/1967-Centennial-3.jpg",
      lora_scale: 1,
      megapixels: "1",
      model: "dev",
      num_inference_steps: 28,
      num_outputs: 1,
      output_format: "png",
      output_quality: 80,
      prompt: "A tram TATRAT3 running a street. A vintage photo. 60s",
      prompt_strength: 0.5,
      width: 1024
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_TF1**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run rinatkurmaev/flux-dev-lora-tatra-t3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "rinatkurmaev/flux-dev-lora-tatra-t3:25b2bc71bd11c42a9e7ce2f91995ded93cc12f1f23d2cbb7fff77f3da1bb65c4",
    input={
        "aspect_ratio": "1:1",
        "extra_lora_scale": 1,
        "go_fast": True,
        "guidance_scale": 3,
        "height": 1024,
        "image": "https://replicate.delivery/pbxt/MSscG4DTsvrlJML6XfFd1U3JbuCjDm3rOB42qijufEEmkDok/1967-Centennial-3.jpg",
        "lora_scale": 1,
        "megapixels": "1",
        "model": "dev",
        "num_inference_steps": 28,
        "num_outputs": 1,
        "output_format": "png",
        "output_quality": 80,
        "prompt": "A tram TATRAT3 running a street. A vintage photo. 60s",
        "prompt_strength": 0.5,
        "width": 1024
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_TF1**********************************

This is your API token. Keep it to yourself.

Run rinatkurmaev/flux-dev-lora-tatra-t3 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": "rinatkurmaev/flux-dev-lora-tatra-t3:25b2bc71bd11c42a9e7ce2f91995ded93cc12f1f23d2cbb7fff77f3da1bb65c4",
    "input": {
      "aspect_ratio": "1:1",
      "extra_lora_scale": 1,
      "go_fast": true,
      "guidance_scale": 3,
      "height": 1024,
      "image": "https://replicate.delivery/pbxt/MSscG4DTsvrlJML6XfFd1U3JbuCjDm3rOB42qijufEEmkDok/1967-Centennial-3.jpg",
      "lora_scale": 1,
      "megapixels": "1",
      "model": "dev",
      "num_inference_steps": 28,
      "num_outputs": 1,
      "output_format": "png",
      "output_quality": 80,
      "prompt": "A tram TATRAT3 running a street. A vintage photo. 60s",
      "prompt_strength": 0.5,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "11jh7179wxrme0cmwvs8s07sac",
  "model": "rinatkurmaev/flux-dev-lora-tatra-t3",
  "version": "25b2bc71bd11c42a9e7ce2f91995ded93cc12f1f23d2cbb7fff77f3da1bb65c4",
  "input": {
    "aspect_ratio": "1:1",
    "extra_lora_scale": 1,
    "go_fast": true,
    "guidance_scale": 3,
    "height": 1024,
    "image": "https://replicate.delivery/pbxt/MSscG4DTsvrlJML6XfFd1U3JbuCjDm3rOB42qijufEEmkDok/1967-Centennial-3.jpg",
    "lora_scale": 1,
    "megapixels": "1",
    "model": "dev",
    "num_inference_steps": 28,
    "num_outputs": 1,
    "output_format": "png",
    "output_quality": 80,
    "prompt": "A tram TATRAT3 running a street. A vintage photo. 60s",
    "prompt_strength": 0.5,
    "width": 1024
  },
  "logs": "Img2img and inpainting not supported with fast fp8 inference; will run in bf16\nfree=28152046182400\nDownloading weights\n2025-02-08T19:04:28Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpc9zp4coz/weights url=https://replicate.delivery/xezq/5wg4NzY5IOIuMZ4bhf8BTSUhf8hq4vj2AWECTkhWETqANDNUA/trained_model.tar\n2025-02-08T19:04:31Z | INFO  | [ Complete ] dest=/tmp/tmpc9zp4coz/weights size=\"215 MB\" total_elapsed=2.675s url=https://replicate.delivery/xezq/5wg4NzY5IOIuMZ4bhf8BTSUhf8hq4vj2AWECTkhWETqANDNUA/trained_model.tar\nDownloaded weights in 2.70s\nLoaded LoRAs in 3.27s\nUsing seed: 60731\nPrompt: A tram TATRAT3 running a street. A vintage photo. 60s\n[!] Resizing input image from 720x480 to 720x480\n[!] img2img mode\n  0%|          | 0/14 [00:00<?, ?it/s]\n  7%|▋         | 1/14 [00:00<00:10,  1.26it/s]\n 14%|█▍        | 2/14 [00:00<00:04,  2.54it/s]\n 21%|██▏       | 3/14 [00:01<00:02,  3.78it/s]\n 29%|██▊       | 4/14 [00:01<00:02,  4.89it/s]\n 36%|███▌      | 5/14 [00:01<00:01,  5.85it/s]\n 43%|████▎     | 6/14 [00:01<00:01,  6.64it/s]\n 50%|█████     | 7/14 [00:01<00:00,  7.25it/s]\n 57%|█████▋    | 8/14 [00:01<00:00,  7.72it/s]\n 64%|██████▍   | 9/14 [00:01<00:00,  8.07it/s]\n 71%|███████▏  | 10/14 [00:01<00:00,  8.33it/s]\n 79%|███████▊  | 11/14 [00:01<00:00,  8.51it/s]\n 86%|████████▌ | 12/14 [00:02<00:00,  8.64it/s]\n 93%|█████████▎| 13/14 [00:02<00:00,  8.73it/s]\n100%|██████████| 14/14 [00:02<00:00,  8.80it/s]\n100%|██████████| 14/14 [00:02<00:00,  6.23it/s]\nTotal safe images: 1 out of 1",
  "output": [
    "https://replicate.delivery/xezq/0T2XbpF6XIozKFQVXuyK6SDJUCEylI3dbvRFNr9796twcVDF/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-02-08T19:04:26.855Z",
  "started_at": "2025-02-08T19:04:28.463381Z",
  "completed_at": "2025-02-08T19:04:34.624198Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/11jh7179wxrme0cmwvs8s07sac/cancel",
    "get": "https://api.replicate.com/v1/predictions/11jh7179wxrme0cmwvs8s07sac",
    "stream": "https://stream.replicate.com/v1/files/bcwr-wxzog3oitk6lzknsulpfsm5tasaj6v6tyiujja5iittmletpftra",
    "web": "https://replicate.com/p/11jh7179wxrme0cmwvs8s07sac"
  },
  "metrics": {
    "predict_time": 6.160816626,
    "total_time": 7.769198
  }
}

Generated in

6.2 seconds

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