Prediction

Model

lucataco/flux-jennai:256ddf3c

pfrsqc0s6srme0cq0beane7jac

Status

Succeeded

Source

Web

Hardware

H100

Total duration

4.6s

Created

7 months ago

Webhook

–

Input

prompt: a portrait photo of JENAI wearing a red sweater
aspect_ratio: 1:1
prompt_strength: 0.8
model: dev
num_outputs: 1
num_inference_steps: 28
guidance_scale: 3
output_format: webp
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,
  "lora_scale": 1,
  "megapixels": "1",
  "model": "dev",
  "num_inference_steps": 28,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "a portrait photo of JENAI wearing a red sweater",
  "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_ENX**********************************

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

const output = await replicate.run(
  "lucataco/flux-jennai:256ddf3c5429bc028df29221cadb161393ed67f6eaf2c7de01cc2f77cf86b459",
  {
    input: {
      aspect_ratio: "1:1",
      extra_lora_scale: 1,
      go_fast: true,
      guidance_scale: 3,
      lora_scale: 1,
      megapixels: "1",
      model: "dev",
      num_inference_steps: 28,
      num_outputs: 1,
      output_format: "webp",
      output_quality: 80,
      prompt: "a portrait photo of JENAI wearing a red sweater",
      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_ENX**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-jennai:256ddf3c5429bc028df29221cadb161393ed67f6eaf2c7de01cc2f77cf86b459",
    input={
        "aspect_ratio": "1:1",
        "extra_lora_scale": 1,
        "go_fast": True,
        "guidance_scale": 3,
        "lora_scale": 1,
        "megapixels": "1",
        "model": "dev",
        "num_inference_steps": 28,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "a portrait photo of JENAI wearing a red sweater",
        "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_ENX**********************************

This is your API token. Keep it to yourself.

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

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "lucataco/flux-jennai:256ddf3c5429bc028df29221cadb161393ed67f6eaf2c7de01cc2f77cf86b459",
    "input": {
      "aspect_ratio": "1:1",
      "extra_lora_scale": 1,
      "go_fast": true,
      "guidance_scale": 3,
      "lora_scale": 1,
      "megapixels": "1",
      "model": "dev",
      "num_inference_steps": 28,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "a portrait photo of JENAI wearing a red sweater",
      "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": "pfrsqc0s6srme0cq0beane7jac",
  "model": "lucataco/flux-jennai",
  "version": "256ddf3c5429bc028df29221cadb161393ed67f6eaf2c7de01cc2f77cf86b459",
  "input": {
    "aspect_ratio": "1:1",
    "extra_lora_scale": 1,
    "go_fast": true,
    "guidance_scale": 3,
    "lora_scale": 1,
    "megapixels": "1",
    "model": "dev",
    "num_inference_steps": 28,
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 80,
    "prompt": "a portrait photo of JENAI wearing a red sweater",
    "prompt_strength": 0.8
  },
  "logs": "2025-05-24 15:14:28.366 | INFO     | fp8.lora_loading:restore_base_weights:600 - Unloaded 304 layers\n2025-05-24 15:14:28.367 | SUCCESS  | fp8.lora_loading:unload_loras:571 - LoRAs unloaded in 0.025s\nfree=27485852782592\nDownloading weights\n2025-05-24T15:14:28Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmphrujda0f/weights url=https://replicate.delivery/xezq/p8zgemKuTgStByHgZxmRSq1jevHC4ewn5K8Ivpe98SWU4f9lC/flux-lora.tar\n2025-05-24T15:14:28Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-24T15:14:29Z | INFO  | [ Complete ] dest=/tmp/tmphrujda0f/weights size=\"172 MB\" total_elapsed=1.190s url=https://replicate.delivery/xezq/p8zgemKuTgStByHgZxmRSq1jevHC4ewn5K8Ivpe98SWU4f9lC/flux-lora.tar\nDownloaded weights in 1.21s\n2025-05-24 15:14:29.575 | INFO     | fp8.lora_loading:convert_lora_weights:502 - Loading LoRA weights for /src/weights-cache/951862e7f6698d62\n2025-05-24 15:14:29.647 | INFO     | fp8.lora_loading:convert_lora_weights:523 - LoRA weights loaded\n2025-05-24 15:14:29.648 | DEBUG    | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:610 - Extracting keys\n2025-05-24 15:14:29.648 | DEBUG    | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:617 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  43%|████▎     | 130/304 [00:00<00:00, 1280.02it/s]\nApplying LoRA:  85%|████████▌ | 259/304 [00:00<00:00, 1073.90it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 1067.70it/s]\n2025-05-24 15:14:29.933 | INFO     | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:669 - Loading LoRA in fp8\n2025-05-24 15:14:29.933 | SUCCESS  | fp8.lora_loading:load_lora:547 - LoRA applied in 0.36s\nrunning quantized prediction\nUsing seed: 1977165122\n  0%|          | 0/28 [00:00<?, ?it/s]\n 11%|█         | 3/28 [00:00<00:01, 15.81it/s]\n 18%|█▊        | 5/28 [00:00<00:01, 12.97it/s]\n 25%|██▌       | 7/28 [00:00<00:01, 12.06it/s]\n 32%|███▏      | 9/28 [00:00<00:01, 11.63it/s]\n 39%|███▉      | 11/28 [00:00<00:01, 11.07it/s]\n 46%|████▋     | 13/28 [00:01<00:01, 10.92it/s]\n 54%|█████▎    | 15/28 [00:01<00:01, 10.91it/s]\n 61%|██████    | 17/28 [00:01<00:01, 10.91it/s]\n 68%|██████▊   | 19/28 [00:01<00:00, 10.91it/s]\n 75%|███████▌  | 21/28 [00:01<00:00, 10.82it/s]\n 82%|████████▏ | 23/28 [00:02<00:00, 10.73it/s]\n 89%|████████▉ | 25/28 [00:02<00:00, 10.74it/s]\n 96%|█████████▋| 27/28 [00:02<00:00, 10.77it/s]\n100%|██████████| 28/28 [00:02<00:00, 11.14it/s]\nTotal safe images: 1 out of 1",
  "output": [
    "https://replicate.delivery/xezq/gLKueqkp7ZXaYyekkPDYZWd0c4lc2lHcsWG4jtaPNgLYR5vUA/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-05-24T15:14:28.278Z",
  "started_at": "2025-05-24T15:14:28.344335Z",
  "completed_at": "2025-05-24T15:14:32.866281Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/pfrsqc0s6srme0cq0beane7jac/cancel",
    "get": "https://api.replicate.com/v1/predictions/pfrsqc0s6srme0cq0beane7jac",
    "stream": "https://stream.replicate.com/v1/files/bcwr-ul7rau7k4ezbuk5qonybz3oq4dbx6ds7fhzrszc6qjzsemt7fc7q",
    "web": "https://replicate.com/p/pfrsqc0s6srme0cq0beane7jac"
  },
  "metrics": {
    "predict_time": 4.521945584,
    "total_time": 4.588281
  }
}

Generated in

4.5 seconds

Tweak it Report

2025-05-24 15:14:28.366 | INFO | fp8.lora_loading:restore_base_weights:600 - Unloaded 304 layers 2025-05-24 15:14:28.367 | SUCCESS | fp8.lora_loading:unload_loras:571 - LoRAs unloaded in 0.025s free=27485852782592 Downloading weights 2025-05-24T15:14:28Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmphrujda0f/weights url=https://replicate.delivery/xezq/p8zgemKuTgStByHgZxmRSq1jevHC4ewn5K8Ivpe98SWU4f9lC/flux-lora.tar 2025-05-24T15:14:28Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-24T15:14:29Z | INFO | [ Complete ] dest=/tmp/tmphrujda0f/weights size="172 MB" total_elapsed=1.190s url=https://replicate.delivery/xezq/p8zgemKuTgStByHgZxmRSq1jevHC4ewn5K8Ivpe98SWU4f9lC/flux-lora.tar Downloaded weights in 1.21s 2025-05-24 15:14:29.575 | INFO | fp8.lora_loading:convert_lora_weights:502 - Loading LoRA weights for /src/weights-cache/951862e7f6698d62 2025-05-24 15:14:29.647 | INFO | fp8.lora_loading:convert_lora_weights:523 - LoRA weights loaded 2025-05-24 15:14:29.648 | DEBUG | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:610 - Extracting keys 2025-05-24 15:14:29.648 | DEBUG | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:617 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 43%|████▎ | 130/304 [00:00<00:00, 1280.02it/s] Applying LoRA: 85%|████████▌ | 259/304 [00:00<00:00, 1073.90it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 1067.70it/s] 2025-05-24 15:14:29.933 | INFO | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:669 - Loading LoRA in fp8 2025-05-24 15:14:29.933 | SUCCESS | fp8.lora_loading:load_lora:547 - LoRA applied in 0.36s running quantized prediction Using seed: 1977165122 0%| | 0/28 [00:00<?, ?it/s] 11%|█ | 3/28 [00:00<00:01, 15.81it/s] 18%|█▊ | 5/28 [00:00<00:01, 12.97it/s] 25%|██▌ | 7/28 [00:00<00:01, 12.06it/s] 32%|███▏ | 9/28 [00:00<00:01, 11.63it/s] 39%|███▉ | 11/28 [00:00<00:01, 11.07it/s] 46%|████▋ | 13/28 [00:01<00:01, 10.92it/s] 54%|█████▎ | 15/28 [00:01<00:01, 10.91it/s] 61%|██████ | 17/28 [00:01<00:01, 10.91it/s] 68%|██████▊ | 19/28 [00:01<00:00, 10.91it/s] 75%|███████▌ | 21/28 [00:01<00:00, 10.82it/s] 82%|████████▏ | 23/28 [00:02<00:00, 10.73it/s] 89%|████████▉ | 25/28 [00:02<00:00, 10.74it/s] 96%|█████████▋| 27/28 [00:02<00:00, 10.77it/s] 100%|██████████| 28/28 [00:02<00:00, 11.14it/s] Total safe images: 1 out of 1