Prediction

Model

lucataco/flux-dev-lora:94a0c19e

zs732r6rhsrj60chafz9509rw4

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

20.6s

Created

over 1 year ago by lucataco

Webhook

–

Input

prompt: HDRI panoramic view of TOK, a serene indoor setting, featuring a tranquil swimming pool surrounded by wooden architecture. A large tree with pink blossoms stands prominently in the center, enhancing the natural ambiance. The scene is further complemented by the presence of several chairs and potted plants, contributing to the overall sense of relaxation and harmony. cinematic
aspect_ratio: 21:9
num_outputs: 1
num_inference_steps: 35
guidance_scale: 3.5
output_format: webp
output_quality: 80
hf_lora: jbilcke-hf/flux-dev-panorama-lora-2
lora_scale: 0.8

{
  "aspect_ratio": "21:9",
  "guidance_scale": 3.5,
  "hf_lora": "jbilcke-hf/flux-dev-panorama-lora-2",
  "lora_scale": 0.8,
  "num_inference_steps": 35,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "HDRI panoramic view of TOK, a serene indoor setting, featuring a tranquil swimming pool surrounded by wooden architecture. A large tree with pink blossoms stands prominently in the center, enhancing the natural ambiance. The scene is further complemented by the presence of several chairs and potted plants, contributing to the overall sense of relaxation and harmony. cinematic"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_fAS**********************************

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

const output = await replicate.run(
  "lucataco/flux-dev-lora:94a0c19e55e36f75d657ecf9eada9f16a233b5329fb9cdf8e2b9ecd093e5c97e",
  {
    input: {
      aspect_ratio: "21:9",
      guidance_scale: 3.5,
      hf_lora: "jbilcke-hf/flux-dev-panorama-lora-2",
      lora_scale: 0.8,
      num_inference_steps: 35,
      num_outputs: 1,
      output_format: "webp",
      output_quality: 80,
      prompt: "HDRI panoramic view of TOK, a serene indoor setting, featuring a tranquil swimming pool surrounded by wooden architecture. A large tree with pink blossoms stands prominently in the center, enhancing the natural ambiance. The scene is further complemented by the presence of several chairs and potted plants, contributing to the overall sense of relaxation and harmony. cinematic"
    }
  }
);

// 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_fAS**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-dev-lora:94a0c19e55e36f75d657ecf9eada9f16a233b5329fb9cdf8e2b9ecd093e5c97e",
    input={
        "aspect_ratio": "21:9",
        "guidance_scale": 3.5,
        "hf_lora": "jbilcke-hf/flux-dev-panorama-lora-2",
        "lora_scale": 0.8,
        "num_inference_steps": 35,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "HDRI panoramic view of TOK, a serene indoor setting, featuring a tranquil swimming pool surrounded by wooden architecture. A large tree with pink blossoms stands prominently in the center, enhancing the natural ambiance. The scene is further complemented by the presence of several chairs and potted plants, contributing to the overall sense of relaxation and harmony. cinematic"
    }
)

# 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_fAS**********************************

This is your API token. Keep it to yourself.

Run lucataco/flux-dev-lora 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-dev-lora:94a0c19e55e36f75d657ecf9eada9f16a233b5329fb9cdf8e2b9ecd093e5c97e",
    "input": {
      "aspect_ratio": "21:9",
      "guidance_scale": 3.5,
      "hf_lora": "jbilcke-hf/flux-dev-panorama-lora-2",
      "lora_scale": 0.8,
      "num_inference_steps": 35,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "HDRI panoramic view of TOK, a serene indoor setting, featuring a tranquil swimming pool surrounded by wooden architecture. A large tree with pink blossoms stands prominently in the center, enhancing the natural ambiance. The scene is further complemented by the presence of several chairs and potted plants, contributing to the overall sense of relaxation and harmony. cinematic"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "zs732r6rhsrj60chafz9509rw4",
  "model": "lucataco/flux-dev-lora",
  "version": "94a0c19e55e36f75d657ecf9eada9f16a233b5329fb9cdf8e2b9ecd093e5c97e",
  "input": {
    "aspect_ratio": "21:9",
    "guidance_scale": 3.5,
    "hf_lora": "jbilcke-hf/flux-dev-panorama-lora-2",
    "lora_scale": 0.8,
    "num_inference_steps": 35,
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 80,
    "prompt": "HDRI panoramic view of TOK, a serene indoor setting, featuring a tranquil swimming pool surrounded by wooden architecture. A large tree with pink blossoms stands prominently in the center, enhancing the natural ambiance. The scene is further complemented by the presence of several chairs and potted plants, contributing to the overall sense of relaxation and harmony. cinematic"
  },
  "logs": "Using seed: 12790\nPrompt: HDRI panoramic view of TOK, a serene indoor setting, featuring a tranquil swimming pool surrounded by wooden architecture. A large tree with pink blossoms stands prominently in the center, enhancing the natural ambiance. The scene is further complemented by the presence of several chairs and potted plants, contributing to the overall sense of relaxation and harmony. cinematic\ntxt2img mode\nLoading LoRA weights from HF path:jbilcke-hf/flux-dev-panorama-lora-2\n  0%|          | 0/35 [00:00<?, ?it/s]\n  3%|▎         | 1/35 [00:00<00:17,  1.95it/s]\n  6%|▌         | 2/35 [00:00<00:14,  2.24it/s]\n  9%|▊         | 3/35 [00:01<00:15,  2.09it/s]\n 11%|█▏        | 4/35 [00:01<00:15,  2.03it/s]\n 14%|█▍        | 5/35 [00:02<00:15,  2.00it/s]\n 17%|█▋        | 6/35 [00:02<00:14,  1.98it/s]\n 20%|██        | 7/35 [00:03<00:14,  1.97it/s]\n 23%|██▎       | 8/35 [00:03<00:13,  1.96it/s]\n 26%|██▌       | 9/35 [00:04<00:13,  1.95it/s]\n 29%|██▊       | 10/35 [00:05<00:12,  1.95it/s]\n 31%|███▏      | 11/35 [00:05<00:12,  1.95it/s]\n 34%|███▍      | 12/35 [00:06<00:11,  1.95it/s]\n 37%|███▋      | 13/35 [00:06<00:11,  1.94it/s]\n 40%|████      | 14/35 [00:07<00:10,  1.94it/s]\n 43%|████▎     | 15/35 [00:07<00:10,  1.95it/s]\n 46%|████▌     | 16/35 [00:08<00:09,  1.94it/s]\n 49%|████▊     | 17/35 [00:08<00:09,  1.94it/s]\n 51%|█████▏    | 18/35 [00:09<00:08,  1.94it/s]\n 54%|█████▍    | 19/35 [00:09<00:08,  1.95it/s]\n 57%|█████▋    | 20/35 [00:10<00:07,  1.95it/s]\n 60%|██████    | 21/35 [00:10<00:07,  1.95it/s]\n 63%|██████▎   | 22/35 [00:11<00:06,  1.94it/s]\n 66%|██████▌   | 23/35 [00:11<00:06,  1.94it/s]\n 69%|██████▊   | 24/35 [00:12<00:05,  1.95it/s]\n 71%|███████▏  | 25/35 [00:12<00:05,  1.95it/s]\n 74%|███████▍  | 26/35 [00:13<00:04,  1.94it/s]\n 77%|███████▋  | 27/35 [00:13<00:04,  1.95it/s]\n 80%|████████  | 28/35 [00:14<00:03,  1.95it/s]\n 83%|████████▎ | 29/35 [00:14<00:03,  1.94it/s]\n 86%|████████▌ | 30/35 [00:15<00:02,  1.94it/s]\n 89%|████████▊ | 31/35 [00:15<00:02,  1.94it/s]\n 91%|█████████▏| 32/35 [00:16<00:01,  1.94it/s]\n 94%|█████████▍| 33/35 [00:16<00:01,  1.94it/s]\n 97%|█████████▋| 34/35 [00:17<00:00,  1.94it/s]\n100%|██████████| 35/35 [00:17<00:00,  1.94it/s]\n100%|██████████| 35/35 [00:17<00:00,  1.96it/s]",
  "output": [
    "https://replicate.delivery/yhqm/X3fnqjMLFftPG0oZoeA8Xp1y0lIwxrwl3QvzlkWWIXTZTklmA/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-08-15T03:04:56.206Z",
  "started_at": "2024-08-15T03:04:56.21433Z",
  "completed_at": "2024-08-15T03:05:16.838854Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/zs732r6rhsrj60chafz9509rw4/cancel",
    "get": "https://api.replicate.com/v1/predictions/zs732r6rhsrj60chafz9509rw4",
    "web": "https://replicate.com/p/zs732r6rhsrj60chafz9509rw4"
  },
  "metrics": {
    "predict_time": 20.624523773,
    "total_time": 20.632854
  }
}

Generated in

20.6 seconds

Tweak it Report

Using seed: 12790 Prompt: HDRI panoramic view of TOK, a serene indoor setting, featuring a tranquil swimming pool surrounded by wooden architecture. A large tree with pink blossoms stands prominently in the center, enhancing the natural ambiance. The scene is further complemented by the presence of several chairs and potted plants, contributing to the overall sense of relaxation and harmony. cinematic txt2img mode Loading LoRA weights from HF path:jbilcke-hf/flux-dev-panorama-lora-2 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:17, 1.95it/s] 6%|▌ | 2/35 [00:00<00:14, 2.24it/s] 9%|▊ | 3/35 [00:01<00:15, 2.09it/s] 11%|█▏ | 4/35 [00:01<00:15, 2.03it/s] 14%|█▍ | 5/35 [00:02<00:15, 2.00it/s] 17%|█▋ | 6/35 [00:02<00:14, 1.98it/s] 20%|██ | 7/35 [00:03<00:14, 1.97it/s] 23%|██▎ | 8/35 [00:03<00:13, 1.96it/s] 26%|██▌ | 9/35 [00:04<00:13, 1.95it/s] 29%|██▊ | 10/35 [00:05<00:12, 1.95it/s] 31%|███▏ | 11/35 [00:05<00:12, 1.95it/s] 34%|███▍ | 12/35 [00:06<00:11, 1.95it/s] 37%|███▋ | 13/35 [00:06<00:11, 1.94it/s] 40%|████ | 14/35 [00:07<00:10, 1.94it/s] 43%|████▎ | 15/35 [00:07<00:10, 1.95it/s] 46%|████▌ | 16/35 [00:08<00:09, 1.94it/s] 49%|████▊ | 17/35 [00:08<00:09, 1.94it/s] 51%|█████▏ | 18/35 [00:09<00:08, 1.94it/s] 54%|█████▍ | 19/35 [00:09<00:08, 1.95it/s] 57%|█████▋ | 20/35 [00:10<00:07, 1.95it/s] 60%|██████ | 21/35 [00:10<00:07, 1.95it/s] 63%|██████▎ | 22/35 [00:11<00:06, 1.94it/s] 66%|██████▌ | 23/35 [00:11<00:06, 1.94it/s] 69%|██████▊ | 24/35 [00:12<00:05, 1.95it/s] 71%|███████▏ | 25/35 [00:12<00:05, 1.95it/s] 74%|███████▍ | 26/35 [00:13<00:04, 1.94it/s] 77%|███████▋ | 27/35 [00:13<00:04, 1.95it/s] 80%|████████ | 28/35 [00:14<00:03, 1.95it/s] 83%|████████▎ | 29/35 [00:14<00:03, 1.94it/s] 86%|████████▌ | 30/35 [00:15<00:02, 1.94it/s] 89%|████████▊ | 31/35 [00:15<00:02, 1.94it/s] 91%|█████████▏| 32/35 [00:16<00:01, 1.94it/s] 94%|█████████▍| 33/35 [00:16<00:01, 1.94it/s] 97%|█████████▋| 34/35 [00:17<00:00, 1.94it/s] 100%|██████████| 35/35 [00:17<00:00, 1.94it/s] 100%|██████████| 35/35 [00:17<00:00, 1.96it/s]