Prediction

Model

lucataco/flux-dev-lora:09149576

hy2bvxy0nhrj00ckh04r4npd54

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

18.5s

Created

about 1 year ago

Webhook

–

Input

prompt: portrait photo of TOK with purple hair
aspect_ratio: 1:1
prompt_strength: 0.8
num_outputs: 1
num_inference_steps: 28
guidance_scale: 3.5
output_format: webp
output_quality: 80
hf_lora: https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar
lora_scale: 0.8

{
  "aspect_ratio": "1:1",
  "guidance_scale": 3.5,
  "hf_lora": "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
  "lora_scale": 0.8,
  "num_inference_steps": 28,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "portrait photo of TOK with purple hair",
  "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_Fls**********************************

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:091495765fa5ef2725a175a57b276ec30dc9d39c22d30410f2ede68a3eab66b3",
  {
    input: {
      aspect_ratio: "1:1",
      guidance_scale: 3.5,
      hf_lora: "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
      lora_scale: 0.8,
      num_inference_steps: 28,
      num_outputs: 1,
      output_format: "webp",
      output_quality: 80,
      prompt: "portrait photo of TOK with purple hair",
      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_Fls**********************************

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:091495765fa5ef2725a175a57b276ec30dc9d39c22d30410f2ede68a3eab66b3",
    input={
        "aspect_ratio": "1:1",
        "guidance_scale": 3.5,
        "hf_lora": "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
        "lora_scale": 0.8,
        "num_inference_steps": 28,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "portrait photo of TOK with purple hair",
        "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_Fls**********************************

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:091495765fa5ef2725a175a57b276ec30dc9d39c22d30410f2ede68a3eab66b3",
    "input": {
      "aspect_ratio": "1:1",
      "guidance_scale": 3.5,
      "hf_lora": "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
      "lora_scale": 0.8,
      "num_inference_steps": 28,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "portrait photo of TOK with purple hair",
      "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": "hy2bvxy0nhrj00ckh04r4npd54",
  "model": "lucataco/flux-dev-lora",
  "version": "091495765fa5ef2725a175a57b276ec30dc9d39c22d30410f2ede68a3eab66b3",
  "input": {
    "aspect_ratio": "1:1",
    "guidance_scale": 3.5,
    "hf_lora": "https://replicate.delivery/yhqm/9vSmRCa8Vv7bFtKfCfXTRzTq4X71tZW0LtLCb1l49bTSo8TTA/trained_model.tar",
    "lora_scale": 0.8,
    "num_inference_steps": 28,
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 80,
    "prompt": "portrait photo of TOK with purple hair",
    "prompt_strength": 0.8
  },
  "logs": "Using seed: 46453\nPrompt: portrait photo of TOK with purple hair\ntxt2img mode\nLoading LoRA took: 0.00 seconds\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:17,  1.53it/s]\n  7%|▋         | 2/28 [00:01<00:15,  1.71it/s]\n 11%|█         | 3/28 [00:01<00:15,  1.63it/s]\n 14%|█▍        | 4/28 [00:02<00:14,  1.60it/s]\n 18%|█▊        | 5/28 [00:03<00:14,  1.58it/s]\n 21%|██▏       | 6/28 [00:03<00:13,  1.57it/s]\n 25%|██▌       | 7/28 [00:04<00:13,  1.56it/s]\n 29%|██▊       | 8/28 [00:05<00:12,  1.56it/s]\n 32%|███▏      | 9/28 [00:05<00:12,  1.56it/s]\n 36%|███▌      | 10/28 [00:06<00:11,  1.55it/s]\n 39%|███▉      | 11/28 [00:06<00:10,  1.55it/s]\n 43%|████▎     | 12/28 [00:07<00:10,  1.55it/s]\n 46%|████▋     | 13/28 [00:08<00:09,  1.55it/s]\n 50%|█████     | 14/28 [00:08<00:09,  1.55it/s]\n 54%|█████▎    | 15/28 [00:09<00:08,  1.55it/s]\n 57%|█████▋    | 16/28 [00:10<00:07,  1.55it/s]\n 61%|██████    | 17/28 [00:10<00:07,  1.55it/s]\n 64%|██████▍   | 18/28 [00:11<00:06,  1.55it/s]\n 68%|██████▊   | 19/28 [00:12<00:05,  1.55it/s]\n 71%|███████▏  | 20/28 [00:12<00:05,  1.55it/s]\n 75%|███████▌  | 21/28 [00:13<00:04,  1.55it/s]\n 79%|███████▊  | 22/28 [00:14<00:03,  1.55it/s]\n 82%|████████▏ | 23/28 [00:14<00:03,  1.55it/s]\n 86%|████████▌ | 24/28 [00:15<00:02,  1.55it/s]\n 89%|████████▉ | 25/28 [00:16<00:01,  1.55it/s]\n 93%|█████████▎| 26/28 [00:16<00:01,  1.55it/s]\n 96%|█████████▋| 27/28 [00:17<00:00,  1.55it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.55it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.56it/s]",
  "output": [
    "https://replicate.delivery/yhqm/jnk4vMe0ptyjGKPzYkeJT3cdIFBiRSTpveampSCUfyAM4hbPB/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-12-02T15:42:40.812Z",
  "started_at": "2024-12-02T15:42:40.821105Z",
  "completed_at": "2024-12-02T15:42:59.301185Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/hy2bvxy0nhrj00ckh04r4npd54/cancel",
    "get": "https://api.replicate.com/v1/predictions/hy2bvxy0nhrj00ckh04r4npd54",
    "stream": "https://stream.replicate.com/v1/files/qoxq-vvtxjgfd7tmhgml2p6rqysjy5b35q46p62w4dy5u6h3vlj7eexta",
    "web": "https://replicate.com/p/hy2bvxy0nhrj00ckh04r4npd54"
  },
  "metrics": {
    "predict_time": 18.480079272,
    "total_time": 18.489185
  }
}

Generated in

18.5 seconds

Tweak it Report