{
  "prompt": "a bacon cheeseburger in the style of TOK a trtcrd, tarot style",
  "go_fast": true,
  "guidance": 3,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "lora_weights": "huggingface.co/multimodalart/flux-tarot-v1",
  "output_format": "webp",
  "output_quality": 80,
  "prompt_strength": 0.8,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const input = {
  prompt: "a bacon cheeseburger in the style of TOK a trtcrd, tarot style",
  go_fast: true,
  guidance: 3,
  lora_scale: 1,
  megapixels: "1",
  num_outputs: 1,
  aspect_ratio: "1:1",
  lora_weights: "huggingface.co/multimodalart/flux-tarot-v1",
  output_format: "webp",
  output_quality: 80,
  prompt_strength: 0.8,
  num_inference_steps: 28
};

const output = await replicate.run("black-forest-labs/flux-dev-lora", { input });

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

output = replicate.run(
    "black-forest-labs/flux-dev-lora",
    input={
        "prompt": "a bacon cheeseburger in the style of TOK a trtcrd, tarot style",
        "go_fast": True,
        "guidance": 3,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "lora_weights": "huggingface.co/multimodalart/flux-tarot-v1",
        "output_format": "webp",
        "output_quality": 80,
        "prompt_strength": 0.8,
        "num_inference_steps": 28
    }
)
print(output)

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

Run black-forest-labs/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 $'{
    "input": {
      "prompt": "a bacon cheeseburger in the style of TOK a trtcrd, tarot style",
      "go_fast": true,
      "guidance": 3,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "lora_weights": "huggingface.co/multimodalart/flux-tarot-v1",
      "output_format": "webp",
      "output_quality": 80,
      "prompt_strength": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-dev-lora/predictions

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

Output

{
  "completed_at": "2024-11-14T00:08:08.972441Z",
  "created_at": "2024-11-14T00:08:06.092000Z",
  "data_removed": false,
  "error": null,
  "id": "30k587n6shrme0ck4zzrr6bt6c",
  "input": {
    "prompt": "a bacon cheeseburger in the style of TOK a trtcrd, tarot style",
    "go_fast": true,
    "guidance": 3,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "lora_weights": "huggingface.co/multimodalart/flux-tarot-v1",
    "output_format": "webp",
    "output_quality": 80,
    "prompt_strength": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Lora huggingface.co/multimodalart/flux-tarot-v1 already loaded\nrunning quantized prediction\nUsing seed: 1813648211\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:01, 17.76it/s]\n 14%|█▍        | 4/28 [00:00<00:01, 12.89it/s]\n 21%|██▏       | 6/28 [00:00<00:01, 11.82it/s]\n 29%|██▊       | 8/28 [00:00<00:01, 11.39it/s]\n 36%|███▌      | 10/28 [00:00<00:01, 11.14it/s]\n 43%|████▎     | 12/28 [00:01<00:01, 10.75it/s]\n 50%|█████     | 14/28 [00:01<00:01, 10.72it/s]\n 57%|█████▋    | 16/28 [00:01<00:01, 10.71it/s]\n 64%|██████▍   | 18/28 [00:01<00:00, 10.72it/s]\n 71%|███████▏  | 20/28 [00:01<00:00, 10.72it/s]\n 79%|███████▊  | 22/28 [00:01<00:00, 10.53it/s]\n 86%|████████▌ | 24/28 [00:02<00:00, 10.53it/s]\n 93%|█████████▎| 26/28 [00:02<00:00, 10.58it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.61it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.92it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "image_count": 1,
    "predict_time": 2.874607308,
    "total_time": 2.880441
  },
  "output": [
    "https://replicate.delivery/xezq/MIF2XaWOzOZ7DVu4KsxRv4US2mHxoSWYlCeiiFCS78foFvwTA/out-0.webp"
  ],
  "started_at": "2024-11-14T00:08:06.097833Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-bsppfm5v4e5ceihotnxcgaoabro3jzmpo3fc2dvv5are2znbsokq",
    "get": "https://api.replicate.com/v1/predictions/30k587n6shrme0ck4zzrr6bt6c",
    "cancel": "https://api.replicate.com/v1/predictions/30k587n6shrme0ck4zzrr6bt6c/cancel"
  },
  "version": "hidden"
}

Generated in

2.9 seconds

Tweak it ShareReport

Prediction

black-forest-labs/flux-dev-lora

Official model

black-forest-labs/flux-dev-lora

a0nn5pvxrdrmc0ck504acd609c

Status

Succeeded

Source

Web

Total duration

2.8s

Created

7 months ago

Input

prompt: style of 80s cyberpunk, a portrait photo
go_fast
guidance: 3
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
lora_weights: fofr/flux-80s-cyberpunk
output_format: webp
output_quality: 80
prompt_strength: 0.8
num_inference_steps: 28

{
  "prompt": "style of 80s cyberpunk, a portrait photo",
  "go_fast": true,
  "guidance": 3,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "lora_weights": "fofr/flux-80s-cyberpunk",
  "output_format": "webp",
  "output_quality": 80,
  "prompt_strength": 0.8,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const input = {
  prompt: "style of 80s cyberpunk, a portrait photo",
  go_fast: true,
  guidance: 3,
  lora_scale: 1,
  megapixels: "1",
  num_outputs: 1,
  aspect_ratio: "1:1",
  lora_weights: "fofr/flux-80s-cyberpunk",
  output_format: "webp",
  output_quality: 80,
  prompt_strength: 0.8,
  num_inference_steps: 28
};

const output = await replicate.run("black-forest-labs/flux-dev-lora", { input });

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

output = replicate.run(
    "black-forest-labs/flux-dev-lora",
    input={
        "prompt": "style of 80s cyberpunk, a portrait photo",
        "go_fast": True,
        "guidance": 3,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "lora_weights": "fofr/flux-80s-cyberpunk",
        "output_format": "webp",
        "output_quality": 80,
        "prompt_strength": 0.8,
        "num_inference_steps": 28
    }
)
print(output)

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

Run black-forest-labs/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 $'{
    "input": {
      "prompt": "style of 80s cyberpunk, a portrait photo",
      "go_fast": true,
      "guidance": 3,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "lora_weights": "fofr/flux-80s-cyberpunk",
      "output_format": "webp",
      "output_quality": 80,
      "prompt_strength": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-dev-lora/predictions

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

Output

{
  "completed_at": "2024-11-14T00:17:48.247218Z",
  "created_at": "2024-11-14T00:17:45.411000Z",
  "data_removed": false,
  "error": null,
  "id": "a0nn5pvxrdrmc0ck504acd609c",
  "input": {
    "prompt": "style of 80s cyberpunk, a portrait photo",
    "go_fast": true,
    "guidance": 3,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "lora_weights": "fofr/flux-80s-cyberpunk",
    "output_format": "webp",
    "output_quality": 80,
    "prompt_strength": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Lora fofr/flux-80s-cyberpunk already loaded\nrunning quantized prediction\nUsing seed: 1827486286\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:01, 18.09it/s]\n 14%|█▍        | 4/28 [00:00<00:01, 13.05it/s]\n 21%|██▏       | 6/28 [00:00<00:01, 11.97it/s]\n 29%|██▊       | 8/28 [00:00<00:01, 11.50it/s]\n 36%|███▌      | 10/28 [00:00<00:01, 11.25it/s]\n 43%|████▎     | 12/28 [00:01<00:01, 10.86it/s]\n 50%|█████     | 14/28 [00:01<00:01, 10.83it/s]\n 57%|█████▋    | 16/28 [00:01<00:01, 10.83it/s]\n 64%|██████▍   | 18/28 [00:01<00:00, 10.84it/s]\n 71%|███████▏  | 20/28 [00:01<00:00, 10.81it/s]\n 79%|███████▊  | 22/28 [00:01<00:00, 10.69it/s]\n 86%|████████▌ | 24/28 [00:02<00:00, 10.68it/s]\n 93%|█████████▎| 26/28 [00:02<00:00, 10.71it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.73it/s]\n100%|██████████| 28/28 [00:02<00:00, 11.05it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "image_count": 1,
    "predict_time": 2.831174012,
    "total_time": 2.836218
  },
  "output": [
    "https://replicate.delivery/xezq/a43wloJrIDpoJpCH81EfhI00PbQrmhpfpUWqCvZPtWEsOvwTA/out-0.webp"
  ],
  "started_at": "2024-11-14T00:17:45.416044Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-q3ffcsvkewovj6bohktwae5k4x4moko5y3k5ofshtgeb3fc6hviq",
    "get": "https://api.replicate.com/v1/predictions/a0nn5pvxrdrmc0ck504acd609c",
    "cancel": "https://api.replicate.com/v1/predictions/a0nn5pvxrdrmc0ck504acd609c/cancel"
  },
  "version": "hidden"
}

Generated in

2.8 seconds

Tweak it ShareReport

Prediction

black-forest-labs/flux-dev-lora

Official model

black-forest-labs/flux-dev-lora

h1nykv9z3drme0ck506ay2gjyr

Status

Succeeded

Source

Web

Total duration

2.9s

Created

7 months ago

Input

prompt: In the style of TOK, a photo editorial avant-garde dramatic action pose of a person wearing 90s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll
go_fast
guidance: 3
lora_scale: 0.7
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
lora_weights: davisbrown/flux-half-illustration
output_format: webp
output_quality: 80
prompt_strength: 0.8
num_inference_steps: 28

{
  "prompt": "In the style of TOK, a photo editorial avant-garde dramatic action pose of a person wearing 90s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll",
  "go_fast": true,
  "guidance": 3,
  "lora_scale": 0.7,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "lora_weights": "davisbrown/flux-half-illustration",
  "output_format": "webp",
  "output_quality": 80,
  "prompt_strength": 0.8,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const input = {
  prompt: "In the style of TOK, a photo editorial avant-garde dramatic action pose of a person wearing 90s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll",
  go_fast: true,
  guidance: 3,
  lora_scale: 0.7,
  megapixels: "1",
  num_outputs: 1,
  aspect_ratio: "1:1",
  lora_weights: "davisbrown/flux-half-illustration",
  output_format: "webp",
  output_quality: 80,
  prompt_strength: 0.8,
  num_inference_steps: 28
};

const output = await replicate.run("black-forest-labs/flux-dev-lora", { input });

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

output = replicate.run(
    "black-forest-labs/flux-dev-lora",
    input={
        "prompt": "In the style of TOK, a photo editorial avant-garde dramatic action pose of a person wearing 90s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll",
        "go_fast": True,
        "guidance": 3,
        "lora_scale": 0.7,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "lora_weights": "davisbrown/flux-half-illustration",
        "output_format": "webp",
        "output_quality": 80,
        "prompt_strength": 0.8,
        "num_inference_steps": 28
    }
)
print(output)

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

Run black-forest-labs/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 $'{
    "input": {
      "prompt": "In the style of TOK, a photo editorial avant-garde dramatic action pose of a person wearing 90s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll",
      "go_fast": true,
      "guidance": 3,
      "lora_scale": 0.7,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "lora_weights": "davisbrown/flux-half-illustration",
      "output_format": "webp",
      "output_quality": 80,
      "prompt_strength": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-dev-lora/predictions

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

Output

{
  "completed_at": "2024-11-14T00:21:54.387601Z",
  "created_at": "2024-11-14T00:21:51.515000Z",
  "data_removed": false,
  "error": null,
  "id": "h1nykv9z3drme0ck506ay2gjyr",
  "input": {
    "prompt": "In the style of TOK, a photo editorial avant-garde dramatic action pose of a person wearing 90s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll",
    "go_fast": true,
    "guidance": 3,
    "lora_scale": 0.7,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "lora_weights": "davisbrown/flux-half-illustration",
    "output_format": "webp",
    "output_quality": 80,
    "prompt_strength": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Lora davisbrown/flux-half-illustration already loaded\nrunning quantized prediction\nUsing seed: 3287284191\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:01, 17.81it/s]\n 14%|█▍        | 4/28 [00:00<00:01, 12.93it/s]\n 21%|██▏       | 6/28 [00:00<00:01, 11.87it/s]\n 29%|██▊       | 8/28 [00:00<00:01, 11.45it/s]\n 36%|███▌      | 10/28 [00:00<00:01, 11.20it/s]\n 43%|████▎     | 12/28 [00:01<00:01, 10.83it/s]\n 50%|█████     | 14/28 [00:01<00:01, 10.83it/s]\n 57%|█████▋    | 16/28 [00:01<00:01, 10.78it/s]\n 64%|██████▍   | 18/28 [00:01<00:00, 10.78it/s]\n 71%|███████▏  | 20/28 [00:01<00:00, 10.76it/s]\n 79%|███████▊  | 22/28 [00:01<00:00, 10.65it/s]\n 86%|████████▌ | 24/28 [00:02<00:00, 10.63it/s]\n 93%|█████████▎| 26/28 [00:02<00:00, 10.64it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.66it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.99it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "image_count": 1,
    "predict_time": 2.866995538,
    "total_time": 2.872601
  },
  "output": [
    "https://replicate.delivery/xezq/v9eRgadlfiqktkbyFy4R6ki6LTBJSYvkpsBHbLxmrPViSvwTA/out-0.webp"
  ],
  "started_at": "2024-11-14T00:21:51.520605Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-lxfcbwtkjxau7zcdzsqewijy5ha26bambvx7ykrlbkjqbarqlz6q",
    "get": "https://api.replicate.com/v1/predictions/h1nykv9z3drme0ck506ay2gjyr",
    "cancel": "https://api.replicate.com/v1/predictions/h1nykv9z3drme0ck506ay2gjyr/cancel"
  },
  "version": "hidden"
}

Generated in

2.9 seconds

Tweak it ShareReport

Prediction

black-forest-labs/flux-dev-lora

Official model

black-forest-labs/flux-dev-lora

55tgxa28qxrm80ck50996j6yzg

Status

Succeeded

Source

Web

Total duration

3.4s

Created

7 months ago

Input

prompt: A tabby cat lounging on a sun-dappled windowsill, half its body in shadow, half in bright light, flmft style
go_fast
guidance: 3
lora_scale: 0.9
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
lora_weights: huggingface.co/alvdansen/flux-koda
output_format: webp
output_quality: 80
prompt_strength: 0.8
num_inference_steps: 28

{
  "prompt": "A tabby cat lounging on a sun-dappled windowsill, half its body in shadow, half in bright light, flmft style",
  "go_fast": true,
  "guidance": 3,
  "lora_scale": 0.9,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "lora_weights": "huggingface.co/alvdansen/flux-koda",
  "output_format": "webp",
  "output_quality": 80,
  "prompt_strength": 0.8,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const input = {
  prompt: "A tabby cat lounging on a sun-dappled windowsill, half its body in shadow, half in bright light, flmft style",
  go_fast: true,
  guidance: 3,
  lora_scale: 0.9,
  megapixels: "1",
  num_outputs: 1,
  aspect_ratio: "1:1",
  lora_weights: "huggingface.co/alvdansen/flux-koda",
  output_format: "webp",
  output_quality: 80,
  prompt_strength: 0.8,
  num_inference_steps: 28
};

const output = await replicate.run("black-forest-labs/flux-dev-lora", { input });

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

output = replicate.run(
    "black-forest-labs/flux-dev-lora",
    input={
        "prompt": "A tabby cat lounging on a sun-dappled windowsill, half its body in shadow, half in bright light, flmft style",
        "go_fast": True,
        "guidance": 3,
        "lora_scale": 0.9,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "lora_weights": "huggingface.co/alvdansen/flux-koda",
        "output_format": "webp",
        "output_quality": 80,
        "prompt_strength": 0.8,
        "num_inference_steps": 28
    }
)
print(output)

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

Run black-forest-labs/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 $'{
    "input": {
      "prompt": "A tabby cat lounging on a sun-dappled windowsill, half its body in shadow, half in bright light, flmft style",
      "go_fast": true,
      "guidance": 3,
      "lora_scale": 0.9,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "lora_weights": "huggingface.co/alvdansen/flux-koda",
      "output_format": "webp",
      "output_quality": 80,
      "prompt_strength": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-dev-lora/predictions

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

Output

{
  "completed_at": "2024-11-14T00:28:30.579241Z",
  "created_at": "2024-11-14T00:28:27.199000Z",
  "data_removed": false,
  "error": null,
  "id": "55tgxa28qxrm80ck50996j6yzg",
  "input": {
    "prompt": "A tabby cat lounging on a sun-dappled windowsill, half its body in shadow, half in bright light, flmft style",
    "go_fast": true,
    "guidance": 3,
    "lora_scale": 0.9,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "lora_weights": "huggingface.co/alvdansen/flux-koda",
    "output_format": "webp",
    "output_quality": 80,
    "prompt_strength": 0.8,
    "num_inference_steps": 28
  },
  "logs": "2024-11-14 00:28:27.205 | DEBUG    | fp8.lora_loading:apply_lora_to_model:547 - Extracting keys\n2024-11-14 00:28:27.205 | DEBUG    | fp8.lora_loading:apply_lora_to_model:554 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 13354.16it/s]\n2024-11-14 00:28:27.228 | SUCCESS  | fp8.lora_loading:unload_loras:537 - LoRAs unloaded in 0.023s\n2024-11-14 00:28:27.231 | INFO     | fp8.lora_loading:load_lora:497 - Loading LoRA weights for /src/weights-cache/31eaaa0241aa1ad5\n2024-11-14 00:28:27.384 | INFO     | fp8.lora_loading:load_lora:518 - LoRA weights loaded\n2024-11-14 00:28:27.384 | DEBUG    | fp8.lora_loading:apply_lora_to_model:547 - Extracting keys\n2024-11-14 00:28:27.384 | DEBUG    | fp8.lora_loading:apply_lora_to_model:554 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  41%|████      | 125/304 [00:00<00:00, 1248.30it/s]\nApplying LoRA:  82%|████████▏ | 250/304 [00:00<00:00, 954.60it/s] \nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 967.09it/s]\n2024-11-14 00:28:27.699 | SUCCESS  | fp8.lora_loading:load_lora:521 - LoRA applied in 0.47s\nrunning quantized prediction\nUsing seed: 1541013700\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:01, 18.02it/s]\n 14%|█▍        | 4/28 [00:00<00:01, 12.97it/s]\n 21%|██▏       | 6/28 [00:00<00:01, 11.90it/s]\n 29%|██▊       | 8/28 [00:00<00:01, 11.47it/s]\n 36%|███▌      | 10/28 [00:00<00:01, 11.09it/s]\n 43%|████▎     | 12/28 [00:01<00:01, 10.83it/s]\n 50%|█████     | 14/28 [00:01<00:01, 10.83it/s]\n 57%|█████▋    | 16/28 [00:01<00:01, 10.82it/s]\n 64%|██████▍   | 18/28 [00:01<00:00, 10.82it/s]\n 71%|███████▏  | 20/28 [00:01<00:00, 10.78it/s]\n 79%|███████▊  | 22/28 [00:01<00:00, 10.67it/s]\n 86%|████████▌ | 24/28 [00:02<00:00, 10.69it/s]\n 93%|█████████▎| 26/28 [00:02<00:00, 10.73it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.73it/s]\n100%|██████████| 28/28 [00:02<00:00, 11.03it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "image_count": 1,
    "predict_time": 3.374442034,
    "total_time": 3.380241
  },
  "output": [
    "https://replicate.delivery/xezq/YumehO0CBftCZUz9ubFKRXBGU3ZOePKrD7TivvfeUOW1F7FeE/out-0.webp"
  ],
  "started_at": "2024-11-14T00:28:27.204799Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-4p76hgchoqzr65twu5srquso5xyww7i2veovf3hngdxdlp6nwkja",
    "get": "https://api.replicate.com/v1/predictions/55tgxa28qxrm80ck50996j6yzg",
    "cancel": "https://api.replicate.com/v1/predictions/55tgxa28qxrm80ck50996j6yzg/cancel"
  },
  "version": "hidden"
}

Generated in

3.4 seconds

Tweak it ShareReport

2024-11-14 00:28:27.205 | DEBUG    | fp8.lora_loading:apply_lora_to_model:547 - Extracting keys
2024-11-14 00:28:27.205 | DEBUG    | fp8.lora_loading:apply_lora_to_model:554 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 13354.16it/s]
2024-11-14 00:28:27.228 | SUCCESS  | fp8.lora_loading:unload_loras:537 - LoRAs unloaded in 0.023s
2024-11-14 00:28:27.231 | INFO     | fp8.lora_loading:load_lora:497 - Loading LoRA weights for /src/weights-cache/31eaaa0241aa1ad5
2024-11-14 00:28:27.384 | INFO     | fp8.lora_loading:load_lora:518 - LoRA weights loaded
2024-11-14 00:28:27.384 | DEBUG    | fp8.lora_loading:apply_lora_to_model:547 - Extracting keys
2024-11-14 00:28:27.384 | DEBUG    | fp8.lora_loading:apply_lora_to_model:554 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  41%|████      | 125/304 [00:00<00:00, 1248.30it/s]
Applying LoRA:  82%|████████▏ | 250/304 [00:00<00:00, 954.60it/s] 
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 967.09it/s]
2024-11-14 00:28:27.699 | SUCCESS  | fp8.lora_loading:load_lora:521 - LoRA applied in 0.47s
running quantized prediction
Using seed: 1541013700
  0%|          | 0/28 [00:00<?, ?it/s]
  7%|▋         | 2/28 [00:00<00:01, 18.02it/s]
 14%|█▍        | 4/28 [00:00<00:01, 12.97it/s]
 21%|██▏       | 6/28 [00:00<00:01, 11.90it/s]
 29%|██▊       | 8/28 [00:00<00:01, 11.47it/s]
 36%|███▌      | 10/28 [00:00<00:01, 11.09it/s]
 43%|████▎     | 12/28 [00:01<00:01, 10.83it/s]
 50%|█████     | 14/28 [00:01<00:01, 10.83it/s]
 57%|█████▋    | 16/28 [00:01<00:01, 10.82it/s]
 64%|██████▍   | 18/28 [00:01<00:00, 10.82it/s]
 71%|███████▏  | 20/28 [00:01<00:00, 10.78it/s]
 79%|███████▊  | 22/28 [00:01<00:00, 10.67it/s]
 86%|████████▌ | 24/28 [00:02<00:00, 10.69it/s]
 93%|█████████▎| 26/28 [00:02<00:00, 10.73it/s]
100%|██████████| 28/28 [00:02<00:00, 10.73it/s]
100%|██████████| 28/28 [00:02<00:00, 11.03it/s]
Total safe images: 1 out of 1

Prediction

black-forest-labs/flux-dev-lora

Official model

black-forest-labs/flux-dev-lora

4ebhhnyj5xrma0ckdxqt30qcsg

Status

Succeeded

Source

Web

Total duration

2.9s

Created

6 months ago by @black-forest-labs

Input

prompt: pnt style Illustration of a latina woman
go_fast
guidance: 3
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
lora_weights: https://civitai.com/api/download/models/735262
output_format: webp
output_quality: 80
prompt_strength: 0.8
num_inference_steps: 28

{
  "prompt": "pnt style Illustration of a latina woman",
  "go_fast": true,
  "guidance": 3,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "lora_weights": "https://civitai.com/api/download/models/735262",
  "output_format": "webp",
  "output_quality": 80,
  "prompt_strength": 0.8,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const input = {
  prompt: "pnt style Illustration of a latina woman",
  go_fast: true,
  guidance: 3,
  lora_scale: 1,
  megapixels: "1",
  num_outputs: 1,
  aspect_ratio: "1:1",
  lora_weights: "https://civitai.com/api/download/models/735262",
  output_format: "webp",
  output_quality: 80,
  prompt_strength: 0.8,
  num_inference_steps: 28
};

const output = await replicate.run("black-forest-labs/flux-dev-lora", { input });

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

output = replicate.run(
    "black-forest-labs/flux-dev-lora",
    input={
        "prompt": "pnt style Illustration of a latina woman",
        "go_fast": True,
        "guidance": 3,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "lora_weights": "https://civitai.com/api/download/models/735262",
        "output_format": "webp",
        "output_quality": 80,
        "prompt_strength": 0.8,
        "num_inference_steps": 28
    }
)
print(output)

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

Run black-forest-labs/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 $'{
    "input": {
      "prompt": "pnt style Illustration of a latina woman",
      "go_fast": true,
      "guidance": 3,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "lora_weights": "https://civitai.com/api/download/models/735262",
      "output_format": "webp",
      "output_quality": 80,
      "prompt_strength": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-dev-lora/predictions

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

Output

{
  "completed_at": "2024-11-27T21:03:42.410975Z",
  "created_at": "2024-11-27T21:03:39.567000Z",
  "data_removed": false,
  "error": null,
  "id": "4ebhhnyj5xrma0ckdxqt30qcsg",
  "input": {
    "prompt": "pnt style Illustration of a latina woman",
    "go_fast": true,
    "guidance": 3,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "lora_weights": "https://civitai.com/api/download/models/735262",
    "output_format": "webp",
    "output_quality": 80,
    "prompt_strength": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Lora https://civitai.com/api/download/models/735262 already loaded\nrunning quantized prediction\nUsing seed: 146917677\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:01, 17.89it/s]\n 14%|█▍        | 4/28 [00:00<00:01, 12.99it/s]\n 21%|██▏       | 6/28 [00:00<00:01, 11.98it/s]\n 29%|██▊       | 8/28 [00:00<00:01, 11.54it/s]\n 36%|███▌      | 10/28 [00:00<00:01, 11.29it/s]\n 43%|████▎     | 12/28 [00:01<00:01, 10.89it/s]\n 50%|█████     | 14/28 [00:01<00:01, 10.84it/s]\n 57%|█████▋    | 16/28 [00:01<00:01, 10.85it/s]\n 64%|██████▍   | 18/28 [00:01<00:00, 10.86it/s]\n 71%|███████▏  | 20/28 [00:01<00:00, 10.86it/s]\n 79%|███████▊  | 22/28 [00:01<00:00, 10.74it/s]\n 86%|████████▌ | 24/28 [00:02<00:00, 10.71it/s]\n 93%|█████████▎| 26/28 [00:02<00:00, 10.73it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.78it/s]\n100%|██████████| 28/28 [00:02<00:00, 11.08it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "image_count": 1,
    "predict_time": 2.83643081,
    "total_time": 2.843975
  },
  "output": [
    "https://replicate.delivery/xezq/skK7077kxy5ecKHxoG4Ls20ULdomyso9sxzfambkuegdZnqnA/out-0.webp"
  ],
  "started_at": "2024-11-27T21:03:39.574544Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-qgz7m4d2w7o7pozm7mdnkp63n6zaoplutudcvnydz7x7tkx63bgq",
    "get": "https://api.replicate.com/v1/predictions/4ebhhnyj5xrma0ckdxqt30qcsg",
    "cancel": "https://api.replicate.com/v1/predictions/4ebhhnyj5xrma0ckdxqt30qcsg/cancel"
  },
  "version": "hidden"
}

Generated in

2.8 seconds

Tweak it ShareReport