lucataco/flux-dev-lora:09149576 – Run with an API on Replicate

Version

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lucataco /flux-dev-lora:09149576

Input

prompt

*string

Shift + Return to add a new line

a beautiful castle frstingln illustrationa beautiful castle frstingln illustration

Prompt for generated image

aspect_ratio

string

Aspect ratio for the generated image

Default: "1:1"

image

file

Input image for image to image mode. The aspect ratio of your output will match this image

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength (or denoising strength) when using image to image. 1.0 corresponds to full destruction of information in image.

Default: 0.8

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of inference steps

Default: 28

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process

Default: 3.5

seed

integer

Random seed. Set for reproducible generation

hf_lora

string

Shift + Return to add a new line

HF, Replicate, CivitAI, or URL to a LoRA. Ex: alvdansen/frosting_lane_flux

lora_scale

number

(minimum: 0, maximum: 1)

Scale for the LoRA weights

Default: 0.8

Including output_format and 2 more...

Run this model in Node.js with one line of code:

npx create-replicate --model=lucataco/flux-dev-lora

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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: {
      prompt: "a beautiful castle frstingln illustration",
      hf_lora: "alvdansen/frosting_lane_flux",
      lora_scale: 0.8,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      prompt_strength: 0.8,
      num_inference_steps: 28
    }
  }
);
console.log(output);

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=<paste-your-token-here>

Find your API token in your account settings.

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={
        "prompt": "a beautiful castle frstingln illustration",
        "hf_lora": "alvdansen/frosting_lane_flux",
        "lora_scale": 0.8,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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": "091495765fa5ef2725a175a57b276ec30dc9d39c22d30410f2ede68a3eab66b3",
    "input": {
      "prompt": "a beautiful castle frstingln illustration",
      "hf_lora": "alvdansen/frosting_lane_flux",
      "lora_scale": 0.8,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-12-02T15:31:58.179554Z",
  "created_at": "2024-12-02T15:31:39.638000Z",
  "data_removed": false,
  "error": null,
  "id": "em16szn9ysrj20ckgzzss99wvr",
  "input": {
    "prompt": "a beautiful castle frstingln illustration",
    "hf_lora": "alvdansen/frosting_lane_flux",
    "lora_scale": 0.8,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 15405\nPrompt: a beautiful castle frstingln illustration\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,  1.70it/s]\n 11%|█         | 3/28 [00:01<00:15,  1.63it/s]\n 14%|█▍        | 4/28 [00:02<00:15,  1.60it/s]\n 18%|█▊        | 5/28 [00:03<00:14,  1.58it/s]\n 21%|██▏       | 6/28 [00:03<00:14,  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,  1.55it/s]\n 36%|███▌      | 10/28 [00:06<00:11,  1.55it/s]\n 39%|███▉      | 11/28 [00:07<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]",
  "metrics": {
    "predict_time": 18.533655572,
    "total_time": 18.541554
  },
  "output": [
    "https://replicate.delivery/yhqm/0WLq8ncyUCZRLlofeOqT96FjGFfPfm4ECTV3ieAaLLjzdC3eE/out-0.webp"
  ],
  "started_at": "2024-12-02T15:31:39.645899Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/qoxq-thrhoazcuhblomq4hwjjiv3ogotcvdr7e6vgbmxvtklm3p7d3zpa",
    "get": "https://api.replicate.com/v1/predictions/em16szn9ysrj20ckgzzss99wvr",
    "cancel": "https://api.replicate.com/v1/predictions/em16szn9ysrj20ckgzzss99wvr/cancel"
  },
  "version": "091495765fa5ef2725a175a57b276ec30dc9d39c22d30410f2ede68a3eab66b3"
}

Generated in

18.5 seconds

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