Prediction

7ygx6dqqxhrme0cnhegsg9y8vw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

10.5s

Created

3 months ago

Input

model: dev
prompt: MY_SUBCONSCIOUS
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "MY_SUBCONSCIOUS ",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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

const output = await replicate.run(
  "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
  {
    input: {
      model: "dev",
      prompt: "MY_SUBCONSCIOUS ",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
    input={
        "model": "dev",
        "prompt": "MY_SUBCONSCIOUS ",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)
print(output)

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

Run fofr/flux-my-subconscious 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": "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
    "input": {
      "model": "dev",
      "prompt": "MY_SUBCONSCIOUS ",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "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": "2025-03-12T18:33:33.182670Z",
  "created_at": "2025-03-12T18:33:22.668000Z",
  "data_removed": false,
  "error": null,
  "id": "7ygx6dqqxhrme0cnhegsg9y8vw",
  "input": {
    "model": "dev",
    "prompt": "MY_SUBCONSCIOUS ",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "free=27059167731712\nDownloading weights\n2025-03-12T18:33:23Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp48joza4s/weights url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar\n2025-03-12T18:33:25Z | INFO  | [ Complete ] dest=/tmp/tmp48joza4s/weights size=\"172 MB\" total_elapsed=2.282s url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar\nDownloaded weights in 2.31s\nLoaded LoRAs in 2.87s\nUsing seed: 7417\nPrompt: MY_SUBCONSCIOUS\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:06,  4.03it/s]\n  7%|▋         | 2/28 [00:00<00:05,  4.55it/s]\n 11%|█         | 3/28 [00:00<00:05,  4.30it/s]\n 14%|█▍        | 4/28 [00:00<00:05,  4.19it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  4.13it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  4.10it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  4.08it/s]\n 29%|██▊       | 8/28 [00:01<00:04,  4.06it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  4.04it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  4.04it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  4.03it/s]\n 43%|████▎     | 12/28 [00:02<00:03,  4.03it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  4.02it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.02it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  4.02it/s]\n 57%|█████▋    | 16/28 [00:03<00:02,  4.02it/s]\n 61%|██████    | 17/28 [00:04<00:02,  4.02it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  4.02it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  4.02it/s]\n 71%|███████▏  | 20/28 [00:04<00:01,  4.03it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  4.03it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  4.03it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  4.03it/s]\n 86%|████████▌ | 24/28 [00:05<00:00,  4.03it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  4.03it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  4.03it/s]\n 96%|█████████▋| 27/28 [00:06<00:00,  4.03it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.03it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.05it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 10.087055779,
    "total_time": 10.51467
  },
  "output": [
    "https://replicate.delivery/xezq/sJXpoTybt0ryKBJrUIjNv1WU6PjVxfc4CBLjPsCyPykeV4XUA/out-0.webp"
  ],
  "started_at": "2025-03-12T18:33:23.095614Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-dzhz3jqrz32es6dibil4lwbdkmdjtnvo4yk3enxkekctrybudtpa",
    "get": "https://api.replicate.com/v1/predictions/7ygx6dqqxhrme0cnhegsg9y8vw",
    "cancel": "https://api.replicate.com/v1/predictions/7ygx6dqqxhrme0cnhegsg9y8vw/cancel"
  },
  "version": "de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9"
}

Generated in

10.1 seconds

fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9

free=27059167731712
Downloading weights
2025-03-12T18:33:23Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp48joza4s/weights url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar
2025-03-12T18:33:25Z | INFO  | [ Complete ] dest=/tmp/tmp48joza4s/weights size="172 MB" total_elapsed=2.282s url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar
Downloaded weights in 2.31s
Loaded LoRAs in 2.87s
Using seed: 7417
Prompt: MY_SUBCONSCIOUS
[!] txt2img mode
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Total safe images: 1 out of 1

Prediction

Model

qe2tkqbdd1rme0cnhehayrsnwr

Status

Succeeded

Source

Web

Hardware

H100

Total duration

11.2s

Created

3 months ago

Input

model: dev
prompt: MY_SUBCONSCIOUS with a close up portrait photo
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "MY_SUBCONSCIOUS with a close up portrait photo",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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

const output = await replicate.run(
  "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
  {
    input: {
      model: "dev",
      prompt: "MY_SUBCONSCIOUS with a close up portrait photo",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
    input={
        "model": "dev",
        "prompt": "MY_SUBCONSCIOUS with a close up portrait photo",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)
print(output)

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

Run fofr/flux-my-subconscious 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": "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
    "input": {
      "model": "dev",
      "prompt": "MY_SUBCONSCIOUS with a close up portrait photo",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "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": "2025-03-12T18:34:03.961119Z",
  "created_at": "2025-03-12T18:33:52.744000Z",
  "data_removed": false,
  "error": null,
  "id": "qe2tkqbdd1rme0cnhehayrsnwr",
  "input": {
    "model": "dev",
    "prompt": "MY_SUBCONSCIOUS with a close up portrait photo",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "free=27785883119616\nDownloading weights\n2025-03-12T18:33:53Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpkx4fz6im/weights url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar\n2025-03-12T18:33:55Z | INFO  | [ Complete ] dest=/tmp/tmpkx4fz6im/weights size=\"172 MB\" total_elapsed=2.402s url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar\nDownloaded weights in 2.43s\nLoaded LoRAs in 3.41s\nUsing seed: 16874\nPrompt: MY_SUBCONSCIOUS with a close up portrait photo\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:06,  4.00it/s]\n  7%|▋         | 2/28 [00:00<00:07,  3.57it/s]\n 11%|█         | 3/28 [00:00<00:07,  3.54it/s]\n 14%|█▍        | 4/28 [00:01<00:06,  3.72it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  3.84it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  3.91it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.95it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.98it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  4.01it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  4.03it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  4.04it/s]\n 43%|████▎     | 12/28 [00:03<00:03,  4.04it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  4.05it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.04it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  4.05it/s]\n 57%|█████▋    | 16/28 [00:04<00:02,  4.05it/s]\n 61%|██████    | 17/28 [00:04<00:02,  4.05it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  4.05it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  4.05it/s]\n 71%|███████▏  | 20/28 [00:05<00:01,  4.05it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  4.06it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  4.05it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  4.06it/s]\n 86%|████████▌ | 24/28 [00:06<00:00,  4.06it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  4.05it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  4.06it/s]\n 96%|█████████▋| 27/28 [00:06<00:00,  4.06it/s]\n100%|██████████| 28/28 [00:07<00:00,  4.06it/s]\n100%|██████████| 28/28 [00:07<00:00,  4.00it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 10.716713244,
    "total_time": 11.217119
  },
  "output": [
    "https://replicate.delivery/xezq/sE9VnkrXHh75KFFps7j41Re2CuynEdmlpHSSXrHNL2kNL8LKA/out-0.webp"
  ],
  "started_at": "2025-03-12T18:33:53.244406Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-dgft6nwqqc2sysxj7akn6rbi3nv2bnsxuuwztsw2ny5qkjrgxnca",
    "get": "https://api.replicate.com/v1/predictions/qe2tkqbdd1rme0cnhehayrsnwr",
    "cancel": "https://api.replicate.com/v1/predictions/qe2tkqbdd1rme0cnhehayrsnwr/cancel"
  },
  "version": "de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9"
}

Generated in

10.7 seconds

fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9

free=27785883119616
Downloading weights
2025-03-12T18:33:53Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpkx4fz6im/weights url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar
2025-03-12T18:33:55Z | INFO  | [ Complete ] dest=/tmp/tmpkx4fz6im/weights size="172 MB" total_elapsed=2.402s url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar
Downloaded weights in 2.43s
Loaded LoRAs in 3.41s
Using seed: 16874
Prompt: MY_SUBCONSCIOUS with a close up portrait photo
[!] txt2img mode
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100%|██████████| 28/28 [00:07<00:00,  4.00it/s]
Total safe images: 1 out of 1

Prediction

Model

pr8mrzmwj5rmc0cnhehrsdez4w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

7.2s

Created

3 months ago

Input

model: dev
prompt: MY_SUBCONSCIOUS a squirrel
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "MY_SUBCONSCIOUS a squirrel",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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

const output = await replicate.run(
  "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
  {
    input: {
      model: "dev",
      prompt: "MY_SUBCONSCIOUS a squirrel",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
    input={
        "model": "dev",
        "prompt": "MY_SUBCONSCIOUS a squirrel",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)
print(output)

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

Run fofr/flux-my-subconscious 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": "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
    "input": {
      "model": "dev",
      "prompt": "MY_SUBCONSCIOUS a squirrel",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "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": "2025-03-12T18:35:17.565487Z",
  "created_at": "2025-03-12T18:35:10.353000Z",
  "data_removed": false,
  "error": null,
  "id": "pr8mrzmwj5rmc0cnhehrsdez4w",
  "input": {
    "model": "dev",
    "prompt": "MY_SUBCONSCIOUS a squirrel",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Weights already loaded\nLoaded LoRAs in 0.02s\nUsing seed: 2788\nPrompt: MY_SUBCONSCIOUS a squirrel\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:06,  4.05it/s]\n  7%|▋         | 2/28 [00:00<00:05,  4.57it/s]\n 11%|█         | 3/28 [00:00<00:05,  4.32it/s]\n 14%|█▍        | 4/28 [00:00<00:05,  4.21it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  4.15it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  4.11it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  4.09it/s]\n 29%|██▊       | 8/28 [00:01<00:04,  4.08it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  4.07it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  4.06it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  4.06it/s]\n 43%|████▎     | 12/28 [00:02<00:03,  4.06it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  4.06it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.05it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  4.05it/s]\n 57%|█████▋    | 16/28 [00:03<00:02,  4.05it/s]\n 61%|██████    | 17/28 [00:04<00:02,  4.05it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  4.05it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  4.06it/s]\n 71%|███████▏  | 20/28 [00:04<00:01,  4.06it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  4.06it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  4.06it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  4.06it/s]\n 86%|████████▌ | 24/28 [00:05<00:00,  4.05it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  4.05it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  4.05it/s]\n 96%|█████████▋| 27/28 [00:06<00:00,  4.05it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.05it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.08it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 7.205518797,
    "total_time": 7.212487
  },
  "output": [
    "https://replicate.delivery/xezq/ZkqVzQsxTy5FHFhNr5zVbl3wqprMfmTRSsHwMH6VommyL8LKA/out-0.webp"
  ],
  "started_at": "2025-03-12T18:35:10.359968Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-o74ejvc6veebh7qqtwtr4dsewbqca7y2u4dnrhoqdfbgbykgvvka",
    "get": "https://api.replicate.com/v1/predictions/pr8mrzmwj5rmc0cnhehrsdez4w",
    "cancel": "https://api.replicate.com/v1/predictions/pr8mrzmwj5rmc0cnhehrsdez4w/cancel"
  },
  "version": "de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9"
}

Generated in

7.2 seconds

fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9

Prediction

Model

zsnajwpj6nrma0cnhej9fmx9bw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

12.2s

Created

3 months ago

Input

model: dev
prompt: MY_SUBCONSCIOUS snowy landscape
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "MY_SUBCONSCIOUS snowy landscape",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

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

const output = await replicate.run(
  "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
  {
    input: {
      model: "dev",
      prompt: "MY_SUBCONSCIOUS snowy landscape",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
    input={
        "model": "dev",
        "prompt": "MY_SUBCONSCIOUS snowy landscape",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)
print(output)

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

Run fofr/flux-my-subconscious 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": "fofr/flux-my-subconscious:de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9",
    "input": {
      "model": "dev",
      "prompt": "MY_SUBCONSCIOUS snowy landscape",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "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": "2025-03-12T18:36:41.794743Z",
  "created_at": "2025-03-12T18:36:29.621000Z",
  "data_removed": false,
  "error": null,
  "id": "zsnajwpj6nrma0cnhej9fmx9bw",
  "input": {
    "model": "dev",
    "prompt": "MY_SUBCONSCIOUS snowy landscape",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "free=27543782600704\nDownloading weights\n2025-03-12T18:36:29Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp7x4oqep_/weights url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar\n2025-03-12T18:36:32Z | INFO  | [ Complete ] dest=/tmp/tmp7x4oqep_/weights size=\"172 MB\" total_elapsed=2.412s url=https://replicate.delivery/xezq/Co1c5wquoQ4yBV2bNxp8j2VZ13gdrFpkiLs5otmZ2hX599FF/trained_model.tar\nDownloaded weights in 2.44s\nLoaded LoRAs in 4.96s\nUsing seed: 18705\nPrompt: MY_SUBCONSCIOUS snowy landscape\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:06,  4.06it/s]\n  7%|▋         | 2/28 [00:00<00:05,  4.58it/s]\n 11%|█         | 3/28 [00:00<00:05,  4.34it/s]\n 14%|█▍        | 4/28 [00:00<00:05,  4.22it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  4.16it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  4.12it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  4.10it/s]\n 29%|██▊       | 8/28 [00:01<00:04,  4.09it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  4.08it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  4.07it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  4.07it/s]\n 43%|████▎     | 12/28 [00:02<00:03,  4.06it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  4.05it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.05it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  4.06it/s]\n 57%|█████▋    | 16/28 [00:03<00:02,  4.05it/s]\n 61%|██████    | 17/28 [00:04<00:02,  4.05it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  4.06it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  4.06it/s]\n 71%|███████▏  | 20/28 [00:04<00:01,  4.06it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  4.06it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  4.05it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  4.05it/s]\n 86%|████████▌ | 24/28 [00:05<00:00,  4.05it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  4.05it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  4.04it/s]\n 96%|█████████▋| 27/28 [00:06<00:00,  4.05it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.05it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.08it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 12.127716523,
    "total_time": 12.173743
  },
  "output": [
    "https://replicate.delivery/xezq/0AjuQIcGoSaOHJwNT1KnJ8ObBYEp4sIwhyfweBEFHLZ5Y4XUA/out-0.webp"
  ],
  "started_at": "2025-03-12T18:36:29.667027Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-lz25dcmkhzup4fkntjb53ahd7wcnd46fs7tvhofao3awvyljwnia",
    "get": "https://api.replicate.com/v1/predictions/zsnajwpj6nrma0cnhej9fmx9bw",
    "cancel": "https://api.replicate.com/v1/predictions/zsnajwpj6nrma0cnhej9fmx9bw/cancel"
  },
  "version": "de1b628b969c5c1c31c9cad1916eb74a4dfbaed6e1612f61a0e6af45718cecd9"
}

Generated in

12.1 seconds