Prediction

omniedgeio/cog-flux:fa93e8d9d0e5a10cd4d6360a08d4c44adedbeb2ff71c36967608626ee5453feb

Model

omniedgeio/cog-flux:fa93e8d9

ID

seskx9vpc1rj40ch2zgvnbs1gm

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

13m 59s

Created

about 1 year ago by @omniedgeio

Input

seed: 77
width: 1360
height: 768
prompt: a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.
num_outputs: 1
num_inference_steps: 4

{
  "seed": 77,
  "width": 1360,
  "height": 768,
  "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
  "num_outputs": 1,
  "num_inference_steps": 4
}

Install Replicate’s Node.js client library:

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

const output = await replicate.run(
  "omniedgeio/cog-flux:fa93e8d9d0e5a10cd4d6360a08d4c44adedbeb2ff71c36967608626ee5453feb",
  {
    input: {
      seed: 77,
      width: 1360,
      height: 768,
      prompt: "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
      num_outputs: 1,
      num_inference_steps: 4
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

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

output = replicate.run(
    "omniedgeio/cog-flux:fa93e8d9d0e5a10cd4d6360a08d4c44adedbeb2ff71c36967608626ee5453feb",
    input={
        "seed": 77,
        "width": 1360,
        "height": 768,
        "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
        "num_outputs": 1,
        "num_inference_steps": 4
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Run omniedgeio/cog-flux 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": "omniedgeio/cog-flux:fa93e8d9d0e5a10cd4d6360a08d4c44adedbeb2ff71c36967608626ee5453feb",
    "input": {
      "seed": 77,
      "width": 1360,
      "height": 768,
      "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
      "num_outputs": 1,
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

[ "https://storage.googleapis.com/r8-outputs-us-west1-long-term/vz3Bf4ag1lynRKimMeCluFnJe0Uw2sQ2kld3vf6P1ruCfg3ZC/DFAIOUT-0.png" ]

Generated in

14.6 seconds

Tweak it Iterate in playground Share Report

Prediction

omniedgeio/cog-flux:535c99ed4f0a09e029c5080260191cf1d425fc2d2a119a26114b25bba61ff28d

Model

omniedgeio/cog-flux:535c99ed

ID

ecy8emg8xxrj40ch40sbfzn8vg

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

19m 37s

Created

about 1 year ago

Input

mode: dev
seed: 77
width: 1360
height: 768
prompt: a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.
num_outputs: 1
guidance_scale: 3.5
num_inference_steps: 50

{
  "mode": "dev",
  "seed": 77,
  "width": 1360,
  "height": 768,
  "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
  "num_outputs": 1,
  "guidance_scale": 3.5,
  "num_inference_steps": 50
}

Install Replicate’s Node.js client library:

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

const output = await replicate.run(
  "omniedgeio/cog-flux:535c99ed4f0a09e029c5080260191cf1d425fc2d2a119a26114b25bba61ff28d",
  {
    input: {
      mode: "dev",
      seed: 77,
      width: 1360,
      height: 768,
      prompt: "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
      num_outputs: 1,
      guidance_scale: 3.5,
      num_inference_steps: 50
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

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

output = replicate.run(
    "omniedgeio/cog-flux:535c99ed4f0a09e029c5080260191cf1d425fc2d2a119a26114b25bba61ff28d",
    input={
        "mode": "dev",
        "seed": 77,
        "width": 1360,
        "height": 768,
        "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
        "num_outputs": 1,
        "guidance_scale": 3.5,
        "num_inference_steps": 50
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Run omniedgeio/cog-flux 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": "omniedgeio/cog-flux:535c99ed4f0a09e029c5080260191cf1d425fc2d2a119a26114b25bba61ff28d",
    "input": {
      "mode": "dev",
      "seed": 77,
      "width": 1360,
      "height": 768,
      "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
      "num_outputs": 1,
      "guidance_scale": 3.5,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

[ "https://storage.googleapis.com/r8-outputs-us-west1-long-term/ft1rSbYsigXQTiVi6ozvyM9hA1hlmwULl72ZbdJWPoBWIvnJA/DFAIOUT-0.webp" ]

{
  "completed_at": "2024-08-05T02:00:12.713093Z",
  "created_at": "2024-08-05T01:40:35.695000Z",
  "data_removed": false,
  "error": null,
  "id": "ecy8emg8xxrj40ch40sbfzn8vg",
  "input": {
    "mode": "dev",
    "seed": 77,
    "width": 1360,
    "height": 768,
    "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
    "num_outputs": 1,
    "guidance_scale": 3.5,
    "num_inference_steps": 50
  },
  "logs": "0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:06<05:09,  6.32s/it]\n  4%|▍         | 2/50 [00:06<02:19,  2.90s/it]\n  6%|▌         | 3/50 [00:07<01:28,  1.89s/it]\n  8%|▊         | 4/50 [00:08<01:04,  1.41s/it]\n 10%|█         | 5/50 [00:08<00:51,  1.14s/it]\n 12%|█▏        | 6/50 [00:09<00:43,  1.02it/s]\n 14%|█▍        | 7/50 [00:10<00:37,  1.13it/s]\n 16%|█▌        | 8/50 [00:10<00:34,  1.23it/s]\n 18%|█▊        | 9/50 [00:11<00:31,  1.30it/s]\n 20%|██        | 10/50 [00:12<00:29,  1.35it/s]\n 22%|██▏       | 11/50 [00:12<00:28,  1.39it/s]\n 24%|██▍       | 12/50 [00:13<00:26,  1.42it/s]\n 26%|██▌       | 13/50 [00:14<00:25,  1.44it/s]\n 28%|██▊       | 14/50 [00:14<00:24,  1.45it/s]\n 30%|███       | 15/50 [00:15<00:23,  1.46it/s]\n 32%|███▏      | 16/50 [00:16<00:23,  1.47it/s]\n 34%|███▍      | 17/50 [00:16<00:22,  1.47it/s]\n 36%|███▌      | 18/50 [00:17<00:21,  1.47it/s]\n 38%|███▊      | 19/50 [00:18<00:21,  1.48it/s]\n 40%|████      | 20/50 [00:18<00:20,  1.48it/s]\n 42%|████▏     | 21/50 [00:19<00:19,  1.48it/s]\n 44%|████▍     | 22/50 [00:20<00:18,  1.48it/s]\n 46%|████▌     | 23/50 [00:20<00:18,  1.48it/s]\n 48%|████▊     | 24/50 [00:21<00:17,  1.48it/s]\n 50%|█████     | 25/50 [00:22<00:16,  1.48it/s]\n 52%|█████▏    | 26/50 [00:23<00:16,  1.48it/s]\n 54%|█████▍    | 27/50 [00:23<00:15,  1.48it/s]\n 56%|█████▌    | 28/50 [00:24<00:14,  1.48it/s]\n 58%|█████▊    | 29/50 [00:25<00:14,  1.48it/s]\n 60%|██████    | 30/50 [00:25<00:13,  1.48it/s]\n 62%|██████▏   | 31/50 [00:26<00:12,  1.48it/s]\n 64%|██████▍   | 32/50 [00:27<00:12,  1.48it/s]\n 66%|██████▌   | 33/50 [00:27<00:11,  1.48it/s]\n 68%|██████▊   | 34/50 [00:28<00:10,  1.48it/s]\n 70%|███████   | 35/50 [00:29<00:10,  1.48it/s]\n 72%|███████▏  | 36/50 [00:29<00:09,  1.48it/s]\n 74%|███████▍  | 37/50 [00:30<00:08,  1.48it/s]\n 76%|███████▌  | 38/50 [00:31<00:08,  1.48it/s]\n 78%|███████▊  | 39/50 [00:31<00:07,  1.48it/s]\n 80%|████████  | 40/50 [00:32<00:06,  1.48it/s]\n 82%|████████▏ | 41/50 [00:33<00:06,  1.48it/s]\n 84%|████████▍ | 42/50 [00:33<00:05,  1.48it/s]\n 86%|████████▌ | 43/50 [00:34<00:04,  1.48it/s]\n 88%|████████▊ | 44/50 [00:35<00:04,  1.48it/s]\n 90%|█████████ | 45/50 [00:35<00:03,  1.48it/s]\n 92%|█████████▏| 46/50 [00:36<00:02,  1.48it/s]\n 94%|█████████▍| 47/50 [00:37<00:02,  1.48it/s]\n 96%|█████████▌| 48/50 [00:37<00:01,  1.48it/s]\n 98%|█████████▊| 49/50 [00:38<00:00,  1.48it/s]\n100%|██████████| 50/50 [00:39<00:00,  1.48it/s]\n100%|██████████| 50/50 [00:39<00:00,  1.27it/s]",
  "metrics": {
    "predict_time": 47.149952015,
    "total_time": 1177.018093
  },
  "output": [
    "https://storage.googleapis.com/r8-outputs-us-west1-long-term/ft1rSbYsigXQTiVi6ozvyM9hA1hlmwULl72ZbdJWPoBWIvnJA/DFAIOUT-0.webp"
  ],
  "started_at": "2024-08-05T01:59:25.563141Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ecy8emg8xxrj40ch40sbfzn8vg",
    "cancel": "https://api.replicate.com/v1/predictions/ecy8emg8xxrj40ch40sbfzn8vg/cancel"
  },
  "version": "535c99ed4f0a09e029c5080260191cf1d425fc2d2a119a26114b25bba61ff28d"
}

Generated in

47.1 seconds

Tweak it Iterate in playground Share Report

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Prediction

omniedgeio/cog-flux:989de3167fca2ae877aace28e25296f65c4fbb33804445fbfc404c2a78b425e8

Model

omniedgeio/cog-flux:989de316

ID

eaj73h16ynrj60chcgtvmbhmm0

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

58m 39s

Created

about 1 year ago

Input

mode: schnell
seed: 77
prompt: a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.
hf_lora: https://huggingface.co/wonwizard/flux_lora_cute_korean_girl/blob/main/flux_lora_cute_korean_girl_v1.safetensors
lora_scale: 0.8
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 80
num_inference_steps: 4

{
  "mode": "schnell",
  "seed": 77,
  "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
  "hf_lora": "https://huggingface.co/wonwizard/flux_lora_cute_korean_girl/blob/main/flux_lora_cute_korean_girl_v1.safetensors",
  "lora_scale": 0.8,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "num_inference_steps": 4
}

Install Replicate’s Node.js client library:

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

const output = await replicate.run(
  "omniedgeio/cog-flux:989de3167fca2ae877aace28e25296f65c4fbb33804445fbfc404c2a78b425e8",
  {
    input: {
      mode: "schnell",
      seed: 77,
      prompt: "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
      hf_lora: "https://huggingface.co/wonwizard/flux_lora_cute_korean_girl/blob/main/flux_lora_cute_korean_girl_v1.safetensors",
      lora_scale: 0.8,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      num_inference_steps: 4
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

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

output = replicate.run(
    "omniedgeio/cog-flux:989de3167fca2ae877aace28e25296f65c4fbb33804445fbfc404c2a78b425e8",
    input={
        "mode": "schnell",
        "seed": 77,
        "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
        "hf_lora": "https://huggingface.co/wonwizard/flux_lora_cute_korean_girl/blob/main/flux_lora_cute_korean_girl_v1.safetensors",
        "lora_scale": 0.8,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 4
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Run omniedgeio/cog-flux 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": "omniedgeio/cog-flux:989de3167fca2ae877aace28e25296f65c4fbb33804445fbfc404c2a78b425e8",
    "input": {
      "mode": "schnell",
      "seed": 77,
      "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
      "hf_lora": "https://huggingface.co/wonwizard/flux_lora_cute_korean_girl/blob/main/flux_lora_cute_korean_girl_v1.safetensors",
      "lora_scale": 0.8,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

[ "https://storage.googleapis.com/r8-outputs-us-west1-long-term/Y5YKfJBoQGS6F6WnPGweCq2EgvyCsbbQpgVLvHcLQ0ORa1TTA/DFAIOUT-0.webp" ]

{
  "completed_at": "2024-08-18T07:36:50.161287Z",
  "created_at": "2024-08-18T06:38:10.677000Z",
  "data_removed": false,
  "error": null,
  "id": "eaj73h16ynrj60chcgtvmbhmm0",
  "input": {
    "mode": "schnell",
    "seed": 77,
    "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
    "hf_lora": "https://huggingface.co/wonwizard/flux_lora_cute_korean_girl/blob/main/flux_lora_cute_korean_girl_v1.safetensors",
    "lora_scale": 0.8,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 4
  },
  "logs": "Using seed: 77\nDownloading LoRA weights from HF URL: https://huggingface.co/wonwizard/flux_lora_cute_korean_girl/blob/main/flux_lora_cute_korean_girl_v1.safetensors\nHuggingFace slug from URL: wonwizard/flux_lora_cute_korean_girl\nWeight name from URL: flux_lora_cute_korean_girl_v1.safetensors\n  0%|          | 0/4 [00:00<?, ?it/s]\n 25%|██▌       | 1/4 [00:00<00:01,  1.70it/s]\n 50%|█████     | 2/4 [00:00<00:00,  2.10it/s]\n 75%|███████▌  | 3/4 [00:01<00:00,  2.05it/s]\n100%|██████████| 4/4 [00:01<00:00,  2.03it/s]\n100%|██████████| 4/4 [00:01<00:00,  2.01it/s]",
  "metrics": {
    "predict_time": 7.690003496,
    "total_time": 3519.484287
  },
  "output": [
    "https://storage.googleapis.com/r8-outputs-us-west1-long-term/Y5YKfJBoQGS6F6WnPGweCq2EgvyCsbbQpgVLvHcLQ0ORa1TTA/DFAIOUT-0.webp"
  ],
  "started_at": "2024-08-18T07:36:42.471283Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/eaj73h16ynrj60chcgtvmbhmm0",
    "cancel": "https://api.replicate.com/v1/predictions/eaj73h16ynrj60chcgtvmbhmm0/cancel"
  },
  "version": "989de3167fca2ae877aace28e25296f65c4fbb33804445fbfc404c2a78b425e8"
}

Generated in

7.7 seconds

Tweak it Iterate in playground Share Report

Prediction

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Logs (eaj73h16ynrj60chcgtvmbhmm0)