Prediction

4ztvvaa0n1rmc0cmj08v8r0w6c

Status

Succeeded

Source

Web

Hardware

H100

Total duration

4.2s

Created

5 months ago

Input

image
model: dev
prompt: a person in the style of CYBRPKPP; standing in an alley with English neon signs at night;
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

{
  "image": "https://replicate.delivery/pbxt/MMtKyxzDSD4CrsWOkhPnEN0gwfor6lurT7FuOIiJ0wYAo4Jz/how-do-i-make-my-game-look-like-this-v0-3138qh8lmdv91.webp",
  "model": "dev",
  "prompt": "a person in the style of CYBRPKPP; standing in an alley with English neon signs at night; ",
  "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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MMtKyxzDSD4CrsWOkhPnEN0gwfor6lurT7FuOIiJ0wYAo4Jz/how-do-i-make-my-game-look-like-this-v0-3138qh8lmdv91.webp",
      model: "dev",
      prompt: "a person in the style of CYBRPKPP; standing in an alley with English neon signs at night; ",
      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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    input={
        "image": "https://replicate.delivery/pbxt/MMtKyxzDSD4CrsWOkhPnEN0gwfor6lurT7FuOIiJ0wYAo4Jz/how-do-i-make-my-game-look-like-this-v0-3138qh8lmdv91.webp",
        "model": "dev",
        "prompt": "a person in the style of CYBRPKPP; standing in an alley with English neon signs at night; ",
        "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 beancakes/flux-cyberpunk-people 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": "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    "input": {
      "image": "https://replicate.delivery/pbxt/MMtKyxzDSD4CrsWOkhPnEN0gwfor6lurT7FuOIiJ0wYAo4Jz/how-do-i-make-my-game-look-like-this-v0-3138qh8lmdv91.webp",
      "model": "dev",
      "prompt": "a person in the style of CYBRPKPP; standing in an alley with English neon signs at night; ",
      "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": "2025-01-22T22:10:41.540117Z",
  "created_at": "2025-01-22T22:10:37.352000Z",
  "data_removed": false,
  "error": null,
  "id": "4ztvvaa0n1rmc0cmj08v8r0w6c",
  "input": {
    "image": "https://replicate.delivery/pbxt/MMtKyxzDSD4CrsWOkhPnEN0gwfor6lurT7FuOIiJ0wYAo4Jz/how-do-i-make-my-game-look-like-this-v0-3138qh8lmdv91.webp",
    "model": "dev",
    "prompt": "a person in the style of CYBRPKPP; standing in an alley with English neon signs at night; ",
    "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": "Lora https://replicate.delivery/xezq/obnQCYkNpgoIPJNb46b51MRMqfFlgjToS7EgK83xXEejYxHUA/trained_model.tar already loaded\nUsing seed: 15761\nImage detected - setting to img2img mode\nInput image size: 1080x607\nInput image size set to: 1088x608\n0it [00:00, ?it/s]\n2it [00:00,  9.41it/s]\n3it [00:00,  8.50it/s]\n4it [00:00,  8.10it/s]\n5it [00:00,  7.88it/s]\n6it [00:00,  7.75it/s]\n7it [00:00,  7.67it/s]\n8it [00:01,  7.61it/s]\n9it [00:01,  7.58it/s]\n10it [00:01,  7.54it/s]\n11it [00:01,  7.52it/s]\n12it [00:01,  7.51it/s]\n13it [00:01,  7.51it/s]\n14it [00:01,  7.50it/s]\n15it [00:01,  7.50it/s]\n16it [00:02,  7.50it/s]\n17it [00:02,  7.50it/s]\n18it [00:02,  7.50it/s]\n19it [00:02,  7.50it/s]\n20it [00:02,  7.50it/s]\n21it [00:02,  7.50it/s]\n22it [00:02,  7.49it/s]\n23it [00:03,  7.49it/s]\n23it [00:03,  7.63it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 4.181433972,
    "total_time": 4.188117
  },
  "output": [
    "https://replicate.delivery/xezq/fIWIAYEeimvawk7sqeROuqfcHt7vTTjbEfdr2HRfTa6ew94DKA/out-0.webp"
  ],
  "started_at": "2025-01-22T22:10:37.358683Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-cyz4j26jsfajwvv2noq23drn7sr2cjz2njfxltjiyrnk4juw4sdq",
    "get": "https://api.replicate.com/v1/predictions/4ztvvaa0n1rmc0cmj08v8r0w6c",
    "cancel": "https://api.replicate.com/v1/predictions/4ztvvaa0n1rmc0cmj08v8r0w6c/cancel"
  },
  "version": "5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810"
}

Generated in

4.2 seconds

beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810

Prediction

Model

63wn680sysrme0cmj0v99zxpmc

Status

Succeeded

Source

Web

Hardware

H100

Total duration

8.8s

Created

5 months ago

Input

model: dev
prompt: Full-body image of a CYBRPKPP style woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 4:5
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Full-body image of a CYBRPKPP style woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "4:5",
  "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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
  {
    input: {
      model: "dev",
      prompt: "Full-body image of a CYBRPKPP style woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "4:5",
      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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    input={
        "model": "dev",
        "prompt": "Full-body image of a CYBRPKPP style woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "4:5",
        "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 beancakes/flux-cyberpunk-people 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": "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    "input": {
      "model": "dev",
      "prompt": "Full-body image of a CYBRPKPP style woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "4:5",
      "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": "2025-01-22T22:51:01.111966Z",
  "created_at": "2025-01-22T22:50:52.278000Z",
  "data_removed": false,
  "error": null,
  "id": "63wn680sysrme0cmj0v99zxpmc",
  "input": {
    "model": "dev",
    "prompt": "Full-body image of a CYBRPKPP style woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "4:5",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2025-01-22 22:50:53.597 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 22:50:53.598 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  91%|█████████ | 276/304 [00:00<00:00, 2754.48it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2674.99it/s]\n2025-01-22 22:50:53.712 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29217955663872\nDownloading weights\n2025-01-22T22:50:53Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpzc5ph148/weights url=https://replicate.delivery/xezq/obnQCYkNpgoIPJNb46b51MRMqfFlgjToS7EgK83xXEejYxHUA/trained_model.tar\n2025-01-22T22:50:55Z | INFO  | [ Complete ] dest=/tmp/tmpzc5ph148/weights size=\"215 MB\" total_elapsed=1.666s url=https://replicate.delivery/xezq/obnQCYkNpgoIPJNb46b51MRMqfFlgjToS7EgK83xXEejYxHUA/trained_model.tar\nDownloaded weights in 1.69s\n2025-01-22 22:50:55.404 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/d59ba61db55b73ab\n2025-01-22 22:50:55.484 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-22 22:50:55.484 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 22:50:55.485 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  95%|█████████▌| 289/304 [00:00<00:00, 2856.97it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2808.37it/s]\n2025-01-22 22:50:55.593 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 6999\n0it [00:00, ?it/s]\n1it [00:00,  9.14it/s]\n2it [00:00,  6.50it/s]\n3it [00:00,  5.95it/s]\n4it [00:00,  5.72it/s]\n5it [00:00,  5.58it/s]\n6it [00:01,  5.50it/s]\n7it [00:01,  5.44it/s]\n8it [00:01,  5.41it/s]\n9it [00:01,  5.40it/s]\n10it [00:01,  5.39it/s]\n11it [00:01,  5.39it/s]\n12it [00:02,  5.38it/s]\n13it [00:02,  5.38it/s]\n14it [00:02,  5.36it/s]\n15it [00:02,  5.36it/s]\n16it [00:02,  5.37it/s]\n17it [00:03,  5.37it/s]\n18it [00:03,  5.36it/s]\n19it [00:03,  5.36it/s]\n20it [00:03,  5.35it/s]\n21it [00:03,  5.35it/s]\n22it [00:04,  5.35it/s]\n23it [00:04,  5.34it/s]\n24it [00:04,  5.35it/s]\n25it [00:04,  5.35it/s]\n26it [00:04,  5.36it/s]\n27it [00:04,  5.36it/s]\n28it [00:05,  5.36it/s]\n28it [00:05,  5.44it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 7.513576406,
    "total_time": 8.833966
  },
  "output": [
    "https://replicate.delivery/xezq/x5MJxAaA6M6SBhHyTIMmFRh5a1FU40pUxiOahG6gtQTVo8BF/out-0.webp"
  ],
  "started_at": "2025-01-22T22:50:53.598389Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-pba5f52mc4mn5zfjv57ikozw7pupuon42vozsvobe6wtrovfmvpa",
    "get": "https://api.replicate.com/v1/predictions/63wn680sysrme0cmj0v99zxpmc",
    "cancel": "https://api.replicate.com/v1/predictions/63wn680sysrme0cmj0v99zxpmc/cancel"
  },
  "version": "5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810"
}

Generated in

7.5 seconds

beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810

2025-01-22 22:50:53.597 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-22 22:50:53.598 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  91%|█████████ | 276/304 [00:00<00:00, 2754.48it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2674.99it/s]
2025-01-22 22:50:53.712 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=29217955663872
Downloading weights
2025-01-22T22:50:53Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpzc5ph148/weights url=https://replicate.delivery/xezq/obnQCYkNpgoIPJNb46b51MRMqfFlgjToS7EgK83xXEejYxHUA/trained_model.tar
2025-01-22T22:50:55Z | INFO  | [ Complete ] dest=/tmp/tmpzc5ph148/weights size="215 MB" total_elapsed=1.666s url=https://replicate.delivery/xezq/obnQCYkNpgoIPJNb46b51MRMqfFlgjToS7EgK83xXEejYxHUA/trained_model.tar
Downloaded weights in 1.69s
2025-01-22 22:50:55.404 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/d59ba61db55b73ab
2025-01-22 22:50:55.484 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-22 22:50:55.484 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-22 22:50:55.485 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  95%|█████████▌| 289/304 [00:00<00:00, 2856.97it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2808.37it/s]
2025-01-22 22:50:55.593 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s
Using seed: 6999
0it [00:00, ?it/s]
1it [00:00,  9.14it/s]
2it [00:00,  6.50it/s]
3it [00:00,  5.95it/s]
4it [00:00,  5.72it/s]
5it [00:00,  5.58it/s]
6it [00:01,  5.50it/s]
7it [00:01,  5.44it/s]
8it [00:01,  5.41it/s]
9it [00:01,  5.40it/s]
10it [00:01,  5.39it/s]
11it [00:01,  5.39it/s]
12it [00:02,  5.38it/s]
13it [00:02,  5.38it/s]
14it [00:02,  5.36it/s]
15it [00:02,  5.36it/s]
16it [00:02,  5.37it/s]
17it [00:03,  5.37it/s]
18it [00:03,  5.36it/s]
19it [00:03,  5.36it/s]
20it [00:03,  5.35it/s]
21it [00:03,  5.35it/s]
22it [00:04,  5.35it/s]
23it [00:04,  5.34it/s]
24it [00:04,  5.35it/s]
25it [00:04,  5.35it/s]
26it [00:04,  5.36it/s]
27it [00:04,  5.36it/s]
28it [00:05,  5.36it/s]
28it [00:05,  5.44it/s]
Total safe images: 1 out of 1

Prediction

Model

m8yeekzng1rmc0cmj03b8w5708

Status

Succeeded

Source

Web

Hardware

H100

Total duration

5.9s

Created

5 months ago

Input

model: dev
prompt: A CYBRPKPP-inspired black man stands in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, and robotic limbs with glowing circuits across his body. Wears a combat outfit from head to toe.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 16:9
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "A CYBRPKPP-inspired black man stands in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, and robotic limbs with glowing circuits across his body. Wears a combat outfit from head to toe.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "16:9",
  "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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
  {
    input: {
      model: "dev",
      prompt: "A CYBRPKPP-inspired black man stands in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, and robotic limbs with glowing circuits across his body. Wears a combat outfit from head to toe.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "16:9",
      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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    input={
        "model": "dev",
        "prompt": "A CYBRPKPP-inspired black man stands in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, and robotic limbs with glowing circuits across his body. Wears a combat outfit from head to toe.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "16:9",
        "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 beancakes/flux-cyberpunk-people 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": "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    "input": {
      "model": "dev",
      "prompt": "A CYBRPKPP-inspired black man stands in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, and robotic limbs with glowing circuits across his body. Wears a combat outfit from head to toe.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "16:9",
      "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": "2025-01-22T21:59:28.658108Z",
  "created_at": "2025-01-22T21:59:22.752000Z",
  "data_removed": false,
  "error": null,
  "id": "m8yeekzng1rmc0cmj03b8w5708",
  "input": {
    "model": "dev",
    "prompt": "A CYBRPKPP-inspired black man stands in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, and robotic limbs with glowing circuits across his body. Wears a combat outfit from head to toe.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "16:9",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Lora https://replicate.delivery/xezq/obnQCYkNpgoIPJNb46b51MRMqfFlgjToS7EgK83xXEejYxHUA/trained_model.tar already loaded\nUsing seed: 37499\n0it [00:00, ?it/s]\n1it [00:00,  8.48it/s]\n2it [00:00,  5.97it/s]\n3it [00:00,  5.46it/s]\n4it [00:00,  5.24it/s]\n5it [00:00,  5.13it/s]\n6it [00:01,  5.06it/s]\n7it [00:01,  5.02it/s]\n8it [00:01,  5.00it/s]\n9it [00:01,  4.98it/s]\n10it [00:01,  4.97it/s]\n11it [00:02,  4.96it/s]\n12it [00:02,  4.96it/s]\n13it [00:02,  4.95it/s]\n14it [00:02,  4.95it/s]\n15it [00:02,  4.95it/s]\n16it [00:03,  4.95it/s]\n17it [00:03,  4.94it/s]\n18it [00:03,  4.94it/s]\n19it [00:03,  4.94it/s]\n20it [00:03,  4.94it/s]\n21it [00:04,  4.94it/s]\n22it [00:04,  4.94it/s]\n23it [00:04,  4.94it/s]\n24it [00:04,  4.94it/s]\n25it [00:04,  4.94it/s]\n26it [00:05,  4.94it/s]\n27it [00:05,  4.94it/s]\n28it [00:05,  4.94it/s]\n28it [00:05,  5.02it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 5.898048585,
    "total_time": 5.906108
  },
  "output": [
    "https://replicate.delivery/xezq/I84UnXe9ebqlK08PYXQxxYRJg8GqTLKliUNY73LfAokBijPoA/out-0.webp"
  ],
  "started_at": "2025-01-22T21:59:22.760060Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-zoezwuf55opyccfvtj27fb3phhnfqpd4kovpbsirea4tkaoejfba",
    "get": "https://api.replicate.com/v1/predictions/m8yeekzng1rmc0cmj03b8w5708",
    "cancel": "https://api.replicate.com/v1/predictions/m8yeekzng1rmc0cmj03b8w5708/cancel"
  },
  "version": "5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810"
}

Generated in

5.9 seconds

beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810

Prediction

Model

hdjyd6ebn5rma0cmj0vtwyn7tc

Status

Succeeded

Source

Web

Hardware

H100

Total duration

6.5s

Created

5 months ago

Input

model: dev
prompt: In the style of CYBRPKPP, full-body image of a woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 4:3
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "In the style of CYBRPKPP, full-body image of a woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "4:3",
  "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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
  {
    input: {
      model: "dev",
      prompt: "In the style of CYBRPKPP, full-body image of a woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "4:3",
      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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    input={
        "model": "dev",
        "prompt": "In the style of CYBRPKPP, full-body image of a woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "4:3",
        "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 beancakes/flux-cyberpunk-people 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": "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    "input": {
      "model": "dev",
      "prompt": "In the style of CYBRPKPP, full-body image of a woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "4:3",
      "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": "2025-01-22T22:52:49.846567Z",
  "created_at": "2025-01-22T22:52:43.305000Z",
  "data_removed": false,
  "error": null,
  "id": "hdjyd6ebn5rma0cmj0vtwyn7tc",
  "input": {
    "model": "dev",
    "prompt": "In the style of CYBRPKPP, full-body image of a woman standing in the middle of an alley cluttered with chairs, tables, and scattered debris with neon signs at night; Overhead cables and industrial elements line the narrow street; The person has intricate cybernetic facial implants, sleek metallic plating, robotic limbs with glowing circuits. Wears a combat outfit. ",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "4:3",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2025-01-22 22:52:43.370 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 22:52:43.370 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  90%|█████████ | 275/304 [00:00<00:00, 2741.58it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2654.70it/s]\n2025-01-22 22:52:43.485 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\n2025-01-22 22:52:43.486 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/d59ba61db55b73ab\n2025-01-22 22:52:43.608 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-22 22:52:43.609 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 22:52:43.609 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  95%|█████████▌| 290/304 [00:00<00:00, 2898.03it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2809.13it/s]\n2025-01-22 22:52:43.717 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s\nUsing seed: 43891\n0it [00:00, ?it/s]\n1it [00:00,  8.42it/s]\n2it [00:00,  5.87it/s]\n3it [00:00,  5.36it/s]\n4it [00:00,  5.15it/s]\n5it [00:00,  4.98it/s]\n6it [00:01,  4.91it/s]\n7it [00:01,  4.87it/s]\n8it [00:01,  4.86it/s]\n9it [00:01,  4.84it/s]\n10it [00:01,  4.81it/s]\n11it [00:02,  4.79it/s]\n12it [00:02,  4.79it/s]\n13it [00:02,  4.79it/s]\n14it [00:02,  4.79it/s]\n15it [00:03,  4.79it/s]\n16it [00:03,  4.79it/s]\n17it [00:03,  4.79it/s]\n18it [00:03,  4.80it/s]\n19it [00:03,  4.80it/s]\n20it [00:04,  4.79it/s]\n21it [00:04,  4.78it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.80it/s]\n24it [00:04,  4.80it/s]\n25it [00:05,  4.79it/s]\n26it [00:05,  4.78it/s]\n27it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\n28it [00:05,  4.87it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 6.475354675,
    "total_time": 6.541567
  },
  "output": [
    "https://replicate.delivery/xezq/aqWO6Z4e2xTKIKeuz4Fxjw1w1XyYy2FLMoC1zyv9GUqBjyHUA/out-0.webp"
  ],
  "started_at": "2025-01-22T22:52:43.371212Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-4pvwiuuixkxnn56ypfvrhaubbfxoion63wrjf6hrkwpb72h2rqoa",
    "get": "https://api.replicate.com/v1/predictions/hdjyd6ebn5rma0cmj0vtwyn7tc",
    "cancel": "https://api.replicate.com/v1/predictions/hdjyd6ebn5rma0cmj0vtwyn7tc/cancel"
  },
  "version": "5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810"
}

Generated in

6.5 seconds

beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810

2025-01-22 22:52:43.370 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-22 22:52:43.370 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  90%|█████████ | 275/304 [00:00<00:00, 2741.58it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2654.70it/s]
2025-01-22 22:52:43.485 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s
2025-01-22 22:52:43.486 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/d59ba61db55b73ab
2025-01-22 22:52:43.608 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-22 22:52:43.609 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-22 22:52:43.609 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  95%|█████████▌| 290/304 [00:00<00:00, 2898.03it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2809.13it/s]
2025-01-22 22:52:43.717 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s
Using seed: 43891
0it [00:00, ?it/s]
1it [00:00,  8.42it/s]
2it [00:00,  5.87it/s]
3it [00:00,  5.36it/s]
4it [00:00,  5.15it/s]
5it [00:00,  4.98it/s]
6it [00:01,  4.91it/s]
7it [00:01,  4.87it/s]
8it [00:01,  4.86it/s]
9it [00:01,  4.84it/s]
10it [00:01,  4.81it/s]
11it [00:02,  4.79it/s]
12it [00:02,  4.79it/s]
13it [00:02,  4.79it/s]
14it [00:02,  4.79it/s]
15it [00:03,  4.79it/s]
16it [00:03,  4.79it/s]
17it [00:03,  4.79it/s]
18it [00:03,  4.80it/s]
19it [00:03,  4.80it/s]
20it [00:04,  4.79it/s]
21it [00:04,  4.78it/s]
22it [00:04,  4.79it/s]
23it [00:04,  4.80it/s]
24it [00:04,  4.80it/s]
25it [00:05,  4.79it/s]
26it [00:05,  4.78it/s]
27it [00:05,  4.79it/s]
28it [00:05,  4.79it/s]
28it [00:05,  4.87it/s]
Total safe images: 1 out of 1

Prediction

Model

021aejgxddrm80cmj11vkchw4r

Status

Succeeded

Source

Web

Hardware

H100

Total duration

8.6s

Created

5 months ago

Input

model: dev
prompt: In the style of CYBRPKPP, a grand cityscape with a wall of neon advertisements and holographic signs, a grand staircase leading toward the illuminated facade, with a dark, moody atmosphere enhanced by fog and scattered lighting. Focus on a dense, futuristic urban hub, bustling with dystopian energy.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 4:3
output_format: webp
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "In the style of CYBRPKPP, a grand cityscape with a wall of neon advertisements and holographic signs, a grand staircase leading toward the illuminated facade, with a dark, moody atmosphere enhanced by fog and scattered lighting. Focus on a dense, futuristic urban hub, bustling with dystopian energy. ",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "4:3",
  "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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
  {
    input: {
      model: "dev",
      prompt: "In the style of CYBRPKPP, a grand cityscape with a wall of neon advertisements and holographic signs, a grand staircase leading toward the illuminated facade, with a dark, moody atmosphere enhanced by fog and scattered lighting. Focus on a dense, futuristic urban hub, bustling with dystopian energy. ",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "4:3",
      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 beancakes/flux-cyberpunk-people using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    input={
        "model": "dev",
        "prompt": "In the style of CYBRPKPP, a grand cityscape with a wall of neon advertisements and holographic signs, a grand staircase leading toward the illuminated facade, with a dark, moody atmosphere enhanced by fog and scattered lighting. Focus on a dense, futuristic urban hub, bustling with dystopian energy. ",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "4:3",
        "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 beancakes/flux-cyberpunk-people 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": "beancakes/flux-cyberpunk-people:5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810",
    "input": {
      "model": "dev",
      "prompt": "In the style of CYBRPKPP, a grand cityscape with a wall of neon advertisements and holographic signs, a grand staircase leading toward the illuminated facade, with a dark, moody atmosphere enhanced by fog and scattered lighting. Focus on a dense, futuristic urban hub, bustling with dystopian energy. ",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "4:3",
      "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": "2025-01-22T23:05:13.769368Z",
  "created_at": "2025-01-22T23:05:05.131000Z",
  "data_removed": false,
  "error": null,
  "id": "021aejgxddrm80cmj11vkchw4r",
  "input": {
    "model": "dev",
    "prompt": "In the style of CYBRPKPP, a grand cityscape with a wall of neon advertisements and holographic signs, a grand staircase leading toward the illuminated facade, with a dark, moody atmosphere enhanced by fog and scattered lighting. Focus on a dense, futuristic urban hub, bustling with dystopian energy. ",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "4:3",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2025-01-22 23:05:06.308 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 23:05:06.309 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  91%|█████████ | 277/304 [00:00<00:00, 2758.38it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2629.54it/s]\n2025-01-22 23:05:06.425 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29195778867200\nDownloading weights\n2025-01-22T23:05:06Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmph1wn4oy2/weights url=https://replicate.delivery/xezq/obnQCYkNpgoIPJNb46b51MRMqfFlgjToS7EgK83xXEejYxHUA/trained_model.tar\n2025-01-22T23:05:07Z | INFO  | [ Complete ] dest=/tmp/tmph1wn4oy2/weights size=\"215 MB\" total_elapsed=1.078s url=https://replicate.delivery/xezq/obnQCYkNpgoIPJNb46b51MRMqfFlgjToS7EgK83xXEejYxHUA/trained_model.tar\nDownloaded weights in 1.10s\n2025-01-22 23:05:07.529 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/d59ba61db55b73ab\n2025-01-22 23:05:07.608 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-22 23:05:07.609 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 23:05:07.609 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  94%|█████████▍| 285/304 [00:00<00:00, 2841.49it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2739.88it/s]\n2025-01-22 23:05:07.720 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 32229\n0it [00:00, ?it/s]\n1it [00:00,  8.49it/s]\n2it [00:00,  5.95it/s]\n3it [00:00,  5.44it/s]\n4it [00:00,  5.22it/s]\n5it [00:00,  5.09it/s]\n6it [00:01,  4.99it/s]\n7it [00:01,  4.95it/s]\n8it [00:01,  4.94it/s]\n9it [00:01,  4.93it/s]\n10it [00:01,  4.91it/s]\n11it [00:02,  4.89it/s]\n12it [00:02,  4.88it/s]\n13it [00:02,  4.88it/s]\n14it [00:02,  4.88it/s]\n15it [00:02,  4.88it/s]\n16it [00:03,  4.87it/s]\n17it [00:03,  4.87it/s]\n18it [00:03,  4.87it/s]\n19it [00:03,  4.87it/s]\n20it [00:04,  4.87it/s]\n21it [00:04,  4.88it/s]\n22it [00:04,  4.88it/s]\n23it [00:04,  4.88it/s]\n24it [00:04,  4.88it/s]\n25it [00:05,  4.88it/s]\n26it [00:05,  4.87it/s]\n27it [00:05,  4.87it/s]\n28it [00:05,  4.87it/s]\n28it [00:05,  4.95it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 7.460305656,
    "total_time": 8.638368
  },
  "output": [
    "https://replicate.delivery/xezq/2hD4a9lPMFpmL9fV9bhNyyVvfTVy7F1Nt3pfJsQHLdKSdlPoA/out-0.webp"
  ],
  "started_at": "2025-01-22T23:05:06.309063Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-jubrfpn56pa4rkafhhh33r4jclxoddon2nuexphypdobxuzwux7q",
    "get": "https://api.replicate.com/v1/predictions/021aejgxddrm80cmj11vkchw4r",
    "cancel": "https://api.replicate.com/v1/predictions/021aejgxddrm80cmj11vkchw4r/cancel"
  },
  "version": "5ece7e410929dfd5a9ce8212e44e70dfdfb600f6afe4009f7b116091c5114810"
}

Generated in

7.5 seconds