Prediction

3beh3m4g15rme0cpyg8tfjeqjm

Status

Succeeded

Source

Web

Hardware

H100

Total duration

11.6s

Created

about 2 months ago

Input

model: dev
prompt: FGAL magician hat, white background, game asset, pixel art
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": "FGAL magician hat, white background, game asset, pixel art",
  "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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
  {
    input: {
      model: "dev",
      prompt: "FGAL magician hat, white background, game asset, pixel art",
      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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    input={
        "model": "dev",
        "prompt": "FGAL magician hat, white background, game asset, pixel art",
        "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 replicate/flux-2d-game-assets 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": "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    "input": {
      "model": "dev",
      "prompt": "FGAL magician hat, white background, game asset, pixel art",
      "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d \
  -i 'model="dev"' \
  -i 'prompt="FGAL magician hat, white background, game asset, pixel art"' \
  -i 'go_fast=false' \
  -i 'lora_scale=1' \
  -i 'megapixels="1"' \
  -i 'num_outputs=1' \
  -i 'aspect_ratio="1:1"' \
  -i 'output_format="webp"' \
  -i 'guidance_scale=3' \
  -i 'output_quality=80' \
  -i 'prompt_strength=0.8' \
  -i 'extra_lora_scale=1' \
  -i 'num_inference_steps=28'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model": "dev",
      "prompt": "FGAL magician hat, white background, game asset, pixel art",
      "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
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2025-05-21T18:18:45.420758Z",
  "created_at": "2025-05-21T18:18:33.865000Z",
  "data_removed": false,
  "error": null,
  "id": "3beh3m4g15rme0cpyg8tfjeqjm",
  "input": {
    "model": "dev",
    "prompt": "FGAL magician hat, white background, game asset, pixel art",
    "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=27688974839808\nDownloading weights\n2025-05-21T18:18:34Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp7dk6af9s/weights url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar\n2025-05-21T18:18:34Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-21T18:18:37Z | INFO  | [ Complete ] dest=/tmp/tmp7dk6af9s/weights size=\"172 MB\" total_elapsed=2.932s url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar\nDownloaded weights in 2.95s\nLoaded LoRAs in 3.47s\nUsing seed: 24571\nPrompt: FGAL magician hat, white background, game asset, pixel art\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.80it/s]\n  7%|▋         | 2/28 [00:00<00:06,  4.31it/s]\n 11%|█         | 3/28 [00:00<00:06,  4.07it/s]\n 14%|█▍        | 4/28 [00:00<00:06,  3.97it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  3.91it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  3.88it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.86it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.85it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  3.83it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  3.83it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  3.82it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.82it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  3.82it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.82it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  3.82it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.81it/s]\n 61%|██████    | 17/28 [00:04<00:02,  3.81it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  3.81it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  3.81it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.81it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.81it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  3.81it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  3.81it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.81it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  3.81it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  3.81it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.81it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.81it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.84it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 11.013556733,
    "total_time": 11.555758
  },
  "output": [
    "https://replicate.delivery/xezq/npT5SgecQFyue0q8Gjqx1YaNlyaCPuXNbSzuhrffwYRWwy7SB/out-0.webp"
  ],
  "started_at": "2025-05-21T18:18:34.407201Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-lo4ksn2xuwgm245l3ut3wev6mu2qx2xjjh4quiikz6griwrmq7za",
    "get": "https://api.replicate.com/v1/predictions/3beh3m4g15rme0cpyg8tfjeqjm",
    "cancel": "https://api.replicate.com/v1/predictions/3beh3m4g15rme0cpyg8tfjeqjm/cancel"
  },
  "version": "0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d"
}

Generated in

11.0 seconds

replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d

free=27688974839808
Downloading weights
2025-05-21T18:18:34Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp7dk6af9s/weights url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar
2025-05-21T18:18:34Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local
2025-05-21T18:18:37Z | INFO  | [ Complete ] dest=/tmp/tmp7dk6af9s/weights size="172 MB" total_elapsed=2.932s url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar
Downloaded weights in 2.95s
Loaded LoRAs in 3.47s
Using seed: 24571
Prompt: FGAL magician hat, white background, game asset, pixel art
[!] txt2img mode
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:00<00:07,  3.80it/s]
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100%|██████████| 28/28 [00:07<00:00,  3.84it/s]
Total safe images: 1 out of 1

Prediction

Model

a23p1w9afxrmc0cpyg99m7vhr8

Status

Succeeded

Source

Web

Hardware

H100

Total duration

11.7s

Created

about 2 months ago

Input

model: dev
prompt: FGAL viking shield, white background, game asset, pixel art
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": "FGAL viking shield, white background, game asset, pixel art",
  "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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
  {
    input: {
      model: "dev",
      prompt: "FGAL viking shield, white background, game asset, pixel art",
      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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    input={
        "model": "dev",
        "prompt": "FGAL viking shield, white background, game asset, pixel art",
        "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 replicate/flux-2d-game-assets 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": "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    "input": {
      "model": "dev",
      "prompt": "FGAL viking shield, white background, game asset, pixel art",
      "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d \
  -i 'model="dev"' \
  -i 'prompt="FGAL viking shield, white background, game asset, pixel art"' \
  -i 'go_fast=false' \
  -i 'lora_scale=1' \
  -i 'megapixels="1"' \
  -i 'num_outputs=1' \
  -i 'aspect_ratio="1:1"' \
  -i 'output_format="webp"' \
  -i 'guidance_scale=3' \
  -i 'output_quality=80' \
  -i 'prompt_strength=0.8' \
  -i 'extra_lora_scale=1' \
  -i 'num_inference_steps=28'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model": "dev",
      "prompt": "FGAL viking shield, white background, game asset, pixel art",
      "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
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2025-05-21T18:19:25.088487Z",
  "created_at": "2025-05-21T18:19:13.407000Z",
  "data_removed": false,
  "error": null,
  "id": "a23p1w9afxrmc0cpyg99m7vhr8",
  "input": {
    "model": "dev",
    "prompt": "FGAL viking shield, white background, game asset, pixel art",
    "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=27175418798080\nDownloading weights\n2025-05-21T18:19:13Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpbg1x9ewv/weights url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar\n2025-05-21T18:19:13Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-21T18:19:17Z | INFO  | [ Complete ] dest=/tmp/tmpbg1x9ewv/weights size=\"172 MB\" total_elapsed=3.512s url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar\nDownloaded weights in 3.53s\nLoaded LoRAs in 4.06s\nUsing seed: 41006\nPrompt: FGAL viking shield, white background, game asset, pixel art\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.82it/s]\n  7%|▋         | 2/28 [00:00<00:06,  4.33it/s]\n 11%|█         | 3/28 [00:00<00:06,  4.09it/s]\n 14%|█▍        | 4/28 [00:00<00:06,  3.98it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  3.92it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  3.89it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.87it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.85it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  3.84it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  3.84it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  3.84it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.83it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  3.83it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.83it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  3.83it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.83it/s]\n 61%|██████    | 17/28 [00:04<00:02,  3.83it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  3.83it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  3.83it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.83it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.82it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  3.82it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  3.83it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.83it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  3.83it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  3.82it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.82it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.83it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.85it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 11.582276076,
    "total_time": 11.681487
  },
  "output": [
    "https://replicate.delivery/xezq/KwcQj3rkidY4MNKGGN88FtrTR3zBnBiikPPIT9zHTDULLvLF/out-0.webp"
  ],
  "started_at": "2025-05-21T18:19:13.506211Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-kjowjbmr3ykssiizvgaigphlq3mtm6bqedblp4lxgvq76tlumdka",
    "get": "https://api.replicate.com/v1/predictions/a23p1w9afxrmc0cpyg99m7vhr8",
    "cancel": "https://api.replicate.com/v1/predictions/a23p1w9afxrmc0cpyg99m7vhr8/cancel"
  },
  "version": "0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d"
}

Generated in

11.6 seconds

replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d

free=27175418798080
Downloading weights
2025-05-21T18:19:13Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpbg1x9ewv/weights url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar
2025-05-21T18:19:13Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local
2025-05-21T18:19:17Z | INFO  | [ Complete ] dest=/tmp/tmpbg1x9ewv/weights size="172 MB" total_elapsed=3.512s url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar
Downloaded weights in 3.53s
Loaded LoRAs in 4.06s
Using seed: 41006
Prompt: FGAL viking shield, white background, game asset, pixel art
[!] txt2img mode
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100%|██████████| 28/28 [00:07<00:00,  3.85it/s]
Total safe images: 1 out of 1

Prediction

Model

mcam4yc51drma0cpyg98vpdjbm

Status

Succeeded

Source

Web

Hardware

H100

Total duration

7.6s

Created

about 2 months ago

Input

model: dev
prompt: FGAL golden key, white background, game asset, pixel art
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": "FGAL golden key, white background, game asset, pixel art",
  "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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
  {
    input: {
      model: "dev",
      prompt: "FGAL golden key, white background, game asset, pixel art",
      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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    input={
        "model": "dev",
        "prompt": "FGAL golden key, white background, game asset, pixel art",
        "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 replicate/flux-2d-game-assets 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": "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    "input": {
      "model": "dev",
      "prompt": "FGAL golden key, white background, game asset, pixel art",
      "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d \
  -i 'model="dev"' \
  -i 'prompt="FGAL golden key, white background, game asset, pixel art"' \
  -i 'go_fast=false' \
  -i 'lora_scale=1' \
  -i 'megapixels="1"' \
  -i 'num_outputs=1' \
  -i 'aspect_ratio="1:1"' \
  -i 'output_format="webp"' \
  -i 'guidance_scale=3' \
  -i 'output_quality=80' \
  -i 'prompt_strength=0.8' \
  -i 'extra_lora_scale=1' \
  -i 'num_inference_steps=28'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model": "dev",
      "prompt": "FGAL golden key, white background, game asset, pixel art",
      "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
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2025-05-21T18:19:44.147438Z",
  "created_at": "2025-05-21T18:19:36.587000Z",
  "data_removed": false,
  "error": null,
  "id": "mcam4yc51drma0cpyg98vpdjbm",
  "input": {
    "model": "dev",
    "prompt": "FGAL golden key, white background, game asset, pixel art",
    "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 0.03s\nUsing seed: 64269\nPrompt: FGAL golden key, white background, game asset, pixel art\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.83it/s]\n  7%|▋         | 2/28 [00:00<00:06,  4.33it/s]\n 11%|█         | 3/28 [00:00<00:06,  4.09it/s]\n 14%|█▍        | 4/28 [00:00<00:06,  3.98it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  3.92it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  3.88it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.86it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.85it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  3.85it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  3.84it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  3.84it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.84it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  3.83it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.83it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  3.83it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.83it/s]\n 61%|██████    | 17/28 [00:04<00:02,  3.83it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  3.83it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  3.83it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.83it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.83it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  3.83it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  3.83it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.83it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  3.83it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  3.83it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.83it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.83it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.85it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 7.551208577,
    "total_time": 7.560438
  },
  "output": [
    "https://replicate.delivery/xezq/4oFr4wY9QVq5ONphDz1XJDv2ffpOOOPS4MeoQbv7glhAa5dpA/out-0.webp"
  ],
  "started_at": "2025-05-21T18:19:36.596229Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-wdd3w7sjhmiwewp3cxmimr2jrq56uotlh6db47nkijmuwxpk6a5a",
    "get": "https://api.replicate.com/v1/predictions/mcam4yc51drma0cpyg98vpdjbm",
    "cancel": "https://api.replicate.com/v1/predictions/mcam4yc51drma0cpyg98vpdjbm/cancel"
  },
  "version": "0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d"
}

Generated in

7.6 seconds

replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d

Prediction

Model

detcbcdvvxrm80cpyg992kqvq8

Status

Succeeded

Source

Web

Hardware

H100

Total duration

7.6s

Created

about 2 months ago

Input

model: dev
prompt: FGAL iron sword, white background, game asset, pixel art
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": "FGAL iron sword, white background, game asset, pixel art",
  "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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
  {
    input: {
      model: "dev",
      prompt: "FGAL iron sword, white background, game asset, pixel art",
      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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    input={
        "model": "dev",
        "prompt": "FGAL iron sword, white background, game asset, pixel art",
        "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 replicate/flux-2d-game-assets 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": "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    "input": {
      "model": "dev",
      "prompt": "FGAL iron sword, white background, game asset, pixel art",
      "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d \
  -i 'model="dev"' \
  -i 'prompt="FGAL iron sword, white background, game asset, pixel art"' \
  -i 'go_fast=false' \
  -i 'lora_scale=1' \
  -i 'megapixels="1"' \
  -i 'num_outputs=1' \
  -i 'aspect_ratio="1:1"' \
  -i 'output_format="webp"' \
  -i 'guidance_scale=3' \
  -i 'output_quality=80' \
  -i 'prompt_strength=0.8' \
  -i 'extra_lora_scale=1' \
  -i 'num_inference_steps=28'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model": "dev",
      "prompt": "FGAL iron sword, white background, game asset, pixel art",
      "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
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2025-05-21T18:19:58.241512Z",
  "created_at": "2025-05-21T18:19:50.623000Z",
  "data_removed": false,
  "error": null,
  "id": "detcbcdvvxrm80cpyg992kqvq8",
  "input": {
    "model": "dev",
    "prompt": "FGAL iron sword, white background, game asset, pixel art",
    "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 0.03s\nUsing seed: 51281\nPrompt: FGAL iron sword, white background, game asset, pixel art\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.83it/s]\n  7%|▋         | 2/28 [00:00<00:05,  4.33it/s]\n 11%|█         | 3/28 [00:00<00:06,  4.09it/s]\n 14%|█▍        | 4/28 [00:00<00:06,  3.98it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  3.93it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  3.89it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.87it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.86it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  3.85it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  3.84it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  3.84it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.83it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  3.83it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.83it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  3.83it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.83it/s]\n 61%|██████    | 17/28 [00:04<00:02,  3.83it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  3.83it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  3.83it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.82it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.83it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  3.83it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  3.82it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.82it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  3.82it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  3.83it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.83it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.82it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.85it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 7.607819207,
    "total_time": 7.618512
  },
  "output": [
    "https://replicate.delivery/xezq/5WcjEvWorK65HhRPVgGsaYLQgCLbqCUHPXHbTuZn14oTLvLF/out-0.webp"
  ],
  "started_at": "2025-05-21T18:19:50.633692Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-5hveo4ffp474jwnt4ty37uu7cpwgsag4udvrswnqs4loeqpx755a",
    "get": "https://api.replicate.com/v1/predictions/detcbcdvvxrm80cpyg992kqvq8",
    "cancel": "https://api.replicate.com/v1/predictions/detcbcdvvxrm80cpyg992kqvq8/cancel"
  },
  "version": "0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d"
}

Generated in

7.6 seconds

replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d

Prediction

Model

664xz5t459rma0cpyg9vj7wagw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

8.9s

Created

about 2 months ago

Input

model: dev
prompt: FGAL healing crystal, white background, game asset, pixel art
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": "FGAL healing crystal, white background, game asset, pixel art",
  "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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
  {
    input: {
      model: "dev",
      prompt: "FGAL healing crystal, white background, game asset, pixel art",
      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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    input={
        "model": "dev",
        "prompt": "FGAL healing crystal, white background, game asset, pixel art",
        "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 replicate/flux-2d-game-assets 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": "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    "input": {
      "model": "dev",
      "prompt": "FGAL healing crystal, white background, game asset, pixel art",
      "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d \
  -i 'model="dev"' \
  -i 'prompt="FGAL healing crystal, white background, game asset, pixel art"' \
  -i 'go_fast=false' \
  -i 'lora_scale=1' \
  -i 'megapixels="1"' \
  -i 'num_outputs=1' \
  -i 'aspect_ratio="1:1"' \
  -i 'output_format="webp"' \
  -i 'guidance_scale=3' \
  -i 'output_quality=80' \
  -i 'prompt_strength=0.8' \
  -i 'extra_lora_scale=1' \
  -i 'num_inference_steps=28'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model": "dev",
      "prompt": "FGAL healing crystal, white background, game asset, pixel art",
      "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
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2025-05-21T18:20:34.440023Z",
  "created_at": "2025-05-21T18:20:25.514000Z",
  "data_removed": false,
  "error": null,
  "id": "664xz5t459rma0cpyg9vj7wagw",
  "input": {
    "model": "dev",
    "prompt": "FGAL healing crystal, white background, game asset, pixel art",
    "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=27887389929472\nDownloading weights\n2025-05-21T18:20:25Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpped5jgr6/weights url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar\n2025-05-21T18:20:25Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-21T18:20:26Z | INFO  | [ Complete ] dest=/tmp/tmpped5jgr6/weights size=\"172 MB\" total_elapsed=0.484s url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar\nDownloaded weights in 0.50s\nLoaded LoRAs in 1.01s\nUsing seed: 43198\nPrompt: FGAL healing crystal, white background, game asset, pixel art\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.82it/s]\n  7%|▋         | 2/28 [00:00<00:06,  4.33it/s]\n 11%|█         | 3/28 [00:00<00:06,  4.08it/s]\n 14%|█▍        | 4/28 [00:00<00:06,  3.98it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  3.92it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  3.89it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.86it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.85it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  3.84it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  3.84it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  3.83it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.83it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  3.83it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.83it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  3.83it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.82it/s]\n 61%|██████    | 17/28 [00:04<00:02,  3.82it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  3.82it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  3.82it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.82it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.82it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  3.82it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  3.82it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.82it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  3.82it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  3.82it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.82it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.82it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.85it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 8.591745153,
    "total_time": 8.926023
  },
  "output": [
    "https://replicate.delivery/xezq/IAcPkf3Uf1mapUmXvEbwXVnoLEfYATmKfxSCv3SfhoCTul3lC/out-0.webp"
  ],
  "started_at": "2025-05-21T18:20:25.848278Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-hoicixhdfbuvklx7jagskatvc7xsok2cm5h4dnvvvqbkraetaxtq",
    "get": "https://api.replicate.com/v1/predictions/664xz5t459rma0cpyg9vj7wagw",
    "cancel": "https://api.replicate.com/v1/predictions/664xz5t459rma0cpyg9vj7wagw/cancel"
  },
  "version": "0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d"
}

Generated in

8.6 seconds

replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d

free=27887389929472
Downloading weights
2025-05-21T18:20:25Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpped5jgr6/weights url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar
2025-05-21T18:20:25Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local
2025-05-21T18:20:26Z | INFO  | [ Complete ] dest=/tmp/tmpped5jgr6/weights size="172 MB" total_elapsed=0.484s url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar
Downloaded weights in 0.50s
Loaded LoRAs in 1.01s
Using seed: 43198
Prompt: FGAL healing crystal, white background, game asset, pixel art
[!] txt2img mode
  0%|          | 0/28 [00:00<?, ?it/s]
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100%|██████████| 28/28 [00:07<00:00,  3.85it/s]
Total safe images: 1 out of 1

Prediction

Model

nj9k608csdrme0cpyg9s45cq8w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

12.5s

Created

about 2 months ago

Input

model: dev
prompt: FGAL healing crystal, white background, game asset, pixel art
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": "FGAL healing crystal, white background, game asset, pixel art",
  "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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
  {
    input: {
      model: "dev",
      prompt: "FGAL healing crystal, white background, game asset, pixel art",
      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 replicate/flux-2d-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    input={
        "model": "dev",
        "prompt": "FGAL healing crystal, white background, game asset, pixel art",
        "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 replicate/flux-2d-game-assets 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": "replicate/flux-2d-game-assets:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d",
    "input": {
      "model": "dev",
      "prompt": "FGAL healing crystal, white background, game asset, pixel art",
      "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d \
  -i 'model="dev"' \
  -i 'prompt="FGAL healing crystal, white background, game asset, pixel art"' \
  -i 'go_fast=false' \
  -i 'lora_scale=1' \
  -i 'megapixels="1"' \
  -i 'num_outputs=1' \
  -i 'aspect_ratio="1:1"' \
  -i 'output_format="webp"' \
  -i 'guidance_scale=3' \
  -i 'output_quality=80' \
  -i 'prompt_strength=0.8' \
  -i 'extra_lora_scale=1' \
  -i 'num_inference_steps=28'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/replicate/flux-2d-game-assets@sha256:0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model": "dev",
      "prompt": "FGAL healing crystal, white background, game asset, pixel art",
      "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
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2025-05-21T18:20:23.837415Z",
  "created_at": "2025-05-21T18:20:11.339000Z",
  "data_removed": false,
  "error": null,
  "id": "nj9k608csdrme0cpyg9s45cq8w",
  "input": {
    "model": "dev",
    "prompt": "FGAL healing crystal, white background, game asset, pixel art",
    "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=27378512183296\nDownloading weights\n2025-05-21T18:20:11Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpmd0g4p7i/weights url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar\n2025-05-21T18:20:11Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-21T18:20:15Z | INFO  | [ Complete ] dest=/tmp/tmpmd0g4p7i/weights size=\"172 MB\" total_elapsed=4.315s url=https://replicate.delivery/xezq/dnAVEyHgxsqyOl0YhsBZZofFy2UvMW9EfMTk9mH4WGikq8uUA/flux-lora.tar\nDownloaded weights in 4.34s\nLoaded LoRAs in 4.88s\nUsing seed: 40925\nPrompt: FGAL healing crystal, white background, game asset, pixel art\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.82it/s]\n  7%|▋         | 2/28 [00:00<00:06,  4.33it/s]\n 11%|█         | 3/28 [00:00<00:06,  4.09it/s]\n 14%|█▍        | 4/28 [00:00<00:06,  3.98it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  3.93it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  3.89it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.87it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.86it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  3.85it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  3.84it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  3.83it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.84it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  3.83it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.83it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  3.83it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.82it/s]\n 61%|██████    | 17/28 [00:04<00:02,  3.82it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  3.82it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  3.82it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.83it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.82it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  3.82it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  3.82it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.82it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  3.82it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  3.82it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.83it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.83it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.85it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 12.456835803,
    "total_time": 12.498415
  },
  "output": [
    "https://replicate.delivery/xezq/lScB9fUViPSoP6vpVOpXEYCqUqs6XfQzARGNOhf8fNeeZLvLF/out-0.webp"
  ],
  "started_at": "2025-05-21T18:20:11.380579Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-g2a3b27ctxff76wjy3kp7gppszrrus6i2hmm4hzjxw6eef7ycjuq",
    "get": "https://api.replicate.com/v1/predictions/nj9k608csdrme0cpyg9s45cq8w",
    "cancel": "https://api.replicate.com/v1/predictions/nj9k608csdrme0cpyg9s45cq8w/cancel"
  },
  "version": "0afb5cc10c16d8b5b8af800cbfe236481348936f4d872e404d1b7ce1e3b9c96d"
}

Generated in

12.5 seconds