Prediction

ID

6by4xyh9d9rj00cj8p9ae2w3f4

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

5.7s

Created

8 months ago

Input

model: schnell
prompt: A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 100
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 8

{
  "model": "schnell",
  "prompt": "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 8
}

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

const output = await replicate.run(
  "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
  {
    input: {
      model: "schnell",
      prompt: "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 100,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 8
    }
  }
);

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

output = replicate.run(
    "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    input={
        "model": "schnell",
        "prompt": "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 8
    }
)
print(output)

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

Run miike-ai/flux-sprites 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": "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    "input": {
      "model": "schnell",
      "prompt": "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-01T00:54:25.445220Z",
  "created_at": "2024-10-01T00:54:19.754000Z",
  "data_removed": false,
  "error": null,
  "id": "6by4xyh9d9rj00cj8p9ae2w3f4",
  "input": {
    "model": "schnell",
    "prompt": "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 28961\nPrompt: A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.\n[!] txt2img mode\nUsing schnell model\nWeights already loaded\nLoaded LoRAs in 0.03s\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:04,  1.59it/s]\n 25%|██▌       | 2/8 [00:01<00:03,  1.80it/s]\n 38%|███▊      | 3/8 [00:01<00:02,  1.70it/s]\n 50%|█████     | 4/8 [00:02<00:02,  1.66it/s]\n 62%|██████▎   | 5/8 [00:03<00:01,  1.63it/s]\n 75%|███████▌  | 6/8 [00:03<00:01,  1.62it/s]\n 88%|████████▊ | 7/8 [00:04<00:00,  1.61it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.61it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.63it/s]",
  "metrics": {
    "predict_time": 5.681313494,
    "total_time": 5.69122
  },
  "output": [
    "https://replicate.delivery/yhqm/f0Rwm83XYt0NDKy2H4xrkiFskor4LlpbpWzvIRzNN4kg0HxJA/out-0.webp"
  ],
  "started_at": "2024-10-01T00:54:19.763907Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6by4xyh9d9rj00cj8p9ae2w3f4",
    "cancel": "https://api.replicate.com/v1/predictions/6by4xyh9d9rj00cj8p9ae2w3f4/cancel"
  },
  "version": "bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9"
}

Generated in

5.7 seconds

miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9

Prediction

Model

ID

9pjam2r2qsrj40cj8p9rxaba7r

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

8.4s

Created

8 months ago

Input

model: schnell
prompt: A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 100
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 8

{
  "model": "schnell",
  "prompt": "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 8
}

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

const output = await replicate.run(
  "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
  {
    input: {
      model: "schnell",
      prompt: "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 100,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 8
    }
  }
);

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

output = replicate.run(
    "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    input={
        "model": "schnell",
        "prompt": "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 8
    }
)
print(output)

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

Run miike-ai/flux-sprites 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": "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    "input": {
      "model": "schnell",
      "prompt": "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-01T00:55:23.751427Z",
  "created_at": "2024-10-01T00:55:15.390000Z",
  "data_removed": false,
  "error": null,
  "id": "9pjam2r2qsrj40cj8p9rxaba7r",
  "input": {
    "model": "schnell",
    "prompt": "A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 7106\nPrompt: A sprite sheet of SPRITES showcasing animated characters in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.\n[!] txt2img mode\nUsing schnell model\nfree=3698371379200\nDownloading weights\n2024-10-01T00:55:15Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpmvfw1_lv/weights url=https://replicate.delivery/yhqm/BrBhiiwPD0ZSM1m5lv38DSuTd9xXKLJQFFpUR5vM7Q0Erj4E/trained_model.tar\n2024-10-01T00:55:17Z | INFO  | [ Complete ] dest=/tmp/tmpmvfw1_lv/weights size=\"1.4 GB\" total_elapsed=1.749s url=https://replicate.delivery/yhqm/BrBhiiwPD0ZSM1m5lv38DSuTd9xXKLJQFFpUR5vM7Q0Erj4E/trained_model.tar\nDownloaded weights in 1.82s\nLoaded LoRAs in 2.74s\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:04,  1.58it/s]\n 25%|██▌       | 2/8 [00:01<00:03,  1.79it/s]\n 38%|███▊      | 3/8 [00:01<00:02,  1.69it/s]\n 50%|█████     | 4/8 [00:02<00:02,  1.65it/s]\n 62%|██████▎   | 5/8 [00:03<00:01,  1.63it/s]\n 75%|███████▌  | 6/8 [00:03<00:01,  1.61it/s]\n 88%|████████▊ | 7/8 [00:04<00:00,  1.60it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.60it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.63it/s]",
  "metrics": {
    "predict_time": 8.350566138,
    "total_time": 8.361427
  },
  "output": [
    "https://replicate.delivery/yhqm/329lnxlRnNrjKREUDP93CgVCS6xjKFq56wK9YcEJr06e0HxJA/out-0.webp"
  ],
  "started_at": "2024-10-01T00:55:15.400861Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/9pjam2r2qsrj40cj8p9rxaba7r",
    "cancel": "https://api.replicate.com/v1/predictions/9pjam2r2qsrj40cj8p9rxaba7r/cancel"
  },
  "version": "bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9"
}

Generated in

8.4 seconds

miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9

Prediction

Model

ID

x7ygt0cw29rj40cj92zvbp07xc

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

1m 34s

Created

8 months ago

Input

model: schnell
prompt: A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 100
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 8

{
  "model": "schnell",
  "prompt": "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 8
}

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

const output = await replicate.run(
  "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
  {
    input: {
      model: "schnell",
      prompt: "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 100,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 8
    }
  }
);

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

output = replicate.run(
    "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    input={
        "model": "schnell",
        "prompt": "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 8
    }
)
print(output)

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

Run miike-ai/flux-sprites 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": "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    "input": {
      "model": "schnell",
      "prompt": "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-01T15:44:24.189348Z",
  "created_at": "2024-10-01T15:42:49.874000Z",
  "data_removed": false,
  "error": null,
  "id": "x7ygt0cw29rj40cj92zvbp07xc",
  "input": {
    "model": "schnell",
    "prompt": "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 38840\nPrompt: A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern, with each character having a unique pose and design.\n[!] txt2img mode\nUsing schnell model\nfree=5989910462464\nDownloading weights\n2024-10-01T15:44:14Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp5ns9h_nq/weights url=https://replicate.delivery/yhqm/BrBhiiwPD0ZSM1m5lv38DSuTd9xXKLJQFFpUR5vM7Q0Erj4E/trained_model.tar\n2024-10-01T15:44:16Z | INFO  | [ Complete ] dest=/tmp/tmp5ns9h_nq/weights size=\"1.4 GB\" total_elapsed=1.909s url=https://replicate.delivery/yhqm/BrBhiiwPD0ZSM1m5lv38DSuTd9xXKLJQFFpUR5vM7Q0Erj4E/trained_model.tar\nDownloaded weights in 1.98s\nLoaded LoRAs in 2.98s\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:05,  1.17it/s]\n 25%|██▌       | 2/8 [00:01<00:03,  1.54it/s]\n 38%|███▊      | 3/8 [00:01<00:03,  1.56it/s]\n 50%|█████     | 4/8 [00:02<00:02,  1.57it/s]\n 62%|██████▎   | 5/8 [00:03<00:01,  1.58it/s]\n 75%|███████▌  | 6/8 [00:03<00:01,  1.58it/s]\n 88%|████████▊ | 7/8 [00:04<00:00,  1.59it/s]\n100%|██████████| 8/8 [00:05<00:00,  1.59it/s]\n100%|██████████| 8/8 [00:05<00:00,  1.56it/s]",
  "metrics": {
    "predict_time": 9.377677103,
    "total_time": 94.315348
  },
  "output": [
    "https://replicate.delivery/yhqm/SJfxkbKwLUwkXCYrdccHcj5b4nfA3NobFZiiBoMsYMAXrciTA/out-0.webp"
  ],
  "started_at": "2024-10-01T15:44:14.811671Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/x7ygt0cw29rj40cj92zvbp07xc",
    "cancel": "https://api.replicate.com/v1/predictions/x7ygt0cw29rj40cj92zvbp07xc/cancel"
  },
  "version": "bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9"
}

Generated in

9.4 seconds

miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9

Prediction

Model

ID

pnsq7e9tz9rj40cj9339090r84

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

15.1s

Created

8 months ago

Input

model: schnell
prompt: A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each character having a unique pose and design.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 100
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 8

{
  "model": "schnell",
  "prompt": "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each character having a unique pose and design.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 8
}

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

const output = await replicate.run(
  "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
  {
    input: {
      model: "schnell",
      prompt: "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each character having a unique pose and design.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 100,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 8
    }
  }
);

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

output = replicate.run(
    "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    input={
        "model": "schnell",
        "prompt": "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each character having a unique pose and design.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 8
    }
)
print(output)

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

Run miike-ai/flux-sprites 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": "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    "input": {
      "model": "schnell",
      "prompt": "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each character having a unique pose and design.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-01T15:50:18.843714Z",
  "created_at": "2024-10-01T15:50:03.770000Z",
  "data_removed": false,
  "error": null,
  "id": "pnsq7e9tz9rj40cj9339090r84",
  "input": {
    "model": "schnell",
    "prompt": "A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each character having a unique pose and design.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 19499\nPrompt: A sprite sheet of SPRITES showcasing an animated character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each character having a unique pose and design.\n[!] txt2img mode\nUsing schnell model\nfree=2926553374720\nDownloading weights\n2024-10-01T15:50:10Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpa7yowl77/weights url=https://replicate.delivery/yhqm/BrBhiiwPD0ZSM1m5lv38DSuTd9xXKLJQFFpUR5vM7Q0Erj4E/trained_model.tar\n2024-10-01T15:50:12Z | INFO  | [ Complete ] dest=/tmp/tmpa7yowl77/weights size=\"1.4 GB\" total_elapsed=1.867s url=https://replicate.delivery/yhqm/BrBhiiwPD0ZSM1m5lv38DSuTd9xXKLJQFFpUR5vM7Q0Erj4E/trained_model.tar\nDownloaded weights in 1.95s\nLoaded LoRAs in 2.84s\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:04,  1.59it/s]\n 25%|██▌       | 2/8 [00:01<00:03,  1.79it/s]\n 38%|███▊      | 3/8 [00:01<00:02,  1.69it/s]\n 50%|█████     | 4/8 [00:02<00:02,  1.65it/s]\n 62%|██████▎   | 5/8 [00:03<00:01,  1.62it/s]\n 75%|███████▌  | 6/8 [00:03<00:01,  1.61it/s]\n 88%|████████▊ | 7/8 [00:04<00:00,  1.60it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.60it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.63it/s]",
  "metrics": {
    "predict_time": 8.464419778,
    "total_time": 15.073714
  },
  "output": [
    "https://replicate.delivery/yhqm/Eh4ZKHAJTha0CRB0u8rmAROQ9JXgZ7MGTeTs8P22xbIdYOxJA/out-0.webp"
  ],
  "started_at": "2024-10-01T15:50:10.379294Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/pnsq7e9tz9rj40cj9339090r84",
    "cancel": "https://api.replicate.com/v1/predictions/pnsq7e9tz9rj40cj9339090r84/cancel"
  },
  "version": "bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9"
}

Generated in

8.5 seconds

miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9

Prediction

Model

ID

9e8wqefx0xrj00cj95bbjwvd24

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

8.5s

Created

8 months ago

Input

model: schnell
prompt: A sprite sheet of SPRITES showcasing an animated Paladin character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each Link having a unique poses and weapons.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 100
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 8

{
  "model": "schnell",
  "prompt": "A sprite sheet of SPRITES showcasing an animated Paladin character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each Link having a unique poses and weapons.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 8
}

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

const output = await replicate.run(
  "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
  {
    input: {
      model: "schnell",
      prompt: "A sprite sheet of SPRITES showcasing an animated Paladin character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each Link having a unique poses and weapons.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 100,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 8
    }
  }
);

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

output = replicate.run(
    "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    input={
        "model": "schnell",
        "prompt": "A sprite sheet of SPRITES showcasing an animated Paladin character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each Link having a unique poses and weapons.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 8
    }
)
print(output)

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

Run miike-ai/flux-sprites 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": "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    "input": {
      "model": "schnell",
      "prompt": "A sprite sheet of SPRITES showcasing an animated Paladin character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each Link having a unique poses and weapons.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-01T18:28:19.161480Z",
  "created_at": "2024-10-01T18:28:10.631000Z",
  "data_removed": false,
  "error": null,
  "id": "9e8wqefx0xrj00cj95bbjwvd24",
  "input": {
    "model": "schnell",
    "prompt": "A sprite sheet of SPRITES showcasing an animated Paladin character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each Link having a unique poses and weapons.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 56556\nPrompt: A sprite sheet of SPRITES showcasing an animated Paladin character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each Link having a unique poses and weapons.\n[!] txt2img mode\nUsing schnell model\nfree=2980394508288\nDownloading weights\n2024-10-01T18:28:10Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpea5snvdf/weights url=https://replicate.delivery/yhqm/BrBhiiwPD0ZSM1m5lv38DSuTd9xXKLJQFFpUR5vM7Q0Erj4E/trained_model.tar\n2024-10-01T18:28:12Z | INFO  | [ Complete ] dest=/tmp/tmpea5snvdf/weights size=\"1.4 GB\" total_elapsed=1.744s url=https://replicate.delivery/yhqm/BrBhiiwPD0ZSM1m5lv38DSuTd9xXKLJQFFpUR5vM7Q0Erj4E/trained_model.tar\nDownloaded weights in 1.82s\nLoaded LoRAs in 2.94s\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:04,  1.59it/s]\n 25%|██▌       | 2/8 [00:01<00:03,  1.80it/s]\n 38%|███▊      | 3/8 [00:01<00:02,  1.70it/s]\n 50%|█████     | 4/8 [00:02<00:02,  1.65it/s]\n 62%|██████▎   | 5/8 [00:03<00:01,  1.63it/s]\n 75%|███████▌  | 6/8 [00:03<00:01,  1.62it/s]\n 88%|████████▊ | 7/8 [00:04<00:00,  1.61it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.60it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.63it/s]",
  "metrics": {
    "predict_time": 8.520285038,
    "total_time": 8.53048
  },
  "output": [
    "https://replicate.delivery/yhqm/VPaxqOrgmWLYI1rNwGo5jrA2ynFk5GWj3Jfrdq8ShvPhiPxJA/out-0.webp"
  ],
  "started_at": "2024-10-01T18:28:10.641195Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/9e8wqefx0xrj00cj95bbjwvd24",
    "cancel": "https://api.replicate.com/v1/predictions/9e8wqefx0xrj00cj95bbjwvd24/cancel"
  },
  "version": "bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9"
}

Generated in

8.5 seconds

miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9

Prediction

Model

ID

z3gme1kvehrj00cj963ajt6xzc

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

5.7s

Created

8 months ago

Input

model: schnell
prompt: A sprite sheet of SPRITES showcasing an animated The Joker character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each The Joker having a unique poses and different weapons.
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 100
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 8

{
  "model": "schnell",
  "prompt": "A sprite sheet of SPRITES showcasing an animated The Joker character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each The Joker having a unique poses and different weapons.",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 8
}

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

const output = await replicate.run(
  "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
  {
    input: {
      model: "schnell",
      prompt: "A sprite sheet of SPRITES showcasing an animated The Joker character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each The Joker having a unique poses and different weapons.",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 100,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 8
    }
  }
);

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

output = replicate.run(
    "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    input={
        "model": "schnell",
        "prompt": "A sprite sheet of SPRITES showcasing an animated The Joker character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each The Joker having a unique poses and different weapons.",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 8
    }
)
print(output)

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

Run miike-ai/flux-sprites 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": "miike-ai/flux-sprites:bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9",
    "input": {
      "model": "schnell",
      "prompt": "A sprite sheet of SPRITES showcasing an animated The Joker character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each The Joker having a unique poses and different weapons.",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-01T19:20:08.905555Z",
  "created_at": "2024-10-01T19:20:03.188000Z",
  "data_removed": false,
  "error": null,
  "id": "z3gme1kvehrj00cj963ajt6xzc",
  "input": {
    "model": "schnell",
    "prompt": "A sprite sheet of SPRITES showcasing an animated The Joker character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each The Joker having a unique poses and different weapons.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 44932\nPrompt: A sprite sheet of SPRITES showcasing an animated The Joker character in various action poses. The SPRITES are arranged in a grid pattern equal distance between each other, with each The Joker having a unique poses and different weapons.\n[!] txt2img mode\nUsing schnell model\nWeights already loaded\nLoaded LoRAs in 0.03s\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:04,  1.59it/s]\n 25%|██▌       | 2/8 [00:01<00:03,  1.79it/s]\n 38%|███▊      | 3/8 [00:01<00:02,  1.68it/s]\n 50%|█████     | 4/8 [00:02<00:02,  1.64it/s]\n 62%|██████▎   | 5/8 [00:03<00:01,  1.62it/s]\n 75%|███████▌  | 6/8 [00:03<00:01,  1.60it/s]\n 88%|████████▊ | 7/8 [00:04<00:00,  1.59it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.59it/s]\n100%|██████████| 8/8 [00:04<00:00,  1.62it/s]",
  "metrics": {
    "predict_time": 5.70772932,
    "total_time": 5.717555
  },
  "output": [
    "https://replicate.delivery/yhqm/M4zg5G754zYhP5u94gZyToh80LQe1fX7aQcMKG1kokLo1fEnA/out-0.webp"
  ],
  "started_at": "2024-10-01T19:20:03.197826Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/z3gme1kvehrj00cj963ajt6xzc",
    "cancel": "https://api.replicate.com/v1/predictions/z3gme1kvehrj00cj963ajt6xzc/cancel"
  },
  "version": "bfbaa4240a9948bcc5483cceb9abd73db68c63018a4a7ba5b8a01616d291dcc9"
}

Generated in

5.7 seconds