Prediction

kyx384measrm60chewdtrkzxsw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

53.0s

Created

8 months ago

Input

model: dev
prompt: SHPS, A tiger in the style of SHPS
lora_scale: 1.2
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 80
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "SHPS, A tiger in the style of SHPS",
  "lora_scale": 1.2,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "num_inference_steps": 28
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
  {
    input: {
      model: "dev",
      prompt: "SHPS, A tiger in the style of SHPS",
      lora_scale: 1.2,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      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 andreasjansson/flux-shapes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    input={
        "model": "dev",
        "prompt": "SHPS, A tiger in the style of SHPS",
        "lora_scale": 1.2,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run andreasjansson/flux-shapes 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": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    "input": {
      "model": "dev",
      "prompt": "SHPS, A tiger in the style of SHPS",
      "lora_scale": 1.2,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-21T22:43:53.312645Z",
  "created_at": "2024-08-21T22:43:00.310000Z",
  "data_removed": false,
  "error": null,
  "id": "kyx384measrm60chewdtrkzxsw",
  "input": {
    "model": "dev",
    "prompt": "SHPS, A tiger in the style of SHPS",
    "lora_scale": 1.2,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 5352\nPrompt: SHPS, A tiger in the style of SHPS\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9683330162688\nDownloading weights\n2024-08-21T22:43:31Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/dbb7731803f552fa url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar\n2024-08-21T22:43:34Z | INFO  | [ Complete ] dest=/src/weights-cache/dbb7731803f552fa size=\"172 MB\" total_elapsed=2.022s url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar\nb''\nDownloaded weights in 2.0476222038269043 seconds\nLoRA weights loaded successfully\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.51it/s]\n  7%|▋         | 2/28 [00:00<00:06,  3.94it/s]\n 11%|█         | 3/28 [00:00<00:06,  3.75it/s]\n 14%|█▍        | 4/28 [00:01<00:06,  3.66it/s]\n 18%|█▊        | 5/28 [00:01<00:06,  3.61it/s]\n 21%|██▏       | 6/28 [00:01<00:06,  3.58it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.57it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.55it/s]\n 32%|███▏      | 9/28 [00:02<00:05,  3.54it/s]\n 36%|███▌      | 10/28 [00:02<00:05,  3.54it/s]\n 39%|███▉      | 11/28 [00:03<00:04,  3.54it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.54it/s]\n 46%|████▋     | 13/28 [00:03<00:04,  3.54it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.53it/s]\n 54%|█████▎    | 15/28 [00:04<00:03,  3.53it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.53it/s]\n 61%|██████    | 17/28 [00:04<00:03,  3.53it/s]\n 64%|██████▍   | 18/28 [00:05<00:02,  3.53it/s]\n 68%|██████▊   | 19/28 [00:05<00:02,  3.53it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.53it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.51it/s]\n 79%|███████▊  | 22/28 [00:06<00:01,  3.52it/s]\n 82%|████████▏ | 23/28 [00:06<00:01,  3.52it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.53it/s]\n 89%|████████▉ | 25/28 [00:07<00:00,  3.53it/s]\n 93%|█████████▎| 26/28 [00:07<00:00,  3.52it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.53it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.53it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.55it/s]",
  "metrics": {
    "predict_time": 21.413155535,
    "total_time": 53.002645
  },
  "output": [
    "https://replicate.delivery/yhqm/Wv1iNxToH94uMBy2eH8MxTmGXy7ICiho7slkySj6zQkUfBVTA/out-0.webp"
  ],
  "started_at": "2024-08-21T22:43:31.899489Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/kyx384measrm60chewdtrkzxsw",
    "cancel": "https://api.replicate.com/v1/predictions/kyx384measrm60chewdtrkzxsw/cancel"
  },
  "version": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8"
}

Generated in

21.4 seconds

andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8

Using seed: 5352
Prompt: SHPS, A tiger in the style of SHPS
txt2img mode
Using dev model
Loading LoRA weights
Ensuring enough disk space...
Free disk space: 9683330162688
Downloading weights
2024-08-21T22:43:31Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/dbb7731803f552fa url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar
2024-08-21T22:43:34Z | INFO  | [ Complete ] dest=/src/weights-cache/dbb7731803f552fa size="172 MB" total_elapsed=2.022s url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar
b''
Downloaded weights in 2.0476222038269043 seconds
LoRA weights loaded successfully
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Prediction

Model

v3tjc8ajhsrm60chewgtn8xt54

Status

Succeeded

Source

Web

Hardware

H100

Total duration

47.3s

Created

8 months ago

Input

seed: 44494
model: dev
prompt: SHPS, A futuristic city with neon lights and flying cars in the style of SHPS
lora_scale: 0.9
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 80
num_inference_steps: 28

{
  "seed": 44494,
  "model": "dev",
  "prompt": "SHPS, A futuristic city with neon lights and flying cars in the style of SHPS",
  "lora_scale": 0.9,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "num_inference_steps": 28
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
  {
    input: {
      seed: 44494,
      model: "dev",
      prompt: "SHPS, A futuristic city with neon lights and flying cars in the style of SHPS",
      lora_scale: 0.9,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      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 andreasjansson/flux-shapes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    input={
        "seed": 44494,
        "model": "dev",
        "prompt": "SHPS, A futuristic city with neon lights and flying cars in the style of SHPS",
        "lora_scale": 0.9,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run andreasjansson/flux-shapes 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": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    "input": {
      "seed": 44494,
      "model": "dev",
      "prompt": "SHPS, A futuristic city with neon lights and flying cars in the style of SHPS",
      "lora_scale": 0.9,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-21T22:50:05.524033Z",
  "created_at": "2024-08-21T22:49:18.222000Z",
  "data_removed": false,
  "error": null,
  "id": "v3tjc8ajhsrm60chewgtn8xt54",
  "input": {
    "seed": 44494,
    "model": "dev",
    "prompt": "SHPS, A futuristic city with neon lights and flying cars in the style of SHPS",
    "lora_scale": 0.9,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 44494\nPrompt: SHPS, A futuristic city with neon lights and flying cars in the style of SHPS\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.49it/s]\n  7%|▋         | 2/28 [00:00<00:06,  3.92it/s]\n 11%|█         | 3/28 [00:00<00:06,  3.72it/s]\n 14%|█▍        | 4/28 [00:01<00:06,  3.65it/s]\n 18%|█▊        | 5/28 [00:01<00:06,  3.60it/s]\n 21%|██▏       | 6/28 [00:01<00:06,  3.57it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.56it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.55it/s]\n 32%|███▏      | 9/28 [00:02<00:05,  3.55it/s]\n 36%|███▌      | 10/28 [00:02<00:05,  3.54it/s]\n 39%|███▉      | 11/28 [00:03<00:04,  3.54it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.54it/s]\n 46%|████▋     | 13/28 [00:03<00:04,  3.54it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.54it/s]\n 54%|█████▎    | 15/28 [00:04<00:03,  3.52it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.52it/s]\n 61%|██████    | 17/28 [00:04<00:03,  3.53it/s]\n 64%|██████▍   | 18/28 [00:05<00:02,  3.53it/s]\n 68%|██████▊   | 19/28 [00:05<00:02,  3.52it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.53it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.54it/s]\n 79%|███████▊  | 22/28 [00:06<00:01,  3.53it/s]\n 82%|████████▏ | 23/28 [00:06<00:01,  3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.54it/s]\n 89%|████████▉ | 25/28 [00:07<00:00,  3.54it/s]\n 93%|█████████▎| 26/28 [00:07<00:00,  3.53it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.52it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.53it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.55it/s]",
  "metrics": {
    "predict_time": 17.335356978,
    "total_time": 47.302033
  },
  "output": [
    "https://replicate.delivery/yhqm/BvJ7HbU4yw4mO9ruFoSPDukbPN4V5UeTS3eic8kyimQdECVTA/out-0.webp"
  ],
  "started_at": "2024-08-21T22:49:48.188676Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/v3tjc8ajhsrm60chewgtn8xt54",
    "cancel": "https://api.replicate.com/v1/predictions/v3tjc8ajhsrm60chewgtn8xt54/cancel"
  },
  "version": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8"
}

Generated in

17.3 seconds

andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8

Prediction

Model

tsa1td3j0srm40chewkb3aex5r

Status

Succeeded

Source

Web

Hardware

H100

Total duration

26.7s

Created

8 months ago

Input

model: dev
prompt: SHPS, A futuristic formula one car in the style of SHPS
lora_scale: 1.4
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 80
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "SHPS, A futuristic formula one car in the style of SHPS",
  "lora_scale": 1.4,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "num_inference_steps": 28
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
  {
    input: {
      model: "dev",
      prompt: "SHPS, A futuristic formula one car in the style of SHPS",
      lora_scale: 1.4,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      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 andreasjansson/flux-shapes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    input={
        "model": "dev",
        "prompt": "SHPS, A futuristic formula one car in the style of SHPS",
        "lora_scale": 1.4,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run andreasjansson/flux-shapes 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": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    "input": {
      "model": "dev",
      "prompt": "SHPS, A futuristic formula one car in the style of SHPS",
      "lora_scale": 1.4,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-21T22:55:20.659995Z",
  "created_at": "2024-08-21T22:54:53.958000Z",
  "data_removed": false,
  "error": null,
  "id": "tsa1td3j0srm40chewkb3aex5r",
  "input": {
    "model": "dev",
    "prompt": "SHPS, A futuristic formula one car in the style of SHPS",
    "lora_scale": 1.4,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 53313\nPrompt: SHPS, A futuristic formula one car in the style of SHPS\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.51it/s]\n  7%|▋         | 2/28 [00:00<00:06,  3.94it/s]\n 11%|█         | 3/28 [00:00<00:06,  3.74it/s]\n 14%|█▍        | 4/28 [00:01<00:06,  3.65it/s]\n 18%|█▊        | 5/28 [00:01<00:06,  3.61it/s]\n 21%|██▏       | 6/28 [00:01<00:06,  3.58it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.57it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.55it/s]\n 32%|███▏      | 9/28 [00:02<00:05,  3.54it/s]\n 36%|███▌      | 10/28 [00:02<00:05,  3.54it/s]\n 39%|███▉      | 11/28 [00:03<00:04,  3.54it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.54it/s]\n 46%|████▋     | 13/28 [00:03<00:04,  3.53it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.53it/s]\n 54%|█████▎    | 15/28 [00:04<00:03,  3.53it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.53it/s]\n 61%|██████    | 17/28 [00:04<00:03,  3.53it/s]\n 64%|██████▍   | 18/28 [00:05<00:02,  3.53it/s]\n 68%|██████▊   | 19/28 [00:05<00:02,  3.53it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.53it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.53it/s]\n 79%|███████▊  | 22/28 [00:06<00:01,  3.53it/s]\n 82%|████████▏ | 23/28 [00:06<00:01,  3.53it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.53it/s]\n 89%|████████▉ | 25/28 [00:07<00:00,  3.53it/s]\n 93%|█████████▎| 26/28 [00:07<00:00,  3.52it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.52it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.52it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.55it/s]",
  "metrics": {
    "predict_time": 17.681648753,
    "total_time": 26.701995
  },
  "output": [
    "https://replicate.delivery/yhqm/slOweB9b1uUvGiXYGVSp03BAfg3pjldXecvjpsneoXkglIUNB/out-0.webp"
  ],
  "started_at": "2024-08-21T22:55:02.978346Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/tsa1td3j0srm40chewkb3aex5r",
    "cancel": "https://api.replicate.com/v1/predictions/tsa1td3j0srm40chewkb3aex5r/cancel"
  },
  "version": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8"
}

Generated in

17.7 seconds

andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8

Prediction

Model

ybe2aq98rnrm00chewm9d1mb78

Status

Succeeded

Source

Web

Hardware

H100

Total duration

8.4s

Created

8 months ago

Input

model: dev
prompt: SHPS, A butterfly in the style of SHPS
lora_scale: 1.1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 80
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "SHPS, A butterfly in the style of SHPS",
  "lora_scale": 1.1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "num_inference_steps": 28
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
  {
    input: {
      model: "dev",
      prompt: "SHPS, A butterfly in the style of SHPS",
      lora_scale: 1.1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      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 andreasjansson/flux-shapes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    input={
        "model": "dev",
        "prompt": "SHPS, A butterfly in the style of SHPS",
        "lora_scale": 1.1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run andreasjansson/flux-shapes 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": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    "input": {
      "model": "dev",
      "prompt": "SHPS, A butterfly in the style of SHPS",
      "lora_scale": 1.1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-21T22:56:54.719921Z",
  "created_at": "2024-08-21T22:56:46.277000Z",
  "data_removed": false,
  "error": null,
  "id": "ybe2aq98rnrm00chewm9d1mb78",
  "input": {
    "model": "dev",
    "prompt": "SHPS, A butterfly in the style of SHPS",
    "lora_scale": 1.1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 25944\nPrompt: SHPS, A butterfly in the style of SHPS\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.52it/s]\n  7%|▋         | 2/28 [00:00<00:06,  3.90it/s]\n 11%|█         | 3/28 [00:00<00:06,  3.72it/s]\n 14%|█▍        | 4/28 [00:01<00:06,  3.65it/s]\n 18%|█▊        | 5/28 [00:01<00:06,  3.61it/s]\n 21%|██▏       | 6/28 [00:01<00:06,  3.58it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.56it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.56it/s]\n 32%|███▏      | 9/28 [00:02<00:05,  3.55it/s]\n 36%|███▌      | 10/28 [00:02<00:05,  3.53it/s]\n 39%|███▉      | 11/28 [00:03<00:04,  3.53it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.54it/s]\n 46%|████▋     | 13/28 [00:03<00:04,  3.54it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.53it/s]\n 54%|█████▎    | 15/28 [00:04<00:03,  3.53it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.53it/s]\n 61%|██████    | 17/28 [00:04<00:03,  3.53it/s]\n 64%|██████▍   | 18/28 [00:05<00:02,  3.53it/s]\n 68%|██████▊   | 19/28 [00:05<00:02,  3.53it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.53it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.53it/s]\n 79%|███████▊  | 22/28 [00:06<00:01,  3.53it/s]\n 82%|████████▏ | 23/28 [00:06<00:01,  3.53it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.52it/s]\n 89%|████████▉ | 25/28 [00:07<00:00,  3.52it/s]\n 93%|█████████▎| 26/28 [00:07<00:00,  3.52it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.52it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.53it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.55it/s]",
  "metrics": {
    "predict_time": 8.432821614,
    "total_time": 8.442921
  },
  "output": [
    "https://replicate.delivery/yhqm/aaGhqQtT48YJApL2YamWk7ETRCqnJFRCVSfc5BcwIhNbFhqJA/out-0.webp"
  ],
  "started_at": "2024-08-21T22:56:46.287099Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ybe2aq98rnrm00chewm9d1mb78",
    "cancel": "https://api.replicate.com/v1/predictions/ybe2aq98rnrm00chewm9d1mb78/cancel"
  },
  "version": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8"
}

Generated in

8.4 seconds

andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8

Prediction

Model

vtbt3zqa5nrm60chewmr009anr

Status

Succeeded

Source

Web

Hardware

H100

Total duration

24.9s

Created

8 months ago

Input

seed: 25901
model: dev
prompt: SHPS, A hawaiian beach in the style of SHPS
lora_scale: 1.2
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 80
num_inference_steps: 28

{
  "seed": 25901,
  "model": "dev",
  "prompt": "SHPS, A hawaiian beach in the style of SHPS",
  "lora_scale": 1.2,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "num_inference_steps": 28
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
  {
    input: {
      seed: 25901,
      model: "dev",
      prompt: "SHPS, A hawaiian beach in the style of SHPS",
      lora_scale: 1.2,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      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 andreasjansson/flux-shapes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    input={
        "seed": 25901,
        "model": "dev",
        "prompt": "SHPS, A hawaiian beach in the style of SHPS",
        "lora_scale": 1.2,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run andreasjansson/flux-shapes 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": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    "input": {
      "seed": 25901,
      "model": "dev",
      "prompt": "SHPS, A hawaiian beach in the style of SHPS",
      "lora_scale": 1.2,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-21T22:59:06.250204Z",
  "created_at": "2024-08-21T22:58:41.325000Z",
  "data_removed": false,
  "error": null,
  "id": "vtbt3zqa5nrm60chewmr009anr",
  "input": {
    "seed": 25901,
    "model": "dev",
    "prompt": "SHPS, A hawaiian beach in the style of SHPS",
    "lora_scale": 1.2,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 25901\nPrompt: SHPS, A hawaiian beach in the style of SHPS\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9617409208320\nDownloading weights\n2024-08-21T22:58:42Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/dbb7731803f552fa url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar\n2024-08-21T22:58:43Z | INFO  | [ Complete ] dest=/src/weights-cache/dbb7731803f552fa size=\"172 MB\" total_elapsed=1.305s url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar\nb''\nDownloaded weights in 1.3421640396118164 seconds\nLoRA weights loaded successfully\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.53it/s]\n  7%|▋         | 2/28 [00:00<00:06,  3.97it/s]\n 11%|█         | 3/28 [00:00<00:06,  3.76it/s]\n 14%|█▍        | 4/28 [00:01<00:06,  3.67it/s]\n 18%|█▊        | 5/28 [00:01<00:06,  3.62it/s]\n 21%|██▏       | 6/28 [00:01<00:06,  3.60it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.58it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.56it/s]\n 32%|███▏      | 9/28 [00:02<00:05,  3.55it/s]\n 36%|███▌      | 10/28 [00:02<00:05,  3.55it/s]\n 39%|███▉      | 11/28 [00:03<00:04,  3.55it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.55it/s]\n 46%|████▋     | 13/28 [00:03<00:04,  3.54it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.55it/s]\n 54%|█████▎    | 15/28 [00:04<00:03,  3.55it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.54it/s]\n 61%|██████    | 17/28 [00:04<00:03,  3.54it/s]\n 64%|██████▍   | 18/28 [00:05<00:02,  3.54it/s]\n 68%|██████▊   | 19/28 [00:05<00:02,  3.53it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.53it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.53it/s]\n 79%|███████▊  | 22/28 [00:06<00:01,  3.54it/s]\n 82%|████████▏ | 23/28 [00:06<00:01,  3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.54it/s]\n 89%|████████▉ | 25/28 [00:07<00:00,  3.54it/s]\n 93%|█████████▎| 26/28 [00:07<00:00,  3.51it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.55it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.55it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.56it/s]",
  "metrics": {
    "predict_time": 23.877035953,
    "total_time": 24.925204
  },
  "output": [
    "https://replicate.delivery/yhqm/1IeyBR72wqzVdSW8bdONSoeeReUZtC19ohPOvU9wck7rzIUNB/out-0.webp"
  ],
  "started_at": "2024-08-21T22:58:42.373168Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/vtbt3zqa5nrm60chewmr009anr",
    "cancel": "https://api.replicate.com/v1/predictions/vtbt3zqa5nrm60chewmr009anr/cancel"
  },
  "version": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8"
}

Generated in

23.9 seconds

andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8

Using seed: 25901
Prompt: SHPS, A hawaiian beach in the style of SHPS
txt2img mode
Using dev model
Loading LoRA weights
Ensuring enough disk space...
Free disk space: 9617409208320
Downloading weights
2024-08-21T22:58:42Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/dbb7731803f552fa url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar
2024-08-21T22:58:43Z | INFO  | [ Complete ] dest=/src/weights-cache/dbb7731803f552fa size="172 MB" total_elapsed=1.305s url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar
b''
Downloaded weights in 1.3421640396118164 seconds
LoRA weights loaded successfully
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Prediction

Model

00t6b3h5dnrm60chewvaz45fpm

Status

Succeeded

Source

Web

Hardware

H100

Total duration

11.9s

Created

8 months ago

Input

model: dev
prompt: SHPS, An illustration of a dancing woman in a night club with strobe lights in the style of SHPS
lora_scale: 1.2
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 80
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "SHPS, An illustration of a dancing woman in a night club with strobe lights in the style of SHPS",
  "lora_scale": 1.2,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "num_inference_steps": 28
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
  {
    input: {
      model: "dev",
      prompt: "SHPS, An illustration of a dancing woman in a night club with strobe lights in the style of SHPS",
      lora_scale: 1.2,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      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 andreasjansson/flux-shapes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/flux-shapes:9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    input={
        "model": "dev",
        "prompt": "SHPS, An illustration of a dancing woman in a night club with strobe lights in the style of SHPS",
        "lora_scale": 1.2,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run andreasjansson/flux-shapes 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": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8",
    "input": {
      "model": "dev",
      "prompt": "SHPS, An illustration of a dancing woman in a night club with strobe lights in the style of SHPS",
      "lora_scale": 1.2,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-21T23:12:14.826027Z",
  "created_at": "2024-08-21T23:12:02.925000Z",
  "data_removed": false,
  "error": null,
  "id": "00t6b3h5dnrm60chewvaz45fpm",
  "input": {
    "model": "dev",
    "prompt": "SHPS, An illustration of a dancing woman in a night club with strobe lights in the style of SHPS",
    "lora_scale": 1.2,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 26803\nPrompt: SHPS, An illustration of a dancing woman in a night club with strobe lights in the style of SHPS\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:07,  3.52it/s]\n  7%|▋         | 2/28 [00:00<00:06,  3.95it/s]\n 11%|█         | 3/28 [00:00<00:06,  3.75it/s]\n 14%|█▍        | 4/28 [00:01<00:06,  3.66it/s]\n 18%|█▊        | 5/28 [00:01<00:06,  3.61it/s]\n 21%|██▏       | 6/28 [00:01<00:06,  3.59it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.57it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.56it/s]\n 32%|███▏      | 9/28 [00:02<00:05,  3.55it/s]\n 36%|███▌      | 10/28 [00:02<00:05,  3.55it/s]\n 39%|███▉      | 11/28 [00:03<00:04,  3.55it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.54it/s]\n 46%|████▋     | 13/28 [00:03<00:04,  3.54it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.54it/s]\n 54%|█████▎    | 15/28 [00:04<00:03,  3.54it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.54it/s]\n 61%|██████    | 17/28 [00:04<00:03,  3.54it/s]\n 64%|██████▍   | 18/28 [00:05<00:02,  3.54it/s]\n 68%|██████▊   | 19/28 [00:05<00:02,  3.54it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.54it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.54it/s]\n 79%|███████▊  | 22/28 [00:06<00:01,  3.54it/s]\n 82%|████████▏ | 23/28 [00:06<00:01,  3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.53it/s]\n 89%|████████▉ | 25/28 [00:07<00:00,  3.53it/s]\n 93%|█████████▎| 26/28 [00:07<00:00,  3.53it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.54it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.53it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.56it/s]",
  "metrics": {
    "predict_time": 8.35962915,
    "total_time": 11.901027
  },
  "output": [
    "https://replicate.delivery/yhqm/aYliRqD7HFa8K59O21lAma2D2qV9FB43Kfvh5w7ghxWnMhqJA/out-0.webp"
  ],
  "started_at": "2024-08-21T23:12:06.466398Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/00t6b3h5dnrm60chewvaz45fpm",
    "cancel": "https://api.replicate.com/v1/predictions/00t6b3h5dnrm60chewvaz45fpm/cancel"
  },
  "version": "9cd0b64cf78db402e1be8026020fc839c95871f5f494c2eed739866c7e2df4f8"
}

Generated in

8.4 seconds