zeke / tarot-flux

This model is not great. Check out this other one that's better: https://replicate.com/apolinario/flux-tarot-v1

Warm

Public
346 runs
H100

Run with an API

Playground API Examples README Versions

Prediction

zeke/tarot-flux:f60b2fcf8f14d395fbc44b3e592f746cb48e364aa4dc8e2aac6050849590af2d

Model

zeke/tarot-flux:f60b2fcf

rtx73xvs99rm60chaytrb64exg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

42.8s

Created

8 months ago

Input

model: dev
prompt: a TTTAROTTT card depicting a barefoot wizard surrounded by frogs
lora_scale: 1
num_outputs: 4
aspect_ratio: 9:16
output_format: webp
guidance_scale: 3.5
output_quality: 80
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "a TTTAROTTT card depicting a barefoot wizard surrounded by frogs",
  "lora_scale": 1,
  "num_outputs": 4,
  "aspect_ratio": "9:16",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "zeke/tarot-flux:f60b2fcf8f14d395fbc44b3e592f746cb48e364aa4dc8e2aac6050849590af2d",
  {
    input: {
      model: "dev",
      prompt: "a TTTAROTTT card depicting a barefoot wizard surrounded by frogs",
      lora_scale: 1,
      num_outputs: 4,
      aspect_ratio: "9:16",
      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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "zeke/tarot-flux:f60b2fcf8f14d395fbc44b3e592f746cb48e364aa4dc8e2aac6050849590af2d",
    input={
        "model": "dev",
        "prompt": "a TTTAROTTT card depicting a barefoot wizard surrounded by frogs",
        "lora_scale": 1,
        "num_outputs": 4,
        "aspect_ratio": "9:16",
        "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 zeke/tarot-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "f60b2fcf8f14d395fbc44b3e592f746cb48e364aa4dc8e2aac6050849590af2d",
    "input": {
      "model": "dev",
      "prompt": "a TTTAROTTT card depicting a barefoot wizard surrounded by frogs",
      "lora_scale": 1,
      "num_outputs": 4,
      "aspect_ratio": "9:16",
      "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": "2024-08-15T20:23:59.310036Z",
  "created_at": "2024-08-15T20:23:16.554000Z",
  "data_removed": false,
  "error": null,
  "id": "rtx73xvs99rm60chaytrb64exg",
  "input": {
    "model": "dev",
    "prompt": "a TTTAROTTT card depicting a barefoot wizard surrounded by frogs",
    "lora_scale": 1,
    "num_outputs": 4,
    "aspect_ratio": "9:16",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 11218\nPrompt: a TTTAROTTT card depicting a barefoot wizard surrounded by frogs\ntxt2img mode\nUsing dev model\nLoading LoRA weights from https://replicate.delivery/yhqm/uAezZZhawB3WDiHCVpMAP8QKwrvKGjPU1pNRGXjY9cZahgpJA/trained_model.tar\nLoRA weights loaded successfully\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:26,  1.00it/s]\n  7%|▋         | 2/28 [00:01<00:22,  1.15it/s]\n 11%|█         | 3/28 [00:02<00:23,  1.07it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.05it/s]\n 18%|█▊        | 5/28 [00:04<00:22,  1.03it/s]\n 21%|██▏       | 6/28 [00:05<00:21,  1.02it/s]\n 25%|██▌       | 7/28 [00:06<00:20,  1.01it/s]\n 29%|██▊       | 8/28 [00:07<00:19,  1.01it/s]\n 32%|███▏      | 9/28 [00:08<00:18,  1.00it/s]\n 36%|███▌      | 10/28 [00:09<00:17,  1.00it/s]\n 39%|███▉      | 11/28 [00:10<00:16,  1.00it/s]\n 43%|████▎     | 12/28 [00:11<00:16,  1.00s/it]\n 46%|████▋     | 13/28 [00:12<00:15,  1.00s/it]\n 50%|█████     | 14/28 [00:13<00:14,  1.00s/it]\n 54%|█████▎    | 15/28 [00:14<00:13,  1.00s/it]\n 57%|█████▋    | 16/28 [00:15<00:12,  1.01s/it]\n 61%|██████    | 17/28 [00:16<00:11,  1.01s/it]\n 64%|██████▍   | 18/28 [00:17<00:10,  1.01s/it]\n 68%|██████▊   | 19/28 [00:18<00:09,  1.01s/it]\n 71%|███████▏  | 20/28 [00:19<00:08,  1.01s/it]\n 75%|███████▌  | 21/28 [00:20<00:07,  1.01s/it]\n 79%|███████▊  | 22/28 [00:21<00:06,  1.01s/it]\n 82%|████████▏ | 23/28 [00:22<00:05,  1.01s/it]\n 86%|████████▌ | 24/28 [00:23<00:04,  1.01s/it]\n 89%|████████▉ | 25/28 [00:24<00:03,  1.01s/it]\n 93%|█████████▎| 26/28 [00:25<00:02,  1.01s/it]\n 96%|█████████▋| 27/28 [00:26<00:01,  1.00s/it]\n100%|██████████| 28/28 [00:27<00:00,  1.00s/it]\n100%|██████████| 28/28 [00:27<00:00,  1.00it/s]",
  "metrics": {
    "predict_time": 39.626108523,
    "total_time": 42.756036
  },
  "output": [
    "https://replicate.delivery/yhqm/r0U8s6pfwd2SDiuoJO0CnWgVeeAkqe53GBn4tV6EWe237KYaC/out-0.webp",
    "https://replicate.delivery/yhqm/RcVnob3DExrHPJzWjxogW8FHbOuUXeEbsa8IPDKAkusvrgpJA/out-1.webp",
    "https://replicate.delivery/yhqm/A1IeZ6z5q2QxYKEeTqhHdFsM8lnwTsi7FhvxEWiffWUf7KYaC/out-2.webp",
    "https://replicate.delivery/yhqm/iMbApxSGv9oUIxYm6HY7jjoN0L1o70lI8b1Pexgr74lvrgpJA/out-3.webp"
  ],
  "started_at": "2024-08-15T20:23:19.683927Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rtx73xvs99rm60chaytrb64exg",
    "cancel": "https://api.replicate.com/v1/predictions/rtx73xvs99rm60chaytrb64exg/cancel"
  },
  "version": "f60b2fcf8f14d395fbc44b3e592f746cb48e364aa4dc8e2aac6050849590af2d"
}

Generated in

39.6 seconds

ShareReport

Using seed: 11218
Prompt: a TTTAROTTT card depicting a barefoot wizard surrounded by frogs
txt2img mode
Using dev model
Loading LoRA weights from https://replicate.delivery/yhqm/uAezZZhawB3WDiHCVpMAP8QKwrvKGjPU1pNRGXjY9cZahgpJA/trained_model.tar
LoRA weights loaded successfully
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