cfbach/greeting-card-generator-flux:211401c8 | Run with an API on Replicate

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cfbach /greeting-card-generator-flux:211401c8

Input

prompt

*string

Shift + Return to add a new line

The image is a photograph of a celebratory greeting card displayed on a shelf in a store. The card features a the text "Congrats on the layoffs" and dollar bills.The image is a photograph of a celebratory greeting card displayed on a shelf in a store. The card features a the text "Congrats on the layoffs" and dollar bills.

Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.

aspect_ratio

string

Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode

Default: "1:1"

height

integer

(minimum: 256, maximum: 1440)

Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

width

integer

(minimum: 256, maximum: 1440)

Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

model

string

Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.

Default: "dev"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of outputs to generate

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. More steps can give more detailed images, but take longer.

Default: 28

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5

Default: 3

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80

go_fast

boolean

Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16

Default: false

megapixels

string

Approximate number of megapixels for generated image

Default: "1"

lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

extra_lora

string

Shift + Return to add a new line

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

extra_lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

Including image and 3 more...

Run this model in Node.js with one line of code:

npx create-replicate --model=cfbach/greeting-card-generator-flux

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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 cfbach/greeting-card-generator-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cfbach/greeting-card-generator-flux:211401c8c2662ecd38f3346a9bc686ed2f206532e9274ef04a50336907d09e90",
  {
    input: {
      model: "dev",
      width: 832,
      height: 1216,
      prompt: "The image is a photograph of a celebratory greeting card displayed on a shelf in a store. The card features a the text \"Congrats on the layoffs\" and dollar bills.",
      go_fast: true,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "custom",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 35
    }
  }
);

// 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run cfbach/greeting-card-generator-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cfbach/greeting-card-generator-flux:211401c8c2662ecd38f3346a9bc686ed2f206532e9274ef04a50336907d09e90",
    input={
        "model": "dev",
        "width": 832,
        "height": 1216,
        "prompt": "The image is a photograph of a celebratory greeting card displayed on a shelf in a store. The card features a the text \"Congrats on the layoffs\" and dollar bills.",
        "go_fast": True,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "custom",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 35
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run cfbach/greeting-card-generator-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": "cfbach/greeting-card-generator-flux:211401c8c2662ecd38f3346a9bc686ed2f206532e9274ef04a50336907d09e90",
    "input": {
      "model": "dev",
      "width": 832,
      "height": 1216,
      "prompt": "The image is a photograph of a celebratory greeting card displayed on a shelf in a store. The card features a the text \\"Congrats on the layoffs\\" and dollar bills.",
      "go_fast": true,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "custom",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 35
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-18T13:46:59.406520Z",
  "created_at": "2025-02-18T13:46:49.932000Z",
  "data_removed": false,
  "error": null,
  "id": "y280fwxrshrmc0cn357rxvty04",
  "input": {
    "model": "dev",
    "width": 832,
    "height": 1216,
    "prompt": "The image is a photograph of a celebratory greeting card displayed on a shelf in a store. The card features a the text \"Congrats on the layoffs\" and dollar bills.",
    "go_fast": true,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "custom",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 35
  },
  "logs": "Custom aspect ratios not supported with fast fp8 inference; will run in bf16\nLoaded LoRAs in 0.50s\nUsing seed: 54321\nPrompt: The image is a photograph of a celebratory greeting card displayed on a shelf in a store. The card features a the text \"Congrats on the layoffs\" and dollar bills.\n[!] txt2img mode\n  0%|          | 0/35 [00:00<?, ?it/s]\n  3%|▎         | 1/35 [00:00<00:08,  4.04it/s]\n  6%|▌         | 2/35 [00:00<00:07,  4.57it/s]\n  9%|▊         | 3/35 [00:00<00:07,  4.31it/s]\n 11%|█▏        | 4/35 [00:00<00:07,  4.20it/s]\n 14%|█▍        | 5/35 [00:01<00:07,  4.14it/s]\n 17%|█▋        | 6/35 [00:01<00:07,  4.10it/s]\n 20%|██        | 7/35 [00:01<00:06,  4.09it/s]\n 23%|██▎       | 8/35 [00:01<00:06,  4.07it/s]\n 26%|██▌       | 9/35 [00:02<00:06,  4.06it/s]\n 29%|██▊       | 10/35 [00:02<00:06,  4.06it/s]\n 31%|███▏      | 11/35 [00:02<00:05,  4.05it/s]\n 34%|███▍      | 12/35 [00:02<00:05,  4.04it/s]\n 37%|███▋      | 13/35 [00:03<00:05,  4.04it/s]\n 40%|████      | 14/35 [00:03<00:05,  4.04it/s]\n 43%|████▎     | 15/35 [00:03<00:04,  4.04it/s]\n 46%|████▌     | 16/35 [00:03<00:04,  4.04it/s]\n 49%|████▊     | 17/35 [00:04<00:04,  4.04it/s]\n 51%|█████▏    | 18/35 [00:04<00:04,  4.04it/s]\n 54%|█████▍    | 19/35 [00:04<00:03,  4.04it/s]\n 57%|█████▋    | 20/35 [00:04<00:03,  4.04it/s]\n 60%|██████    | 21/35 [00:05<00:03,  4.04it/s]\n 63%|██████▎   | 22/35 [00:05<00:03,  4.04it/s]\n 66%|██████▌   | 23/35 [00:05<00:02,  4.04it/s]\n 69%|██████▊   | 24/35 [00:05<00:02,  4.04it/s]\n 71%|███████▏  | 25/35 [00:06<00:02,  4.04it/s]\n 74%|███████▍  | 26/35 [00:06<00:02,  4.04it/s]\n 77%|███████▋  | 27/35 [00:06<00:01,  4.04it/s]\n 80%|████████  | 28/35 [00:06<00:01,  4.04it/s]\n 83%|████████▎ | 29/35 [00:07<00:01,  4.04it/s]\n 86%|████████▌ | 30/35 [00:07<00:01,  4.04it/s]\n 89%|████████▊ | 31/35 [00:07<00:00,  4.04it/s]\n 91%|█████████▏| 32/35 [00:07<00:00,  4.04it/s]\n 94%|█████████▍| 33/35 [00:08<00:00,  4.04it/s]\n 97%|█████████▋| 34/35 [00:08<00:00,  4.04it/s]\n100%|██████████| 35/35 [00:08<00:00,  4.04it/s]\n100%|██████████| 35/35 [00:08<00:00,  4.06it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 9.320651231,
    "total_time": 9.47452
  },
  "output": [
    "https://replicate.delivery/xezq/4LJxm8qfKtTxOy9cDtTtsoE2yPi4EJzH7DuOqFGEXQ4pCSIKA/out-0.jpg"
  ],
  "started_at": "2025-02-18T13:46:50.085868Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-w3ifb3honk6f3gien4wfmwbet4lys7lqrlmnzw3hxqrdfegkvpqa",
    "get": "https://api.replicate.com/v1/predictions/y280fwxrshrmc0cn357rxvty04",
    "cancel": "https://api.replicate.com/v1/predictions/y280fwxrshrmc0cn357rxvty04/cancel"
  },
  "version": "211401c8c2662ecd38f3346a9bc686ed2f206532e9274ef04a50336907d09e90"
}

Generated in

9.3 seconds

Tweak it ShareReport

Custom aspect ratios not supported with fast fp8 inference; will run in bf16
Loaded LoRAs in 0.50s
Using seed: 54321
Prompt: The image is a photograph of a celebratory greeting card displayed on a shelf in a store. The card features a the text "Congrats on the layoffs" and dollar bills.
[!] txt2img mode
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Total safe images: 1 out of 1