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Find Inspiration for Your Next Design

Get the latest and creative design inspiration and ideas from PromptDoDo.
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Find Inspiration for Your Next Design
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Introduction

PromptDoDo is a platform offering a wide range of AI-driven tools and styles for various design needs. It provides users with a vast collection of Style Cards, enabling them to generate unique works or designs in different styles quickly. The platform offers both free and paid Style Cards, catering to personal and commercial use.

Feature

Extensive Style Card Collection

  • Over 1000 free Style Cards available
  • Each Style Card features a unique style
  • Strict selection and verification process for quality assurance

Flexible Licensing Options

  • Free Style Cards for personal use
  • Paid Style Cards with personal and commercial licenses
  • Detailed license comparison available in FAQ section

Easy-to-Use Interface

  • Simple download process for Style Cards
  • Seamless integration with Midjourney for image generation
  • Utilizes /imagine command for creating designs

Diverse Design Possibilities

  • Experiment with various Style Cards and prompts
  • Create unique designs across multiple styles
  • Explore the Free Section for a wide range of options

Pricing Structure

  • Free Style Cards available for all users
  • Paid Style Cards for advanced features and commercial use

FAQ

What is a Style Card?

A Style Card is a digital copy of work by a talented artist, such as a painting, illustration, or photograph. It serves as a template for AI-generated designs.

How are Style Cards transforming design?

Style Cards feature distinctive color schemes and special textures. By combining Style Cards with AI, users can create unique works or designs in various styles within a short time frame, revolutionizing the design process.

Is it free to download Style Cards?

Yes, PromptDoDo offers both free and paid Style Cards. Users can download Style Cards for free in the Free Section of the platform.

How can I purchase a Style Card?

For paid Style Cards, both personal and commercial licenses are available. Users can find a comparison of the licenses in the FAQ section to choose the option that best suits their needs.

How do I use a Style Card?

After downloading a Style Card, users can submit it along with a prompt to Midjourney. By using the /imagine command, they can generate images based on the chosen Style Card and prompt combination.

Latest Traffic Insights

  • Monthly Visits

    1.54 K

  • Bounce Rate

    41.41%

  • Pages Per Visit

    2.24

  • Time on Site(s)

    15.98

  • Global Rank

    7885365

  • Country Rank

    United States 3513092

Recent Visits

Traffic Sources

  • Social Media:
    6.75%
  • Paid Referrals:
    0.86%
  • Email:
    0.17%
  • Referrals:
    11.27%
  • Search Engines:
    32.69%
  • Direct:
    47.57%
More Data

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You can now access ChatGPT, a powerful language model, for free with Google. Here's how:

Method 1: Google Colab

* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`

Method 2: Google Apps Script

* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`

Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
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Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.

Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.

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