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Ideogram Wrapper

Ideogram Wrapper

Written by @Flowese

Open Demo In Colab

Description

ideogram_wrapper is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API and is not officially endorsed by Ideogram.

Advantages Over Other Models

Unlike other generative models like DALL-E 2 or MidJourney, Ideogram has the unique advantage of generating images that faithfully respect the text prompts you provide. This makes it a superior choice when you need accurate correlation between the input text and the generated image.

Legal Disclaimer

This package is created for educational and research purposes. By using this package, you agree to do so at your own risk. This package is not affiliated, endorsed, or sponsored by Ideogram in any way.

Requirements

  • Python 3.x
  • pip

Installation

From PyPI

To install the package from PyPI, run the following command:

pip install ideogram_wrapper

From GitHub Repository

To install the package directly from the GitHub repository, run:

pip install git+https://github.com/flowese/IdeogramWrapper.git

Configuration

Obtaining the Session Token

  1. Sign up at Ideogram.
  2. Once registered, open your browser's inspector:
    • In Chrome: Ctrl+Shift+I or F12 on Windows, Cmd+Option+I on Mac.
  3. Go to the Application tab.
  4. On the left panel, locate and click on Cookies, then select the Ideogram website.
  5. Find the cookie named session_cookie.
  6. Click on session_cookie and copy the value in the Value field.

Ideogram Wrapper

Usage

To use ideogram_wrapper, import the IdeogramWrapper class and provide the necessary parameters.

fromideogram_wrapperimportIdeogramWrapperideogram=IdeogramWrapper(
session_cookie_token="your_token_here", # The value you copied from the session cookieprompt="a picture of a dog with a sign saying 'Hello World'",
aspect_ratio="landscape", # Can be "landscape", "portrait", or "square"output_dir="images",
enable_logging=True
)
ideogram.inference()

Parameters

  • session_cookie_token: (Required) The session token you obtained from the cookie.
  • prompt: (Required) The textual prompt for generating the image.
  • aspect_ratio: (Optional) The aspect ratio of the image. Can be "landscape", "portrait", or "square". Default is "square".
  • output_dir: (Optional) The directory where the generated images will be saved. Defaults to a folder named "images".
  • enable_logging: (Optional) Whether to enable logging. Default is False.

License

This project is licensed under the MIT License.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and send a pull request, or open an issue to discuss what you'd like to change. All contributions are welcome!

TODO

Pending Tasks and Features

  • Implement n_images for parameterizing the number of images to be generated (currently defaults to 4).
  • Implement auto-renewal of the session_cookie_token.
  • Generate different images from a list of prompts.
  • Implement an asynchronous version.
  • Study the possibility of implementing a user interface DEMO via Streamlit or Gradio (to be decided).

About

IdeogramWrapper Is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API (https://ideogram.ai/) and is not officially endorsed by Ideogram

Resources

Readme
MIT license
Activity

Stars

76 stars

Watchers

6 watching

Forks

8 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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Ideogram Wrapper

Ideogram Wrapper

Written by @Flowese

Open Demo In Colab

Description

ideogram_wrapper is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API and is not officially endorsed by Ideogram.

Advantages Over Other Models

Unlike other generative models like DALL-E 2 or MidJourney, Ideogram has the unique advantage of generating images that faithfully respect the text prompts you provide. This makes it a superior choice when you need accurate correlation between the input text and the generated image.

Legal Disclaimer

This package is created for educational and research purposes. By using this package, you agree to do so at your own risk. This package is not affiliated, endorsed, or sponsored by Ideogram in any way.

Requirements

  • Python 3.x
  • pip

Installation

From PyPI

To install the package from PyPI, run the following command:

pip install ideogram_wrapper

From GitHub Repository

To install the package directly from the GitHub repository, run:

pip install git+https://github.com/flowese/IdeogramWrapper.git

Configuration

Obtaining the Session Token

  1. Sign up at Ideogram.
  2. Once registered, open your browser's inspector:
    • In Chrome: Ctrl+Shift+I or F12 on Windows, Cmd+Option+I on Mac.
  3. Go to the Application tab.
  4. On the left panel, locate and click on Cookies, then select the Ideogram website.
  5. Find the cookie named session_cookie.
  6. Click on session_cookie and copy the value in the Value field.

Ideogram Wrapper

Usage

To use ideogram_wrapper, import the IdeogramWrapper class and provide the necessary parameters.

fromideogram_wrapperimportIdeogramWrapperideogram=IdeogramWrapper(
session_cookie_token="your_token_here", # The value you copied from the session cookieprompt="a picture of a dog with a sign saying 'Hello World'",
aspect_ratio="landscape", # Can be "landscape", "portrait", or "square"output_dir="images",
enable_logging=True
)
ideogram.inference()

Parameters

  • session_cookie_token: (Required) The session token you obtained from the cookie.
  • prompt: (Required) The textual prompt for generating the image.
  • aspect_ratio: (Optional) The aspect ratio of the image. Can be "landscape", "portrait", or "square". Default is "square".
  • output_dir: (Optional) The directory where the generated images will be saved. Defaults to a folder named "images".
  • enable_logging: (Optional) Whether to enable logging. Default is False.

License

This project is licensed under the MIT License.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and send a pull request, or open an issue to discuss what you'd like to change. All contributions are welcome!

TODO

Pending Tasks and Features

  • Implement n_images for parameterizing the number of images to be generated (currently defaults to 4).
  • Implement auto-renewal of the session_cookie_token.
  • Generate different images from a list of prompts.
  • Implement an asynchronous version.
  • Study the possibility of implementing a user interface DEMO via Streamlit or Gradio (to be decided).

About

IdeogramWrapper Is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API (https://ideogram.ai/) and is not officially endorsed by Ideogram

Resources

Readme
MIT license
Activity

Stars

76 stars

Watchers

6 watching

Forks

8 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Ideogram Wrapper

Ideogram Wrapper

Written by @Flowese

Open Demo In Colab

Description

ideogram_wrapper is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API and is not officially endorsed by Ideogram.

Advantages Over Other Models

Unlike other generative models like DALL-E 2 or MidJourney, Ideogram has the unique advantage of generating images that faithfully respect the text prompts you provide. This makes it a superior choice when you need accurate correlation between the input text and the generated image.

Legal Disclaimer

This package is created for educational and research purposes. By using this package, you agree to do so at your own risk. This package is not affiliated, endorsed, or sponsored by Ideogram in any way.

Requirements

  • Python 3.x
  • pip

Installation

From PyPI

To install the package from PyPI, run the following command:

pip install ideogram_wrapper

From GitHub Repository

To install the package directly from the GitHub repository, run:

pip install git+https://github.com/flowese/IdeogramWrapper.git

Configuration

Obtaining the Session Token

  1. Sign up at Ideogram.
  2. Once registered, open your browser's inspector:
    • In Chrome: Ctrl+Shift+I or F12 on Windows, Cmd+Option+I on Mac.
  3. Go to the Application tab.
  4. On the left panel, locate and click on Cookies, then select the Ideogram website.
  5. Find the cookie named session_cookie.
  6. Click on session_cookie and copy the value in the Value field.

Ideogram Wrapper

Usage

To use ideogram_wrapper, import the IdeogramWrapper class and provide the necessary parameters.

fromideogram_wrapperimportIdeogramWrapperideogram=IdeogramWrapper(
session_cookie_token="your_token_here", # The value you copied from the session cookieprompt="a picture of a dog with a sign saying 'Hello World'",
aspect_ratio="landscape", # Can be "landscape", "portrait", or "square"output_dir="images",
enable_logging=True
)
ideogram.inference()

Parameters

  • session_cookie_token: (Required) The session token you obtained from the cookie.
  • prompt: (Required) The textual prompt for generating the image.
  • aspect_ratio: (Optional) The aspect ratio of the image. Can be "landscape", "portrait", or "square". Default is "square".
  • output_dir: (Optional) The directory where the generated images will be saved. Defaults to a folder named "images".
  • enable_logging: (Optional) Whether to enable logging. Default is False.

License

This project is licensed under the MIT License.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and send a pull request, or open an issue to discuss what you'd like to change. All contributions are welcome!

TODO

Pending Tasks and Features

  • Implement n_images for parameterizing the number of images to be generated (currently defaults to 4).
  • Implement auto-renewal of the session_cookie_token.
  • Generate different images from a list of prompts.
  • Implement an asynchronous version.
  • Study the possibility of implementing a user interface DEMO via Streamlit or Gradio (to be decided).

About

IdeogramWrapper Is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API (https://ideogram.ai/) and is not officially endorsed by Ideogram

Resources

Readme
MIT license
Activity

Stars

76 stars

Watchers

6 watching

Forks

8 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Ideogram Wrapper

Ideogram Wrapper

Written by @Flowese

Open Demo In Colab

Description

ideogram_wrapper is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API and is not officially endorsed by Ideogram.

Advantages Over Other Models

Unlike other generative models like DALL-E 2 or MidJourney, Ideogram has the unique advantage of generating images that faithfully respect the text prompts you provide. This makes it a superior choice when you need accurate correlation between the input text and the generated image.

Legal Disclaimer

This package is created for educational and research purposes. By using this package, you agree to do so at your own risk. This package is not affiliated, endorsed, or sponsored by Ideogram in any way.

Requirements

  • Python 3.x
  • pip

Installation

From PyPI

To install the package from PyPI, run the following command:

pip install ideogram_wrapper

From GitHub Repository

To install the package directly from the GitHub repository, run:

pip install git+https://github.com/flowese/IdeogramWrapper.git

Configuration

Obtaining the Session Token

  1. Sign up at Ideogram.
  2. Once registered, open your browser's inspector:
    • In Chrome: Ctrl+Shift+I or F12 on Windows, Cmd+Option+I on Mac.
  3. Go to the Application tab.
  4. On the left panel, locate and click on Cookies, then select the Ideogram website.
  5. Find the cookie named session_cookie.
  6. Click on session_cookie and copy the value in the Value field.

Ideogram Wrapper

Usage

To use ideogram_wrapper, import the IdeogramWrapper class and provide the necessary parameters.

fromideogram_wrapperimportIdeogramWrapperideogram=IdeogramWrapper(
session_cookie_token="your_token_here", # The value you copied from the session cookieprompt="a picture of a dog with a sign saying 'Hello World'",
aspect_ratio="landscape", # Can be "landscape", "portrait", or "square"output_dir="images",
enable_logging=True
)
ideogram.inference()

Parameters

  • session_cookie_token: (Required) The session token you obtained from the cookie.
  • prompt: (Required) The textual prompt for generating the image.
  • aspect_ratio: (Optional) The aspect ratio of the image. Can be "landscape", "portrait", or "square". Default is "square".
  • output_dir: (Optional) The directory where the generated images will be saved. Defaults to a folder named "images".
  • enable_logging: (Optional) Whether to enable logging. Default is False.

License

This project is licensed under the MIT License.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and send a pull request, or open an issue to discuss what you'd like to change. All contributions are welcome!

TODO

Pending Tasks and Features

  • Implement n_images for parameterizing the number of images to be generated (currently defaults to 4).
  • Implement auto-renewal of the session_cookie_token.
  • Generate different images from a list of prompts.
  • Implement an asynchronous version.
  • Study the possibility of implementing a user interface DEMO via Streamlit or Gradio (to be decided).

About

IdeogramWrapper Is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API (https://ideogram.ai/) and is not officially endorsed by Ideogram

Resources

Readme
MIT license
Activity

Stars

76 stars

Watchers

6 watching

Forks

8 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Ideogram Wrapper

Ideogram Wrapper

Written by @Flowese

Open Demo In Colab

Description

ideogram_wrapper is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API and is not officially endorsed by Ideogram.

Advantages Over Other Models

Unlike other generative models like DALL-E 2 or MidJourney, Ideogram has the unique advantage of generating images that faithfully respect the text prompts you provide. This makes it a superior choice when you need accurate correlation between the input text and the generated image.

Legal Disclaimer

This package is created for educational and research purposes. By using this package, you agree to do so at your own risk. This package is not affiliated, endorsed, or sponsored by Ideogram in any way.

Requirements

  • Python 3.x
  • pip

Installation

From PyPI

To install the package from PyPI, run the following command:

pip install ideogram_wrapper

From GitHub Repository

To install the package directly from the GitHub repository, run:

pip install git+https://github.com/flowese/IdeogramWrapper.git

Configuration

Obtaining the Session Token

  1. Sign up at Ideogram.
  2. Once registered, open your browser's inspector:
    • In Chrome: Ctrl+Shift+I or F12 on Windows, Cmd+Option+I on Mac.
  3. Go to the Application tab.
  4. On the left panel, locate and click on Cookies, then select the Ideogram website.
  5. Find the cookie named session_cookie.
  6. Click on session_cookie and copy the value in the Value field.

Ideogram Wrapper

Usage

To use ideogram_wrapper, import the IdeogramWrapper class and provide the necessary parameters.

fromideogram_wrapperimportIdeogramWrapperideogram=IdeogramWrapper(
session_cookie_token="your_token_here", # The value you copied from the session cookieprompt="a picture of a dog with a sign saying 'Hello World'",
aspect_ratio="landscape", # Can be "landscape", "portrait", or "square"output_dir="images",
enable_logging=True
)
ideogram.inference()

Parameters

  • session_cookie_token: (Required) The session token you obtained from the cookie.
  • prompt: (Required) The textual prompt for generating the image.
  • aspect_ratio: (Optional) The aspect ratio of the image. Can be "landscape", "portrait", or "square". Default is "square".
  • output_dir: (Optional) The directory where the generated images will be saved. Defaults to a folder named "images".
  • enable_logging: (Optional) Whether to enable logging. Default is False.

License

This project is licensed under the MIT License.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and send a pull request, or open an issue to discuss what you'd like to change. All contributions are welcome!

TODO

Pending Tasks and Features

  • Implement n_images for parameterizing the number of images to be generated (currently defaults to 4).
  • Implement auto-renewal of the session_cookie_token.
  • Generate different images from a list of prompts.
  • Implement an asynchronous version.
  • Study the possibility of implementing a user interface DEMO via Streamlit or Gradio (to be decided).

About

IdeogramWrapper Is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API (https://ideogram.ai/) and is not officially endorsed by Ideogram

Resources

Readme
MIT license
Activity

Stars

76 stars

Watchers

6 watching

Forks

8 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Ideogram Wrapper

Ideogram Wrapper

Written by @Flowese

Open Demo In Colab

Description

ideogram_wrapper is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API and is not officially endorsed by Ideogram.

Advantages Over Other Models

Unlike other generative models like DALL-E 2 or MidJourney, Ideogram has the unique advantage of generating images that faithfully respect the text prompts you provide. This makes it a superior choice when you need accurate correlation between the input text and the generated image.

Legal Disclaimer

This package is created for educational and research purposes. By using this package, you agree to do so at your own risk. This package is not affiliated, endorsed, or sponsored by Ideogram in any way.

Requirements

  • Python 3.x
  • pip

Installation

From PyPI

To install the package from PyPI, run the following command:

pip install ideogram_wrapper

From GitHub Repository

To install the package directly from the GitHub repository, run:

pip install git+https://github.com/flowese/IdeogramWrapper.git

Configuration

Obtaining the Session Token

  1. Sign up at Ideogram.
  2. Once registered, open your browser's inspector:
    • In Chrome: Ctrl+Shift+I or F12 on Windows, Cmd+Option+I on Mac.
  3. Go to the Application tab.
  4. On the left panel, locate and click on Cookies, then select the Ideogram website.
  5. Find the cookie named session_cookie.
  6. Click on session_cookie and copy the value in the Value field.

Ideogram Wrapper

Usage

To use ideogram_wrapper, import the IdeogramWrapper class and provide the necessary parameters.

fromideogram_wrapperimportIdeogramWrapperideogram=IdeogramWrapper(
session_cookie_token="your_token_here", # The value you copied from the session cookieprompt="a picture of a dog with a sign saying 'Hello World'",
aspect_ratio="landscape", # Can be "landscape", "portrait", or "square"output_dir="images",
enable_logging=True
)
ideogram.inference()

Parameters

  • session_cookie_token: (Required) The session token you obtained from the cookie.
  • prompt: (Required) The textual prompt for generating the image.
  • aspect_ratio: (Optional) The aspect ratio of the image. Can be "landscape", "portrait", or "square". Default is "square".
  • output_dir: (Optional) The directory where the generated images will be saved. Defaults to a folder named "images".
  • enable_logging: (Optional) Whether to enable logging. Default is False.

License

This project is licensed under the MIT License.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and send a pull request, or open an issue to discuss what you'd like to change. All contributions are welcome!

TODO

Pending Tasks and Features

  • Implement n_images for parameterizing the number of images to be generated (currently defaults to 4).
  • Implement auto-renewal of the session_cookie_token.
  • Generate different images from a list of prompts.
  • Implement an asynchronous version.
  • Study the possibility of implementing a user interface DEMO via Streamlit or Gradio (to be decided).

About

IdeogramWrapper Is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API (https://ideogram.ai/) and is not officially endorsed by Ideogram

Resources

Readme
MIT license
Activity

Stars

76 stars

Watchers

6 watching

Forks

8 forks
Report repository

Releases

Packages

Used by

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Ideogram Wrapper

Ideogram Wrapper

Written by @Flowese

Open Demo In Colab

Description

ideogram_wrapper is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API and is not officially endorsed by Ideogram.

Advantages Over Other Models

Unlike other generative models like DALL-E 2 or MidJourney, Ideogram has the unique advantage of generating images that faithfully respect the text prompts you provide. This makes it a superior choice when you need accurate correlation between the input text and the generated image.

Legal Disclaimer

This package is created for educational and research purposes. By using this package, you agree to do so at your own risk. This package is not affiliated, endorsed, or sponsored by Ideogram in any way.

Requirements

  • Python 3.x
  • pip

Installation

From PyPI

To install the package from PyPI, run the following command:

pip install ideogram_wrapper

From GitHub Repository

To install the package directly from the GitHub repository, run:

pip install git+https://github.com/flowese/IdeogramWrapper.git

Configuration

Obtaining the Session Token

  1. Sign up at Ideogram.
  2. Once registered, open your browser's inspector:
    • In Chrome: Ctrl+Shift+I or F12 on Windows, Cmd+Option+I on Mac.
  3. Go to the Application tab.
  4. On the left panel, locate and click on Cookies, then select the Ideogram website.
  5. Find the cookie named session_cookie.
  6. Click on session_cookie and copy the value in the Value field.

Ideogram Wrapper

Usage

To use ideogram_wrapper, import the IdeogramWrapper class and provide the necessary parameters.

fromideogram_wrapperimportIdeogramWrapperideogram=IdeogramWrapper(
session_cookie_token="your_token_here", # The value you copied from the session cookieprompt="a picture of a dog with a sign saying 'Hello World'",
aspect_ratio="landscape", # Can be "landscape", "portrait", or "square"output_dir="images",
enable_logging=True
)
ideogram.inference()

Parameters

  • session_cookie_token: (Required) The session token you obtained from the cookie.
  • prompt: (Required) The textual prompt for generating the image.
  • aspect_ratio: (Optional) The aspect ratio of the image. Can be "landscape", "portrait", or "square". Default is "square".
  • output_dir: (Optional) The directory where the generated images will be saved. Defaults to a folder named "images".
  • enable_logging: (Optional) Whether to enable logging. Default is False.

License

This project is licensed under the MIT License.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and send a pull request, or open an issue to discuss what you'd like to change. All contributions are welcome!

TODO

Pending Tasks and Features

  • Implement n_images for parameterizing the number of images to be generated (currently defaults to 4).
  • Implement auto-renewal of the session_cookie_token.
  • Generate different images from a list of prompts.
  • Implement an asynchronous version.
  • Study the possibility of implementing a user interface DEMO via Streamlit or Gradio (to be decided).

About

IdeogramWrapper Is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API (https://ideogram.ai/) and is not officially endorsed by Ideogram

Resources

Readme
MIT license
Activity

Stars

76 stars

Watchers

6 watching

Forks

8 forks
Report repository

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Packages

Used by

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Ideogram Wrapper

Ideogram Wrapper

Written by @Flowese

Open Demo In Colab

Description

ideogram_wrapper is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API and is not officially endorsed by Ideogram.

Advantages Over Other Models

Unlike other generative models like DALL-E 2 or MidJourney, Ideogram has the unique advantage of generating images that faithfully respect the text prompts you provide. This makes it a superior choice when you need accurate correlation between the input text and the generated image.

Legal Disclaimer

This package is created for educational and research purposes. By using this package, you agree to do so at your own risk. This package is not affiliated, endorsed, or sponsored by Ideogram in any way.

Requirements

  • Python 3.x
  • pip

Installation

From PyPI

To install the package from PyPI, run the following command:

pip install ideogram_wrapper

From GitHub Repository

To install the package directly from the GitHub repository, run:

pip install git+https://github.com/flowese/IdeogramWrapper.git

Configuration

Obtaining the Session Token

  1. Sign up at Ideogram.
  2. Once registered, open your browser's inspector:
    • In Chrome: Ctrl+Shift+I or F12 on Windows, Cmd+Option+I on Mac.
  3. Go to the Application tab.
  4. On the left panel, locate and click on Cookies, then select the Ideogram website.
  5. Find the cookie named session_cookie.
  6. Click on session_cookie and copy the value in the Value field.

Ideogram Wrapper

Usage

To use ideogram_wrapper, import the IdeogramWrapper class and provide the necessary parameters.

fromideogram_wrapperimportIdeogramWrapperideogram=IdeogramWrapper(
session_cookie_token="your_token_here", # The value you copied from the session cookieprompt="a picture of a dog with a sign saying 'Hello World'",
aspect_ratio="landscape", # Can be "landscape", "portrait", or "square"output_dir="images",
enable_logging=True
)
ideogram.inference()

Parameters

  • session_cookie_token: (Required) The session token you obtained from the cookie.
  • prompt: (Required) The textual prompt for generating the image.
  • aspect_ratio: (Optional) The aspect ratio of the image. Can be "landscape", "portrait", or "square". Default is "square".
  • output_dir: (Optional) The directory where the generated images will be saved. Defaults to a folder named "images".
  • enable_logging: (Optional) Whether to enable logging. Default is False.

License

This project is licensed under the MIT License.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and send a pull request, or open an issue to discuss what you'd like to change. All contributions are welcome!

TODO

Pending Tasks and Features

  • Implement n_images for parameterizing the number of images to be generated (currently defaults to 4).
  • Implement auto-renewal of the session_cookie_token.
  • Generate different images from a list of prompts.
  • Implement an asynchronous version.
  • Study the possibility of implementing a user interface DEMO via Streamlit or Gradio (to be decided).

About

IdeogramWrapper Is a Python package that allows you to generate images from Ideogram's API using textual prompts. This package is based on reverse engineering of Ideogram's API (https://ideogram.ai/) and is not officially endorsed by Ideogram

Resources

Readme
MIT license
Activity

Stars

76 stars

Watchers

6 watching

Forks

8 forks
Report repository

Releases

Packages

Used by

Contributors

Languages